Warning: Permanently added '54.92.136.4' (ED25519) to the list of known hosts.

You can reproduce this build on your computer by running:

  sudo dnf install copr-rpmbuild
  /usr/bin/copr-rpmbuild --verbose --drop-resultdir --task-url https://copr.fedorainfracloud.org/backend/get-build-task/8271716-fedora-rawhide-aarch64 --chroot fedora-rawhide-aarch64


Version: 1.1
PID: 7348
Logging PID: 7349
Task:
{'allow_user_ssh': False,
 'appstream': False,
 'background': True,
 'build_id': 8271716,
 'buildroot_pkgs': [],
 'chroot': 'fedora-rawhide-aarch64',
 'enable_net': False,
 'fedora_review': False,
 'git_hash': 'fc74d3892f7d96ddf152018128294c34eb8e2a7f',
 'git_repo': 'https://copr-dist-git.fedorainfracloud.org/git/psimovec/scipy-1.10.0/python-scikit-learn',
 'isolation': 'default',
 'memory_reqs': 2048,
 'package_name': 'python-scikit-learn',
 'package_version': '1.5.2-2',
 'project_dirname': 'scipy-1.10.0',
 'project_name': 'scipy-1.10.0',
 'project_owner': 'psimovec',
 'repo_priority': None,
 'repos': [{'baseurl': 'https://download.copr.fedorainfracloud.org/results/psimovec/scipy-1.10.0/fedora-rawhide-aarch64/',
            'id': 'copr_base',
            'name': 'Copr repository',
            'priority': None},
           {'baseurl': 'http://kojipkgs.fedoraproject.org/repos/rawhide/latest/$basearch/',
            'id': 'http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch',
            'name': 'Additional repo http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch'}],
 'sandbox': 'psimovec/scipy-1.10.0--https://src.fedoraproject.org/user/adamwill',
 'source_json': {},
 'source_type': None,
 'ssh_public_keys': None,
 'storage': None,
 'submitter': 'https://src.fedoraproject.org/user/adamwill',
 'tags': [],
 'task_id': '8271716-fedora-rawhide-aarch64',
 'timeout': 18000,
 'uses_devel_repo': False,
 'with_opts': [],
 'without_opts': []}

Running: git clone https://copr-dist-git.fedorainfracloud.org/git/psimovec/scipy-1.10.0/python-scikit-learn /var/lib/copr-rpmbuild/workspace/workdir-ncothm9z/python-scikit-learn --depth 500 --no-single-branch --recursive

cmd: ['git', 'clone', 'https://copr-dist-git.fedorainfracloud.org/git/psimovec/scipy-1.10.0/python-scikit-learn', '/var/lib/copr-rpmbuild/workspace/workdir-ncothm9z/python-scikit-learn', '--depth', '500', '--no-single-branch', '--recursive']
cwd: .
rc: 0
stdout: 
stderr: Cloning into '/var/lib/copr-rpmbuild/workspace/workdir-ncothm9z/python-scikit-learn'...

Running: git checkout fc74d3892f7d96ddf152018128294c34eb8e2a7f --

cmd: ['git', 'checkout', 'fc74d3892f7d96ddf152018128294c34eb8e2a7f', '--']
cwd: /var/lib/copr-rpmbuild/workspace/workdir-ncothm9z/python-scikit-learn
rc: 0
stdout: 
stderr: Note: switching to 'fc74d3892f7d96ddf152018128294c34eb8e2a7f'.

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

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

  git switch -c <new-branch-name>

Or undo this operation with:

  git switch -

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

HEAD is now at fc74d38 automatic import of python-scikit-learn

Running: dist-git-client sources

cmd: ['dist-git-client', 'sources']
cwd: /var/lib/copr-rpmbuild/workspace/workdir-ncothm9z/python-scikit-learn
rc: 0
stdout: 
stderr: INFO: Reading stdout from command: git rev-parse --abbrev-ref HEAD
INFO: Reading stdout from command: git rev-parse HEAD
INFO: Reading sources specification file: sources
INFO: Downloading scikit_learn-1.5.2.tar.gz
INFO: Reading stdout from command: curl --help all
INFO: Calling: curl -H Pragma: -o scikit_learn-1.5.2.tar.gz --location --connect-timeout 60 --retry 3 --retry-delay 10 --remote-time --show-error --fail --retry-all-errors https://copr-dist-git.fedorainfracloud.org/repo/pkgs/psimovec/scipy-1.10.0/python-scikit-learn/scikit_learn-1.5.2.tar.gz/md5/e2df2bb829d461207fe8780f3e9a9cde/scikit_learn-1.5.2.tar.gz
  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed
100 6837k  100 6837k    0     0   197M      0 --:--:-- --:--:-- --:--:--  202M
INFO: Reading stdout from command: md5sum scikit_learn-1.5.2.tar.gz

/usr/bin/tail: /var/lib/copr-rpmbuild/main.log: file truncated
Running (timeout=18000): unbuffer mock --spec /var/lib/copr-rpmbuild/workspace/workdir-ncothm9z/python-scikit-learn/python-scikit-learn.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-ncothm9z/python-scikit-learn --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1731780487.781730 -r /var/lib/copr-rpmbuild/results/configs/child.cfg
INFO: mock.py version 5.9 starting (python version = 3.12.1, NVR = mock-5.9-1.fc39), args: /usr/libexec/mock/mock --spec /var/lib/copr-rpmbuild/workspace/workdir-ncothm9z/python-scikit-learn/python-scikit-learn.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-ncothm9z/python-scikit-learn --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1731780487.781730 -r /var/lib/copr-rpmbuild/results/configs/child.cfg
Start(bootstrap): init plugins
INFO: tmpfs initialized
INFO: selinux enabled
INFO: chroot_scan: initialized
INFO: compress_logs: initialized
Finish(bootstrap): init plugins
Start: init plugins
INFO: tmpfs initialized
INFO: selinux enabled
INFO: chroot_scan: initialized
INFO: compress_logs: initialized
Finish: init plugins
INFO: Signal handler active
Start: run
INFO: Start(/var/lib/copr-rpmbuild/workspace/workdir-ncothm9z/python-scikit-learn/python-scikit-learn.spec)  Config(fedora-rawhide-aarch64)
Start: clean chroot
Finish: clean chroot
Mock Version: 5.9
INFO: Mock Version: 5.9
Start(bootstrap): chroot init
INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-aarch64-bootstrap-1731780487.781730/root.
INFO: calling preinit hooks
INFO: enabled root cache
INFO: enabled package manager cache
Start(bootstrap): cleaning package manager metadata
Finish(bootstrap): cleaning package manager metadata
INFO: Guessed host environment type: unknown
INFO: Using bootstrap image: registry.fedoraproject.org/fedora:rawhide
INFO: Pulling image: registry.fedoraproject.org/fedora:rawhide
INFO: Copy content of container registry.fedoraproject.org/fedora:rawhide to /var/lib/mock/fedora-rawhide-aarch64-bootstrap-1731780487.781730/root
INFO: Checking that registry.fedoraproject.org/fedora:rawhide image matches host's architecture
INFO: mounting registry.fedoraproject.org/fedora:rawhide with podman image mount
INFO: image registry.fedoraproject.org/fedora:rawhide as /var/lib/containers/storage/overlay/a5c4ec7d78308b8c9a16583b77099b228a460d56d083628eb319a97744a95c28/merged
INFO: umounting image registry.fedoraproject.org/fedora:rawhide (/var/lib/containers/storage/overlay/a5c4ec7d78308b8c9a16583b77099b228a460d56d083628eb319a97744a95c28/merged) with podman image umount
INFO: Package manager dnf5 detected and used (fallback)
INFO: Not updating bootstrap chroot, bootstrap_image_ready=True
Start(bootstrap): creating root cache
Finish(bootstrap): creating root cache
Finish(bootstrap): chroot init
Start: chroot init
INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-aarch64-1731780487.781730/root.
INFO: calling preinit hooks
INFO: enabled root cache
INFO: enabled package manager cache
Start: cleaning package manager metadata
Finish: cleaning package manager metadata
INFO: enabled HW Info plugin
INFO: Package manager dnf5 detected and used (direct choice)
INFO: Buildroot is handled by package management downloaded with a bootstrap image:
  rpm-4.20.0-1.fc42.aarch64
  rpm-sequoia-1.7.0-2.fc41.aarch64
  dnf5-5.2.7.0-1.fc42.aarch64
  dnf5-plugins-5.2.7.0-1.fc42.aarch64
Start: installing minimal buildroot with dnf5
Updating and loading repositories:
 fedora                                 100% |  33.7 MiB/s |  20.8 MiB |  00m01s
 Copr repository                        100% |   6.9 MiB/s | 365.3 KiB |  00m00s
 Additional repo http_kojipkgs_fedorapr 100% |  52.0 MiB/s |  14.2 MiB |  00m00s
Repositories loaded.
Package                            Arch    Version                    Repository                                                         Size
Installing group/module packages:
 bash                              aarch64 5.2.37-1.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   8.2 MiB
 bzip2                             aarch64 1.0.8-19.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 427.6 KiB
 coreutils                         aarch64 9.5-11.fc42                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   8.1 MiB
 cpio                              aarch64 2.15-2.fc41                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.2 MiB
 diffutils                         aarch64 3.10-8.fc41                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.1 MiB
 fedora-release-common             noarch  42-0.8                     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  19.7 KiB
 findutils                         aarch64 1:4.10.0-4.fc41            http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.1 MiB
 gawk                              aarch64 5.3.0-4.fc41               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   4.2 MiB
 glibc-minimal-langpack            aarch64 2.40.9000-18.fc42          http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   0.0   B
 grep                              aarch64 3.11-9.fc41                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.1 MiB
 gzip                              aarch64 1.13-2.fc41                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 488.9 KiB
 info                              aarch64 7.1.1-2.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 613.6 KiB
 patch                             aarch64 2.7.6-25.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 390.6 KiB
 redhat-rpm-config                 noarch  296-1.fc42                 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 186.6 KiB
 rpm-build                         aarch64 4.20.0-1.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.4 MiB
 sed                               aarch64 4.9-3.fc41                 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.0 MiB
 shadow-utils                      aarch64 2:4.16.0-7.fc42            http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   5.0 MiB
 tar                               aarch64 2:1.35-4.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   3.1 MiB
 unzip                             aarch64 6.0-64.fc41                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 726.7 KiB
 util-linux                        aarch64 2.40.2-8.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  16.9 MiB
 which                             aarch64 2.21-42.fc41               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 248.2 KiB
 xz                                aarch64 1:5.6.3-2.fc42             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.5 MiB
Installing dependencies:
 add-determinism                   aarch64 0.4.3-1.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.1 MiB
 alternatives                      aarch64 1.30-1.fc41                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 218.3 KiB
 ansible-srpm-macros               noarch  1-16.fc41                  http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  35.7 KiB
 audit-libs                        aarch64 4.0.2-1.fc41               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 547.4 KiB
 authselect                        aarch64 1.5.0-8.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 309.5 KiB
 authselect-libs                   aarch64 1.5.0-8.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 931.9 KiB
 basesystem                        noarch  11-21.fc41                 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   0.0   B
 binutils                          aarch64 2.43.50-7.fc42             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  31.9 MiB
 build-reproducibility-srpm-macros noarch  0.4.3-1.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 735.0   B
 bzip2-libs                        aarch64 1.0.8-19.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 200.7 KiB
 ca-certificates                   noarch  2024.2.69_v8.0.401-2.fc42  http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.6 MiB
 coreutils-common                  aarch64 9.5-11.fc42                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  11.2 MiB
 cracklib                          aarch64 2.9.11-6.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 935.0 KiB
 crypto-policies                   noarch  20241106-1.git35892de.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 136.9 KiB
 curl                              aarch64 8.10.1-2.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 581.3 KiB
 cyrus-sasl-lib                    aarch64 2.1.28-27.fc41             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   3.1 MiB
 debugedit                         aarch64 5.1-1.fc42                 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 244.3 KiB
 dwz                               aarch64 0.15-8.fc42                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 386.8 KiB
 ed                                aarch64 1.20.2-2.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 282.8 KiB
 efi-srpm-macros                   noarch  5-12.fc41                  http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  40.1 KiB
 elfutils                          aarch64 0.192-6.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   3.1 MiB
 elfutils-debuginfod-client        aarch64 0.192-6.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 144.3 KiB
 elfutils-default-yama-scope       noarch  0.192-6.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.8 KiB
 elfutils-libelf                   aarch64 0.192-6.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.2 MiB
 elfutils-libs                     aarch64 0.192-6.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 748.1 KiB
 fedora-gpg-keys                   noarch  42-0.3                     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 126.4 KiB
 fedora-release                    noarch  42-0.8                     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   0.0   B
 fedora-release-identity-basic     noarch  42-0.8                     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 719.0   B
 fedora-repos                      noarch  42-0.3                     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   4.9 KiB
 fedora-repos-rawhide              noarch  42-0.3                     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.2 KiB
 file                              aarch64 5.45-7.fc41                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 267.5 KiB
 file-libs                         aarch64 5.45-7.fc41                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  10.0 MiB
 filesystem                        aarch64 3.18-29.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 106.0   B
 fonts-srpm-macros                 noarch  1:2.0.5-17.fc41            http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  55.8 KiB
 forge-srpm-macros                 noarch  0.4.0-1.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  38.9 KiB
 fpc-srpm-macros                   noarch  1.3-13.fc41                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 144.0   B
 gdb-minimal                       aarch64 15.2-3.fc42                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  13.2 MiB
 gdbm                              aarch64 1:1.23-7.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 928.5 KiB
 gdbm-libs                         aarch64 1:1.23-7.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 426.0 KiB
 ghc-srpm-macros                   noarch  1.9.2-1.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 779.0   B
 glibc                             aarch64 2.40.9000-18.fc42          http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   6.2 MiB
 glibc-common                      aarch64 2.40.9000-18.fc42          http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.3 MiB
 glibc-gconv-extra                 aarch64 2.40.9000-18.fc42          http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  18.6 MiB
 gmp                               aarch64 1:6.3.0-2.fc41             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 722.0 KiB
 gnat-srpm-macros                  noarch  6-6.fc41                   http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.0 KiB
 go-srpm-macros                    noarch  3.6.0-3.fc41               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  60.8 KiB
 groff-base                        aarch64 1.23.0-7.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   5.2 MiB
 jansson                           aarch64 2.14-1.fc42                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 221.3 KiB
 json-c                            aarch64 0.18-1.fc42                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 139.2 KiB
 kernel-srpm-macros                noarch  1.0-24.fc41                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.9 KiB
 keyutils-libs                     aarch64 1.6.3-4.fc41               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 226.4 KiB
 krb5-libs                         aarch64 1.21.3-3.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.6 MiB
 libacl                            aarch64 2.3.2-2.fc41               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 196.1 KiB
 libarchive                        aarch64 3.7.7-1.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 912.2 KiB
 libattr                           aarch64 2.5.2-4.fc41               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 196.6 KiB
 libblkid                          aarch64 2.40.2-8.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 418.6 KiB
 libbrotli                         aarch64 1.1.0-5.fc41               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.1 MiB
 libcap                            aarch64 2.71-1.fc42                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 509.8 KiB
 libcap-ng                         aarch64 0.8.5-3.fc41               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 417.2 KiB
 libcom_err                        aarch64 1.47.1-6.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 239.3 KiB
 libcurl                           aarch64 8.10.1-2.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 858.4 KiB
 libeconf                          aarch64 0.7.4-3.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  85.7 KiB
 libevent                          aarch64 2.1.12-14.fc41             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.5 MiB
 libfdisk                          aarch64 2.40.2-8.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 482.9 KiB
 libffi                            aarch64 3.4.6-3.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 282.4 KiB
 libgcc                            aarch64 14.2.1-6.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 222.2 KiB
 libgomp                           aarch64 14.2.1-6.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 503.2 KiB
 libidn2                           aarch64 2.3.7-2.fc41               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 457.2 KiB
 libmount                          aarch64 2.40.2-8.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 483.9 KiB
 libnghttp2                        aarch64 1.64.0-1.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 262.2 KiB
 libnsl2                           aarch64 2.0.1-2.fc41               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 222.0 KiB
 libpkgconf                        aarch64 2.3.0-1.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 198.1 KiB
 libpsl                            aarch64 0.21.5-4.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 196.6 KiB
 libpwquality                      aarch64 1.4.5-11.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.1 MiB
 libselinux                        aarch64 3.7-6.fc42                 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 265.1 KiB
 libsemanage                       aarch64 3.7-3.fc42                 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 361.6 KiB
 libsepol                          aarch64 3.7-3.fc42                 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 873.9 KiB
 libsmartcols                      aarch64 2.40.2-8.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 288.5 KiB
 libssh                            aarch64 0.11.1-1.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 649.6 KiB
 libssh-config                     noarch  0.11.1-1.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 277.0   B
 libstdc++                         aarch64 14.2.1-6.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.8 MiB
 libtasn1                          aarch64 4.19.0-9.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 283.8 KiB
 libtirpc                          aarch64 1.3.6-1.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 212.9 KiB
 libtool-ltdl                      aarch64 2.4.7-12.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 222.2 KiB
 libunistring                      aarch64 1.1-8.fc41                 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.8 MiB
 libuuid                           aarch64 2.40.2-8.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 197.5 KiB
 libverto                          aarch64 0.3.2-9.fc41               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 197.5 KiB
 libxcrypt                         aarch64 4.4.36-10.fc42             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 271.7 KiB
 libxml2                           aarch64 2.12.8-2.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.1 MiB
 libzstd                           aarch64 1.5.6-2.fc41               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 796.0 KiB
 lua-libs                          aarch64 5.4.7-1.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 393.1 KiB
 lua-srpm-macros                   noarch  1-14.fc41                  http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.3 KiB
 lz4-libs                          aarch64 1.10.0-1.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 261.6 KiB
 mpfr                              aarch64 4.2.1-5.fc41               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 818.9 KiB
 ncurses                           aarch64 6.5-2.20240629.fc41        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.7 MiB
 ncurses-base                      noarch  6.5-2.20240629.fc41        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 326.3 KiB
 ncurses-libs                      aarch64 6.5-2.20240629.fc41        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.2 MiB
 ocaml-srpm-macros                 noarch  10-3.fc41                  http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.9 KiB
 openblas-srpm-macros              noarch  2-18.fc41                  http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 112.0   B
 openldap                          aarch64 2.6.8-5.fc41               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 952.3 KiB
 openssl-libs                      aarch64 1:3.2.2-8.fc42             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   7.2 MiB
 p11-kit                           aarch64 0.25.5-4.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.6 MiB
 p11-kit-trust                     aarch64 0.25.5-4.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 655.7 KiB
 package-notes-srpm-macros         noarch  0.5-12.fc41                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.6 KiB
 pam                               aarch64 1.7.0-2.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   4.3 MiB
 pam-libs                          aarch64 1.7.0-2.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 223.7 KiB
 pcre2                             aarch64 10.44-1.fc41.1             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 905.5 KiB
 pcre2-syntax                      noarch  10.44-1.fc41.1             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 251.6 KiB
 perl-AutoLoader                   noarch  5.74-512.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  20.5 KiB
 perl-B                            aarch64 1.89-512.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 606.1 KiB
 perl-Carp                         noarch  1.54-511.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  46.6 KiB
 perl-Class-Struct                 noarch  0.68-512.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  25.4 KiB
 perl-Data-Dumper                  aarch64 2.189-512.fc41             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 263.8 KiB
 perl-Digest                       noarch  1.20-511.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  35.3 KiB
 perl-Digest-MD5                   aarch64 2.59-5.fc41                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 231.9 KiB
 perl-DynaLoader                   aarch64 1.56-512.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  32.1 KiB
 perl-Encode                       aarch64 4:3.21-511.fc41            http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   5.9 MiB
 perl-Errno                        aarch64 1.38-512.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   8.4 KiB
 perl-Exporter                     noarch  5.78-511.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  54.3 KiB
 perl-Fcntl                        aarch64 1.18-512.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 221.1 KiB
 perl-File-Basename                noarch  2.86-512.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  14.0 KiB
 perl-File-Path                    noarch  2.18-511.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  63.5 KiB
 perl-File-Temp                    noarch  1:0.231.100-511.fc41       http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 162.3 KiB
 perl-File-stat                    noarch  1.14-512.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  12.5 KiB
 perl-FileHandle                   noarch  2.05-512.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   9.3 KiB
 perl-Getopt-Long                  noarch  1:2.58-2.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 144.5 KiB
 perl-Getopt-Std                   noarch  1.14-512.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  11.2 KiB
 perl-HTTP-Tiny                    noarch  0.090-1.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 154.4 KiB
 perl-IO                           aarch64 1.55-512.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 319.2 KiB
 perl-IO-Socket-IP                 noarch  0.42-512.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  98.7 KiB
 perl-IO-Socket-SSL                noarch  2.089-1.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 703.3 KiB
 perl-IPC-Open3                    noarch  1.22-512.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  22.5 KiB
 perl-MIME-Base32                  noarch  1.303-21.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  30.7 KiB
 perl-MIME-Base64                  aarch64 3.16-511.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 222.2 KiB
 perl-Net-SSLeay                   aarch64 1.94-7.fc41                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.4 MiB
 perl-POSIX                        aarch64 2.20-512.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 327.3 KiB
 perl-PathTools                    aarch64 3.91-511.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 352.1 KiB
 perl-Pod-Escapes                  noarch  1:1.07-511.fc41            http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  24.9 KiB
 perl-Pod-Perldoc                  noarch  3.28.01-512.fc41           http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 163.7 KiB
 perl-Pod-Simple                   noarch  1:3.45-511.fc41            http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 560.9 KiB
 perl-Pod-Usage                    noarch  4:2.03-511.fc41            http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  84.8 KiB
 perl-Scalar-List-Utils            aarch64 5:1.68-1.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 281.0 KiB
 perl-SelectSaver                  noarch  1.02-512.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.2 KiB
 perl-Socket                       aarch64 4:2.038-511.fc41           http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 272.1 KiB
 perl-Storable                     aarch64 1:3.32-511.fc41            http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 372.5 KiB
 perl-Symbol                       noarch  1.09-512.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   6.8 KiB
 perl-Term-ANSIColor               noarch  5.01-512.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  97.5 KiB
 perl-Term-Cap                     noarch  1.18-511.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  29.3 KiB
 perl-Text-ParseWords              noarch  3.31-511.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  13.6 KiB
 perl-Text-Tabs+Wrap               noarch  2024.001-511.fc41          http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  22.6 KiB
 perl-Time-Local                   noarch  2:1.350-511.fc41           http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  69.0 KiB
 perl-URI                          noarch  5.31-1.fc42                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 257.0 KiB
 perl-base                         noarch  2.27-512.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  12.5 KiB
 perl-constant                     noarch  1.33-512.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  26.2 KiB
 perl-if                           noarch  0.61.000-512.fc42          http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   5.8 KiB
 perl-interpreter                  aarch64 4:5.40.0-512.fc42          http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 302.3 KiB
 perl-libnet                       noarch  3.15-512.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 289.4 KiB
 perl-libs                         aarch64 4:5.40.0-512.fc42          http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  10.9 MiB
 perl-locale                       noarch  1.12-512.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   6.5 KiB
 perl-mro                          aarch64 1.29-512.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 209.7 KiB
 perl-overload                     noarch  1.37-512.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  71.5 KiB
 perl-overloading                  noarch  0.02-512.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   4.8 KiB
 perl-parent                       noarch  1:0.242-1.fc42             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  10.0 KiB
 perl-podlators                    noarch  1:6.0.2-2.fc41             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 317.5 KiB
 perl-srpm-macros                  noarch  1-56.fc41                  http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 861.0   B
 perl-vars                         noarch  1.05-512.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   3.9 KiB
 pkgconf                           aarch64 2.3.0-1.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 240.6 KiB
 pkgconf-m4                        noarch  2.3.0-1.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  14.4 KiB
 pkgconf-pkg-config                aarch64 2.3.0-1.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 990.0   B
 popt                              aarch64 1.19-7.fc41                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 272.9 KiB
 publicsuffix-list-dafsa           noarch  20240107-4.fc41            http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  67.5 KiB
 pyproject-srpm-macros             noarch  1.16.2-1.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.9 KiB
 python-srpm-macros                noarch  3.13-3.fc41                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  51.0 KiB
 qt5-srpm-macros                   noarch  5.15.15-1.fc42             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 500.0   B
 qt6-srpm-macros                   noarch  6.8.0-1.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 456.0   B
 readline                          aarch64 8.2-11.fc42                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 753.3 KiB
 rpm                               aarch64 4.20.0-1.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   3.9 MiB
 rpm-build-libs                    aarch64 4.20.0-1.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 262.7 KiB
 rpm-libs                          aarch64 4.20.0-1.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 797.9 KiB
 rpm-sequoia                       aarch64 1.7.0-2.fc41               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.3 MiB
 rust-srpm-macros                  noarch  26.3-3.fc42                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   4.8 KiB
 setup                             noarch  2.15.0-5.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 720.7 KiB
 sqlite-libs                       aarch64 3.47.0-1.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.4 MiB
 systemd-libs                      aarch64 257~rc1-2.fc42             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.5 MiB
 util-linux-core                   aarch64 2.40.2-8.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   6.2 MiB
 xxhash-libs                       aarch64 0.8.2-4.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 212.3 KiB
 xz-libs                           aarch64 1:5.6.3-2.fc42             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 266.4 KiB
 zig-srpm-macros                   noarch  1-3.fc41                   http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.1 KiB
 zip                               aarch64 3.0-41.fc41                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.1 MiB
 zlib-ng-compat                    aarch64 2.2.2-1.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 133.8 KiB
 zstd                              aarch64 1.5.6-2.fc41               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.7 MiB
Installing groups:
 Buildsystem building group                                                                                                                  

Transaction Summary:
 Installing:       213 packages

Total size of inbound packages is 60 MiB. Need to download 60 MiB.
After this operation, 273 MiB extra will be used (install 273 MiB, remove 0 B).
[  1/213] bzip2-0:1.0.8-19.fc41.aarch64 100% |   1.7 MiB/s |  52.4 KiB |  00m00s
[  2/213] cpio-0:2.15-2.fc41.aarch64    100% |  16.4 MiB/s | 284.8 KiB |  00m00s
[  3/213] coreutils-0:9.5-11.fc42.aarch 100% |  18.6 MiB/s |   1.0 MiB |  00m00s
[  4/213] fedora-release-common-0:42-0. 100% |   4.6 MiB/s |  23.5 KiB |  00m00s
[  5/213] bash-0:5.2.37-1.fc42.aarch64  100% |  26.4 MiB/s |   1.8 MiB |  00m00s
[  6/213] diffutils-0:3.10-8.fc41.aarch 100% |  19.3 MiB/s | 394.7 KiB |  00m00s
[  7/213] findutils-1:4.10.0-4.fc41.aar 100% |  38.0 MiB/s | 545.3 KiB |  00m00s
[  8/213] glibc-minimal-langpack-0:2.40 100% |  16.7 MiB/s | 119.5 KiB |  00m00s
[  9/213] gzip-0:1.13-2.fc41.aarch64    100% |  26.5 MiB/s | 163.0 KiB |  00m00s
[ 10/213] gawk-0:5.3.0-4.fc41.aarch64   100% |  55.0 MiB/s |   1.0 MiB |  00m00s
[ 11/213] grep-0:3.11-9.fc41.aarch64    100% |  23.4 MiB/s | 287.8 KiB |  00m00s
[ 12/213] info-0:7.1.1-2.fc42.aarch64   100% |  25.3 MiB/s | 181.3 KiB |  00m00s
[ 13/213] redhat-rpm-config-0:296-1.fc4 100% |  18.5 MiB/s |  75.7 KiB |  00m00s
[ 14/213] patch-0:2.7.6-25.fc41.aarch64 100% |  18.0 MiB/s | 128.8 KiB |  00m00s
[ 15/213] rpm-build-0:4.20.0-1.fc42.aar 100% |  14.9 MiB/s |  76.5 KiB |  00m00s
[ 16/213] sed-0:4.9-3.fc41.aarch64      100% |  27.2 MiB/s | 306.9 KiB |  00m00s
[ 17/213] tar-2:1.35-4.fc41.aarch64     100% |  59.0 MiB/s | 846.1 KiB |  00m00s
[ 18/213] unzip-0:6.0-64.fc41.aarch64   100% |  22.6 MiB/s | 184.8 KiB |  00m00s
[ 19/213] shadow-utils-2:4.16.0-7.fc42. 100% |  59.9 MiB/s |   1.3 MiB |  00m00s
[ 20/213] which-0:2.21-42.fc41.aarch64  100% |   8.1 MiB/s |  41.5 KiB |  00m00s
[ 21/213] util-linux-0:2.40.2-8.fc42.aa 100% |  75.2 MiB/s |   1.1 MiB |  00m00s
[ 22/213] xz-1:5.6.3-2.fc42.aarch64     100% |  41.1 MiB/s | 462.4 KiB |  00m00s
[ 23/213] audit-libs-0:4.0.2-1.fc41.aar 100% |  24.7 MiB/s | 126.6 KiB |  00m00s
[ 24/213] xz-libs-1:5.6.3-2.fc42.aarch6 100% |  18.1 MiB/s | 111.1 KiB |  00m00s
[ 25/213] libblkid-0:2.40.2-8.fc42.aarc 100% |  24.3 MiB/s | 124.3 KiB |  00m00s
[ 26/213] authselect-libs-0:1.5.0-8.fc4 100% |  33.3 MiB/s | 204.7 KiB |  00m00s
[ 27/213] libcap-ng-0:0.8.5-3.fc41.aarc 100% |   6.4 MiB/s |  32.8 KiB |  00m00s
[ 28/213] libfdisk-0:2.40.2-8.fc42.aarc 100% |  30.4 MiB/s | 155.7 KiB |  00m00s
[ 29/213] glibc-0:2.40.9000-18.fc42.aar 100% |  57.8 MiB/s |   1.9 MiB |  00m00s
[ 30/213] libselinux-0:3.7-6.fc42.aarch 100% |  14.3 MiB/s |  87.9 KiB |  00m00s
[ 31/213] libmount-0:2.40.2-8.fc42.aarc 100% |  21.6 MiB/s | 154.6 KiB |  00m00s
[ 32/213] libuuid-0:2.40.2-8.fc42.aarch 100% |   7.2 MiB/s |  29.5 KiB |  00m00s
[ 33/213] libsmartcols-0:2.40.2-8.fc42. 100% |  16.2 MiB/s |  82.9 KiB |  00m00s
[ 34/213] ncurses-libs-0:6.5-2.20240629 100% |  45.6 MiB/s | 326.5 KiB |  00m00s
[ 35/213] pam-libs-0:1.7.0-2.fc42.aarch 100% |  11.4 MiB/s |  58.2 KiB |  00m00s
[ 36/213] pam-0:1.7.0-2.fc42.aarch64    100% |  64.7 MiB/s | 530.0 KiB |  00m00s
[ 37/213] readline-0:8.2-11.fc42.aarch6 100% |  34.6 MiB/s | 212.7 KiB |  00m00s
[ 38/213] zlib-ng-compat-0:2.2.2-1.fc42 100% |  12.8 MiB/s |  65.7 KiB |  00m00s
[ 39/213] systemd-libs-0:257~rc1-2.fc42 100% |  64.1 MiB/s | 787.7 KiB |  00m00s
[ 40/213] util-linux-core-0:2.40.2-8.fc 100% |  50.4 MiB/s | 516.4 KiB |  00m00s
[ 41/213] bzip2-libs-0:1.0.8-19.fc41.aa 100% |  10.4 MiB/s |  42.7 KiB |  00m00s
[ 42/213] libgcc-0:14.2.1-6.fc42.aarch6 100% |  23.1 MiB/s | 118.2 KiB |  00m00s
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[210/213] libssh-config-0:0.11.1-1.fc42 100% |   2.3 MiB/s |   9.4 KiB |  00m00s
[211/213] libevent-0:2.1.12-14.fc41.aar 100% |  35.5 MiB/s | 254.6 KiB |  00m00s
[212/213] publicsuffix-list-dafsa-0:202 100% |  14.2 MiB/s |  58.3 KiB |  00m00s
[213/213] libunistring-0:1.1-8.fc41.aar 100% |  75.3 MiB/s | 539.8 KiB |  00m00s
--------------------------------------------------------------------------------
[213/213] Total                         100% |  98.1 MiB/s |  59.9 MiB |  00m01s
Running transaction
[  1/215] Verify package files          100% | 883.0   B/s | 213.0   B |  00m00s
[  2/215] Prepare transaction           100% |   2.8 KiB/s | 213.0   B |  00m00s
[  3/215] Installing libgcc-0:14.2.1-6. 100% | 109.3 MiB/s | 223.9 KiB |  00m00s
[  4/215] Installing publicsuffix-list- 100% |  66.7 MiB/s |  68.3 KiB |  00m00s
[  5/215] Installing libssh-config-0:0. 100% |   0.0   B/s | 816.0   B |  00m00s
[  6/215] Installing fedora-release-ide 100% |   0.0   B/s | 976.0   B |  00m00s
[  7/215] Installing fedora-gpg-keys-0: 100% |  33.6 MiB/s | 172.2 KiB |  00m00s
[  8/215] Installing fedora-repos-rawhi 100% |   0.0   B/s |   2.4 KiB |  00m00s
[  9/215] Installing fedora-repos-0:42- 100% |   0.0   B/s |   5.7 KiB |  00m00s
[ 10/215] Installing fedora-release-com 100% |  23.4 MiB/s |  24.0 KiB |  00m00s
[ 11/215] Installing fedora-release-0:4 100% |   0.0   B/s | 124.0   B |  00m00s
[ 12/215] Installing setup-0:2.15.0-5.f 100% |  47.3 MiB/s | 726.1 KiB |  00m00s
>>> [RPM] /etc/hosts created as /etc/hosts.rpmnew
[ 13/215] Installing filesystem-0:3.18- 100% |   2.2 MiB/s | 212.6 KiB |  00m00s
[ 14/215] Installing basesystem-0:11-21 100% |   0.0   B/s | 124.0   B |  00m00s
[ 15/215] Installing pcre2-syntax-0:10. 100% | 124.1 MiB/s | 254.1 KiB |  00m00s
[ 16/215] Installing coreutils-common-0 100% | 302.4 MiB/s |  11.2 MiB |  00m00s
[ 17/215] Installing ncurses-base-0:6.5 100% |  49.1 MiB/s | 351.7 KiB |  00m00s
[ 18/215] Installing glibc-minimal-lang 100% |   0.0   B/s | 124.0   B |  00m00s
[ 19/215] Installing ncurses-libs-0:6.5 100% | 281.1 MiB/s |   2.2 MiB |  00m00s
[ 20/215] Installing glibc-0:2.40.9000- 100% | 260.6 MiB/s |   6.3 MiB |  00m00s
[ 21/215] Installing bash-0:5.2.37-1.fc 100% | 316.6 MiB/s |   8.2 MiB |  00m00s
[ 22/215] Installing glibc-common-0:2.4 100% | 190.1 MiB/s |   1.3 MiB |  00m00s
[ 23/215] Installing glibc-gconv-extra- 100% | 345.8 MiB/s |  18.7 MiB |  00m00s
[ 24/215] Installing zlib-ng-compat-0:2 100% | 131.5 MiB/s | 134.6 KiB |  00m00s
[ 25/215] Installing xz-libs-1:5.6.3-2. 100% | 130.6 MiB/s | 267.5 KiB |  00m00s
[ 26/215] Installing bzip2-libs-0:1.0.8 100% | 197.1 MiB/s | 201.9 KiB |  00m00s
[ 27/215] Installing libuuid-0:2.40.2-8 100% | 194.0 MiB/s | 198.6 KiB |  00m00s
[ 28/215] Installing readline-0:8.2-11. 100% | 368.9 MiB/s | 755.5 KiB |  00m00s
[ 29/215] Installing libxcrypt-0:4.4.36 100% | 134.0 MiB/s | 274.5 KiB |  00m00s
[ 30/215] Installing popt-0:1.19-7.fc41 100% |  68.2 MiB/s | 279.5 KiB |  00m00s
[ 31/215] Installing libstdc++-0:14.2.1 100% | 307.0 MiB/s |   2.8 MiB |  00m00s
[ 32/215] Installing libblkid-0:2.40.2- 100% | 204.9 MiB/s | 419.7 KiB |  00m00s
[ 33/215] Installing libattr-0:2.5.2-4. 100% | 192.9 MiB/s | 197.5 KiB |  00m00s
[ 34/215] Installing libacl-0:2.3.2-2.f 100% | 192.3 MiB/s | 196.9 KiB |  00m00s
[ 35/215] Installing libzstd-0:1.5.6-2. 100% | 259.5 MiB/s | 797.3 KiB |  00m00s
[ 36/215] Installing elfutils-libelf-0: 100% | 297.4 MiB/s |   1.2 MiB |  00m00s
[ 37/215] Installing gmp-1:6.3.0-2.fc41 100% | 235.8 MiB/s | 724.2 KiB |  00m00s
[ 38/215] Installing libeconf-0:0.7.4-3 100% |  85.3 MiB/s |  87.3 KiB |  00m00s
[ 39/215] Installing gdbm-libs-1:1.23-7 100% | 417.7 MiB/s | 427.7 KiB |  00m00s
[ 40/215] Installing alternatives-0:1.3 100% | 214.7 MiB/s | 219.9 KiB |  00m00s
[ 41/215] Installing mpfr-0:4.2.1-5.fc4 100% | 200.3 MiB/s | 820.5 KiB |  00m00s
[ 42/215] Installing gawk-0:5.3.0-4.fc4 100% | 387.6 MiB/s |   4.3 MiB |  00m00s
[ 43/215] Installing dwz-0:0.15-8.fc42. 100% | 189.5 MiB/s | 388.2 KiB |  00m00s
[ 44/215] Installing unzip-0:6.0-64.fc4 100% | 237.7 MiB/s | 730.2 KiB |  00m00s
[ 45/215] Installing file-libs-0:5.45-7 100% | 589.6 MiB/s |  10.0 MiB |  00m00s
[ 46/215] Installing file-0:5.45-7.fc41 100% |  32.8 MiB/s | 269.0 KiB |  00m00s
[ 47/215] Installing crypto-policies-0: 100% |  17.7 MiB/s | 163.3 KiB |  00m00s
[ 48/215] Installing libcap-ng-0:0.8.5- 100% | 409.3 MiB/s | 419.1 KiB |  00m00s
[ 49/215] Installing audit-libs-0:4.0.2 100% | 268.3 MiB/s | 549.6 KiB |  00m00s
[ 50/215] Installing pam-libs-0:1.7.0-2 100% | 110.3 MiB/s | 225.9 KiB |  00m00s
[ 51/215] Installing libcap-0:2.71-1.fc 100% | 167.6 MiB/s | 514.8 KiB |  00m00s
[ 52/215] Installing systemd-libs-0:257 100% | 275.1 MiB/s |   2.5 MiB |  00m00s
[ 53/215] Installing libsmartcols-0:2.4 100% | 282.9 MiB/s | 289.7 KiB |  00m00s
[ 54/215] Installing libcom_err-0:1.47. 100% | 234.8 MiB/s | 240.4 KiB |  00m00s
[ 55/215] Installing libsepol-0:3.7-3.f 100% | 284.8 MiB/s | 874.9 KiB |  00m00s
[ 56/215] Installing pcre2-0:10.44-1.fc 100% | 295.2 MiB/s | 906.9 KiB |  00m00s
[ 57/215] Installing libselinux-0:3.7-6 100% | 260.1 MiB/s | 266.3 KiB |  00m00s
[ 58/215] Installing sed-0:4.9-3.fc41.a 100% | 164.3 MiB/s |   1.0 MiB |  00m00s
[ 59/215] Installing findutils-1:4.10.0 100% | 234.2 MiB/s |   2.1 MiB |  00m00s
[ 60/215] Installing grep-0:3.11-9.fc41 100% | 156.7 MiB/s |   1.1 MiB |  00m00s
[ 61/215] Installing xz-1:5.6.3-2.fc42. 100% | 167.8 MiB/s |   1.5 MiB |  00m00s
[ 62/215] Installing libmount-0:2.40.2- 100% | 236.8 MiB/s | 485.1 KiB |  00m00s
[ 63/215] Installing lz4-libs-0:1.10.0- 100% | 256.5 MiB/s | 262.7 KiB |  00m00s
[ 64/215] Installing libffi-0:3.4.6-3.f 100% | 277.2 MiB/s | 283.8 KiB |  00m00s
[ 65/215] Installing lua-libs-0:5.4.7-1 100% | 192.5 MiB/s | 394.3 KiB |  00m00s
[ 66/215] Installing libtasn1-0:4.19.0- 100% | 139.4 MiB/s | 285.6 KiB |  00m00s
[ 67/215] Installing p11-kit-0:0.25.5-4 100% | 203.5 MiB/s |   2.6 MiB |  00m00s
[ 68/215] Installing libunistring-0:1.1 100% | 301.5 MiB/s |   1.8 MiB |  00m00s
[ 69/215] Installing libidn2-0:2.3.7-2. 100% | 113.1 MiB/s | 463.1 KiB |  00m00s
[ 70/215] Installing libpsl-0:0.21.5-4. 100% | 193.1 MiB/s | 197.7 KiB |  00m00s
[ 71/215] Installing p11-kit-trust-0:0. 100% |  71.3 MiB/s | 657.4 KiB |  00m00s
[ 72/215] Installing openssl-libs-1:3.2 100% | 288.4 MiB/s |   7.2 MiB |  00m00s
[ 73/215] Installing coreutils-0:9.5-11 100% | 253.4 MiB/s |   8.1 MiB |  00m00s
[ 74/215] Installing ca-certificates-0: 100% |   1.4 MiB/s |   2.4 MiB |  00m02s
[ 75/215] Installing gzip-0:1.13-2.fc41 100% | 120.7 MiB/s | 494.4 KiB |  00m00s
[ 76/215] Installing authselect-libs-0: 100% | 115.6 MiB/s | 946.8 KiB |  00m00s
[ 77/215] Installing cracklib-0:2.9.11- 100% | 132.0 MiB/s | 946.3 KiB |  00m00s
[ 78/215] Installing libpwquality-0:1.4 100% | 138.5 MiB/s |   1.1 MiB |  00m00s
[ 79/215] Installing rpm-sequoia-0:1.7. 100% | 287.1 MiB/s |   2.3 MiB |  00m00s
[ 80/215] Installing libevent-0:2.1.12- 100% | 380.8 MiB/s |   1.5 MiB |  00m00s
[ 81/215] Installing zstd-0:1.5.6-2.fc4 100% | 281.8 MiB/s |   1.7 MiB |  00m00s
[ 82/215] Installing util-linux-core-0: 100% | 387.7 MiB/s |   6.2 MiB |  00m00s
[ 83/215] Installing tar-2:1.35-4.fc41. 100% | 255.6 MiB/s |   3.1 MiB |  00m00s
[ 84/215] Installing libsemanage-0:3.7- 100% | 118.3 MiB/s | 363.3 KiB |  00m00s
[ 85/215] Installing shadow-utils-2:4.1 100% | 181.2 MiB/s |   5.1 MiB |  00m00s
[ 86/215] Installing zip-0:3.0-41.fc41. 100% |  93.7 MiB/s |   1.1 MiB |  00m00s
[ 87/215] Installing groff-base-0:1.23. 100% | 173.3 MiB/s |   5.2 MiB |  00m00s
[ 88/215] Installing gdbm-1:1.23-7.fc41 100% | 182.3 MiB/s | 933.4 KiB |  00m00s
[ 89/215] Installing cyrus-sasl-lib-0:2 100% | 310.7 MiB/s |   3.1 MiB |  00m00s
[ 90/215] Installing libfdisk-0:2.40.2- 100% | 236.3 MiB/s | 483.9 KiB |  00m00s
[ 91/215] Installing bzip2-0:1.0.8-19.f 100% | 211.0 MiB/s | 432.2 KiB |  00m00s
[ 92/215] Installing libxml2-0:2.12.8-2 100% | 306.0 MiB/s |   2.1 MiB |  00m00s
[ 93/215] Installing libarchive-0:3.7.7 100% | 223.2 MiB/s | 914.1 KiB |  00m00s
[ 94/215] Installing add-determinism-0: 100% | 299.6 MiB/s |   2.1 MiB |  00m00s
[ 95/215] Installing build-reproducibil 100% |   0.0   B/s |   1.0 KiB |  00m00s
[ 96/215] Installing sqlite-libs-0:3.47 100% | 287.6 MiB/s |   1.4 MiB |  00m00s
[ 97/215] Installing rpm-libs-0:4.20.0- 100% | 260.2 MiB/s | 799.4 KiB |  00m00s
[ 98/215] Installing ed-0:1.20.2-2.fc41 100% | 278.5 MiB/s | 285.1 KiB |  00m00s
[ 99/215] Installing patch-0:2.7.6-25.f 100% | 191.5 MiB/s | 392.1 KiB |  00m00s
[100/215] Installing elfutils-default-y 100% | 340.5 KiB/s |   2.0 KiB |  00m00s
[101/215] Installing elfutils-libs-0:0. 100% | 183.1 MiB/s | 750.0 KiB |  00m00s
[102/215] Installing cpio-0:2.15-2.fc41 100% | 174.4 MiB/s |   1.2 MiB |  00m00s
[103/215] Installing diffutils-0:3.10-8 100% | 234.4 MiB/s |   2.1 MiB |  00m00s
[104/215] Installing libpkgconf-0:2.3.0 100% | 194.6 MiB/s | 199.2 KiB |  00m00s
[105/215] Installing pkgconf-0:2.3.0-1. 100% | 237.4 MiB/s | 243.1 KiB |  00m00s
[106/215] Installing keyutils-libs-0:1. 100% | 222.5 MiB/s | 227.9 KiB |  00m00s
[107/215] Installing libverto-0:0.3.2-9 100% | 194.7 MiB/s | 199.3 KiB |  00m00s
[108/215] Installing krb5-libs-0:1.21.3 100% | 236.3 MiB/s |   2.6 MiB |  00m00s
[109/215] Installing libtirpc-0:1.3.6-1 100% | 104.8 MiB/s | 214.7 KiB |  00m00s
[110/215] Installing libnsl2-0:2.0.1-2. 100% | 109.0 MiB/s | 223.2 KiB |  00m00s
[111/215] Installing pam-0:1.7.0-2.fc42 100% | 187.4 MiB/s |   4.3 MiB |  00m00s
[112/215] Installing libssh-0:0.11.1-1. 100% | 212.1 MiB/s | 651.7 KiB |  00m00s
[113/215] Installing jansson-0:2.14-1.f 100% | 108.7 MiB/s | 222.6 KiB |  00m00s
[114/215] Installing libgomp-0:14.2.1-6 100% | 246.4 MiB/s | 504.6 KiB |  00m00s
[115/215] Installing rpm-build-libs-0:4 100% | 257.4 MiB/s | 263.6 KiB |  00m00s
[116/215] Installing json-c-0:0.18-1.fc 100% | 137.2 MiB/s | 140.5 KiB |  00m00s
[117/215] Installing ncurses-0:6.5-2.20 100% | 337.8 MiB/s |   1.7 MiB |  00m00s
[118/215] Installing perl-Digest-0:1.20 100% |  36.2 MiB/s |  37.1 KiB |  00m00s
[119/215] Installing perl-B-0:1.89-512. 100% | 198.4 MiB/s | 609.4 KiB |  00m00s
[120/215] Installing perl-FileHandle-0: 100% |   0.0   B/s |   9.8 KiB |  00m00s
[121/215] Installing perl-Digest-MD5-0: 100% | 228.3 MiB/s | 233.8 KiB |  00m00s
[122/215] Installing perl-MIME-Base32-0 100% |  31.4 MiB/s |  32.2 KiB |  00m00s
[123/215] Installing perl-Data-Dumper-0 100% | 259.4 MiB/s | 265.7 KiB |  00m00s
[124/215] Installing perl-libnet-0:3.15 100% | 143.9 MiB/s | 294.7 KiB |  00m00s
[125/215] Installing perl-AutoLoader-0: 100% |   0.0   B/s |  20.9 KiB |  00m00s
[126/215] Installing perl-IO-Socket-IP- 100% |  98.1 MiB/s | 100.5 KiB |  00m00s
[127/215] Installing perl-URI-0:5.31-1. 100% |  65.8 MiB/s | 269.6 KiB |  00m00s
[128/215] Installing perl-Time-Local-2: 100% |  68.9 MiB/s |  70.6 KiB |  00m00s
[129/215] Installing perl-File-Path-0:2 100% |  63.0 MiB/s |  64.5 KiB |  00m00s
[130/215] Installing perl-Pod-Escapes-1 100% |   0.0   B/s |  25.9 KiB |  00m00s
[131/215] Installing perl-Text-Tabs+Wra 100% |  23.3 MiB/s |  23.9 KiB |  00m00s
[132/215] Installing perl-if-0:0.61.000 100% |   0.0   B/s |   6.2 KiB |  00m00s
[133/215] Installing perl-locale-0:1.12 100% |   6.7 MiB/s |   6.9 KiB |  00m00s
[134/215] Installing perl-Net-SSLeay-0: 100% | 179.1 MiB/s |   1.4 MiB |  00m00s
[135/215] Installing perl-IO-Socket-SSL 100% | 230.3 MiB/s | 707.4 KiB |  00m00s
[136/215] Installing perl-Class-Struct- 100% |  25.3 MiB/s |  25.9 KiB |  00m00s
[137/215] Installing perl-Term-ANSIColo 100% |  96.9 MiB/s |  99.2 KiB |  00m00s
[138/215] Installing perl-Term-Cap-0:1. 100% |  29.9 MiB/s |  30.6 KiB |  00m00s
[139/215] Installing perl-File-Temp-1:0 100% | 160.2 MiB/s | 164.1 KiB |  00m00s
[140/215] Installing perl-IPC-Open3-0:1 100% |   0.0   B/s |  23.3 KiB |  00m00s
[141/215] Installing perl-POSIX-0:2.20- 100% | 320.8 MiB/s | 328.5 KiB |  00m00s
[142/215] Installing perl-HTTP-Tiny-0:0 100% |  76.4 MiB/s | 156.4 KiB |  00m00s
[143/215] Installing perl-Pod-Simple-1: 100% | 139.3 MiB/s | 570.5 KiB |  00m00s
[144/215] Installing perl-Socket-4:2.03 100% | 267.7 MiB/s | 274.1 KiB |  00m00s
[145/215] Installing perl-SelectSaver-0 100% |   0.0   B/s |   2.6 KiB |  00m00s
[146/215] Installing perl-Symbol-0:1.09 100% |   0.0   B/s |   7.2 KiB |  00m00s
[147/215] Installing perl-File-stat-0:1 100% |  12.7 MiB/s |  13.1 KiB |  00m00s
[148/215] Installing perl-podlators-1:6 100% | 157.0 MiB/s | 321.4 KiB |  00m00s
[149/215] Installing perl-Pod-Perldoc-0 100% |  82.6 MiB/s | 169.3 KiB |  00m00s
[150/215] Installing perl-mro-0:1.29-51 100% | 205.9 MiB/s | 210.8 KiB |  00m00s
[151/215] Installing perl-overloading-0 100% |   0.0   B/s |   5.5 KiB |  00m00s
[152/215] Installing perl-Fcntl-0:1.18- 100% | 217.0 MiB/s | 222.2 KiB |  00m00s
[153/215] Installing perl-Text-ParseWor 100% |   0.0   B/s |  14.6 KiB |  00m00s
[154/215] Installing perl-base-0:2.27-5 100% |  12.6 MiB/s |  12.9 KiB |  00m00s
[155/215] Installing perl-IO-0:1.55-512 100% | 157.9 MiB/s | 323.4 KiB |  00m00s
[156/215] Installing perl-Pod-Usage-4:2 100% |  84.3 MiB/s |  86.3 KiB |  00m00s
[157/215] Installing perl-Errno-0:1.38- 100% |   0.0   B/s |   8.8 KiB |  00m00s
[158/215] Installing perl-Scalar-List-U 100% | 139.0 MiB/s | 284.7 KiB |  00m00s
[159/215] Installing perl-constant-0:1. 100% |  26.7 MiB/s |  27.4 KiB |  00m00s
[160/215] Installing perl-File-Basename 100% |   0.0   B/s |  14.6 KiB |  00m00s
[161/215] Installing perl-Getopt-Std-0: 100% |   0.0   B/s |  11.7 KiB |  00m00s
[162/215] Installing perl-MIME-Base64-0 100% | 109.6 MiB/s | 224.4 KiB |  00m00s
[163/215] Installing perl-parent-1:0.24 100% |   0.0   B/s |  10.7 KiB |  00m00s
[164/215] Installing perl-vars-0:1.05-5 100% |   0.0   B/s |   4.3 KiB |  00m00s
[165/215] Installing perl-overload-0:1. 100% |   0.0   B/s |  71.9 KiB |  00m00s
[166/215] Installing perl-Storable-1:3. 100% | 182.6 MiB/s | 374.1 KiB |  00m00s
[167/215] Installing perl-Getopt-Long-1 100% | 143.8 MiB/s | 147.2 KiB |  00m00s
[168/215] Installing perl-Carp-0:1.54-5 100% |  46.6 MiB/s |  47.7 KiB |  00m00s
[169/215] Installing perl-Exporter-0:5. 100% |  54.3 MiB/s |  55.6 KiB |  00m00s
[170/215] Installing perl-PathTools-0:3 100% | 174.1 MiB/s | 356.6 KiB |  00m00s
[171/215] Installing perl-DynaLoader-0: 100% |  31.7 MiB/s |  32.5 KiB |  00m00s
[172/215] Installing perl-Encode-4:3.21 100% | 328.1 MiB/s |   5.9 MiB |  00m00s
[173/215] Installing perl-libs-4:5.40.0 100% | 206.8 MiB/s |  11.0 MiB |  00m00s
[174/215] Installing perl-interpreter-4 100% | 296.9 MiB/s | 304.0 KiB |  00m00s
[175/215] Installing xxhash-libs-0:0.8. 100% | 208.7 MiB/s | 213.7 KiB |  00m00s
[176/215] Installing libbrotli-0:1.1.0- 100% | 285.2 MiB/s |   1.1 MiB |  00m00s
[177/215] Installing libnghttp2-0:1.64. 100% | 257.1 MiB/s | 263.3 KiB |  00m00s
[178/215] Installing libtool-ltdl-0:2.4 100% | 218.1 MiB/s | 223.4 KiB |  00m00s
[179/215] Installing openldap-0:2.6.8-5 100% | 233.4 MiB/s | 956.1 KiB |  00m00s
[180/215] Installing libcurl-0:8.10.1-2 100% | 279.8 MiB/s | 859.5 KiB |  00m00s
[181/215] Installing elfutils-debuginfo 100% |  71.6 MiB/s | 146.6 KiB |  00m00s
[182/215] Installing binutils-0:2.43.50 100% | 323.0 MiB/s |  32.0 MiB |  00m00s
[183/215] Installing elfutils-0:0.192-6 100% | 262.3 MiB/s |   3.1 MiB |  00m00s
[184/215] Installing gdb-minimal-0:15.2 100% | 329.0 MiB/s |  13.2 MiB |  00m00s
[185/215] Installing debugedit-0:5.1-1. 100% |  40.2 MiB/s | 247.0 KiB |  00m00s
[186/215] Installing curl-0:8.10.1-2.fc 100% |  47.5 MiB/s | 583.8 KiB |  00m00s
[187/215] Installing rpm-0:4.20.0-1.fc4 100% | 139.9 MiB/s |   3.4 MiB |  00m00s
[188/215] Installing efi-srpm-macros-0: 100% |  40.2 MiB/s |  41.2 KiB |  00m00s
[189/215] Installing lua-srpm-macros-0: 100% |   0.0   B/s |   1.9 KiB |  00m00s
[190/215] Installing zig-srpm-macros-0: 100% |   0.0   B/s |   1.7 KiB |  00m00s
[191/215] Installing pkgconf-m4-0:2.3.0 100% |   0.0   B/s |  14.8 KiB |  00m00s
[192/215] Installing pkgconf-pkg-config 100% |   0.0   B/s |   1.8 KiB |  00m00s
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[194/215] Installing qt6-srpm-macros-0: 100% | 714.8 KiB/s | 732.0   B |  00m00s
[195/215] Installing qt5-srpm-macros-0: 100% |   0.0   B/s | 776.0   B |  00m00s
[196/215] Installing perl-srpm-macros-0 100% |   0.0   B/s |   1.1 KiB |  00m00s
[197/215] Installing package-notes-srpm 100% |   0.0   B/s |   2.0 KiB |  00m00s
[198/215] Installing openblas-srpm-macr 100% |   0.0   B/s | 392.0   B |  00m00s
[199/215] Installing ocaml-srpm-macros- 100% |   0.0   B/s |   2.2 KiB |  00m00s
[200/215] Installing kernel-srpm-macros 100% |   0.0   B/s |   2.3 KiB |  00m00s
[201/215] Installing gnat-srpm-macros-0 100% |   0.0   B/s |   1.3 KiB |  00m00s
[202/215] Installing ghc-srpm-macros-0: 100% |   0.0   B/s |   1.0 KiB |  00m00s
[203/215] Installing fpc-srpm-macros-0: 100% |   0.0   B/s | 420.0   B |  00m00s
[204/215] Installing ansible-srpm-macro 100% |   0.0   B/s |  36.2 KiB |  00m00s
[205/215] Installing fonts-srpm-macros- 100% |  55.7 MiB/s |  57.0 KiB |  00m00s
[206/215] Installing forge-srpm-macros- 100% |  39.3 MiB/s |  40.3 KiB |  00m00s
[207/215] Installing go-srpm-macros-0:3 100% |  60.5 MiB/s |  62.0 KiB |  00m00s
[208/215] Installing python-srpm-macros 100% |  50.9 MiB/s |  52.2 KiB |  00m00s
[209/215] Installing redhat-rpm-config- 100% |  94.4 MiB/s | 193.2 KiB |  00m00s
[210/215] Installing rpm-build-0:4.20.0 100% | 349.3 MiB/s |   1.4 MiB |  00m00s
[211/215] Installing pyproject-srpm-mac 100% |   2.4 MiB/s |   2.5 KiB |  00m00s
[212/215] Installing util-linux-0:2.40. 100% | 353.2 MiB/s |  17.0 MiB |  00m00s
[213/215] Installing authselect-0:1.5.0 100% | 102.2 MiB/s | 313.9 KiB |  00m00s
[214/215] Installing which-0:2.21-42.fc 100% | 244.5 MiB/s | 250.4 KiB |  00m00s
[215/215] Installing info-0:7.1.1-2.fc4 100% | 280.6 KiB/s | 614.0 KiB |  00m02s
Warning: skipped PGP checks for 213 packages from repository: http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch
Complete!
Finish: installing minimal buildroot with dnf5
Start: creating root cache
Finish: creating root cache
Finish: chroot init
INFO: Installed packages:
INFO: add-determinism-0.4.3-1.fc42.aarch64
alternatives-1.30-1.fc41.aarch64
ansible-srpm-macros-1-16.fc41.noarch
audit-libs-4.0.2-1.fc41.aarch64
authselect-1.5.0-8.fc42.aarch64
authselect-libs-1.5.0-8.fc42.aarch64
basesystem-11-21.fc41.noarch
bash-5.2.37-1.fc42.aarch64
binutils-2.43.50-7.fc42.aarch64
build-reproducibility-srpm-macros-0.4.3-1.fc42.noarch
bzip2-1.0.8-19.fc41.aarch64
bzip2-libs-1.0.8-19.fc41.aarch64
ca-certificates-2024.2.69_v8.0.401-2.fc42.noarch
coreutils-9.5-11.fc42.aarch64
coreutils-common-9.5-11.fc42.aarch64
cpio-2.15-2.fc41.aarch64
cracklib-2.9.11-6.fc41.aarch64
crypto-policies-20241106-1.git35892de.fc42.noarch
curl-8.10.1-2.fc42.aarch64
cyrus-sasl-lib-2.1.28-27.fc41.aarch64
debugedit-5.1-1.fc42.aarch64
diffutils-3.10-8.fc41.aarch64
dwz-0.15-8.fc42.aarch64
ed-1.20.2-2.fc41.aarch64
efi-srpm-macros-5-12.fc41.noarch
elfutils-0.192-6.fc42.aarch64
elfutils-debuginfod-client-0.192-6.fc42.aarch64
elfutils-default-yama-scope-0.192-6.fc42.noarch
elfutils-libelf-0.192-6.fc42.aarch64
elfutils-libs-0.192-6.fc42.aarch64
fedora-gpg-keys-42-0.3.noarch
fedora-release-42-0.8.noarch
fedora-release-common-42-0.8.noarch
fedora-release-identity-basic-42-0.8.noarch
fedora-repos-42-0.3.noarch
fedora-repos-rawhide-42-0.3.noarch
file-5.45-7.fc41.aarch64
file-libs-5.45-7.fc41.aarch64
filesystem-3.18-29.fc42.aarch64
findutils-4.10.0-4.fc41.aarch64
fonts-srpm-macros-2.0.5-17.fc41.noarch
forge-srpm-macros-0.4.0-1.fc42.noarch
fpc-srpm-macros-1.3-13.fc41.noarch
gawk-5.3.0-4.fc41.aarch64
gdb-minimal-15.2-3.fc42.aarch64
gdbm-1.23-7.fc41.aarch64
gdbm-libs-1.23-7.fc41.aarch64
ghc-srpm-macros-1.9.2-1.fc42.noarch
glibc-2.40.9000-18.fc42.aarch64
glibc-common-2.40.9000-18.fc42.aarch64
glibc-gconv-extra-2.40.9000-18.fc42.aarch64
glibc-minimal-langpack-2.40.9000-18.fc42.aarch64
gmp-6.3.0-2.fc41.aarch64
gnat-srpm-macros-6-6.fc41.noarch
go-srpm-macros-3.6.0-3.fc41.noarch
grep-3.11-9.fc41.aarch64
groff-base-1.23.0-7.fc41.aarch64
gzip-1.13-2.fc41.aarch64
info-7.1.1-2.fc42.aarch64
jansson-2.14-1.fc42.aarch64
json-c-0.18-1.fc42.aarch64
kernel-srpm-macros-1.0-24.fc41.noarch
keyutils-libs-1.6.3-4.fc41.aarch64
krb5-libs-1.21.3-3.fc42.aarch64
libacl-2.3.2-2.fc41.aarch64
libarchive-3.7.7-1.fc42.aarch64
libattr-2.5.2-4.fc41.aarch64
libblkid-2.40.2-8.fc42.aarch64
libbrotli-1.1.0-5.fc41.aarch64
libcap-2.71-1.fc42.aarch64
libcap-ng-0.8.5-3.fc41.aarch64
libcom_err-1.47.1-6.fc42.aarch64
libcurl-8.10.1-2.fc42.aarch64
libeconf-0.7.4-3.fc42.aarch64
libevent-2.1.12-14.fc41.aarch64
libfdisk-2.40.2-8.fc42.aarch64
libffi-3.4.6-3.fc42.aarch64
libgcc-14.2.1-6.fc42.aarch64
libgomp-14.2.1-6.fc42.aarch64
libidn2-2.3.7-2.fc41.aarch64
libmount-2.40.2-8.fc42.aarch64
libnghttp2-1.64.0-1.fc42.aarch64
libnsl2-2.0.1-2.fc41.aarch64
libpkgconf-2.3.0-1.fc42.aarch64
libpsl-0.21.5-4.fc41.aarch64
libpwquality-1.4.5-11.fc41.aarch64
libselinux-3.7-6.fc42.aarch64
libsemanage-3.7-3.fc42.aarch64
libsepol-3.7-3.fc42.aarch64
libsmartcols-2.40.2-8.fc42.aarch64
libssh-0.11.1-1.fc42.aarch64
libssh-config-0.11.1-1.fc42.noarch
libstdc++-14.2.1-6.fc42.aarch64
libtasn1-4.19.0-9.fc41.aarch64
libtirpc-1.3.6-1.fc42.aarch64
libtool-ltdl-2.4.7-12.fc41.aarch64
libunistring-1.1-8.fc41.aarch64
libuuid-2.40.2-8.fc42.aarch64
libverto-0.3.2-9.fc41.aarch64
libxcrypt-4.4.36-10.fc42.aarch64
libxml2-2.12.8-2.fc41.aarch64
libzstd-1.5.6-2.fc41.aarch64
lua-libs-5.4.7-1.fc42.aarch64
lua-srpm-macros-1-14.fc41.noarch
lz4-libs-1.10.0-1.fc41.aarch64
mpfr-4.2.1-5.fc41.aarch64
ncurses-6.5-2.20240629.fc41.aarch64
ncurses-base-6.5-2.20240629.fc41.noarch
ncurses-libs-6.5-2.20240629.fc41.aarch64
ocaml-srpm-macros-10-3.fc41.noarch
openblas-srpm-macros-2-18.fc41.noarch
openldap-2.6.8-5.fc41.aarch64
openssl-libs-3.2.2-8.fc42.aarch64
p11-kit-0.25.5-4.fc42.aarch64
p11-kit-trust-0.25.5-4.fc42.aarch64
package-notes-srpm-macros-0.5-12.fc41.noarch
pam-1.7.0-2.fc42.aarch64
pam-libs-1.7.0-2.fc42.aarch64
patch-2.7.6-25.fc41.aarch64
pcre2-10.44-1.fc41.1.aarch64
pcre2-syntax-10.44-1.fc41.1.noarch
perl-AutoLoader-5.74-512.fc42.noarch
perl-B-1.89-512.fc42.aarch64
perl-Carp-1.54-511.fc41.noarch
perl-Class-Struct-0.68-512.fc42.noarch
perl-Data-Dumper-2.189-512.fc41.aarch64
perl-Digest-1.20-511.fc41.noarch
perl-Digest-MD5-2.59-5.fc41.aarch64
perl-DynaLoader-1.56-512.fc42.aarch64
perl-Encode-3.21-511.fc41.aarch64
perl-Errno-1.38-512.fc42.aarch64
perl-Exporter-5.78-511.fc41.noarch
perl-Fcntl-1.18-512.fc42.aarch64
perl-File-Basename-2.86-512.fc42.noarch
perl-File-Path-2.18-511.fc41.noarch
perl-File-Temp-0.231.100-511.fc41.noarch
perl-File-stat-1.14-512.fc42.noarch
perl-FileHandle-2.05-512.fc42.noarch
perl-Getopt-Long-2.58-2.fc41.noarch
perl-Getopt-Std-1.14-512.fc42.noarch
perl-HTTP-Tiny-0.090-1.fc42.noarch
perl-IO-1.55-512.fc42.aarch64
perl-IO-Socket-IP-0.42-512.fc41.noarch
perl-IO-Socket-SSL-2.089-1.fc42.noarch
perl-IPC-Open3-1.22-512.fc42.noarch
perl-MIME-Base32-1.303-21.fc41.noarch
perl-MIME-Base64-3.16-511.fc41.aarch64
perl-Net-SSLeay-1.94-7.fc41.aarch64
perl-POSIX-2.20-512.fc42.aarch64
perl-PathTools-3.91-511.fc41.aarch64
perl-Pod-Escapes-1.07-511.fc41.noarch
perl-Pod-Perldoc-3.28.01-512.fc41.noarch
perl-Pod-Simple-3.45-511.fc41.noarch
perl-Pod-Usage-2.03-511.fc41.noarch
perl-Scalar-List-Utils-1.68-1.fc42.aarch64
perl-SelectSaver-1.02-512.fc42.noarch
perl-Socket-2.038-511.fc41.aarch64
perl-Storable-3.32-511.fc41.aarch64
perl-Symbol-1.09-512.fc42.noarch
perl-Term-ANSIColor-5.01-512.fc41.noarch
perl-Term-Cap-1.18-511.fc41.noarch
perl-Text-ParseWords-3.31-511.fc41.noarch
perl-Text-Tabs+Wrap-2024.001-511.fc41.noarch
perl-Time-Local-1.350-511.fc41.noarch
perl-URI-5.31-1.fc42.noarch
perl-base-2.27-512.fc42.noarch
perl-constant-1.33-512.fc41.noarch
perl-if-0.61.000-512.fc42.noarch
perl-interpreter-5.40.0-512.fc42.aarch64
perl-libnet-3.15-512.fc41.noarch
perl-libs-5.40.0-512.fc42.aarch64
perl-locale-1.12-512.fc42.noarch
perl-mro-1.29-512.fc42.aarch64
perl-overload-1.37-512.fc42.noarch
perl-overloading-0.02-512.fc42.noarch
perl-parent-0.242-1.fc42.noarch
perl-podlators-6.0.2-2.fc41.noarch
perl-srpm-macros-1-56.fc41.noarch
perl-vars-1.05-512.fc42.noarch
pkgconf-2.3.0-1.fc42.aarch64
pkgconf-m4-2.3.0-1.fc42.noarch
pkgconf-pkg-config-2.3.0-1.fc42.aarch64
popt-1.19-7.fc41.aarch64
publicsuffix-list-dafsa-20240107-4.fc41.noarch
pyproject-srpm-macros-1.16.2-1.fc42.noarch
python-srpm-macros-3.13-3.fc41.noarch
qt5-srpm-macros-5.15.15-1.fc42.noarch
qt6-srpm-macros-6.8.0-1.fc42.noarch
readline-8.2-11.fc42.aarch64
redhat-rpm-config-296-1.fc42.noarch
rpm-4.20.0-1.fc42.aarch64
rpm-build-4.20.0-1.fc42.aarch64
rpm-build-libs-4.20.0-1.fc42.aarch64
rpm-libs-4.20.0-1.fc42.aarch64
rpm-sequoia-1.7.0-2.fc41.aarch64
rust-srpm-macros-26.3-3.fc42.noarch
sed-4.9-3.fc41.aarch64
setup-2.15.0-5.fc41.noarch
shadow-utils-4.16.0-7.fc42.aarch64
sqlite-libs-3.47.0-1.fc42.aarch64
systemd-libs-257~rc1-2.fc42.aarch64
tar-1.35-4.fc41.aarch64
unzip-6.0-64.fc41.aarch64
util-linux-2.40.2-8.fc42.aarch64
util-linux-core-2.40.2-8.fc42.aarch64
which-2.21-42.fc41.aarch64
xxhash-libs-0.8.2-4.fc42.aarch64
xz-5.6.3-2.fc42.aarch64
xz-libs-5.6.3-2.fc42.aarch64
zig-srpm-macros-1-3.fc41.noarch
zip-3.0-41.fc41.aarch64
zlib-ng-compat-2.2.2-1.fc42.aarch64
zstd-1.5.6-2.fc41.aarch64
Start: buildsrpm
Start: rpmbuild -bs
Building target platforms: aarch64
Building for target aarch64
setting SOURCE_DATE_EPOCH=1731715200
Wrote: /builddir/build/SRPMS/python-scikit-learn-1.5.2-2.fc42.src.rpm
Finish: rpmbuild -bs
INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan
INFO: /var/lib/mock/fedora-rawhide-aarch64-1731780487.781730/root/var/log/dnf5.log
INFO: chroot_scan: creating tarball /var/lib/copr-rpmbuild/results/chroot_scan.tar.gz
/bin/tar: Removing leading `/' from member names
Finish: buildsrpm
INFO: Done(/var/lib/copr-rpmbuild/workspace/workdir-ncothm9z/python-scikit-learn/python-scikit-learn.spec) Config(child) 0 minutes 25 seconds
INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results
INFO: Cleaning up build root ('cleanup_on_success=True')
Start: clean chroot
INFO: unmounting tmpfs.
Finish: clean chroot
INFO: Start(/var/lib/copr-rpmbuild/results/python-scikit-learn-1.5.2-2.fc42.src.rpm)  Config(fedora-rawhide-aarch64)
Start(bootstrap): chroot init
INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-aarch64-bootstrap-1731780487.781730/root.
INFO: reusing tmpfs at /var/lib/mock/fedora-rawhide-aarch64-bootstrap-1731780487.781730/root.
INFO: calling preinit hooks
INFO: enabled root cache
INFO: enabled package manager cache
Start(bootstrap): cleaning package manager metadata
Finish(bootstrap): cleaning package manager metadata
Finish(bootstrap): chroot init
Start: chroot init
INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-aarch64-1731780487.781730/root.
INFO: calling preinit hooks
INFO: enabled root cache
Start: unpacking root cache
Finish: unpacking root cache
INFO: enabled package manager cache
Start: cleaning package manager metadata
Finish: cleaning package manager metadata
INFO: enabled HW Info plugin
INFO: Buildroot is handled by package management downloaded with a bootstrap image:
  rpm-4.20.0-1.fc42.aarch64
  rpm-sequoia-1.7.0-2.fc41.aarch64
  dnf5-5.2.7.0-1.fc42.aarch64
  dnf5-plugins-5.2.7.0-1.fc42.aarch64
Finish: chroot init
Start: build phase for python-scikit-learn-1.5.2-2.fc42.src.rpm
Start: build setup for python-scikit-learn-1.5.2-2.fc42.src.rpm
Building target platforms: aarch64
Building for target aarch64
setting SOURCE_DATE_EPOCH=1731715200
Wrote: /builddir/build/SRPMS/python-scikit-learn-1.5.2-2.fc42.src.rpm
Updating and loading repositories:
 fedora                                 100% | 233.4 KiB/s |  11.2 KiB |  00m00s
 Copr repository                        100% | 143.6 KiB/s |   2.2 KiB |  00m00s
 Additional repo http_kojipkgs_fedorapr 100% | 191.5 KiB/s |   3.8 KiB |  00m00s
Repositories loaded.
Package                 Arch    Version              Repository                                                         Size
Installing:
 gcc                    aarch64 14.2.1-6.fc42        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  96.6 MiB
 gcc-c++                aarch64 14.2.1-6.fc42        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  36.8 MiB
 python3-devel          aarch64 3.13.0-1.fc42        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.8 MiB
 python3-joblib         noarch  1.4.2-3.fc41         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.2 MiB
 python3-pytest         noarch  8.3.3-3.fc42         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  20.8 MiB
 python3-setuptools     noarch  74.1.3-4.fc42        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   8.4 MiB
 python3-threadpoolctl  noarch  3.5.0-4.fc41         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 136.8 KiB
Installing dependencies:
 annobin-docs           noarch  12.75-1.fc42         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  98.2 KiB
 annobin-plugin-gcc     aarch64 12.75-1.fc42         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.0 MiB
 cpp                    aarch64 14.2.1-6.fc42        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  33.7 MiB
 expat                  aarch64 2.6.4-1.fc42         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 349.3 KiB
 gcc-plugin-annobin     aarch64 14.2.1-6.fc42        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  73.5 KiB
 glibc-devel            aarch64 2.40.9000-18.fc42    http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.2 MiB
 kernel-headers         aarch64 6.12.0-0.rc7.58.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   6.3 MiB
 libasan                aarch64 14.2.1-6.fc42        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.5 MiB
 libatomic              aarch64 14.2.1-6.fc42        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  69.0 KiB
 libb2                  aarch64 0.98.1-12.fc41       http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 202.2 KiB
 libmpc                 aarch64 1.3.1-6.fc41         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 280.8 KiB
 libstdc++-devel        aarch64 14.2.1-6.fc42        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  15.1 MiB
 libubsan               aarch64 14.2.1-6.fc42        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 475.2 KiB
 libxcrypt-devel        aarch64 4.4.36-10.fc42       http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  30.5 KiB
 make                   aarch64 1:4.4.1-9.fc42       http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.8 MiB
 mpdecimal              aarch64 2.5.1-16.fc41        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 328.9 KiB
 pyproject-rpm-macros   noarch  1.16.2-1.fc42        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 113.8 KiB
 python-pip-wheel       noarch  24.3.1-1.fc42        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.2 MiB
 python-rpm-macros      noarch  3.13-3.fc41          http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  22.1 KiB
 python3                aarch64 3.13.0-1.fc42        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 211.8 KiB
 python3-cloudpickle    noarch  3.1.0-1.fc42         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 127.8 KiB
 python3-iniconfig      noarch  1.1.1-23.fc41        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  20.6 KiB
 python3-libs           aarch64 3.13.0-1.fc42        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  49.7 MiB
 python3-packaging      noarch  24.2-2.fc42          http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 555.7 KiB
 python3-pluggy         noarch  1.5.0-1.fc41         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 193.2 KiB
 python3-rpm-generators noarch  14-11.fc41           http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  81.7 KiB
 python3-rpm-macros     noarch  3.13-3.fc41          http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   6.4 KiB
 tzdata                 noarch  2024a-9.fc41         http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.7 MiB

Transaction Summary:
 Installing:        35 packages

Total size of inbound packages is 80 MiB. Need to download 80 MiB.
After this operation, 284 MiB extra will be used (install 284 MiB, remove 0 B).
[ 1/35] python3-devel-0:3.13.0-1.fc42.a 100% |   3.7 MiB/s | 357.0 KiB |  00m00s
[ 2/35] python3-joblib-0:1.4.2-3.fc41.n 100% |  19.9 MiB/s | 529.1 KiB |  00m00s
[ 3/35] python3-setuptools-0:74.1.3-4.f 100% |  39.5 MiB/s |   1.8 MiB |  00m00s
[ 4/35] python3-threadpoolctl-0:3.5.0-4 100% |   7.2 MiB/s |  44.4 KiB |  00m00s
[ 5/35] python3-pytest-0:8.3.3-3.fc42.n 100% |  61.0 MiB/s |   2.0 MiB |  00m00s
[ 6/35] python3-0:3.13.0-1.fc42.aarch64 100% |   2.7 MiB/s |  28.0 KiB |  00m00s
[ 7/35] gcc-0:14.2.1-6.fc42.aarch64     100% | 130.8 MiB/s |  33.7 MiB |  00m00s
[ 8/35] gcc-c++-0:14.2.1-6.fc42.aarch64 100% |  47.0 MiB/s |  12.9 MiB |  00m00s
[ 9/35] python3-iniconfig-0:1.1.1-23.fc 100% | 334.7 KiB/s |  18.1 KiB |  00m00s
[10/35] python3-packaging-0:24.2-2.fc42 100% |   8.8 MiB/s | 143.6 KiB |  00m00s
[11/35] python3-cloudpickle-0:3.1.0-1.f 100% |  11.5 MiB/s |  47.2 KiB |  00m00s
[12/35] python3-pluggy-0:1.5.0-1.fc41.n 100% |   7.4 MiB/s |  53.1 KiB |  00m00s
[13/35] libmpc-0:1.3.1-6.fc41.aarch64   100% |  17.7 MiB/s |  72.7 KiB |  00m00s
[14/35] libstdc++-devel-0:14.2.1-6.fc42 100% | 108.9 MiB/s |   2.6 MiB |  00m00s
[15/35] glibc-devel-0:2.40.9000-18.fc42 100% |  27.3 MiB/s | 558.4 KiB |  00m00s
[16/35] cpp-0:14.2.1-6.fc42.aarch64     100% | 194.6 MiB/s |  10.7 MiB |  00m00s
[17/35] python3-libs-0:3.13.0-1.fc42.aa 100% | 117.2 MiB/s |   8.7 MiB |  00m00s
[18/35] libasan-0:14.2.1-6.fc42.aarch64 100% |  21.1 MiB/s | 498.1 KiB |  00m00s
[19/35] libatomic-0:14.2.1-6.fc42.aarch 100% |   3.7 MiB/s |  45.8 KiB |  00m00s
[20/35] libubsan-0:14.2.1-6.fc42.aarch6 100% |  30.7 MiB/s | 220.1 KiB |  00m00s
[21/35] make-1:4.4.1-9.fc42.aarch64     100% |  70.5 MiB/s | 577.6 KiB |  00m00s
[22/35] expat-0:2.6.4-1.fc42.aarch64    100% |  18.2 MiB/s | 111.5 KiB |  00m00s
[23/35] libb2-0:0.98.1-12.fc41.aarch64  100% |   4.9 MiB/s |  24.9 KiB |  00m00s
[24/35] mpdecimal-0:2.5.1-16.fc41.aarch 100% |  21.7 MiB/s |  89.1 KiB |  00m00s
[25/35] python-pip-wheel-0:24.3.1-1.fc4 100% | 109.5 MiB/s |   1.2 MiB |  00m00s
[26/35] tzdata-0:2024a-9.fc41.noarch    100% |  42.0 MiB/s | 430.6 KiB |  00m00s
[27/35] kernel-headers-0:6.12.0-0.rc7.5 100% | 132.0 MiB/s |   1.5 MiB |  00m00s
[28/35] libxcrypt-devel-0:4.4.36-10.fc4 100% |   5.6 MiB/s |  28.9 KiB |  00m00s
[29/35] pyproject-rpm-macros-0:1.16.2-1 100% |   7.3 MiB/s |  44.7 KiB |  00m00s
[30/35] python-rpm-macros-0:3.13-3.fc41 100% |   2.9 MiB/s |  17.7 KiB |  00m00s
[31/35] python3-rpm-generators-0:14-11. 100% |   4.1 MiB/s |  29.3 KiB |  00m00s
[32/35] python3-rpm-macros-0:3.13-3.fc4 100% |   2.4 MiB/s |  12.4 KiB |  00m00s
[33/35] annobin-docs-0:12.75-1.fc42.noa 100% |  17.9 MiB/s |  91.7 KiB |  00m00s
[34/35] gcc-plugin-annobin-0:14.2.1-6.f 100% |   9.3 MiB/s |  57.3 KiB |  00m00s
[35/35] annobin-plugin-gcc-0:12.75-1.fc 100% |  79.4 MiB/s | 975.9 KiB |  00m00s
--------------------------------------------------------------------------------
[35/35] Total                           100% | 201.2 MiB/s |  80.1 MiB |  00m00s
Running transaction
[ 1/37] Verify package files            100% | 126.0   B/s |  35.0   B |  00m00s
[ 2/37] Prepare transaction             100% | 546.0   B/s |  35.0   B |  00m00s
[ 3/37] Installing python-rpm-macros-0: 100% |  22.3 MiB/s |  22.8 KiB |  00m00s
[ 4/37] Installing libmpc-0:1.3.1-6.fc4 100% | 275.7 MiB/s | 282.3 KiB |  00m00s
[ 5/37] Installing python3-rpm-macros-0 100% |   0.0   B/s |   6.7 KiB |  00m00s
[ 6/37] Installing pyproject-rpm-macros 100% | 113.0 MiB/s | 115.7 KiB |  00m00s
[ 7/37] Installing cpp-0:14.2.1-6.fc42. 100% | 312.4 MiB/s |  33.7 MiB |  00m00s
[ 8/37] Installing annobin-docs-0:12.75 100% |  48.5 MiB/s |  99.4 KiB |  00m00s
[ 9/37] Installing kernel-headers-0:6.1 100% | 147.3 MiB/s |   6.5 MiB |  00m00s
[10/37] Installing libxcrypt-devel-0:4. 100% |  16.0 MiB/s |  32.9 KiB |  00m00s
[11/37] Installing glibc-devel-0:2.40.9 100% | 104.1 MiB/s |   2.3 MiB |  00m00s
[12/37] Installing tzdata-0:2024a-9.fc4 100% |  39.6 MiB/s |   1.9 MiB |  00m00s
[13/37] Installing python-pip-wheel-0:2 100% | 414.7 MiB/s |   1.2 MiB |  00m00s
[14/37] Installing mpdecimal-0:2.5.1-16 100% | 322.3 MiB/s | 330.0 KiB |  00m00s
[15/37] Installing libb2-0:0.98.1-12.fc 100% | 198.6 MiB/s | 203.3 KiB |  00m00s
[16/37] Installing expat-0:2.6.4-1.fc42 100% |  68.6 MiB/s | 351.4 KiB |  00m00s
[17/37] Installing python3-libs-0:3.13. 100% | 284.7 MiB/s |  50.1 MiB |  00m00s
[18/37] Installing python3-0:3.13.0-1.f 100% | 208.5 MiB/s | 213.5 KiB |  00m00s
[19/37] Installing python3-packaging-0: 100% | 138.7 MiB/s | 568.0 KiB |  00m00s
[20/37] Installing python3-rpm-generato 100% |  81.0 MiB/s |  82.9 KiB |  00m00s
[21/37] Installing python3-iniconfig-0: 100% |  23.0 MiB/s |  23.6 KiB |  00m00s
[22/37] Installing python3-pluggy-0:1.5 100% |  97.4 MiB/s | 199.4 KiB |  00m00s
[23/37] Installing python3-cloudpickle- 100% |  64.2 MiB/s | 131.5 KiB |  00m00s
[24/37] Installing make-1:4.4.1-9.fc42. 100% | 231.4 MiB/s |   1.9 MiB |  00m00s
[25/37] Installing libubsan-0:14.2.1-6. 100% | 232.5 MiB/s | 476.1 KiB |  00m00s
[26/37] Installing libatomic-0:14.2.1-6 100% |  68.2 MiB/s |  69.8 KiB |  00m00s
[27/37] Installing libasan-0:14.2.1-6.f 100% | 256.7 MiB/s |   1.5 MiB |  00m00s
[28/37] Installing gcc-0:14.2.1-6.fc42. 100% | 339.0 MiB/s |  96.6 MiB |  00m00s
[29/37] Installing libstdc++-devel-0:14 100% | 258.1 MiB/s |  15.2 MiB |  00m00s
[30/37] Installing gcc-c++-0:14.2.1-6.f 100% | 307.2 MiB/s |  36.9 MiB |  00m00s
[31/37] Installing annobin-plugin-gcc-0 100% |  61.3 MiB/s |   1.0 MiB |  00m00s
[32/37] Installing gcc-plugin-annobin-0 100% |   4.3 MiB/s |  75.1 KiB |  00m00s
[33/37] Installing python3-joblib-0:1.4 100% | 131.1 MiB/s |   2.2 MiB |  00m00s
[34/37] Installing python3-pytest-0:8.3 100% | 312.8 MiB/s |  21.0 MiB |  00m00s
[35/37] Installing python3-devel-0:3.13 100% | 120.9 MiB/s |   1.8 MiB |  00m00s
[36/37] Installing python3-setuptools-0 100% | 155.6 MiB/s |   8.6 MiB |  00m00s
[37/37] Installing python3-threadpoolct 100% | 984.8 KiB/s | 138.9 KiB |  00m00s
Warning: skipped PGP checks for 35 packages from repository: http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch
Complete!
Finish: build setup for python-scikit-learn-1.5.2-2.fc42.src.rpm
Start: rpmbuild python-scikit-learn-1.5.2-2.fc42.src.rpm
Building target platforms: aarch64
Building for target aarch64
setting SOURCE_DATE_EPOCH=1731715200
Executing(%mkbuilddir): /bin/sh -e /var/tmp/rpm-tmp.Tni7PX
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build
+ test -d /builddir/build/BUILD/python-scikit-learn-1.5.2-build
+ /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w /builddir/build/BUILD/python-scikit-learn-1.5.2-build
+ /usr/bin/rm -rf /builddir/build/BUILD/python-scikit-learn-1.5.2-build
+ /usr/bin/mkdir -p /builddir/build/BUILD/python-scikit-learn-1.5.2-build
+ /usr/bin/mkdir -p /builddir/build/BUILD/python-scikit-learn-1.5.2-build/SPECPARTS
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.UTyjGr
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build
+ cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build
+ rm -rf scikit_learn-1.5.2
+ /usr/lib/rpm/rpmuncompress -x /builddir/build/SOURCES/scikit_learn-1.5.2.tar.gz
+ STATUS=0
+ '[' 0 -ne 0 ']'
+ cd scikit_learn-1.5.2
+ /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w .
+ sed -i -e 's|numpy>=2|numpy|' pyproject.toml
+ find sklearn/metrics/_dist_metrics.pyx.tp -type f
+ xargs sed -i 's/cdef inline {{INPUT_DTYPE_t}} rdist/cdef {{INPUT_DTYPE_t}} rdist/g'
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.ghesdO
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build
+ cd scikit_learn-1.5.2
+ echo pyproject-rpm-macros
+ echo python3-devel
+ echo 'python3dist(packaging)'
+ echo 'python3dist(pip) >= 19'
+ '[' -f pyproject.toml ']'
+ echo '(python3dist(tomli) if python3-devel < 3.11)'
+ rm -rfv '*.dist-info/'
+ '[' -f /usr/bin/python3 ']'
+ mkdir -p /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.pyproject-builddir
+ echo -n
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ VALAFLAGS=-g
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn'
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ CC=gcc
+ CXX=g++
+ TMPDIR=/builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.pyproject-builddir
+ RPM_TOXENV=py313
+ HOSTNAME=rpmbuild
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/pyproject-wheeldir --output /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-2.fc42.aarch64-pyproject-buildrequires -p
Handling meson-python>=0.16.0 from build-system.requires
Requirement not satisfied: meson-python>=0.16.0
Handling Cython>=3.0.10 from build-system.requires
Requirement not satisfied: Cython>=3.0.10
Handling numpy from build-system.requires
Requirement not satisfied: numpy
Handling scipy>=1.6.0 from build-system.requires
Requirement not satisfied: scipy>=1.6.0
Exiting dependency generation pass: build backend
+ cat /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-2.fc42.aarch64-pyproject-buildrequires
+ rm -rfv '*.dist-info/'
+ RPM_EC=0
++ jobs -p
+ exit 0
Wrote: /builddir/build/SRPMS/python-scikit-learn-1.5.2-2.fc42.buildreqs.nosrc.rpm
INFO: Going to install missing dynamic buildrequires
Updating and loading repositories:
 fedora                                 100% |  42.8 KiB/s |  11.2 KiB |  00m00s
 Copr repository                        100% | 153.8 KiB/s |   2.2 KiB |  00m00s
 Additional repo http_kojipkgs_fedorapr 100% | 166.5 KiB/s |   3.8 KiB |  00m00s
Repositories loaded.
Package "gcc-14.2.1-6.fc42.aarch64" is already installed.
Package "gcc-c++-14.2.1-6.fc42.aarch64" is already installed.
Package "pyproject-rpm-macros-1.16.2-1.fc42.noarch" is already installed.
Package "python3-devel-3.13.0-1.fc42.aarch64" is already installed.
Package "python3-joblib-1.4.2-3.fc41.noarch" is already installed.
Package "python3-packaging-24.2-2.fc42.noarch" is already installed.
Package "python3-pytest-8.3.3-3.fc42.noarch" is already installed.
Package "python3-setuptools-74.1.3-4.fc42.noarch" is already installed.
Package "python3-threadpoolctl-3.5.0-4.fc41.noarch" is already installed.

Package                     Arch    Version          Repository                                                         Size
Installing:
 python3-cython             aarch64 3.0.11-1.fc41    http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  19.1 MiB
 python3-meson-python       noarch  0.17.1-1.fc42    http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 277.7 KiB
 python3-numpy              aarch64 1:1.26.4-8.fc41  http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  41.2 MiB
 python3-pip                noarch  24.3.1-1.fc42    http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  11.3 MiB
 python3-scipy              aarch64 1.14.1-1.fc42    http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  66.6 MiB
Installing dependencies:
 emacs-filesystem           noarch  1:30.0-3.fc41    http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   0.0   B
 flexiblas                  aarch64 3.4.4-3.fc41     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  48.5 KiB
 flexiblas-netlib           aarch64 3.4.4-3.fc41     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   9.8 MiB
 flexiblas-openblas-openmp  aarch64 3.4.4-3.fc41     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 195.4 KiB
 libgfortran                aarch64 14.2.1-6.fc42    http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.5 MiB
 meson                      noarch  1.5.1-1.fc42     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  11.4 MiB
 ninja-build                aarch64 1.12.1-3.fc41    http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 459.7 KiB
 openblas                   aarch64 0.3.26-5.fc41    http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  96.0 KiB
 openblas-openmp            aarch64 0.3.26-5.fc41    http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  19.5 MiB
 patchelf                   aarch64 0.18.0-5.fc41    http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 371.2 KiB
 python3-charset-normalizer noarch  3.4.0-1.fc42     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 319.9 KiB
 python3-idna               noarch  3.10-1.fc42      http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 628.0 KiB
 python3-numpy-f2py         aarch64 1:1.26.4-8.fc41  http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.8 MiB
 python3-platformdirs       noarch  4.2.2-2.fc41     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 168.6 KiB
 python3-pooch              noarch  1.8.2-3.fc41     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 625.5 KiB
 python3-pyproject-metadata noarch  0.8.0-4.fc41     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  92.0 KiB
 python3-requests           noarch  2.32.3-3.fc41    http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 485.9 KiB
 python3-urllib3            noarch  2.2.3-3.fc42     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.0 MiB
 vim-filesystem             noarch  2:9.1.825-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  40.0   B

Transaction Summary:
 Installing:        24 packages

Total size of inbound packages is 40 MiB. Need to download 40 MiB.
After this operation, 188 MiB extra will be used (install 188 MiB, remove 0 B).
[ 1/24] python3-meson-python-0:0.17.1-1 100% |   2.0 MiB/s |  81.2 KiB |  00m00s
[ 2/24] python3-numpy-1:1.26.4-8.fc41.a 100% |  58.4 MiB/s |   6.6 MiB |  00m00s
[ 3/24] python3-pip-0:24.3.1-1.fc42.noa 100% |  29.2 MiB/s |   2.5 MiB |  00m00s
[ 4/24] python3-cython-0:3.0.11-1.fc41. 100% |  28.1 MiB/s |   3.7 MiB |  00m00s
[ 5/24] libgfortran-0:14.2.1-6.fc42.aar 100% |  30.0 MiB/s | 460.6 KiB |  00m00s
[ 6/24] flexiblas-netlib-0:3.4.4-3.fc41 100% |  62.4 MiB/s |   2.8 MiB |  00m00s
[ 7/24] python3-numpy-f2py-1:1.26.4-8.f 100% |  20.4 MiB/s | 501.2 KiB |  00m00s
[ 8/24] python3-pooch-0:1.8.2-3.fc41.no 100% |  13.7 MiB/s | 126.4 KiB |  00m00s
[ 9/24] python3-platformdirs-0:4.2.2-2. 100% |   4.5 MiB/s |  41.0 KiB |  00m00s
[10/24] python3-requests-0:2.32.3-3.fc4 100% |  16.2 MiB/s | 149.0 KiB |  00m00s
[11/24] python3-scipy-0:1.14.1-1.fc42.a 100% | 153.3 MiB/s |  16.4 MiB |  00m00s
[12/24] patchelf-0:0.18.0-5.fc41.aarch6 100% |   3.9 MiB/s | 118.3 KiB |  00m00s
[13/24] meson-0:1.5.1-1.fc42.noarch     100% |  45.4 MiB/s |   2.0 MiB |  00m00s
[14/24] python3-pyproject-metadata-0:0. 100% |   5.1 MiB/s |  31.3 KiB |  00m00s
[15/24] ninja-build-0:1.12.1-3.fc41.aar 100% |  20.7 MiB/s | 169.4 KiB |  00m00s
[16/24] flexiblas-0:3.4.4-3.fc41.aarch6 100% |   4.1 MiB/s |  25.3 KiB |  00m00s
[17/24] flexiblas-openblas-openmp-0:3.4 100% |   2.7 MiB/s |  16.5 KiB |  00m00s
[18/24] python3-charset-normalizer-0:3. 100% |  12.4 MiB/s | 101.4 KiB |  00m00s
[19/24] python3-idna-0:3.10-1.fc42.noar 100% |  15.6 MiB/s | 111.7 KiB |  00m00s
[20/24] python3-urllib3-0:2.2.3-3.fc42. 100% |  28.1 MiB/s | 259.0 KiB |  00m00s
[21/24] emacs-filesystem-1:30.0-3.fc41. 100% |   1.4 MiB/s |   7.1 KiB |  00m00s
[22/24] vim-filesystem-2:9.1.825-1.fc42 100% |   4.0 MiB/s |  16.4 KiB |  00m00s
[23/24] openblas-0:0.3.26-5.fc41.aarch6 100% |   5.4 MiB/s |  38.7 KiB |  00m00s
[24/24] openblas-openmp-0:0.3.26-5.fc41 100% | 132.6 MiB/s |   3.8 MiB |  00m00s
--------------------------------------------------------------------------------
[24/24] Total                           100% | 145.9 MiB/s |  40.1 MiB |  00m00s
Running transaction
[ 1/26] Verify package files            100% | 170.0   B/s |  24.0   B |  00m00s
[ 2/26] Prepare transaction             100% | 342.0   B/s |  24.0   B |  00m00s
[ 3/26] Installing libgfortran-0:14.2.1 100% | 304.3 MiB/s |   1.5 MiB |  00m00s
[ 4/26] Installing python3-idna-0:3.10- 100% | 206.5 MiB/s | 634.3 KiB |  00m00s
[ 5/26] Installing python3-urllib3-0:2. 100% | 166.9 MiB/s |   1.0 MiB |  00m00s
[ 6/26] Installing openblas-0:0.3.26-5. 100% |  95.5 MiB/s |  97.8 KiB |  00m00s
[ 7/26] Installing openblas-openmp-0:0. 100% | 405.2 MiB/s |  19.5 MiB |  00m00s
[ 8/26] Installing flexiblas-0:3.4.4-3. 100% |  48.5 MiB/s |  49.7 KiB |  00m00s
[ 9/26] Installing flexiblas-openblas-o 100% | 191.7 MiB/s | 196.3 KiB |  00m00s
[10/26] Installing flexiblas-netlib-0:3 100% | 307.4 MiB/s |   9.8 MiB |  00m00s
[11/26] Installing python3-numpy-1:1.26 100% | 303.3 MiB/s |  41.6 MiB |  00m00s
[12/26] Installing python3-numpy-f2py-1 100% | 166.8 MiB/s |   2.8 MiB |  00m00s
[13/26] Installing vim-filesystem-2:9.1 100% |   4.6 MiB/s |   4.7 KiB |  00m00s
[14/26] Installing emacs-filesystem-1:3 100% |   0.0   B/s | 544.0   B |  00m00s
[15/26] Installing ninja-build-0:1.12.1 100% | 113.0 MiB/s | 463.0 KiB |  00m00s
[16/26] Installing meson-0:1.5.1-1.fc42 100% | 235.1 MiB/s |  11.5 MiB |  00m00s
[17/26] Installing python3-charset-norm 100% | 107.4 MiB/s | 329.8 KiB |  00m00s
[18/26] Installing python3-requests-0:2 100% | 121.6 MiB/s | 498.0 KiB |  00m00s
[19/26] Installing python3-pyproject-me 100% |  92.7 MiB/s |  95.0 KiB |  00m00s
[20/26] Installing patchelf-0:0.18.0-5. 100% | 182.1 MiB/s | 373.0 KiB |  00m00s
[21/26] Installing python3-platformdirs 100% |  85.5 MiB/s | 175.0 KiB |  00m00s
[22/26] Installing python3-pooch-0:1.8. 100% |  78.2 MiB/s | 640.5 KiB |  00m00s
[23/26] Installing python3-scipy-0:1.14 100% | 288.5 MiB/s |  66.9 MiB |  00m00s
[24/26] Installing python3-meson-python 100% |  69.3 MiB/s | 283.7 KiB |  00m00s
[25/26] Installing python3-pip-0:24.3.1 100% | 152.8 MiB/s |  11.6 MiB |  00m00s
[26/26] Installing python3-cython-0:3.0 100% | 200.6 MiB/s |  19.3 MiB |  00m00s
Warning: skipped PGP checks for 24 packages from repository: http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch
Complete!
Building target platforms: aarch64
Building for target aarch64
setting SOURCE_DATE_EPOCH=1731715200
Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.ctSR1U
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build
+ cd scikit_learn-1.5.2
+ echo pyproject-rpm-macros
+ echo python3-devel
+ echo 'python3dist(packaging)'
+ echo 'python3dist(pip) >= 19'
+ '[' -f pyproject.toml ']'
+ echo '(python3dist(tomli) if python3-devel < 3.11)'
+ rm -rfv '*.dist-info/'
+ '[' -f /usr/bin/python3 ']'
+ mkdir -p /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.pyproject-builddir
+ echo -n
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ VALAFLAGS=-g
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn'
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ CC=gcc
+ CXX=g++
+ TMPDIR=/builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.pyproject-builddir
+ RPM_TOXENV=py313
+ HOSTNAME=rpmbuild
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/pyproject-wheeldir --output /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-2.fc42.aarch64-pyproject-buildrequires -p
Handling meson-python>=0.16.0 from build-system.requires
Requirement satisfied: meson-python>=0.16.0
   (installed: meson-python 0.17.1)
Handling Cython>=3.0.10 from build-system.requires
Requirement satisfied: Cython>=3.0.10
   (installed: Cython 3.0.11)
Handling numpy from build-system.requires
Requirement satisfied: numpy
   (installed: numpy 1.26.4)
Handling scipy>=1.6.0 from build-system.requires
Requirement satisfied: scipy>=1.6.0
   (installed: scipy 1.14.1)
Handling numpy>=1.19.5 from pyproject.toml generated metadata: [dependencies] (scikit-learn)
Requirement satisfied: numpy>=1.19.5
   (installed: numpy 1.26.4)
Handling scipy>=1.6.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn)
Requirement satisfied: scipy>=1.6.0
   (installed: scipy 1.14.1)
Handling joblib>=1.2.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn)
Requirement satisfied: joblib>=1.2.0
   (installed: joblib 1.4.2)
Handling threadpoolctl>=3.1.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn)
Requirement satisfied: threadpoolctl>=3.1.0
   (installed: threadpoolctl 3.5.0)
Handling numpy>=1.19.5 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn)
Ignoring alien requirement: numpy>=1.19.5
Handling scipy>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn)
Ignoring alien requirement: scipy>=1.6.0
Handling cython>=3.0.10 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn)
Ignoring alien requirement: cython>=3.0.10
Handling meson-python>=0.16.0 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn)
Ignoring alien requirement: meson-python>=0.16.0
Handling numpy>=1.19.5 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn)
Ignoring alien requirement: numpy>=1.19.5
Handling scipy>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn)
Ignoring alien requirement: scipy>=1.6.0
Handling joblib>=1.2.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn)
Ignoring alien requirement: joblib>=1.2.0
Handling threadpoolctl>=3.1.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn)
Ignoring alien requirement: threadpoolctl>=3.1.0
Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn)
Ignoring alien requirement: matplotlib>=3.3.4
Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn)
Ignoring alien requirement: pandas>=1.1.5
Handling memory_profiler>=0.57.0 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn)
Ignoring alien requirement: memory_profiler>=0.57.0
Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: matplotlib>=3.3.4
Handling scikit-image>=0.17.2 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: scikit-image>=0.17.2
Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: pandas>=1.1.5
Handling seaborn>=0.9.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: seaborn>=0.9.0
Handling memory_profiler>=0.57.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: memory_profiler>=0.57.0
Handling sphinx>=7.3.7 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx>=7.3.7
Handling sphinx-copybutton>=0.5.2 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-copybutton>=0.5.2
Handling sphinx-gallery>=0.16.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-gallery>=0.16.0
Handling numpydoc>=1.2.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: numpydoc>=1.2.0
Handling Pillow>=7.1.2 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: Pillow>=7.1.2
Handling pooch>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: pooch>=1.6.0
Handling sphinx-prompt>=1.4.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-prompt>=1.4.0
Handling sphinxext-opengraph>=0.9.1 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinxext-opengraph>=0.9.1
Handling plotly>=5.14.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: plotly>=5.14.0
Handling polars>=0.20.30 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: polars>=0.20.30
Handling sphinx-design>=0.5.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-design>=0.5.0
Handling sphinx-design>=0.6.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-design>=0.6.0
Handling sphinxcontrib-sass>=0.3.4 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinxcontrib-sass>=0.3.4
Handling pydata-sphinx-theme>=0.15.3 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: pydata-sphinx-theme>=0.15.3
Handling sphinx-remove-toctrees>=1.0.0.post1 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-remove-toctrees>=1.0.0.post1
Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: matplotlib>=3.3.4
Handling scikit-image>=0.17.2 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: scikit-image>=0.17.2
Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: pandas>=1.1.5
Handling seaborn>=0.9.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: seaborn>=0.9.0
Handling pooch>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: pooch>=1.6.0
Handling plotly>=5.14.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: plotly>=5.14.0
Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: matplotlib>=3.3.4
Handling scikit-image>=0.17.2 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: scikit-image>=0.17.2
Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pandas>=1.1.5
Handling pytest>=7.1.2 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pytest>=7.1.2
Handling pytest-cov>=2.9.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pytest-cov>=2.9.0
Handling ruff>=0.2.1 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: ruff>=0.2.1
Handling black>=24.3.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: black>=24.3.0
Handling mypy>=1.9 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: mypy>=1.9
Handling pyamg>=4.0.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pyamg>=4.0.0
Handling polars>=0.20.30 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: polars>=0.20.30
Handling pyarrow>=12.0.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pyarrow>=12.0.0
Handling numpydoc>=1.2.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: numpydoc>=1.2.0
Handling pooch>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pooch>=1.6.0
Handling conda-lock==2.5.6 from pyproject.toml generated metadata: [optional-dependencies] maintenance (scikit-learn)
Ignoring alien requirement: conda-lock==2.5.6
+ cat /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-2.fc42.aarch64-pyproject-buildrequires
+ rm -rfv '*.dist-info/'
+ RPM_EC=0
++ jobs -p
+ exit 0
Wrote: /builddir/build/SRPMS/python-scikit-learn-1.5.2-2.fc42.buildreqs.nosrc.rpm
INFO: Going to install missing dynamic buildrequires
Updating and loading repositories:
 Copr repository                        100% | 143.6 KiB/s |   2.2 KiB |  00m00s
 fedora                                 100% | 175.1 KiB/s |  11.2 KiB |  00m00s
 Additional repo http_kojipkgs_fedorapr 100% | 174.1 KiB/s |   3.8 KiB |  00m00s
Repositories loaded.
Package "gcc-14.2.1-6.fc42.aarch64" is already installed.
Package "gcc-c++-14.2.1-6.fc42.aarch64" is already installed.
Package "pyproject-rpm-macros-1.16.2-1.fc42.noarch" is already installed.
Package "python3-devel-3.13.0-1.fc42.aarch64" is already installed.
Package "python3-cython-3.0.11-1.fc41.aarch64" is already installed.
Package "python3-joblib-1.4.2-3.fc41.noarch" is already installed.
Package "python3-joblib-1.4.2-3.fc41.noarch" is already installed.
Package "python3-meson-python-0.17.1-1.fc42.noarch" is already installed.
Package "python3-numpy-1:1.26.4-8.fc41.aarch64" is already installed.Nothing to do.

Package "python3-numpy-1:1.26.4-8.fc41.aarch64" is already installed.
Package "python3-packaging-24.2-2.fc42.noarch" is already installed.
Package "python3-pip-24.3.1-1.fc42.noarch" is already installed.
Package "python3-pytest-8.3.3-3.fc42.noarch" is already installed.
Package "python3-scipy-1.14.1-1.fc42.aarch64" is already installed.
Package "python3-setuptools-74.1.3-4.fc42.noarch" is already installed.
Package "python3-threadpoolctl-3.5.0-4.fc41.noarch" is already installed.
Package "python3-threadpoolctl-3.5.0-4.fc41.noarch" is already installed.

Building target platforms: aarch64
Building for target aarch64
setting SOURCE_DATE_EPOCH=1731715200
Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.GY36Ou
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build
+ cd scikit_learn-1.5.2
+ echo pyproject-rpm-macros
+ echo python3-devel
+ echo 'python3dist(packaging)'
+ echo 'python3dist(pip) >= 19'
+ '[' -f pyproject.toml ']'
+ echo '(python3dist(tomli) if python3-devel < 3.11)'
+ rm -rfv '*.dist-info/'
+ '[' -f /usr/bin/python3 ']'
+ mkdir -p /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.pyproject-builddir
+ echo -n
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ VALAFLAGS=-g
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn'
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ CC=gcc
+ CXX=g++
+ TMPDIR=/builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.pyproject-builddir
+ RPM_TOXENV=py313
+ HOSTNAME=rpmbuild
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/pyproject-wheeldir --output /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-2.fc42.aarch64-pyproject-buildrequires -p
Handling meson-python>=0.16.0 from build-system.requires
Requirement satisfied: meson-python>=0.16.0
   (installed: meson-python 0.17.1)
Handling Cython>=3.0.10 from build-system.requires
Requirement satisfied: Cython>=3.0.10
   (installed: Cython 3.0.11)
Handling numpy from build-system.requires
Requirement satisfied: numpy
   (installed: numpy 1.26.4)
Handling scipy>=1.6.0 from build-system.requires
Requirement satisfied: scipy>=1.6.0
   (installed: scipy 1.14.1)
Handling numpy>=1.19.5 from pyproject.toml generated metadata: [dependencies] (scikit-learn)
Requirement satisfied: numpy>=1.19.5
   (installed: numpy 1.26.4)
Handling scipy>=1.6.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn)
Requirement satisfied: scipy>=1.6.0
   (installed: scipy 1.14.1)
Handling joblib>=1.2.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn)
Requirement satisfied: joblib>=1.2.0
   (installed: joblib 1.4.2)
Handling threadpoolctl>=3.1.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn)
Requirement satisfied: threadpoolctl>=3.1.0
   (installed: threadpoolctl 3.5.0)
Handling numpy>=1.19.5 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn)
Ignoring alien requirement: numpy>=1.19.5
Handling scipy>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn)
Ignoring alien requirement: scipy>=1.6.0
Handling cython>=3.0.10 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn)
Ignoring alien requirement: cython>=3.0.10
Handling meson-python>=0.16.0 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn)
Ignoring alien requirement: meson-python>=0.16.0
Handling numpy>=1.19.5 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn)
Ignoring alien requirement: numpy>=1.19.5
Handling scipy>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn)
Ignoring alien requirement: scipy>=1.6.0
Handling joblib>=1.2.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn)
Ignoring alien requirement: joblib>=1.2.0
Handling threadpoolctl>=3.1.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn)
Ignoring alien requirement: threadpoolctl>=3.1.0
Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn)
Ignoring alien requirement: matplotlib>=3.3.4
Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn)
Ignoring alien requirement: pandas>=1.1.5
Handling memory_profiler>=0.57.0 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn)
Ignoring alien requirement: memory_profiler>=0.57.0
Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: matplotlib>=3.3.4
Handling scikit-image>=0.17.2 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: scikit-image>=0.17.2
Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: pandas>=1.1.5
Handling seaborn>=0.9.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: seaborn>=0.9.0
Handling memory_profiler>=0.57.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: memory_profiler>=0.57.0
Handling sphinx>=7.3.7 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx>=7.3.7
Handling sphinx-copybutton>=0.5.2 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-copybutton>=0.5.2
Handling sphinx-gallery>=0.16.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-gallery>=0.16.0
Handling numpydoc>=1.2.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: numpydoc>=1.2.0
Handling Pillow>=7.1.2 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: Pillow>=7.1.2
Handling pooch>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: pooch>=1.6.0
Handling sphinx-prompt>=1.4.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-prompt>=1.4.0
Handling sphinxext-opengraph>=0.9.1 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinxext-opengraph>=0.9.1
Handling plotly>=5.14.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: plotly>=5.14.0
Handling polars>=0.20.30 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: polars>=0.20.30
Handling sphinx-design>=0.5.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-design>=0.5.0
Handling sphinx-design>=0.6.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-design>=0.6.0
Handling sphinxcontrib-sass>=0.3.4 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinxcontrib-sass>=0.3.4
Handling pydata-sphinx-theme>=0.15.3 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: pydata-sphinx-theme>=0.15.3
Handling sphinx-remove-toctrees>=1.0.0.post1 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-remove-toctrees>=1.0.0.post1
Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: matplotlib>=3.3.4
Handling scikit-image>=0.17.2 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: scikit-image>=0.17.2
Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: pandas>=1.1.5
Handling seaborn>=0.9.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: seaborn>=0.9.0
Handling pooch>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: pooch>=1.6.0
Handling plotly>=5.14.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: plotly>=5.14.0
Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: matplotlib>=3.3.4
Handling scikit-image>=0.17.2 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: scikit-image>=0.17.2
Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pandas>=1.1.5
Handling pytest>=7.1.2 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pytest>=7.1.2
Handling pytest-cov>=2.9.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pytest-cov>=2.9.0
Handling ruff>=0.2.1 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: ruff>=0.2.1
Handling black>=24.3.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: black>=24.3.0
Handling mypy>=1.9 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: mypy>=1.9
Handling pyamg>=4.0.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pyamg>=4.0.0
Handling polars>=0.20.30 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: polars>=0.20.30
Handling pyarrow>=12.0.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pyarrow>=12.0.0
Handling numpydoc>=1.2.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: numpydoc>=1.2.0
Handling pooch>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pooch>=1.6.0
Handling conda-lock==2.5.6 from pyproject.toml generated metadata: [optional-dependencies] maintenance (scikit-learn)
Ignoring alien requirement: conda-lock==2.5.6
+ cat /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-2.fc42.aarch64-pyproject-buildrequires
+ rm -rfv '*.dist-info/'
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.ruFuUj
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CFLAGS
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CXXFLAGS
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FFLAGS
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FCFLAGS
+ VALAFLAGS=-g
+ export VALAFLAGS
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn'
+ export RUSTFLAGS
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ export LDFLAGS
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ export LT_SYS_LIBRARY_PATH
+ CC=gcc
+ export CC
+ CXX=g++
+ export CXX
+ cd scikit_learn-1.5.2
+ mkdir -p /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.pyproject-builddir
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ VALAFLAGS=-g
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn'
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ CC=gcc
+ CXX=g++
+ TMPDIR=/builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.pyproject-builddir
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_wheel.py /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/pyproject-wheeldir
Processing /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2
  Preparing metadata (pyproject.toml): started
  Running command Preparing metadata (pyproject.toml)
  + meson setup /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2 /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.mesonpy-mhvluywp -Dbuildtype=release -Db_ndebug=if-release -Db_vscrt=md --native-file=/builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.mesonpy-mhvluywp/meson-python-native-file.ini
  The Meson build system
  Version: 1.5.1
  Source dir: /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2
  Build dir: /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.mesonpy-mhvluywp
  Build type: native build
  Project name: scikit-learn
  Project version: 1.5.2
  C compiler for the host machine: gcc (gcc 14.2.1 "gcc (GCC) 14.2.1 20241104 (Red Hat 14.2.1-6)")
  C linker for the host machine: gcc ld.bfd 2.43.50.20241104
  C++ compiler for the host machine: g++ (gcc 14.2.1 "g++ (GCC) 14.2.1 20241104 (Red Hat 14.2.1-6)")
  C++ linker for the host machine: g++ ld.bfd 2.43.50.20241104
  Cython compiler for the host machine: cython (cython 3.0.11)
  Host machine cpu family: aarch64
  Host machine cpu: aarch64
  Compiler for C supports arguments -Wno-unused-but-set-variable: YES
  Compiler for C supports arguments -Wno-unused-function: YES
  Compiler for C supports arguments -Wno-conversion: YES
  Compiler for C supports arguments -Wno-misleading-indentation: YES
  Library m found: YES
  Program python found: YES (/usr/bin/python3)
  Run-time dependency OpenMP for c found: YES 4.5
  Found pkg-config: YES (/usr/bin/pkg-config) 2.3.0
  Run-time dependency python found: YES 3.13
  Build targets in project: 111

  scikit-learn 1.5.2

    User defined options
      Native files: /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.mesonpy-mhvluywp/meson-python-native-file.ini
      buildtype   : release
      b_ndebug    : if-release
      b_vscrt     : md

  Found ninja-1.12.1 at /usr/bin/ninja
  + /usr/bin/ninja
  [1/249] Copying file sklearn/__init__.py
  [2/249] Copying file sklearn/_loss/_loss.pxd
  [3/249] Copying file sklearn/utils/_openmp_helpers.pxd
  [4/249] Copying file sklearn/utils/_cython_blas.pxd
  [5/249] Copying file sklearn/utils/_heap.pxd
  [6/249] Copying file sklearn/utils/__init__.py
  [7/249] Copying file sklearn/utils/_random.pxd
  [8/249] Generating sklearn/utils/_seq_dataset_pxd with a custom command
  [9/249] Copying file sklearn/utils/_typedefs.pxd
  [10/249] Generating sklearn/metrics/_dist_metrics_pxd with a custom command
  [11/249] Generating sklearn/utils/_weight_vector_pxd with a custom command
  [12/249] Copying file sklearn/utils/_sorting.pxd
  [13/249] Copying file sklearn/metrics/__init__.py
  [14/249] Copying file sklearn/utils/_vector_sentinel.pxd
  [15/249] Copying file sklearn/metrics/_pairwise_distances_reduction/__init__.py
  [16/249] Generating sklearn/metrics/_pairwise_distances_reduction/_datasets_pair_pxd with a custom command
  [17/249] Copying file sklearn/metrics/_pairwise_distances_reduction/_classmode.pxd
  [18/249] Generating sklearn/metrics/_pairwise_distances_reduction/_base_pxd with a custom command
  [19/249] Generating sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer_pxd with a custom command
  [20/249] Generating sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_pxd with a custom command
  [21/249] Generating sklearn/metrics/_pairwise_distances_reduction/_argkmin_pxd with a custom command
  [22/249] Copying file sklearn/linear_model/__init__.py
  [23/249] Generating sklearn/neighbors/_binary_tree_pxi with a custom command
  [24/249] Copying file sklearn/linear_model/_sgd_fast.pxd
  [25/249] Copying file sklearn/neighbors/__init__.py
  [26/249] Generating sklearn/_loss/_loss_pyx with a custom command
  [27/249] Generating sklearn/metrics/_dist_metrics_pyx with a custom command
  [28/249] Copying file sklearn/neighbors/_partition_nodes.pxd
  [29/249] Generating sklearn/utils/_seq_dataset_pyx with a custom command
  [30/249] Generating sklearn/utils/_weight_vector_pyx with a custom command
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  [32/249] Generating sklearn/metrics/_pairwise_distances_reduction/_base_pyx with a custom command
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  In file included from ../sklearn/svm/src/libsvm/libsvm_template.cpp:6:
  ../sklearn/svm/src/libsvm/svm.cpp: In function ‘svm_train’:
  ../sklearn/svm/src/libsvm/svm.cpp:106:38: warning: argument 1 range [18446744056529682432, 18446744073709551608] exceeds maximum object size 9223372036854775807 [-Walloc-size-larger-than=]
    106 | #define Malloc(type,n) (type *)malloc((n)*sizeof(type))
        |                                ~~~~~~^~~~~~~~~~~~~~~~~~
  In file included from /usr/include/c++/14/bits/std_abs.h:38,
                   from /usr/include/c++/14/cmath:49,
                   from /usr/include/c++/14/math.h:36,
                   from ../sklearn/svm/src/libsvm/svm.cpp:64:
  /usr/include/stdlib.h:672:14: note: in a call to allocation function ‘malloc’ declared here
    672 | extern void *malloc (size_t __size) __THROW __attribute_malloc__
        |              ^~~~~~
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  sklearn/metrics/_dist_metrics.cpython-313-aarch64-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c: In function ‘__pyx_pf_7sklearn_7metrics_13_dist_metrics_16DistanceMetric64_22_pairwise_sparse_dense’:
  sklearn/metrics/_dist_metrics.cpython-313-aarch64-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c:29084:29: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  29084 |             __pyx_v_x2_data = ((&(*((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const  *) ( /* dim=1 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const  *) ( /* dim=0 */ (__pyx_v_Y_data.data + __pyx_t_18 * __pyx_v_Y_data.strides[0]) )) + __pyx_t_19)) )))) + (__pyx_v_i2 * __pyx_v_n_features));
        |                             ^
  sklearn/metrics/_dist_metrics.cpython-313-aarch64-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c: In function ‘__pyx_pf_7sklearn_7metrics_13_dist_metrics_16DistanceMetric64_24_pairwise_dense_sparse’:
  sklearn/metrics/_dist_metrics.cpython-313-aarch64-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c:29869:27: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  29869 |           __pyx_v_x1_data = ((&(*((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const  *) ( /* dim=1 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const  *) ( /* dim=0 */ (__pyx_v_X_data.data + __pyx_t_15 * __pyx_v_X_data.strides[0]) )) + __pyx_t_16)) )))) + (__pyx_v_i1 * __pyx_v_n_features));
        |                           ^
  sklearn/metrics/_dist_metrics.cpython-313-aarch64-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c: In function ‘__pyx_pf_7sklearn_7metrics_13_dist_metrics_16DistanceMetric32_22_pairwise_sparse_dense’:
  sklearn/metrics/_dist_metrics.cpython-313-aarch64-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c:48708:29: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  48708 |             __pyx_v_x2_data = ((&(*((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const  *) ( /* dim=1 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const  *) ( /* dim=0 */ (__pyx_v_Y_data.data + __pyx_t_18 * __pyx_v_Y_data.strides[0]) )) + __pyx_t_19)) )))) + (__pyx_v_i2 * __pyx_v_n_features));
        |                             ^
  sklearn/metrics/_dist_metrics.cpython-313-aarch64-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c: In function ‘__pyx_pf_7sklearn_7metrics_13_dist_metrics_16DistanceMetric32_24_pairwise_dense_sparse’:
  sklearn/metrics/_dist_metrics.cpython-313-aarch64-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c:49493:27: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  49493 |           __pyx_v_x1_data = ((&(*((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const  *) ( /* dim=1 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const  *) ( /* dim=0 */ (__pyx_v_X_data.data + __pyx_t_15 * __pyx_v_X_data.strides[0]) )) + __pyx_t_16)) )))) + (__pyx_v_i1 * __pyx_v_n_features));
        |                           ^
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  [155/249] Compiling C object sklearn/ensemble/_hist_gradient_boosting/common.cpython-313-aarch64-linux-gnu.so.p/meson-generated_sklearn_ensemble__hist_gradient_boosting_common.pyx.c.o
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  sklearn/datasets/_svmlight_format_fast.cpython-313-aarch64-linux-gnu.so.p/sklearn/datasets/_svmlight_format_fast.pyx.c:3297:9: warning: ‘Py_UNICODE’ is deprecated [-Wdeprecated-declarations]
   3297 |         Py_UNICODE *as_pyunicodes;
        |         ^~~~~~~~~~
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  [172/249] Compiling C object sklearn/svm/_libsvm_sparse.cpython-313-aarch64-linux-gnu.so.p/meson-generated_sklearn_svm__libsvm_sparse.pyx.c.o
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  sklearn/neighbors/_kd_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__recursive_build’:
  sklearn/neighbors/_kd_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:32181:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  32181 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_1)) ))));
        |                     ^
  sklearn/neighbors/_kd_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__query_radius_single’:
  sklearn/neighbors/_kd_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:39596:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  39596 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_kd_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__kde_single_breadthfirst’:
  sklearn/neighbors/_kd_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:40149:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  40149 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_kd_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__kde_single_depthfirst’:
  sklearn/neighbors/_kd_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:41055:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  41055 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_kd_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__two_point_single’:
  sklearn/neighbors/_kd_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:41666:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  41666 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_kd_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__two_point_dual’:
  sklearn/neighbors/_kd_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:42069:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  42069 |   __pyx_v_idx_array1 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_1)) ))));
        |                      ^
  sklearn/neighbors/_kd_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:42079:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  42079 |   __pyx_v_idx_array2 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_other->idx_array.data) + __pyx_t_1)) ))));
        |                      ^
  sklearn/neighbors/_kd_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__recursive_build’:
  sklearn/neighbors/_kd_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:45994:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  45994 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_1)) ))));
        |                     ^
  sklearn/neighbors/_kd_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__query_radius_single’:
  sklearn/neighbors/_kd_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:53418:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  53418 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_kd_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__kde_single_breadthfirst’:
  sklearn/neighbors/_kd_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:53971:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  53971 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_kd_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__kde_single_depthfirst’:
  sklearn/neighbors/_kd_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:54877:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  54877 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_kd_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__two_point_single’:
  sklearn/neighbors/_kd_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:55488:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  55488 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_kd_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__two_point_dual’:
  sklearn/neighbors/_kd_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:55891:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  55891 |   __pyx_v_idx_array1 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_1)) ))));
        |                      ^
  sklearn/neighbors/_kd_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:55901:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  55901 |   __pyx_v_idx_array2 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_other->idx_array.data) + __pyx_t_1)) ))));
        |                      ^
  sklearn/neighbors/_kd_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_init_node64’:
  sklearn/neighbors/_kd_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:57775:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  57775 |   __pyx_v_lower_bounds = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const  *) ( /* dim=2 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const  *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_tree->node_bounds.data + __pyx_t_1 * __pyx_v_tree->node_bounds.strides[0]) ) + __pyx_t_2 * __pyx_v_tree->node_bounds.strides[1]) )) + __pyx_t_3)) ))));
        |                        ^
  sklearn/neighbors/_kd_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:57787:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  57787 |   __pyx_v_upper_bounds = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const  *) ( /* dim=2 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const  *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_tree->node_bounds.data + __pyx_t_3 * __pyx_v_tree->node_bounds.strides[0]) ) + __pyx_t_2 * __pyx_v_tree->node_bounds.strides[1]) )) + __pyx_t_1)) ))));
        |                        ^
  sklearn/neighbors/_kd_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_init_node32’:
  sklearn/neighbors/_kd_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:59584:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  59584 |   __pyx_v_lower_bounds = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const  *) ( /* dim=2 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const  *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_tree->node_bounds.data + __pyx_t_1 * __pyx_v_tree->node_bounds.strides[0]) ) + __pyx_t_2 * __pyx_v_tree->node_bounds.strides[1]) )) + __pyx_t_3)) ))));
        |                        ^
  sklearn/neighbors/_kd_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:59596:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  59596 |   __pyx_v_upper_bounds = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const  *) ( /* dim=2 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const  *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_tree->node_bounds.data + __pyx_t_3 * __pyx_v_tree->node_bounds.strides[0]) ) + __pyx_t_2 * __pyx_v_tree->node_bounds.strides[1]) )) + __pyx_t_1)) ))));
        |                        ^
  In function ‘__pyx_fuse_0__pyx_f_7sklearn_9neighbors_8_kd_tree__total_node_weight’,
      inlined from ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__kde_single_depthfirst’ at sklearn/neighbors/_kd_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:55200:19:
  sklearn/neighbors/_kd_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:57527:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized]
  57527 |     __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])]));
        |                                                    ^
  sklearn/neighbors/_kd_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__kde_single_depthfirst’:
  sklearn/neighbors/_kd_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:54777:55: note: ‘__pyx_v_sample_weight’ was declared here
  54777 |   __pyx_t_7sklearn_5utils_9_typedefs_float32_t const *__pyx_v_sample_weight;
        |                                                       ^~~~~~~~~~~~~~~~~~~~~
  In function ‘__pyx_fuse_1__pyx_f_7sklearn_9neighbors_8_kd_tree__total_node_weight’,
      inlined from ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__kde_single_depthfirst’ at sklearn/neighbors/_kd_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:41378:19:
  sklearn/neighbors/_kd_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:57586:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized]
  57586 |     __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])]));
        |                                                    ^
  sklearn/neighbors/_kd_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__kde_single_depthfirst’:
  sklearn/neighbors/_kd_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:40955:55: note: ‘__pyx_v_sample_weight’ was declared here
  40955 |   __pyx_t_7sklearn_5utils_9_typedefs_float64_t const *__pyx_v_sample_weight;
        |                                                       ^~~~~~~~~~~~~~~~~~~~~
  [175/249] Compiling C object sklearn/svm/_liblinear.cpython-313-aarch64-linux-gnu.so.p/meson-generated_sklearn_svm__liblinear.pyx.c.o
  [176/249] Compiling C object sklearn/neighbors/_ball_tree.cpython-313-aarch64-linux-gnu.so.p/meson-generated_sklearn_neighbors__ball_tree.pyx.c.o
  sklearn/neighbors/_ball_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__recursive_build’:
  sklearn/neighbors/_ball_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:32313:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  32313 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_1)) ))));
        |                     ^
  sklearn/neighbors/_ball_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__query_radius_single’:
  sklearn/neighbors/_ball_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:39728:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  39728 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_ball_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__kde_single_breadthfirst’:
  sklearn/neighbors/_ball_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:40281:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  40281 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_ball_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__kde_single_depthfirst’:
  sklearn/neighbors/_ball_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:41187:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  41187 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_ball_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__two_point_single’:
  sklearn/neighbors/_ball_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:41798:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  41798 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_ball_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__two_point_dual’:
  sklearn/neighbors/_ball_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:42201:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  42201 |   __pyx_v_idx_array1 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_1)) ))));
        |                      ^
  sklearn/neighbors/_ball_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:42211:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  42211 |   __pyx_v_idx_array2 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_other->idx_array.data) + __pyx_t_1)) ))));
        |                      ^
  sklearn/neighbors/_ball_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__recursive_build’:
  sklearn/neighbors/_ball_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:46126:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  46126 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_1)) ))));
        |                     ^
  sklearn/neighbors/_ball_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__query_radius_single’:
  sklearn/neighbors/_ball_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:53550:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  53550 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_ball_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__kde_single_breadthfirst’:
  sklearn/neighbors/_ball_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:54103:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  54103 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_ball_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__kde_single_depthfirst’:
  sklearn/neighbors/_ball_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:55009:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  55009 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_ball_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__two_point_single’:
  sklearn/neighbors/_ball_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:55620:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  55620 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_ball_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__two_point_dual’:
  sklearn/neighbors/_ball_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:56023:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  56023 |   __pyx_v_idx_array1 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_1)) ))));
        |                      ^
  sklearn/neighbors/_ball_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:56033:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  56033 |   __pyx_v_idx_array2 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_other->idx_array.data) + __pyx_t_1)) ))));
        |                      ^
  sklearn/neighbors/_ball_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_init_node64’:
  sklearn/neighbors/_ball_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:57910:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  57910 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_tree->idx_array.data) + __pyx_t_1)) ))));
        |                     ^
  sklearn/neighbors/_ball_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:57933:20: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  57933 |   __pyx_v_centroid = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const  *) ( /* dim=2 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const  *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_tree->node_bounds.data + __pyx_t_2 * __pyx_v_tree->node_bounds.strides[0]) ) + __pyx_t_3 * __pyx_v_tree->node_bounds.strides[1]) )) + __pyx_t_1)) ))));
        |                    ^
  sklearn/neighbors/_ball_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_init_node32’:
  sklearn/neighbors/_ball_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:59285:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  59285 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_tree->idx_array.data) + __pyx_t_1)) ))));
        |                     ^
  sklearn/neighbors/_ball_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:59308:20: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  59308 |   __pyx_v_centroid = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const  *) ( /* dim=2 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const  *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_tree->node_bounds.data + __pyx_t_2 * __pyx_v_tree->node_bounds.strides[0]) ) + __pyx_t_3 * __pyx_v_tree->node_bounds.strides[1]) )) + __pyx_t_1)) ))));
        |                    ^
  In function ‘__pyx_fuse_0__pyx_f_7sklearn_9neighbors_10_ball_tree__total_node_weight’,
      inlined from ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__kde_single_depthfirst’ at sklearn/neighbors/_ball_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:55332:19:
  sklearn/neighbors/_ball_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:57659:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized]
  57659 |     __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])]));
        |                                                    ^
  sklearn/neighbors/_ball_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__kde_single_depthfirst’:
  sklearn/neighbors/_ball_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:54909:55: note: ‘__pyx_v_sample_weight’ was declared here
  54909 |   __pyx_t_7sklearn_5utils_9_typedefs_float32_t const *__pyx_v_sample_weight;
        |                                                       ^~~~~~~~~~~~~~~~~~~~~
  In function ‘__pyx_fuse_1__pyx_f_7sklearn_9neighbors_10_ball_tree__total_node_weight’,
      inlined from ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__kde_single_depthfirst’ at sklearn/neighbors/_ball_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:41510:19:
  sklearn/neighbors/_ball_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:57718:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized]
  57718 |     __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])]));
        |                                                    ^
  sklearn/neighbors/_ball_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__kde_single_depthfirst’:
  sklearn/neighbors/_ball_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:41087:55: note: ‘__pyx_v_sample_weight’ was declared here
  41087 |   __pyx_t_7sklearn_5utils_9_typedefs_float64_t const *__pyx_v_sample_weight;
        |                                                       ^~~~~~~~~~~~~~~~~~~~~
  [177/249] Generating sklearn/write_built_with_meson_file with a custom command
  [178/249] Compiling C++ object sklearn/preprocessing/_target_encoder_fast.cpython-313-aarch64-linux-gnu.so.p/meson-generated_sklearn_preprocessing__target_encoder_fast.pyx.cpp.o
  [179/249] Linking target sklearn/__check_build/_check_build.cpython-313-aarch64-linux-gnu.so
  [180/249] Linking target sklearn/_isotonic.cpython-313-aarch64-linux-gnu.so
  [181/249] Compiling C object sklearn/tree/_utils.cpython-313-aarch64-linux-gnu.so.p/meson-generated_sklearn_tree__utils.pyx.c.o
  [182/249] Compiling C object sklearn/tree/_criterion.cpython-313-aarch64-linux-gnu.so.p/meson-generated_sklearn_tree__criterion.pyx.c.o
  [183/249] Compiling C object sklearn/tree/_splitter.cpython-313-aarch64-linux-gnu.so.p/meson-generated_sklearn_tree__splitter.pyx.c.o
  [184/249] Linking target sklearn/utils/sparsefuncs_fast.cpython-313-aarch64-linux-gnu.so
  [185/249] Linking target sklearn/utils/murmurhash.cpython-313-aarch64-linux-gnu.so
  [186/249] Linking target sklearn/utils/arrayfuncs.cpython-313-aarch64-linux-gnu.so
  [187/249] Linking target sklearn/utils/_cython_blas.cpython-313-aarch64-linux-gnu.so
  [188/249] Linking target sklearn/utils/_openmp_helpers.cpython-313-aarch64-linux-gnu.so
  [189/249] Linking target sklearn/utils/_heap.cpython-313-aarch64-linux-gnu.so
  [190/249] Linking target sklearn/utils/_fast_dict.cpython-313-aarch64-linux-gnu.so
  [191/249] Linking target sklearn/utils/_sorting.cpython-313-aarch64-linux-gnu.so
  [192/249] Linking target sklearn/utils/_typedefs.cpython-313-aarch64-linux-gnu.so
  [193/249] Linking target sklearn/utils/_random.cpython-313-aarch64-linux-gnu.so
  [194/249] Linking target sklearn/utils/_isfinite.cpython-313-aarch64-linux-gnu.so
  [195/249] Linking target sklearn/utils/_vector_sentinel.cpython-313-aarch64-linux-gnu.so
  [196/249] Linking target sklearn/utils/_weight_vector.cpython-313-aarch64-linux-gnu.so
  [197/249] Linking target sklearn/utils/_seq_dataset.cpython-313-aarch64-linux-gnu.so
  [198/249] Linking target sklearn/metrics/_pairwise_fast.cpython-313-aarch64-linux-gnu.so
  [199/249] Compiling C++ object sklearn/tree/_tree.cpython-313-aarch64-linux-gnu.so.p/meson-generated_sklearn_tree__tree.pyx.cpp.o
  In file included from /usr/include/c++/14/aarch64-redhat-linux/bits/c++allocator.h:33,
                   from /usr/include/c++/14/bits/allocator.h:46,
                   from /usr/include/c++/14/string:43,
                   from /usr/include/c++/14/bits/locale_classes.h:40,
                   from /usr/include/c++/14/bits/ios_base.h:41,
                   from /usr/include/c++/14/ios:44,
                   from sklearn/tree/_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/tree/_tree.pyx.cpp:1266:
  In member function ‘std::__new_allocator<long>::construct<long, long const&>(long*, long const&)void’,
      inlined from ‘std::allocator_traits<std::allocator<long> >::construct<long, long const&>(std::allocator<long>&, long*, long const&)void’ at /usr/include/c++/14/bits/alloc_traits.h:569:17,
      inlined from ‘std::deque<long, std::allocator<long> >::_M_push_back_aux<long const&>(long const&)void’ at /usr/include/c++/14/bits/deque.tcc:501:30,
      inlined from ‘std::deque<long, std::allocator<long> >::push_back(long const&)’ at /usr/include/c++/14/bits/stl_deque.h:1548:20,
      inlined from ‘std::stack<long, std::deque<long, std::allocator<long> > >::push(long const&)’ at /usr/include/c++/14/bits/stl_stack.h:259:20,
      inlined from ‘__pyx_f_7sklearn_4tree_5_tree__cost_complexity_prune(__Pyx_memviewslice, __pyx_obj_7sklearn_4tree_5_tree_Tree*, __pyx_obj_7sklearn_4tree_5_tree__CCPPruneController*) [clone .isra.0]’ at sklearn/tree/_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/tree/_tree.pyx.cpp:43521:44:
  /usr/include/c++/14/bits/new_allocator.h:191:11: warning: ‘__pyx_v_pruned_branch_node_idx’ may be used uninitialized [-Wmaybe-uninitialized]
    191 |         { ::new((void *)__p) _Up(std::forward<_Args>(__args)...); }
        |           ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  sklearn/tree/_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/tree/_tree.pyx.cpp: In function ‘__pyx_f_7sklearn_4tree_5_tree__cost_complexity_prune(__Pyx_memviewslice, __pyx_obj_7sklearn_4tree_5_tree_Tree*, __pyx_obj_7sklearn_4tree_5_tree__CCPPruneController*) [clone .isra.0]’:
  sklearn/tree/_tree.cpython-313-aarch64-linux-gnu.so.p/sklearn/tree/_tree.pyx.cpp:42635:45: note: ‘__pyx_v_pruned_branch_node_idx’ was declared here
  42635 |   __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_pruned_branch_node_idx;
        |                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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  ../sklearn/svm/src/libsvm/svm.cpp: In function ‘svm_train’:
  ../sklearn/svm/src/libsvm/svm.cpp:2600:34: warning: argument 1 range [18446744056529682432, 18446744073709551608] exceeds maximum object size 9223372036854775807 [-Walloc-size-larger-than=]
   2600 |                 model->sv_coef = Malloc(double *,nr_class-1);
        |                                  ^
  /usr/include/stdlib.h:672:14: note: in a call to allocation function ‘malloc’ declared here
    672 | extern void *malloc (size_t __size) __THROW __attribute_malloc__
        |              ^
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  ../sklearn/svm/src/libsvm/svm.cpp: In function ‘svm_train’:
  ../sklearn/svm/src/libsvm/svm.cpp:2600:34: warning: argument 1 range [18446744056529682432, 18446744073709551608] exceeds maximum object size 9223372036854775807 [-Walloc-size-larger-than=]
   2600 |                 model->sv_coef = Malloc(double *,nr_class-1);
        |                                  ^
  /usr/include/stdlib.h:672:14: note: in a call to allocation function ‘malloc’ declared here
    672 | extern void *malloc (size_t __size) __THROW __attribute_malloc__
        |              ^
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  Preparing metadata (pyproject.toml): finished with status 'done'
Building wheels for collected packages: scikit-learn
  Building wheel for scikit-learn (pyproject.toml): started
  Running command Building wheel for scikit-learn (pyproject.toml)
  Building wheel for scikit-learn (pyproject.toml): finished with status 'done'
  Created wheel for scikit-learn: filename=scikit_learn-1.5.2-cp313-cp313-linux_aarch64.whl size=47686061 sha256=dc692d3194eb63623318b8181c3acdd3bfde8ec2c604e206aeb8f799b24c0a8c
  Stored in directory: /builddir/.cache/pip/wheels/d0/f7/ed/169788b6ef0d060c3252060e72ecfdac93fbbb182a5bfb10c0
Successfully built scikit-learn
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.2NQhpZ
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build
+ '[' /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT '!=' / ']'
+ rm -rf /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT
++ dirname /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT
+ mkdir -p /builddir/build/BUILD/python-scikit-learn-1.5.2-build
+ mkdir /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CFLAGS
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CXXFLAGS
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FFLAGS
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FCFLAGS
+ VALAFLAGS=-g
+ export VALAFLAGS
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn'
+ export RUSTFLAGS
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ export LDFLAGS
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ export LT_SYS_LIBRARY_PATH
+ CC=gcc
+ export CC
+ CXX=g++
+ export CXX
+ cd scikit_learn-1.5.2
++ xargs basename --multiple
++ ls /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/pyproject-wheeldir/scikit_learn-1.5.2-cp313-cp313-linux_aarch64.whl
++ sed -E 's/([^-]+)-([^-]+)-.+\.whl/\1==\2/'
+ specifier=scikit_learn==1.5.2
+ '[' -z scikit_learn==1.5.2 ']'
+ TMPDIR=/builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.pyproject-builddir
+ /usr/bin/python3 -m pip install --root /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT --prefix /usr --no-deps --disable-pip-version-check --progress-bar off --verbose --ignore-installed --no-warn-script-location --no-index --no-cache-dir --find-links /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/pyproject-wheeldir scikit_learn==1.5.2
Using pip 24.3.1 from /usr/lib/python3.13/site-packages/pip (python 3.13)
Looking in links: /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/pyproject-wheeldir
Processing ./pyproject-wheeldir/scikit_learn-1.5.2-cp313-cp313-linux_aarch64.whl
Installing collected packages: scikit_learn
Successfully installed scikit_learn-1.5.2
+ '[' -d /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/bin ']'
+ rm -f /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-2.fc42.aarch64-pyproject-ghost-distinfo
+ site_dirs=()
+ '[' -d /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib/python3.13/site-packages ']'
+ '[' /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages '!=' /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib/python3.13/site-packages ']'
+ '[' -d /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages ']'
+ site_dirs+=("/usr/lib64/python3.13/site-packages")
+ for site_dir in ${site_dirs[@]}
+ for distinfo in /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT$site_dir/*.dist-info
+ echo '%ghost /usr/lib64/python3.13/site-packages/scikit_learn-1.5.2.dist-info'
+ sed -i s/pip/rpm/ /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/scikit_learn-1.5.2.dist-info/INSTALLER
+ PYTHONPATH=/usr/lib/rpm/redhat
+ /usr/bin/python3 -B /usr/lib/rpm/redhat/pyproject_preprocess_record.py --buildroot /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT --record /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/scikit_learn-1.5.2.dist-info/RECORD --output /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-2.fc42.aarch64-pyproject-record
+ rm -fv /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/scikit_learn-1.5.2.dist-info/RECORD
removed '/builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/scikit_learn-1.5.2.dist-info/RECORD'
+ rm -fv /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/scikit_learn-1.5.2.dist-info/REQUESTED
removed '/builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/scikit_learn-1.5.2.dist-info/REQUESTED'
++ wc -l /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-2.fc42.aarch64-pyproject-ghost-distinfo
++ cut -f1 '-d '
+ lines=1
+ '[' 1 -ne 1 ']'
+ RPM_FILES_ESCAPE=4.19
+ /usr/bin/python3 /usr/lib/rpm/redhat/pyproject_save_files.py --output-files /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-2.fc42.aarch64-pyproject-files --output-modules /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-2.fc42.aarch64-pyproject-modules --buildroot /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT --sitelib /usr/lib/python3.13/site-packages --sitearch /usr/lib64/python3.13/site-packages --python-version 3.13 --pyproject-record /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-2.fc42.aarch64-pyproject-record --prefix /usr sklearn
+ /usr/bin/find-debuginfo -j4 --strict-build-id -m -i --build-id-seed 1.5.2-2.fc42 --unique-debug-suffix -1.5.2-2.fc42.aarch64 --unique-debug-src-base python-scikit-learn-1.5.2-2.fc42.aarch64 --run-dwz --dwz-low-mem-die-limit 10000000 --dwz-max-die-limit 50000000 -S debugsourcefiles.list /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2
find-debuginfo: starting
Extracting debug info from 67 files
DWARF-compressing 67 files
sepdebugcrcfix: Updated 67 CRC32s, 0 CRC32s did match.
Creating .debug symlinks for symlinks to ELF files
Copying sources found by 'debugedit -l' to /usr/src/debug/python-scikit-learn-1.5.2-2.fc42.aarch64
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find-debuginfo: done
+ /usr/lib/rpm/check-buildroot
+ /usr/lib/rpm/redhat/brp-ldconfig
+ /usr/lib/rpm/brp-compress
+ /usr/lib/rpm/redhat/brp-strip-lto /usr/bin/strip
+ /usr/lib/rpm/brp-strip-static-archive /usr/bin/strip
+ /usr/lib/rpm/check-rpaths
+ /usr/lib/rpm/redhat/brp-mangle-shebangs
*** WARNING: ./usr/lib64/python3.13/site-packages/sklearn/ensemble/tests/test_weight_boosting.py is executable but has no shebang, removing executable bit
*** WARNING: ./usr/lib64/python3.13/site-packages/sklearn/cluster/_optics.py is executable but has no shebang, removing executable bit
+ /usr/lib/rpm/brp-remove-la-files
+ env /usr/lib/rpm/redhat/brp-python-bytecompile '' 1 0 -j4
Bytecompiling .py files below /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib/debug/usr/lib64/python3.13 using python3.13
Bytecompiling .py files below /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13 using python3.13
+ /usr/lib/rpm/redhat/brp-python-hardlink
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/builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/_loss/tests/__pycache__/test_loss.cpython-313.pyc: replacing with normalized version
/builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/_loss/tests/__pycache__/test_loss.cpython-313.opt-1.pyc: replacing with normalized version
Scanned 237 directories and 2102 files,
               processed 811 inodes,
               811 modified (490 replaced + 321 rewritten),
               0 unsupported format, 0 errors
Reading /builddir/build/BUILD/python-scikit-learn-1.5.2-build/SPECPARTS/rpm-debuginfo.specpart
Executing(%check): /bin/sh -e /var/tmp/rpm-tmp.CHoMc6
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CFLAGS
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CXXFLAGS
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FFLAGS
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FCFLAGS
+ VALAFLAGS=-g
+ export VALAFLAGS
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn'
+ export RUSTFLAGS
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ export LDFLAGS
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ export LT_SYS_LIBRARY_PATH
+ CC=gcc
+ export CC
+ CXX=g++
+ export CXX
+ cd scikit_learn-1.5.2
+ export PYTHONDONTWRITEBYTECODE=1
+ PYTHONDONTWRITEBYTECODE=1
+ export 'PYTEST_ADDOPTS=-p no:cacheprovider'
+ PYTEST_ADDOPTS='-p no:cacheprovider'
~/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages ~/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2
+ pushd /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages
+ pytest --deselect 'sklearn/datasets/tests/test_openml.py::test_fetch_openml_verify_checksum[True-liac-arff]' --deselect 'sklearn/datasets/tests/test_openml.py::test_fetch_openml_verify_checksum[False-liac-arff]' --deselect 'sklearn/datasets/tests/test_openml.py::test_fetch_openml_verify_checksum[True-pandas]' --deselect 'sklearn/datasets/tests/test_openml.py::test_fetch_openml_verify_checksum[False-pandas]' --deselect sklearn/covariance/tests/test_covariance.py --deselect sklearn/covariance/tests/test_robust_covariance.py --deselect sklearn/linear_model/tests/test_bayes.py::test_toy_ard_object --deselect 'sklearn/linear_model/tests/test_bayes.py::test_ard_accuracy_on_easy_problem[42-10-100]' --deselect 'sklearn/linear_model/tests/test_bayes.py::test_ard_accuracy_on_easy_problem[42-100-10]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_estimators_dtypes]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_regressors_no_decision_function]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_methods_sample_order_invariance]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_methods_subset_invariance]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_dont_overwrite_parameters]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_fit2d_predict1d]' --deselect 'sklearn/tests/test_common.py::test_estimators[EllipticEnvelope()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[EmpiricalCovariance()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[FastICA()-check_methods_sample_order_invariance]' --deselect 'sklearn/tests/test_common.py::test_estimators[FastICA()-check_methods_subset_invariance]' --deselect 'sklearn/tests/test_common.py::test_estimators[FastICA()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[FastICA()-check_dict_unchanged]' --deselect 'sklearn/tests/test_common.py::test_estimators[FastICA()-check_dont_overwrite_parameters]' --deselect 'sklearn/tests/test_common.py::test_estimators[FastICA()-check_fit2d_predict1d]' --deselect 'sklearn/tests/test_common.py::test_estimators[KernelPCA()-check_fit2d_1sample]' --deselect 'sklearn/tests/test_common.py::test_estimators[LedoitWolf()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[MinCovDet()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[OAS()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[RidgeCV()-check_fit2d_1sample]' --deselect 'sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV()-check_fit2d_1sample]' --deselect 'sklearn/tests/test_common.py::test_estimators[ShrunkCovariance()-check_fit2d_1feature]' --deselect 'sklearn/utils/tests/test_validation.py::test_check_is_fitted_with_attributes[list]' --deselect sklearn/utils/tests/test_validation.py::test_check_is_fitted sklearn
============================= test session starts ==============================
platform linux -- Python 3.13.0, pytest-8.3.3, pluggy-1.5.0
rootdir: /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages
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=============================== warnings summary ===============================
sklearn/utils/estimator_checks.py:457: 10 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:457: SkipTestWarning: Can't instantiate estimator ColumnTransformer parameters ['transformers']
    warnings.warn(msg, SkipTestWarning)

sklearn/utils/estimator_checks.py:457: 10 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:457: SkipTestWarning: Can't instantiate estimator FeatureUnion parameters ['transformer_list']
    warnings.warn(msg, SkipTestWarning)

sklearn/utils/estimator_checks.py:457
sklearn/utils/estimator_checks.py:457
sklearn/utils/estimator_checks.py:457
sklearn/utils/estimator_checks.py:457
sklearn/utils/estimator_checks.py:457
sklearn/utils/estimator_checks.py:457
sklearn/utils/estimator_checks.py:457
sklearn/utils/estimator_checks.py:457
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:457: SkipTestWarning: Can't instantiate estimator GridSearchCV parameters ['estimator', 'param_grid']
    warnings.warn(msg, SkipTestWarning)

sklearn/utils/estimator_checks.py:457
sklearn/utils/estimator_checks.py:457
sklearn/utils/estimator_checks.py:457
sklearn/utils/estimator_checks.py:457
sklearn/utils/estimator_checks.py:457
sklearn/utils/estimator_checks.py:457
sklearn/utils/estimator_checks.py:457
sklearn/utils/estimator_checks.py:457
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:457: SkipTestWarning: Can't instantiate estimator HalvingGridSearchCV parameters ['estimator', 'param_grid']
    warnings.warn(msg, SkipTestWarning)

sklearn/utils/estimator_checks.py:457
sklearn/utils/estimator_checks.py:457
sklearn/utils/estimator_checks.py:457
sklearn/utils/estimator_checks.py:457
sklearn/utils/estimator_checks.py:457
sklearn/utils/estimator_checks.py:457
sklearn/utils/estimator_checks.py:457
sklearn/utils/estimator_checks.py:457
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:457: SkipTestWarning: Can't instantiate estimator HalvingRandomSearchCV parameters ['estimator', 'param_distributions']
    warnings.warn(msg, SkipTestWarning)

sklearn/utils/estimator_checks.py:457
sklearn/utils/estimator_checks.py:457
sklearn/utils/estimator_checks.py:457
sklearn/utils/estimator_checks.py:457
sklearn/utils/estimator_checks.py:457
sklearn/utils/estimator_checks.py:457
sklearn/utils/estimator_checks.py:457
sklearn/utils/estimator_checks.py:457
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:457: SkipTestWarning: Can't instantiate estimator Pipeline parameters ['steps']
    warnings.warn(msg, SkipTestWarning)

sklearn/utils/estimator_checks.py:457
sklearn/utils/estimator_checks.py:457
sklearn/utils/estimator_checks.py:457
sklearn/utils/estimator_checks.py:457
sklearn/utils/estimator_checks.py:457
sklearn/utils/estimator_checks.py:457
sklearn/utils/estimator_checks.py:457
sklearn/utils/estimator_checks.py:457
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:457: SkipTestWarning: Can't instantiate estimator RandomizedSearchCV parameters ['estimator', 'param_distributions']
    warnings.warn(msg, SkipTestWarning)

sklearn/utils/estimator_checks.py:457: 10 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:457: SkipTestWarning: Can't instantiate estimator SparseCoder parameters ['dictionary']
    warnings.warn(msg, SkipTestWarning)

sklearn/utils/estimator_checks.py:336
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:336: SkipTestWarning: Explicit SKIP via _skip_test tag for estimator ClassifierChain.
    warnings.warn(

sklearn/utils/estimator_checks.py:328
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:328: SkipTestWarning: Can't test estimator CountVectorizer which requires input  of type ['string']
    warnings.warn(

sklearn/utils/estimator_checks.py:328
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:328: SkipTestWarning: Can't test estimator DictVectorizer which requires input  of type ['dict']
    warnings.warn(

sklearn/utils/estimator_checks.py:328
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:328: SkipTestWarning: Can't test estimator FeatureHasher which requires input  of type ['dict']
    warnings.warn(

sklearn/utils/estimator_checks.py:328
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:328: SkipTestWarning: Can't test estimator HashingVectorizer which requires input  of type ['string']
    warnings.warn(

sklearn/utils/estimator_checks.py:328
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:328: SkipTestWarning: Can't test estimator IsotonicRegression which requires input  of type ['1darray']
    warnings.warn(

sklearn/utils/estimator_checks.py:328
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:328: SkipTestWarning: Can't test estimator LabelBinarizer which requires input  of type ['1dlabels']
    warnings.warn(

sklearn/utils/estimator_checks.py:328
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:328: SkipTestWarning: Can't test estimator LabelEncoder which requires input  of type ['1dlabels']
    warnings.warn(

sklearn/utils/estimator_checks.py:328
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:328: SkipTestWarning: Can't test estimator MultiLabelBinarizer which requires input  of type ['2dlabels']
    warnings.warn(

sklearn/utils/estimator_checks.py:336
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:336: SkipTestWarning: Explicit SKIP via _skip_test tag for estimator MultiOutputClassifier.
    warnings.warn(

sklearn/utils/estimator_checks.py:328
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:328: SkipTestWarning: Can't test estimator PatchExtractor which requires input  of type ['3darray']
    warnings.warn(

sklearn/utils/estimator_checks.py:328
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:328: SkipTestWarning: Can't test estimator TfidfVectorizer which requires input  of type ['string']
    warnings.warn(

../../../../../scikit_learn-1.5.2/sklearn/utils/_typedefs.pyx:21
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/utils/_typedefs.pyx:21: PytestCollectionWarning: cannot collect 'testing_make_array_from_typed_val' because it is not a function.
    def testing_make_array_from_typed_val(testing_type_t val):

sklearn/cluster/tests/test_affinity_propagation.py::test_affinity_propagation_equal_points
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/_affinity_propagation.py:52: UserWarning: All samples have mutually equal similarities. Returning arbitrary cluster center(s).
    warnings.warn(

sklearn/cluster/tests/test_birch.py::test_birch_predict[42-float64]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/_birch.py:725: ConvergenceWarning: Number of subclusters found (3) by BIRCH is less than (4). Decrease the threshold.
    warnings.warn(

sklearn/cluster/tests/test_dbscan.py: 10 warnings
sklearn/cluster/tests/test_optics.py: 2 warnings
sklearn/manifold/tests/test_isomap.py: 1 warning
sklearn/neighbors/tests/test_neighbors.py: 122 warnings
sklearn/utils/tests/test_estimator_checks.py: 20 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_base.py:246: EfficiencyWarning: Precomputed sparse input was not sorted by row values. Use the function sklearn.neighbors.sort_graph_by_row_values to sort the input by row values, with warn_when_not_sorted=False to remove this warning.
    warnings.warn(

sklearn/cluster/tests/test_hdbscan.py::test_hdbscan_usable_inputs[kwargs0-X0]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/_hdbscan/hdbscan.py:266: UserWarning: The minimum spanning tree contains edge weights with value infinity. Potentially, you are missing too many distances in the initial distance matrix for the given neighborhood size.
    warn(

sklearn/cluster/tests/test_hierarchical.py::test_affinity_passed_to_fix_connectivity
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/_agglomerative.py:594: UserWarning: the number of connected components of the connectivity matrix is 2 > 1. Completing it to avoid stopping the tree early.
    connectivity, n_connected_components = _fix_connectivity(

sklearn/cluster/tests/test_mean_shift.py: 3 warnings
sklearn/compose/tests/test_column_transformer.py: 2 warnings
sklearn/decomposition/tests/test_dict_learning.py: 10 warnings
sklearn/decomposition/tests/test_online_lda.py: 2 warnings
sklearn/ensemble/tests/test_bagging.py: 8 warnings
sklearn/ensemble/tests/test_forest.py: 2 warnings
sklearn/manifold/tests/test_mds.py: 3 warnings
sklearn/metrics/tests/test_classification.py: 2 warnings
sklearn/metrics/tests/test_pairwise.py: 2 warnings
sklearn/model_selection/tests/test_search.py: 6 warnings
sklearn/neighbors/tests/test_kd_tree.py: 2 warnings
sklearn/neighbors/tests/test_neighbors.py: 2 warnings
sklearn/tests/test_multioutput.py: 4 warnings
sklearn/tests/test_pipeline.py: 2 warnings
  /usr/lib/python3.13/site-packages/joblib/externals/loky/backend/fork_exec.py:38: DeprecationWarning: This process (pid=13818) is multi-threaded, use of fork() may lead to deadlocks in the child.
    pid = os.fork()

sklearn/cluster/tests/test_spectral.py::test_precomputed_nearest_neighbors_filtering
sklearn/cluster/tests/test_spectral.py::test_precomputed_nearest_neighbors_filtering
sklearn/manifold/tests/test_spectral_embedding.py::test_precomputed_nearest_neighbors_filtering
sklearn/manifold/tests/test_spectral_embedding.py::test_precomputed_nearest_neighbors_filtering
sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[SpectralEmbedding()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/manifold/_spectral_embedding.py:329: UserWarning: Graph is not fully connected, spectral embedding may not work as expected.
    warnings.warn(

sklearn/cluster/tests/test_spectral.py::test_spectral_clustering_np_matrix_raises
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/tests/test_spectral.py:315: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
    X = np.matrix([[0.0, 2.0], [2.0, 0.0]])

sklearn/compose/tests/test_target.py::test_transform_target_regressor_invertible
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_function_transformer.py:202: UserWarning: The provided functions are not strictly inverse of each other. If you are sure you want to proceed regardless, set 'check_inverse=False'.
    warnings.warn(

sklearn/covariance/tests/test_graphical_lasso.py::test_graphical_lasso_n_iter[cd]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/covariance/_graph_lasso.py:139: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008809462491801145, tolerance: 8.876533008162483e-05
    coefs, _, _, _ = cd_fast.enet_coordinate_descent_gram(

sklearn/covariance/tests/test_graphical_lasso.py::test_graphical_lasso_n_iter[cd]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/covariance/_graph_lasso.py:139: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0010103266374813513, tolerance: 8.96862030376985e-05
    coefs, _, _, _ = cd_fast.enet_coordinate_descent_gram(

sklearn/covariance/tests/test_graphical_lasso.py::test_graphical_lasso_n_iter[cd]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/covariance/_graph_lasso.py:139: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.002290488556457193, tolerance: 0.00011435637954661171
    coefs, _, _, _ = cd_fast.enet_coordinate_descent_gram(

sklearn/covariance/tests/test_graphical_lasso.py::test_graphical_lasso_n_iter[cd]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/covariance/_graph_lasso.py:191: ConvergenceWarning: graphical_lasso: did not converge after 2 iteration: dual gap: 8.601e-03
    warnings.warn(

sklearn/covariance/tests/test_graphical_lasso.py: 20 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/covariance/_empirical_covariance.py:102: UserWarning: Only one sample available. You may want to reshape your data array
    warnings.warn(

sklearn/covariance/tests/test_graphical_lasso.py::test_graphical_lasso_cv
  /usr/lib64/python3.13/site-packages/numpy/core/_methods.py:173: RuntimeWarning: invalid value encountered in subtract
    x = asanyarray(arr - arrmean)

sklearn/datasets/tests/test_base.py::test_load_sample_images
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/datasets/tests/test_base.py:236: UserWarning: Could not load sample images, PIL is not available.
    warnings.warn("Could not load sample images, PIL is not available.")

sklearn/datasets/tests/test_base.py::test_load_sample_image
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/datasets/tests/test_base.py:245: UserWarning: Could not load sample images, PIL is not available.
    warnings.warn("Could not load sample images, PIL is not available.")

sklearn/datasets/tests/test_openml.py::test_dataset_with_openml_error[True]
sklearn/datasets/tests/test_openml.py::test_dataset_with_openml_error[False]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/datasets/_openml.py:1027: UserWarning: Version 2 of dataset anneal is inactive, meaning that issues have been found in the dataset. Try using a newer version from this URL: https://www.openml.org/data/v1/download/1/anneal.arff
    warn(

sklearn/datasets/tests/test_svmlight_format.py: 16 warnings
  /usr/lib64/python3.13/site-packages/scipy/sparse/_data.py:74: RuntimeWarning: invalid value encountered in cast
    self.data.astype(dtype, casting=casting, copy=True),

sklearn/datasets/tests/test_svmlight_format.py: 12 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/datasets/tests/test_svmlight_format.py:290: RuntimeWarning: invalid value encountered in cast
    X_input = X.astype(dtype)

sklearn/decomposition/tests/test_kernel_pca.py: 28 warnings
sklearn/linear_model/tests/test_passive_aggressive.py: 2 warnings
sklearn/tests/test_common.py: 3 warnings
sklearn/tests/test_multioutput.py: 39 warnings
sklearn/utils/tests/test_estimator_checks.py: 1 warning
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_stochastic_gradient.py:744: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
    warnings.warn(

sklearn/decomposition/tests/test_nmf.py::test_nmf_fit_close[NMF-solver1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:1759: ConvergenceWarning: Maximum number of iterations 600 reached. Increase it to improve convergence.
    warnings.warn(

sklearn/decomposition/tests/test_nmf.py::test_nmf_transform[mu]
sklearn/decomposition/tests/test_nmf.py::test_nmf_regularization[NMF-solver0]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:1759: ConvergenceWarning: Maximum number of iterations 200 reached. Increase it to improve convergence.
    warnings.warn(

sklearn/decomposition/tests/test_nmf.py: 24 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:1610: UserWarning: The multiplicative update ('mu') solver cannot update zeros present in the initialization, and so leads to poorer results when used jointly with init='nndsvd'. You may try init='nndsvda' or init='nndsvdar' instead.
    warnings.warn(

sklearn/decomposition/tests/test_nmf.py::test_non_negative_factorization_consistency[0.0-1.0-cd-random]
sklearn/decomposition/tests/test_nmf.py::test_non_negative_factorization_consistency[0.0-1.0-cd-random]
sklearn/decomposition/tests/test_nmf.py::test_non_negative_factorization_consistency[0.0-1.0-cd-nndsvd]
sklearn/decomposition/tests/test_nmf.py::test_non_negative_factorization_consistency[0.0-1.0-cd-nndsvd]
sklearn/decomposition/tests/test_nmf.py::test_non_negative_factorization_consistency[1.0-0.0-cd-random]
sklearn/decomposition/tests/test_nmf.py::test_non_negative_factorization_consistency[1.0-0.0-cd-random]
sklearn/decomposition/tests/test_nmf.py::test_non_negative_factorization_consistency[1.0-0.0-cd-nndsvd]
sklearn/decomposition/tests/test_nmf.py::test_non_negative_factorization_consistency[1.0-0.0-cd-nndsvd]
sklearn/tests/test_common.py::test_transformers_get_feature_names_out[NMF()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:1759: ConvergenceWarning: Maximum number of iterations 500 reached. Increase it to improve convergence.
    warnings.warn(

sklearn/decomposition/tests/test_nmf.py::test_nmf_negative_beta_loss[csr_matrix]
sklearn/decomposition/tests/test_nmf.py::test_nmf_negative_beta_loss[csr_array]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:182: RuntimeWarning: divide by zero encountered in power
    sum_WH_beta = np.sum(WH**beta)

sklearn/decomposition/tests/test_nmf.py::test_nmf_dtype_match[MiniBatchNMF-solver2-float64-float64]
sklearn/decomposition/tests/test_nmf.py::test_nmf_dtype_match[MiniBatchNMF-solver2-float64-float64]
sklearn/decomposition/tests/test_nmf.py::test_NMF_inverse_transform_Xt_deprecation[MiniBatchNMF]
sklearn/decomposition/tests/test_nmf.py::test_nmf_n_components_auto[MiniBatchNMF]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:2341: ConvergenceWarning: Maximum number of iterations 200 reached. Increase it to improve convergence.
    warnings.warn(

sklearn/decomposition/tests/test_nmf.py::test_nmf_n_components_default_value_warning
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:1258: RuntimeWarning: When init!='custom', provided W or H are ignored. Set  init='custom' to use them as initialization.
    warnings.warn(

sklearn/decomposition/tests/test_online_lda.py::test_lda_empty_docs[csr_matrix]
sklearn/decomposition/tests/test_online_lda.py::test_lda_empty_docs[csr_array]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_lda.py:892: RuntimeWarning: invalid value encountered in scalar divide
    perword_bound = bound / word_cnt

sklearn/ensemble/tests/test_bagging.py: 32 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/ensemble/_bagging.py:1020: RuntimeWarning: divide by zero encountered in log
    log_proba = np.log(self.predict_proba(X))

sklearn/ensemble/tests/test_bagging.py::test_oob_score_classification
sklearn/ensemble/tests/test_bagging.py::test_oob_score_classification
sklearn/ensemble/tests/test_bagging.py::test_oob_score_removed_on_warm_start
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/ensemble/_bagging.py:881: RuntimeWarning: invalid value encountered in divide
    oob_decision_function = predictions / predictions.sum(axis=1)[:, np.newaxis]

sklearn/ensemble/tests/test_bagging.py::test_oob_score_removed_on_warm_start
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/ensemble/_bagging.py:875: UserWarning: Some inputs do not have OOB scores. This probably means too few estimators were used to compute any reliable oob estimates.
    warn(

sklearn/ensemble/tests/test_bagging.py::test_bagging_regressor_with_missing_inputs
sklearn/ensemble/tests/test_bagging.py::test_bagging_regressor_with_missing_inputs
sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None]
sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None]
sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_matrix]
sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_array]
  /usr/lib64/python3.13/site-packages/numpy/core/fromnumeric.py:88: RuntimeWarning: invalid value encountered in reduce
    return ufunc.reduce(obj, axis, dtype, out, **passkwargs)

sklearn/ensemble/tests/test_bagging.py: 9 warnings
sklearn/tree/tests/test_tree.py: 73 warnings
sklearn/utils/tests/test_response.py: 1 warning
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/tree/_classes.py:1074: RuntimeWarning: divide by zero encountered in log
    return np.log(proba)

sklearn/ensemble/tests/test_common.py: 6 warnings
sklearn/linear_model/tests/test_logistic.py: 1 warning
sklearn/tests/test_common.py: 5 warnings
sklearn/tests/test_multioutput.py: 1 warning
sklearn/tests/test_pipeline.py: 1 warning
sklearn/utils/tests/test_estimator_checks.py: 1 warning
sklearn/utils/tests/test_estimator_html_repr.py: 1 warning
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):
  STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.
  
  Increase the number of iterations (max_iter) or scale the data as shown in:
      https://scikit-learn.org/stable/modules/preprocessing.html
  Please also refer to the documentation for alternative solver options:
      https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression
    n_iter_i = _check_optimize_result(

sklearn/ensemble/tests/test_forest.py::test_class_weight_errors[ExtraTreesClassifier]
sklearn/ensemble/tests/test_forest.py::test_class_weight_errors[ExtraTreesClassifier]
sklearn/ensemble/tests/test_forest.py::test_class_weight_errors[RandomForestClassifier]
sklearn/ensemble/tests/test_forest.py::test_class_weight_errors[RandomForestClassifier]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/ensemble/_forest.py:861: UserWarning: class_weight presets "balanced" or "balanced_subsample" are not recommended for warm_start if the fitted data differs from the full dataset. In order to use "balanced" weights, use compute_class_weight ("balanced", classes, y). In place of y you can use a large enough sample of the full training set target to properly estimate the class frequency distributions. Pass the resulting weights as the class_weight parameter.
    warn(

sklearn/ensemble/tests/test_forest.py::test_oob_not_computed_twice[ExtraTreesRegressor]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/ensemble/_forest.py:615: UserWarning: Some inputs do not have OOB scores. This probably means too few trees were used to compute any reliable OOB estimates.
    warn(

sklearn/ensemble/tests/test_forest.py::test_mse_criterion_object_segfault_smoke_test[ExtraTreesRegressor]
sklearn/ensemble/tests/test_forest.py::test_mse_criterion_object_segfault_smoke_test[RandomForestRegressor]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/base.py:1473: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().
    return fit_method(estimator, *args, **kwargs)

sklearn/ensemble/tests/test_stacking.py: 30 warnings
sklearn/neural_network/tests/test_mlp.py: 1 warning
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neural_network/_multilayer_perceptron.py:690: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn't converged yet.
    warnings.warn(

sklearn/ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME]
sklearn/ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME]
sklearn/ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME]
sklearn/ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME]
sklearn/ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME]
sklearn/ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME]
sklearn/ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME]
sklearn/ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME]
sklearn/ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/ensemble/_weight_boosting.py:704: RuntimeWarning: divide by zero encountered in log
    np.log(sample_weight)

sklearn/ensemble/tests/test_weight_boosting.py: 21 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/ensemble/_weight_boosting.py:527: FutureWarning: The SAMME.R algorithm (the default) is deprecated and will be removed in 1.6. Use the SAMME algorithm to circumvent this warning.
    warnings.warn(

sklearn/ensemble/tests/test_weight_boosting.py::test_sample_weights_infinite
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/ensemble/_weight_boosting.py:703: RuntimeWarning: overflow encountered in exp
    sample_weight = np.exp(

sklearn/feature_extraction/tests/test_text.py::test_vectorizer_pipeline_grid_selection
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:776: UserWarning: The least populated class in y has only 4 members, which is less than n_splits=5.
    warnings.warn(

sklearn/feature_extraction/tests/test_text.py::test_vectorizer_stop_words_inconsistent
sklearn/feature_extraction/tests/test_text.py::test_vectorizer_stop_words_inconsistent
sklearn/feature_extraction/tests/test_text.py::test_vectorizer_stop_words_inconsistent
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/feature_extraction/text.py:406: UserWarning: Your stop_words may be inconsistent with your preprocessing. Tokenizing the stop words generated tokens ['and', 'll', 've'] not in stop_words.
    warnings.warn(

sklearn/feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None-<lambda>-ngram_range3-\\w+-<lambda>-'preprocessor'-'analyzer'-is callable-CountVectorizer]
sklearn/feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None-<lambda>-ngram_range3-\\w+-<lambda>-'preprocessor'-'analyzer'-is callable-HashingVectorizer]
sklearn/feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None-<lambda>-ngram_range3-\\w+-<lambda>-'preprocessor'-'analyzer'-is callable-TfidfVectorizer]
sklearn/feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None-<lambda>-ngram_range3-\\w+-<lambda>-'preprocessor'-'analyzer'-is callable-TfidfVectorizer]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/feature_extraction/text.py:551: UserWarning: The parameter 'token_pattern' will not be used since 'analyzer' != 'word'
    warnings.warn(

sklearn/feature_selection/tests/test_feature_select.py::test_invalid_k
sklearn/feature_selection/tests/test_feature_select.py::test_invalid_k
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/feature_selection/_univariate_selection.py:112: UserWarning: Features [0] are constant.
    warnings.warn("Features %s are constant." % constant_features_idx, UserWarning)

sklearn/feature_selection/tests/test_feature_select.py::test_invalid_k
sklearn/feature_selection/tests/test_feature_select.py::test_invalid_k
sklearn/feature_selection/tests/test_feature_select.py::test_f_classif_constant_feature
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/feature_selection/_univariate_selection.py:113: RuntimeWarning: invalid value encountered in divide
    f = msb / msw

sklearn/feature_selection/tests/test_from_model.py: 4 warnings
sklearn/tests/test_common.py: 12 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/feature_selection/_base.py:116: UserWarning: No features were selected: either the data is too noisy or the selection test too strict.
    warnings.warn(

sklearn/feature_selection/tests/test_rfe.py: 49 warnings
sklearn/model_selection/tests/test_search.py: 30 warnings
sklearn/svm/tests/test_svm.py: 17 warnings
sklearn/tests/test_calibration.py: 12 warnings
sklearn/tests/test_common.py: 1 warning
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/svm/_base.py:1235: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
    warnings.warn(

sklearn/feature_selection/tests/test_variance_threshold.py::test_variance_nan[None]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/feature_selection/_variance_threshold.py:112: RuntimeWarning: Degrees of freedom <= 0 for slice.
    self.variances_ = np.nanvar(X, axis=0)

sklearn/feature_selection/tests/test_variance_threshold.py::test_variance_nan[None]
sklearn/feature_selection/tests/test_variance_threshold.py::test_variance_nan[bsr_matrix]
sklearn/feature_selection/tests/test_variance_threshold.py::test_variance_nan[bsr_array]
sklearn/feature_selection/tests/test_variance_threshold.py::test_variance_nan[csc_matrix]
sklearn/feature_selection/tests/test_variance_threshold.py::test_variance_nan[csc_array]
sklearn/feature_selection/tests/test_variance_threshold.py::test_variance_nan[csr_matrix]
sklearn/feature_selection/tests/test_variance_threshold.py::test_variance_nan[csr_array]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/feature_selection/_variance_threshold.py:120: RuntimeWarning: All-NaN slice encountered
    self.variances_ = np.nanmin(compare_arr, axis=0)

sklearn/gaussian_process/tests/test_gpc.py: 10 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:452: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__constant_value is close to the specified upper bound 100.0. Increasing the bound and calling fit again may find a better value.
    warnings.warn(

sklearn/gaussian_process/tests/test_gpc.py::test_random_starts[42]
sklearn/gaussian_process/tests/test_gpr.py::test_constant_target[kernel3]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:442: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__constant_value is close to the specified lower bound 0.01. Decreasing the bound and calling fit again may find a better value.
    warnings.warn(

sklearn/gaussian_process/tests/test_gpc.py::test_multi_class[kernel0]
sklearn/gaussian_process/tests/test_gpc.py::test_multi_class_n_jobs[kernel0]
sklearn/gaussian_process/tests/test_gpr.py::test_constant_target[kernel0]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:452: ConvergenceWarning: The optimal value found for dimension 0 of parameter length_scale is close to the specified upper bound 100000.0. Increasing the bound and calling fit again may find a better value.
    warnings.warn(

sklearn/gaussian_process/tests/test_gpr.py: 24 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:442: ConvergenceWarning: The optimal value found for dimension 0 of parameter k2__constant_value is close to the specified lower bound 1e-05. Decreasing the bound and calling fit again may find a better value.
    warnings.warn(

sklearn/gaussian_process/tests/test_gpr.py: 13 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:442: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__k2__length_scale is close to the specified lower bound 0.001. Decreasing the bound and calling fit again may find a better value.
    warnings.warn(

sklearn/gaussian_process/tests/test_gpr.py::test_random_starts
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:442: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__k2__length_scale is close to the specified lower bound 0.0001. Decreasing the bound and calling fit again may find a better value.
    warnings.warn(

sklearn/gaussian_process/tests/test_gpr.py::test_random_starts
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:442: ConvergenceWarning: The optimal value found for dimension 1 of parameter k1__k2__length_scale is close to the specified lower bound 0.0001. Decreasing the bound and calling fit again may find a better value.
    warnings.warn(

sklearn/gaussian_process/tests/test_gpr.py::test_bound_check_fixed_hyperparameter
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:442: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__k2__length_scale is close to the specified lower bound 1e-05. Decreasing the bound and calling fit again may find a better value.
    warnings.warn(

sklearn/gaussian_process/tests/test_gpr.py::test_constant_target[kernel2]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:452: ConvergenceWarning: The optimal value found for dimension 0 of parameter length_scale is close to the specified upper bound 1000.0. Increasing the bound and calling fit again may find a better value.
    warnings.warn(

sklearn/gaussian_process/tests/test_gpr.py::test_constant_target[kernel3]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:452: ConvergenceWarning: The optimal value found for dimension 0 of parameter k2__length_scale is close to the specified upper bound 1000.0. Increasing the bound and calling fit again may find a better value.
    warnings.warn(

sklearn/gaussian_process/tests/test_gpr.py::test_constant_target[kernel4]
sklearn/gaussian_process/tests/test_gpr.py::test_constant_target[kernel5]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:442: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__k1__constant_value is close to the specified lower bound 0.01. Decreasing the bound and calling fit again may find a better value.
    warnings.warn(

sklearn/gaussian_process/tests/test_gpr.py::test_constant_target[kernel4]
sklearn/gaussian_process/tests/test_gpr.py::test_constant_target[kernel5]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:452: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__k2__length_scale is close to the specified upper bound 1000.0. Increasing the bound and calling fit again may find a better value.
    warnings.warn(

sklearn/gaussian_process/tests/test_gpr.py::test_gpr_fit_error[params1-ValueError-requires that all bounds are finite]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:357: RuntimeWarning: invalid value encountered in log
    return np.log(np.vstack(bounds))

sklearn/impute/tests/test_common.py: 16 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/impute/_base.py:598: UserWarning: Skipping features without any observed values: [3]. At least one non-missing value is needed for imputation with strategy='mean'.
    warnings.warn(

sklearn/impute/tests/test_common.py: 20 warnings
sklearn/impute/tests/test_impute.py: 4 warnings
sklearn/impute/tests/test_knn.py: 61 warnings
sklearn/tests/test_common.py: 1 warning
  /usr/lib64/python3.13/site-packages/numpy/ma/extras.py:617: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)
    scl = avg.dtype.type(a.count(axis))

sklearn/impute/tests/test_common.py: 4 warnings
sklearn/impute/tests/test_impute.py: 8 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/impute/_base.py:598: UserWarning: Skipping features without any observed values: [0]. At least one non-missing value is needed for imputation with strategy='mean'.
    warnings.warn(

sklearn/impute/tests/test_impute.py::test_imputation_mean_median[csc_matrix]
sklearn/impute/tests/test_impute.py::test_imputation_mean_median[csc_array]
sklearn/impute/tests/test_impute.py::test_simple_imputer_keep_empty_features[False-median-array]
sklearn/impute/tests/test_impute.py::test_simple_imputer_keep_empty_features[False-median-array]
sklearn/impute/tests/test_impute.py::test_simple_imputer_keep_empty_features[False-median-sparse]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/impute/_base.py:598: UserWarning: Skipping features without any observed values: [0]. At least one non-missing value is needed for imputation with strategy='median'.
    warnings.warn(

sklearn/impute/tests/test_impute.py: 10 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/impute/_base.py:598: UserWarning: Skipping features without any observed values: [0]. At least one non-missing value is needed for imputation with strategy='most_frequent'.
    warnings.warn(

sklearn/impute/tests/test_impute.py: 32 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/impute/_iterative.py:825: ConvergenceWarning: [IterativeImputer] Early stopping criterion not reached.
    warnings.warn(

sklearn/impute/tests/test_impute.py::test_iterative_imputer_all_missing
sklearn/impute/tests/test_impute.py::test_iterative_imputer_all_missing
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/impute/_base.py:598: UserWarning: Skipping features without any observed values: [0 1 2]. At least one non-missing value is needed for imputation with strategy='mean'.
    warnings.warn(

sklearn/impute/tests/test_knn.py::test_knn_imputer_with_simple_example[-1-0]
sklearn/impute/tests/test_knn.py::test_knn_imputer_with_simple_example[nan-0]
sklearn/impute/tests/test_knn.py::test_knn_imputer_distance_weighted_not_enough_neighbors[-1-0]
sklearn/impute/tests/test_knn.py::test_knn_imputer_distance_weighted_not_enough_neighbors[-1-0]
sklearn/impute/tests/test_knn.py::test_knn_imputer_distance_weighted_not_enough_neighbors[nan-0]
sklearn/impute/tests/test_knn.py::test_knn_imputer_distance_weighted_not_enough_neighbors[nan-0]
sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce[float64]
sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce_none[float64]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/_chunking.py:169: UserWarning: Could not adhere to working_memory config. Currently 0MiB, 1MiB required.
    warnings.warn(

sklearn/linear_model/tests/test_common.py: 1 warning
sklearn/linear_model/tests/test_passive_aggressive.py: 12 warnings
sklearn/tests/test_common.py: 2 warnings
sklearn/tests/test_multioutput.py: 1 warning
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_stochastic_gradient.py:1616: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
    warnings.warn(

sklearn/linear_model/tests/test_common.py: 1 warning
sklearn/linear_model/tests/test_logistic.py: 1 warning
sklearn/linear_model/tests/test_ridge.py: 18 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_sag.py:349: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
    warnings.warn(

sklearn/linear_model/tests/test_coordinate_descent.py::test_lasso_zero
sklearn/linear_model/tests/test_coordinate_descent.py::test_uniform_targets
sklearn/linear_model/tests/test_coordinate_descent.py::test_uniform_targets
sklearn/linear_model/tests/test_coordinate_descent.py::test_uniform_targets
sklearn/linear_model/tests/test_coordinate_descent.py::test_uniform_targets
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:697: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 0.000e+00, tolerance: 0.000e+00
    model = cd_fast.enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_nonfinite_params
  /usr/lib64/python3.13/site-packages/numpy/core/_methods.py:118: RuntimeWarning: overflow encountered in reduce
    ret = umr_sum(arr, axis, dtype, out, keepdims, where=where)

sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_nonfinite_params
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:697: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: nan, tolerance: 2.100e-04
    model = cd_fast.enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_nonfinite_params
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_base.py:320: RuntimeWarning: invalid value encountered in matmul
    intercept_ = y_offset - X_offset @ coef_

sklearn/linear_model/tests/test_coordinate_descent.py: 46 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-15, tolerance: 1.404036409324171e-15
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/linear_model/tests/test_coordinate_descent.py: 10 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3.552713678800501e-15, tolerance: 1.404036409324171e-15
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/linear_model/tests/test_coordinate_descent.py: 40 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-15, tolerance: 1.2858308696095571e-15
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3.552713678800501e-15, tolerance: 1.2858308696095571e-15
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/linear_model/tests/test_coordinate_descent.py: 46 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-15, tolerance: 1.4340335165128712e-15
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3.552713678800501e-15, tolerance: 1.4340335165128712e-15
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/linear_model/tests/test_coordinate_descent.py: 52 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-15, tolerance: 1.4257797990385122e-15
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/linear_model/tests/test_coordinate_descent.py: 40 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-15, tolerance: 1.3875425663975807e-15
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-15, tolerance: 1.404036409324171e-15
    model = cd_fast.sparse_enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3.552713678800501e-15, tolerance: 1.404036409324171e-15
    model = cd_fast.sparse_enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5.329070518200751e-15, tolerance: 1.404036409324171e-15
    model = cd_fast.sparse_enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4.796163466380676e-14, tolerance: 1.2858308696095571e-15
    model = cd_fast.sparse_enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.1368683772161603e-13, tolerance: 1.2858308696095571e-15
    model = cd_fast.sparse_enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.3855583347321954e-13, tolerance: 1.2858308696095571e-15
    model = cd_fast.sparse_enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5.329070518200751e-15, tolerance: 1.2858308696095571e-15
    model = cd_fast.sparse_enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3.552713678800501e-14, tolerance: 1.2858308696095571e-15
    model = cd_fast.sparse_enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-15, tolerance: 1.2858308696095571e-15
    model = cd_fast.sparse_enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6.394884621840902e-14, tolerance: 1.4340335165128712e-15
    model = cd_fast.sparse_enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.4210854715202004e-14, tolerance: 1.4340335165128712e-15
    model = cd_fast.sparse_enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4.085620730620576e-14, tolerance: 1.4340335165128712e-15
    model = cd_fast.sparse_enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-15, tolerance: 1.4340335165128712e-15
    model = cd_fast.sparse_enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3.552713678800501e-15, tolerance: 1.4340335165128712e-15
    model = cd_fast.sparse_enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6.750155989720952e-14, tolerance: 1.4340335165128712e-15
    model = cd_fast.sparse_enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5.329070518200751e-15, tolerance: 1.4340335165128712e-15
    model = cd_fast.sparse_enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.509903313490213e-13, tolerance: 1.4340335165128712e-15
    model = cd_fast.sparse_enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5.329070518200751e-15, tolerance: 1.4257797990385122e-15
    model = cd_fast.sparse_enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-15, tolerance: 1.4257797990385122e-15
    model = cd_fast.sparse_enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3.552713678800501e-15, tolerance: 1.4257797990385122e-15
    model = cd_fast.sparse_enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8.881784197001252e-15, tolerance: 1.4257797990385122e-15
    model = cd_fast.sparse_enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3.552713678800501e-15, tolerance: 1.3875425663975807e-15
    model = cd_fast.sparse_enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-15, tolerance: 1.3875425663975807e-15
    model = cd_fast.sparse_enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5.329070518200751e-15, tolerance: 1.3875425663975807e-15
    model = cd_fast.sparse_enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-ElasticNet-params4]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-ElasticNet-params4]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:697: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.553e-15, tolerance: 1.738e-15
    model = cd_fast.enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-ElasticNet-params5]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-ElasticNet-params5]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:697: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.519e+00, tolerance: 1.738e-15 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.
    model = cd_fast.enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-ElasticNet-params5]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-ElasticNet-params5]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8.519405806421231, tolerance: 1.7383268216560683e-15
    model = cd_fast.sparse_enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_lasso_alpha_warning
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:697: UserWarning: Coordinate descent with no regularization may lead to unexpected results and is discouraged.
    model = cd_fast.enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py: 60 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0, tolerance: 0.0
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/linear_model/tests/test_coordinate_descent.py: 20 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0, tolerance: 0.0
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/linear_model/tests/test_coordinate_descent.py::test_uniform_targets
sklearn/linear_model/tests/test_coordinate_descent.py::test_uniform_targets
sklearn/linear_model/tests/test_coordinate_descent.py::test_uniform_targets
sklearn/linear_model/tests/test_coordinate_descent.py::test_uniform_targets
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:2639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0, tolerance: 0.0
    ) = cd_fast.enet_coordinate_descent_multi_task(

sklearn/linear_model/tests/test_coordinate_descent.py::test_multitask_enet_and_lasso_cv
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:2639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 2.5515863893489326, tolerance: 2.1444555087788615
    ) = cd_fast.enet_coordinate_descent_multi_task(

sklearn/linear_model/tests/test_coordinate_descent.py::test_multitask_enet_and_lasso_cv
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:2639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 2.1730065816504345, tolerance: 2.1444555087788615
    ) = cd_fast.enet_coordinate_descent_multi_task(

sklearn/linear_model/tests/test_coordinate_descent.py::test_check_input_false
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:697: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.835e-07, tolerance: 1.896e-07
    model = cd_fast.enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_check_input_false
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:697: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.274e-06, tolerance: 1.416e-07
    model = cd_fast.enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_check_input_false
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:697: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.497e-06, tolerance: 1.972e-07
    model = cd_fast.enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_check_input_false
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:697: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.803e-06, tolerance: 1.723e-07
    model = cd_fast.enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_check_input_false
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:697: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.310e-07, tolerance: 1.633e-07
    model = cd_fast.enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_check_input_false
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:697: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.682e-07, tolerance: 2.232e-07
    model = cd_fast.enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_l1_ratio
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 62.449999999999996, tolerance: 0.013475
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_l1_ratio
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 56.96052631578949, tolerance: 0.013075
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_l1_ratio
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 61.26368421052631, tolerance: 0.0134
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_l1_ratio
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3.771904761904758, tolerance: 0.0029000000000000002
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_l1_ratio
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 25.586363636363632, tolerance: 0.0077
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_l1_ratio
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:697: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.309e+01, tolerance: 1.348e-02 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.
    model = cd_fast.enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_ridge_consistency[0.1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_ridge_consistency[1.0]
sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_ridge_consistency[1000000.0]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:697: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.757e+03, tolerance: 2.375e-08 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.
    model = cd_fast.enet_coordinate_descent(

sklearn/linear_model/tests/test_huber.py::test_huber_max_iter
sklearn/linear_model/tests/test_quantile.py::test_quantile_equals_huber_for_low_epsilon[True]
sklearn/linear_model/tests/test_quantile.py::test_quantile_equals_huber_for_low_epsilon[False]
sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[HuberRegressor()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_huber.py:342: ConvergenceWarning: lbfgs failed to converge (status=1):
  STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.
  
  Increase the number of iterations (max_iter) or scale the data as shown in:
      https://scikit-learn.org/stable/modules/preprocessing.html
    self.n_iter_ = _check_optimize_result("lbfgs", opt_res, self.max_iter)

sklearn/linear_model/tests/test_omp.py::test_unreachable_accuracy
sklearn/linear_model/tests/test_omp.py::test_unreachable_accuracy
sklearn/linear_model/tests/test_omp.py::test_omp_cv
sklearn/linear_model/tests/test_omp.py::test_omp_cv
sklearn/linear_model/tests/test_omp.py::test_omp_cv
sklearn/linear_model/tests/test_omp.py::test_omp_cv
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_omp.py:445: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met.
    out = _cholesky_omp(

sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized[wide-42-True-cholesky]
sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[wide-42-True-cholesky]
sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-True-cholesky]
sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-False-cholesky]
sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeClassifierCV-3]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:255: UserWarning: Singular matrix in solving dual problem. Using least-squares solution instead.
    warnings.warn(

sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_convergence_fail
  /usr/lib64/python3.13/site-packages/scipy/sparse/linalg/_isolve/iterative.py:378: RuntimeWarning: invalid value encountered in scalar divide
    alpha = rho_cur / dotprod(p, q)

sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:253: LinAlgWarning: Ill-conditioned matrix (rcond=5.74507e-17): result may not be accurate.
    dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False)

sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:253: LinAlgWarning: Ill-conditioned matrix (rcond=5.49293e-17): result may not be accurate.
    dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False)

sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:253: LinAlgWarning: Ill-conditioned matrix (rcond=3.15218e-17): result may not be accurate.
    dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False)

sklearn/linear_model/tests/test_ridge.py: 57 warnings
sklearn/model_selection/tests/test_search.py: 10 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_regression.py:1211: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
    warnings.warn(msg, UndefinedMetricWarning)

sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3]
sklearn/linear_model/tests/test_ridge.py::test_ridgecv_sample_weight
sklearn/linear_model/tests/test_ridge.py::test_ridgecv_sample_weight
sklearn/linear_model/tests/test_ridge.py::test_ridgecv_sample_weight
sklearn/linear_model/tests/test_ridge.py::test_ridgecv_sample_weight
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:1103: UserWarning: One or more of the test scores are non-finite: [nan nan nan]
    warnings.warn(

sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:216: LinAlgWarning: Ill-conditioned matrix (rcond=4.53866e-18): result may not be accurate.
    return linalg.solve(A, Xy, assume_a="pos", overwrite_a=True).T

sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeClassifierCV-3]
sklearn/model_selection/tests/test_search.py::test_search_with_2d_array
sklearn/tests/test_common.py::test_class_weight_balanced_linear_classifiers[LogisticRegressionCV-LogisticRegressionCV]
sklearn/tests/test_common.py::test_class_weight_balanced_linear_classifiers[LogisticRegressionCV-LogisticRegressionCV]
sklearn/tests/test_common.py::test_class_weight_balanced_linear_classifiers[RidgeClassifierCV-RidgeClassifierCV]
sklearn/tests/test_common.py::test_class_weight_balanced_linear_classifiers[RidgeClassifierCV-RidgeClassifierCV]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:776: UserWarning: The least populated class in y has only 2 members, which is less than n_splits=3.
    warnings.warn(

sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeClassifierCV-3]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:253: LinAlgWarning: Ill-conditioned matrix (rcond=7.76968e-17): result may not be accurate.
    dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False)

sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeClassifierCV-3]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:253: LinAlgWarning: Ill-conditioned matrix (rcond=2.38404e-17): result may not be accurate.
    dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False)

sklearn/linear_model/tests/test_ridge.py::test_lbfgs_solver_consistency[0.001]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:359: ConvergenceWarning: The lbfgs solver did not converge. Try increasing max_iter or tol. Currently: max_iter=500000 and tol=1e-16
    warnings.warn(

sklearn/linear_model/tests/test_sparse_coordinate_descent.py::test_lasso_zero[csc_matrix]
sklearn/linear_model/tests/test_sparse_coordinate_descent.py::test_lasso_zero[csc_array]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0, tolerance: 0.0
    model = cd_fast.sparse_enet_coordinate_descent(

sklearn/manifold/tests/test_isomap.py::test_transform[float64-2-None]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/manifold/_isomap.py:383: UserWarning: The number of connected components of the neighbors graph is 15 > 1. Completing the graph to fit Isomap might be slow. Increase the number of neighbors to avoid this issue.
    self._fit_transform(X)

sklearn/manifold/tests/test_isomap.py: 133 warnings
sklearn/tests/test_common.py: 20 warnings
sklearn/utils/tests/test_graph.py: 4 warnings
sklearn/utils/tests/test_validation.py: 16 warnings
  /usr/lib64/python3.13/site-packages/scipy/sparse/_index.py:108: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil and dok are more efficient.
    self._set_intXint(row, col, x.flat[0])

sklearn/manifold/tests/test_isomap.py::test_pipeline[float64-2-None]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/manifold/_isomap.py:383: UserWarning: The number of connected components of the neighbors graph is 7 > 1. Completing the graph to fit Isomap might be slow. Increase the number of neighbors to avoid this issue.
    self._fit_transform(X)

sklearn/manifold/tests/test_isomap.py::test_get_feature_names_out
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/manifold/_isomap.py:383: UserWarning: The number of connected components of the neighbors graph is 3 > 1. Completing the graph to fit Isomap might be slow. Increase the number of neighbors to avoid this issue.
    self._fit_transform(X)

sklearn/metrics/tests/test_classification.py::test_classification_report_output_dict_empty_input
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.
    _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))

sklearn/metrics/tests/test_classification.py::test_classification_report_output_dict_empty_input
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
    _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))

sklearn/metrics/tests/test_classification.py::test_classification_report_output_dict_empty_input
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 due to no true nor predicted samples. Use `zero_division` parameter to control this behavior.
    _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))

sklearn/metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False]
sklearn/metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False]
sklearn/metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.
    _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))

sklearn/metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False]
sklearn/metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False]
sklearn/metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
    _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))

sklearn/metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False]
sklearn/metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False]
sklearn/metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no true nor predicted samples. Use `zero_division` parameter to control this behavior.
    _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))

sklearn/metrics/tests/test_classification.py::test_likelihood_ratios_warnings[params0-samples of only one class were seen during testing]
sklearn/metrics/tests/test_classification.py::test_matthews_corrcoef
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
    warnings.warn(

sklearn/metrics/tests/test_classification.py::test_likelihood_ratios_warnings[params4-no samples of the positive class were present in the testing set]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:2025: RuntimeWarning: invalid value encountered in scalar divide
    positive_likelihood_ratio = pos_num / pos_denom

sklearn/metrics/tests/test_classification.py::test_likelihood_ratios_warnings[params4-no samples of the positive class were present in the testing set]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:2032: RuntimeWarning: invalid value encountered in scalar divide
    negative_likelihood_ratio = neg_num / neg_denom

sklearn/metrics/tests/test_classification.py::test_likelihood_ratios
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/_param_validation.py:213: UserWarning: positive_likelihood_ratio ill-defined and being set to nan 
    return func(*args, **kwargs)

sklearn/metrics/tests/test_classification.py::test_balanced_accuracy_score[y_true2-y_pred2]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:2480: UserWarning: y_pred contains classes not in y_true
    warnings.warn("y_pred contains classes not in y_true")

sklearn/metrics/tests/test_classification.py::test_classification_metric_pos_label_types[classes3-precision_recall_fscore_support]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1583: UserWarning: Note that pos_label (set to 'one') is ignored when average != 'binary' (got None). You may use labels=[pos_label] to specify a single positive class.
    warnings.warn(

sklearn/metrics/tests/test_common.py: 301 warnings
sklearn/tests/test_common.py: 28 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/_array_api.py:390: RuntimeWarning: invalid value encountered in cast
    return x.astype(dtype, copy=copy, casting=casting)

sklearn/metrics/tests/test_common.py::test_normalize_option_binary_classification[top_k_accuracy_score]
sklearn/metrics/tests/test_common.py::test_normalize_option_binary_classification[top_k_accuracy_score]
sklearn/metrics/tests/test_ranking.py::test_top_k_accuracy_score_binary[y_score2-2-1]
sklearn/metrics/tests/test_ranking.py::test_top_k_accuracy_score_binary[y_score5-2-1]
sklearn/metrics/tests/test_score_objects.py::test_classification_binary_scores[top_k_accuracy-top_k_accuracy_score]
sklearn/metrics/tests/test_score_objects.py::test_classification_binary_scores[top_k_accuracy-top_k_accuracy_score]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_ranking.py:2025: UndefinedMetricWarning: 'k' (2) greater than or equal to 'n_classes' (2) will result in a perfect score and is therefore meaningless.
    warnings.warn(

sklearn/metrics/tests/test_common.py: 25 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in samples with no predicted labels. Use `zero_division` parameter to control this behavior.
    _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))

sklearn/metrics/tests/test_ranking.py::test_precision_recall_curve_drop_intermediate
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_ranking.py:1030: UserWarning: No positive class found in y_true, recall is set to one for all thresholds.
    warnings.warn(

sklearn/metrics/tests/test_regression.py::test_multioutput_regression
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/tests/test_regression.py:174: RuntimeWarning: invalid value encountered in scalar divide
    - np.abs(y_true[:, i] - y_pred[:, i]).sum()

sklearn/metrics/tests/test_regression.py::test_multioutput_regression
sklearn/metrics/tests/test_regression.py::test_multioutput_regression
sklearn/metrics/tests/test_regression.py::test_multioutput_regression
sklearn/metrics/tests/test_regression.py::test_regression_metrics_at_limits
sklearn/metrics/tests/test_regression.py::test_regression_metrics_at_limits
sklearn/metrics/tests/test_regression.py::test_regression_multioutput_array
sklearn/metrics/tests/test_regression.py::test_regression_multioutput_array
sklearn/metrics/tests/test_regression.py::test_regression_multioutput_array
sklearn/metrics/tests/test_regression.py::test_regression_multioutput_array
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_regression.py:876: RuntimeWarning: invalid value encountered in divide
    output_scores = 1 - (numerator / denominator)

sklearn/metrics/tests/test_regression.py::test_multioutput_regression
sklearn/metrics/tests/test_regression.py::test_regression_metrics_at_limits
sklearn/metrics/tests/test_regression.py::test_regression_metrics_at_limits
sklearn/metrics/tests/test_regression.py::test_regression_multioutput_array
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_regression.py:876: RuntimeWarning: divide by zero encountered in divide
    output_scores = 1 - (numerator / denominator)

sklearn/mixture/tests/test_bayesian_mixture.py: 349 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/mixture/_bayesian_mixture.py:812: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)
    log_wishart = self.n_components * np.float64(

sklearn/mixture/tests/test_gaussian_mixture.py::test_regularisation
sklearn/mixture/tests/test_gaussian_mixture.py::test_regularisation
sklearn/mixture/tests/test_gaussian_mixture.py::test_regularisation
sklearn/mixture/tests/test_gaussian_mixture.py::test_regularisation
sklearn/mixture/tests/test_gaussian_mixture.py::test_regularisation
sklearn/mixture/tests/test_gaussian_mixture.py::test_regularisation
sklearn/mixture/tests/test_gaussian_mixture.py::test_regularisation
sklearn/mixture/tests/test_gaussian_mixture.py::test_regularisation
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/base.py:1473: ConvergenceWarning: Number of distinct clusters (2) found smaller than n_clusters (10). Possibly due to duplicate points in X.
    return fit_method(estimator, *args, **kwargs)

sklearn/mixture/tests/test_gaussian_mixture.py::test_gaussian_mixture_setting_best_params
sklearn/mixture/tests/test_mixture.py::test_gaussian_mixture_n_iter[estimator0]
sklearn/mixture/tests/test_mixture.py::test_gaussian_mixture_n_iter[estimator1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/mixture/_base.py:270: ConvergenceWarning: Best performing initialization did not converge. Try different init parameters, or increase max_iter, tol, or check for degenerate data.
    warnings.warn(

sklearn/model_selection/tests/test_search.py::test_SearchCV_with_fit_params[RandomizedSearchCV]
sklearn/model_selection/tests/test_search.py::test_SearchCV_with_fit_params[RandomizedSearchCV]
sklearn/model_selection/tests/test_search.py::test_SearchCV_with_fit_params[RandomizedSearchCV]
sklearn/model_selection/tests/test_search.py::test_empty_cv_iterator_error
sklearn/model_selection/tests/test_search.py::test_random_search_bad_cv
sklearn/model_selection/tests/test_search.py::test_inverse_transform_Xt_deprecation[RandomizedSearchCV]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:320: UserWarning: The total space of parameters 3 is smaller than n_iter=10. Running 3 iterations. For exhaustive searches, use GridSearchCV.
    warnings.warn(

sklearn/model_selection/tests/test_search.py: 4 warnings
sklearn/model_selection/tests/test_successive_halving.py: 1 warning
sklearn/tests/test_metaestimators_metadata_routing.py: 6 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:320: UserWarning: The total space of parameters 2 is smaller than n_iter=10. Running 2 iterations. For exhaustive searches, use GridSearchCV.
    warnings.warn(

sklearn/model_selection/tests/test_search.py::test_random_search_cv_results_multimetric
sklearn/model_selection/tests/test_search.py::test_random_search_cv_results_multimetric
sklearn/model_selection/tests/test_search.py::test_random_search_cv_results_multimetric
sklearn/model_selection/tests/test_search.py::test_random_search_cv_results_multimetric
sklearn/model_selection/tests/test_search.py::test_random_search_cv_results_multimetric
sklearn/model_selection/tests/test_search.py::test_random_search_cv_results_multimetric
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:320: UserWarning: The total space of parameters 9 is smaller than n_iter=30. Running 9 iterations. For exhaustive searches, use GridSearchCV.
    warnings.warn(

sklearn/model_selection/tests/test_search.py::test_search_cv_results_none_param
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:1103: UserWarning: One or more of the test scores are non-finite: [nan nan]
    warnings.warn(

sklearn/model_selection/tests/test_search.py::test_grid_search_failing_classifier
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:1103: UserWarning: One or more of the test scores are non-finite: [0.5 0.5 nan]
    warnings.warn(

sklearn/model_selection/tests/test_search.py: 1 warning
sklearn/model_selection/tests/test_validation.py: 15 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_stochastic_gradient.py:1387: RuntimeWarning: divide by zero encountered in log
    return np.log(self.predict_proba(X))

sklearn/model_selection/tests/test_search.py::test_custom_run_search
  /usr/lib64/python3.13/site-packages/numpy/ma/core.py:2820: RuntimeWarning: invalid value encountered in cast
    _data = np.array(data, dtype=dtype, copy=copy,

sklearn/model_selection/tests/test_search.py::test_search_estimator_param[RandomizedSearchCV-param_distributions]
sklearn/model_selection/tests/test_search.py::test_multi_metric_search_forwards_metadata[RandomizedSearchCV-param_distributions]
sklearn/model_selection/tests/test_search.py::test_score_rejects_params_with_no_routing_enabled[RandomizedSearchCV-param_distributions]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:320: UserWarning: The total space of parameters 1 is smaller than n_iter=10. Running 1 iterations. For exhaustive searches, use GridSearchCV.
    warnings.warn(

sklearn/model_selection/tests/test_split.py: 14 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:776: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=4.
    warnings.warn(

sklearn/model_selection/tests/test_split.py: 14 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:776: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=6.
    warnings.warn(

sklearn/model_selection/tests/test_split.py: 14 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:776: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=7.
    warnings.warn(

sklearn/model_selection/tests/test_split.py: 14 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:994: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=4.
    warnings.warn(

sklearn/model_selection/tests/test_split.py: 14 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:994: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=6.
    warnings.warn(

sklearn/model_selection/tests/test_split.py: 14 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:994: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=7.
    warnings.warn(

sklearn/model_selection/tests/test_successive_halving.py::test_input_errors[params1-Cannot use parameter a as the resource since it is part of-HalvingRandomSearchCV]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:320: UserWarning: The total space of parameters 1 is smaller than n_iter=100. Running 1 iterations. For exhaustive searches, use GridSearchCV.
    warnings.warn(

sklearn/model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]
sklearn/model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]
sklearn/model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]
sklearn/model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:320: UserWarning: The total space of parameters 1 is smaller than n_iter=4. Running 1 iterations. For exhaustive searches, use GridSearchCV.
    warnings.warn(

sklearn/model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]
sklearn/model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]
sklearn/model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:320: UserWarning: The total space of parameters 1 is smaller than n_iter=2. Running 1 iterations. For exhaustive searches, use GridSearchCV.
    warnings.warn(

sklearn/model_selection/tests/test_validation.py: 124 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:848: UserWarning: The groups parameter is ignored by StratifiedKFold
    warnings.warn(

sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_decision_function_shape
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py:1415: RuntimeWarning: Number of classes in training fold (1) does not match total number of classes (2). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds
    warnings.warn(

sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_decision_function_shape
sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_class_subset
sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_class_subset
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py:1415: RuntimeWarning: Number of classes in training fold (7) does not match total number of classes (10). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds
    warnings.warn(

sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_unbalanced
sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_unbalanced
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:776: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=2.
    warnings.warn(

sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_unbalanced
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py:1415: RuntimeWarning: Number of classes in training fold (2) does not match total number of classes (3). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds
    warnings.warn(

sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_class_subset
sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_class_subset
sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_class_subset
sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_class_subset
sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_class_subset
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py:1415: RuntimeWarning: Number of classes in training fold (8) does not match total number of classes (10). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds
    warnings.warn(

sklearn/model_selection/tests/test_validation.py::test_fit_and_score_working
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py:982: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
  Traceback (most recent call last):
    File "/builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py", line 971, in _score
      scores = scorer(estimator, X_test, y_test, **score_params)
  TypeError: 'dict' object is not callable
  
    warnings.warn(

sklearn/neighbors/tests/test_lof.py::test_n_neighbors_attribute
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_lof.py:283: UserWarning: n_neighbors (500) is greater than the total number of samples (150). n_neighbors will be set to (n_samples - 1) for estimation.
    warnings.warn(

sklearn/neighbors/tests/test_lof.py::test_hasattr_prediction
sklearn/neighbors/tests/test_lof.py::test_hasattr_prediction
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_lof.py:283: UserWarning: n_neighbors (20) is greater than the total number of samples (3). n_neighbors will be set to (n_samples - 1) for estimation.
    warnings.warn(

sklearn/neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_estimators_nan_inf]
sklearn/neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_estimators_nan_inf]
sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LocalOutlierFactor()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_lof.py:283: UserWarning: n_neighbors (20) is greater than the total number of samples (10). n_neighbors will be set to (n_samples - 1) for estimation.
    warnings.warn(

sklearn/neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_classifier_data_not_an_array]
sklearn/neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_classifier_data_not_an_array]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_lof.py:283: UserWarning: n_neighbors (20) is greater than the total number of samples (12). n_neighbors will be set to (n_samples - 1) for estimation.
    warnings.warn(

sklearn/neighbors/tests/test_neighbors.py: 184 warnings
sklearn/tests/test_common.py: 47 warnings
  /usr/lib64/python3.13/site-packages/numpy/core/numeric.py:407: RuntimeWarning: invalid value encountered in cast
    multiarray.copyto(res, fill_value, casting='unsafe')

sklearn/neighbors/tests/test_neighbors.py: 12 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_classification.py:829: RuntimeWarning: invalid value encountered in divide
    proba_k /= normalizer

sklearn/neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_matrix-KNeighborsClassifier]
sklearn/neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_matrix-RadiusNeighborsClassifier]
sklearn/neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_matrix-KNeighborsRegressor]
sklearn/neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_matrix-RadiusNeighborsRegressor]
sklearn/neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_array-KNeighborsClassifier]
sklearn/neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_array-RadiusNeighborsClassifier]
sklearn/neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_array-KNeighborsRegressor]
sklearn/neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_array-RadiusNeighborsRegressor]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_base.py:583: UserWarning: cannot use tree with sparse input: using brute force
    warnings.warn("cannot use tree with sparse input: using brute force")

sklearn/neighbors/tests/test_neighbors.py: 11 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_unsupervised.py:176: SyntaxWarning: Parameter p is found in metric_params. The corresponding parameter from __init__ is ignored.
    return self._fit(X)

sklearn/neighbors/tests/test_neighbors.py::test_valid_brute_metric_for_auto_algorithm[float64-csr_matrix-yule]
sklearn/neighbors/tests/test_neighbors.py::test_valid_brute_metric_for_auto_algorithm[float64-csr_array-yule]
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-yule]
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-yule]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/pairwise.py:2361: DataConversionWarning: Data was converted to boolean for metric yule
    warnings.warn(msg, DataConversionWarning)

sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_predict_proba
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_predict_proba
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_classification.py:819: UserWarning: Outlier label -1 is not in training classes. All class probabilities of outliers will be assigned with 0.
    warnings.warn(

sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-dice]
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-dice]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/pairwise.py:2361: DataConversionWarning: Data was converted to boolean for metric dice
    warnings.warn(msg, DataConversionWarning)

sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-jaccard]
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-jaccard]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/pairwise.py:2361: DataConversionWarning: Data was converted to boolean for metric jaccard
    warnings.warn(msg, DataConversionWarning)

sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-rogerstanimoto]
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-rogerstanimoto]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/pairwise.py:2361: DataConversionWarning: Data was converted to boolean for metric rogerstanimoto
    warnings.warn(msg, DataConversionWarning)

sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-russellrao]
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-russellrao]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/pairwise.py:2361: DataConversionWarning: Data was converted to boolean for metric russellrao
    warnings.warn(msg, DataConversionWarning)

sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-sokalmichener]
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-sokalmichener]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/pairwise.py:2361: DataConversionWarning: Data was converted to boolean for metric sokalmichener
    warnings.warn(msg, DataConversionWarning)

sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-sokalsneath]
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-sokalsneath]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/pairwise.py:2361: DataConversionWarning: Data was converted to boolean for metric sokalsneath
    warnings.warn(msg, DataConversionWarning)

sklearn/neighbors/tests/test_neighbors.py::test_nearest_neighbours_works_with_p_less_than_1
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_base.py:653: UserWarning: Mind that for 0 < p < 1, Minkowski metrics are not distance metrics. Continuing the execution with `algorithm='brute'`.
    warnings.warn(

sklearn/neighbors/tests/test_neighbors_pipeline.py::test_spectral_clustering
sklearn/neighbors/tests/test_neighbors_pipeline.py::test_spectral_embedding
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/manifold/_spectral_embedding.py:310: UserWarning: Array is not symmetric, and will be converted to symmetric by average with its transpose.
    adjacency = check_symmetric(adjacency)

sklearn/neural_network/tests/test_mlp.py: 11 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neural_network/_multilayer_perceptron.py:545: ConvergenceWarning: lbfgs failed to converge (status=1):
  STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.
  
  Increase the number of iterations (max_iter) or scale the data as shown in:
      https://scikit-learn.org/stable/modules/preprocessing.html
    self.n_iter_ = _check_optimize_result("lbfgs", opt_res, self.max_iter)

sklearn/neural_network/tests/test_mlp.py::test_nonfinite_params
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neural_network/_base.py:172: RuntimeWarning: overflow encountered in square
    return ((y_true - y_pred) ** 2).mean() / 2

sklearn/neural_network/tests/test_mlp.py::test_nonfinite_params
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/extmath.py:205: RuntimeWarning: overflow encountered in matmul
    ret = a @ b

sklearn/neural_network/tests/test_mlp.py::test_nonfinite_params
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neural_network/_stochastic_optimizers.py:275: RuntimeWarning: overflow encountered in square
    self.beta_2 * v + (1 - self.beta_2) * (grad**2)

sklearn/neural_network/tests/test_mlp.py::test_nonfinite_params
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neural_network/_stochastic_optimizers.py:284: RuntimeWarning: invalid value encountered in divide
    -self.learning_rate * m / (np.sqrt(v) + self.epsilon)

sklearn/neural_network/tests/test_mlp.py::test_shuffle
sklearn/neural_network/tests/test_mlp.py::test_shuffle
sklearn/neural_network/tests/test_mlp.py::test_shuffle
sklearn/neural_network/tests/test_mlp.py::test_shuffle
sklearn/neural_network/tests/test_mlp.py::test_shuffle
sklearn/neural_network/tests/test_mlp.py::test_shuffle
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neural_network/_multilayer_perceptron.py:690: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (1) reached and the optimization hasn't converged yet.
    warnings.warn(

sklearn/neural_network/tests/test_mlp.py::test_warm_start_full_iteration[MLPClassifier]
sklearn/neural_network/tests/test_mlp.py::test_warm_start_full_iteration[MLPClassifier]
sklearn/neural_network/tests/test_mlp.py::test_warm_start_full_iteration[MLPRegressor]
sklearn/neural_network/tests/test_mlp.py::test_warm_start_full_iteration[MLPRegressor]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neural_network/_multilayer_perceptron.py:690: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (3) reached and the optimization hasn't converged yet.
    warnings.warn(

sklearn/neural_network/tests/test_mlp.py::test_mlp_classifier_dtypes_casting
sklearn/neural_network/tests/test_mlp.py::test_mlp_classifier_dtypes_casting
sklearn/neural_network/tests/test_mlp.py::test_mlp_regressor_dtypes_casting
sklearn/neural_network/tests/test_mlp.py::test_mlp_regressor_dtypes_casting
sklearn/neural_network/tests/test_mlp.py::test_mlp_param_dtypes[MLPClassifier-float32]
sklearn/neural_network/tests/test_mlp.py::test_mlp_param_dtypes[MLPClassifier-float64]
sklearn/neural_network/tests/test_mlp.py::test_mlp_param_dtypes[MLPRegressor-float32]
sklearn/neural_network/tests/test_mlp.py::test_mlp_param_dtypes[MLPRegressor-float64]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neural_network/_multilayer_perceptron.py:690: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
    warnings.warn(

sklearn/neural_network/tests/test_mlp.py::test_mlp_warm_start_with_early_stopping[MLPClassifier]
sklearn/neural_network/tests/test_mlp.py::test_mlp_warm_start_with_early_stopping[MLPRegressor]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neural_network/_multilayer_perceptron.py:690: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (10) reached and the optimization hasn't converged yet.
    warnings.warn(

sklearn/neural_network/tests/test_mlp.py::test_mlp_warm_start_with_early_stopping[MLPRegressor]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neural_network/_multilayer_perceptron.py:690: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (20) reached and the optimization hasn't converged yet.
    warnings.warn(

sklearn/preprocessing/tests/test_common.py::test_missing_value_handling[est0-maxabs_scale-True-False-omit_kwargs0]
sklearn/preprocessing/tests/test_common.py::test_missing_value_handling[est0-maxabs_scale-True-False-omit_kwargs0]
sklearn/preprocessing/tests/test_common.py::test_missing_value_handling[est3-scale-True-False-omit_kwargs3]
sklearn/preprocessing/tests/test_common.py::test_missing_value_handling[est3-scale-True-False-omit_kwargs3]
sklearn/preprocessing/tests/test_common.py::test_missing_value_handling[est6-quantile_transform-True-False-omit_kwargs6]
sklearn/preprocessing/tests/test_common.py::test_missing_value_handling[est6-quantile_transform-True-False-omit_kwargs6]
sklearn/preprocessing/tests/test_common.py::test_missing_value_handling[est8-robust_scale-True-False-omit_kwargs8]
sklearn/preprocessing/tests/test_common.py::test_missing_value_handling[est8-robust_scale-True-False-omit_kwargs8]
  /usr/lib64/python3.13/site-packages/scipy/sparse/_dia.py:75: SparseEfficiencyWarning: Constructing a DIA matrix with 115 diagonals is inefficient
    A = self._coo_container(arg1, dtype=dtype, shape=shape).todia()

sklearn/preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]
sklearn/preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/extmath.py:1137: RuntimeWarning: invalid value encountered in divide
    updated_mean = (last_sum + new_sum) / updated_sample_count

sklearn/preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]
sklearn/preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/extmath.py:1142: RuntimeWarning: invalid value encountered in divide
    T = new_sum / new_sample_count

sklearn/preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]
sklearn/preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/extmath.py:1162: RuntimeWarning: invalid value encountered in divide
    new_unnormalized_variance -= correction**2 / new_sample_count

sklearn/preprocessing/tests/test_data.py::test_quantile_transform_and_inverse
sklearn/preprocessing/tests/test_data.py::test_one_to_one_features[QuantileTransformer]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2785: UserWarning: n_quantiles (1000) is greater than the total number of samples (150). n_quantiles is set to n_samples.
    warnings.warn(

sklearn/preprocessing/tests/test_data.py::test_quantile_transform_and_inverse
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2785: UserWarning: n_quantiles (1000) is greater than the total number of samples (7). n_quantiles is set to n_samples.
    warnings.warn(

sklearn/preprocessing/tests/test_data.py::test_quantile_transform_nan
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2785: UserWarning: n_quantiles (10) is greater than the total number of samples (3). n_quantiles is set to n_samples.
    warnings.warn(

sklearn/preprocessing/tests/test_data.py::test_quantile_transform_nan
  /usr/lib64/python3.13/site-packages/numpy/lib/nanfunctions.py:1563: RuntimeWarning: All-NaN slice encountered
    return function_base._ureduce(a,

sklearn/preprocessing/tests/test_discretization.py::test_fit_transform[quantile-expected5-sample_weight5]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_discretization.py:307: UserWarning: Bins whose width are too small (i.e., <= 1e-8) in feature 0 are removed. Consider decreasing the number of bins.
    warnings.warn(

sklearn/preprocessing/tests/test_discretization.py::test_fit_transform[quantile-expected5-sample_weight5]
sklearn/preprocessing/tests/test_discretization.py::test_fit_transform_n_bins_array[quantile-expected4-sample_weight4]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_discretization.py:307: UserWarning: Bins whose width are too small (i.e., <= 1e-8) in feature 1 are removed. Consider decreasing the number of bins.
    warnings.warn(

sklearn/preprocessing/tests/test_discretization.py::test_fit_transform[quantile-expected5-sample_weight5]
sklearn/preprocessing/tests/test_discretization.py::test_fit_transform_n_bins_array[quantile-expected4-sample_weight4]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_discretization.py:307: UserWarning: Bins whose width are too small (i.e., <= 1e-8) in feature 2 are removed. Consider decreasing the number of bins.
    warnings.warn(

sklearn/preprocessing/tests/test_discretization.py::test_fit_transform[quantile-expected5-sample_weight5]
sklearn/preprocessing/tests/test_discretization.py::test_fit_transform_n_bins_array[quantile-expected4-sample_weight4]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_discretization.py:307: UserWarning: Bins whose width are too small (i.e., <= 1e-8) in feature 3 are removed. Consider decreasing the number of bins.
    warnings.warn(

sklearn/preprocessing/tests/test_discretization.py::test_redundant_bins[kmeans-expected_bin_edges1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/base.py:1473: ConvergenceWarning: Number of distinct clusters (2) found smaller than n_clusters (3). Possibly due to duplicate points in X.
    return fit_method(estimator, *args, **kwargs)

sklearn/svm/tests/test_svm.py::test_svc_nonfinite_params
  /usr/lib64/python3.13/site-packages/numpy/core/_methods.py:152: RuntimeWarning: overflow encountered in reduce
    arrmean = umr_sum(arr, axis, dtype, keepdims=True, where=where)

sklearn/tests/test_calibration.py::test_calibration_less_classes[False]
sklearn/tests/test_calibration.py::test_calibration_less_classes[False]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py:1415: RuntimeWarning: Number of classes in training fold (3) does not match total number of classes (4). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds
    warnings.warn(

sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_classifiers_one_label_sample_weights]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/naive_bayes.py:509: RuntimeWarning: divide by zero encountered in log
    jointi = np.log(self.class_prior_[i])

sklearn/tests/test_common.py: 22 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/_bicluster.py:31: RuntimeWarning: divide by zero encountered in divide
    row_diag = np.asarray(1.0 / np.sqrt(X.sum(axis=1))).squeeze()

sklearn/tests/test_common.py::test_estimators[SpectralCoclustering()-check_estimator_sparse_array]
sklearn/tests/test_common.py::test_estimators[SpectralCoclustering()-check_estimator_sparse_matrix]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/_bicluster.py:352: RuntimeWarning: invalid value encountered in multiply
    z = np.vstack((row_diag[:, np.newaxis] * u, col_diag[:, np.newaxis] * v))

sklearn/tests/test_common.py: 12 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_pca.py:591: RuntimeWarning: invalid value encountered in divide
    explained_variance_ = (S**2) / (n_samples - 1)

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[AffinityPropagation()]
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[AffinityPropagation()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/_affinity_propagation.py:142: ConvergenceWarning: Affinity propagation did not converge, this model may return degenerate cluster centers and labels.
    warnings.warn(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006076933278711394, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006516772094172785, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006916869207380105, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007282278233892714, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007609219502499598, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007894792377665105, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008136999927896293, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008334724343001254, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008487677112926362, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008596329247330392, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008661826900740188, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008685897580833768, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008670751690550982, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008618983558488225, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008533475420066938, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008417307081676206, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008273673282850058, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008105810103069544, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007916931166842556, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007710173895054406, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007488555642593542, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007254939244657893, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007012007266836845, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006762244102443971, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006507924977423307, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006251110892016298, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005993648542923224, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.000573717431366208, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005483121488579767, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005232729927329149, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0004987057525282779, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00047469928764087843, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00045132686442816983, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0004286475231062431, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00040670744120242797, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00038554126732254224, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00036517340516263597, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04035513072498276, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.07739310570162417, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09902515325135752, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11518341998168946, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.12984038092936423, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.14436772132100018, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.15920990630835696, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.17448303501279838, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1901827276425827, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.20625795624130117, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2226385936816211, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.23924660775340545, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2560012831407956, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2728221436888427, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.28963089256407315, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.30635284588907385, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.32291803203492986, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.3392620214470927, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.3553265168901172, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.37105972538395093, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.3864165333921279, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.40135850928135675, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.41585375917952927, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.42987666328297625, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.44340751929656674, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.45643211820952656, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.4689412752939113, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.4809303363707218, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.4923986762820167, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.503349203366946, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5137878807314613, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5237232723444034, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5331661195590032, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.54212895158035, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5506257316837715, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.558671539615125, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5662822895502897, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5734744822045696, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5802649891424863, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5866708669860099, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.592709199023993, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5983969616552383, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.603750913115134, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6087875020228135, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6135227934125118, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6179724100828419, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6221514872568856, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6260746387433431, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6297559329633957, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6332088773749005, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6364464100053722, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6394808969441232, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6423241347969255, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.644987357221066, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6474812447868823, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.64981593750767, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6520010494686517, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6540456850782026, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0033973144978034497, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.020048838110544587, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.025541531207328383, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.028894092102574653, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03192449250641349, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0349068365547236, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03787122654345687, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04080995267698562, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043710267541955616, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.046559814558000845, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04934758250131832, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.052064076109124, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.054701322163716704, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.057252822572108286, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.059713479152287086, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06207949934545898, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0643482889172553, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.07263247515648175, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.07717723067374127, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0802014319595461, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.08276447207213078, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.08511690453330356, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.08732063451583283, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.08939355028012663, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0913433805075119, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0931756530373784, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09489553166001752, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0965081945647075, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09801886862586873, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0994327886397528, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10075514665167251, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10199104663134584, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10314546740941744, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10422323372885423, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10522899453686119, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10616720751842923, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1070421289093968, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10785780770905884, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1086180835053634, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10932658722157296, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10998674418411447, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11060177899430634, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1111747217675969, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11170841537178866, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11220552335908529, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11266853833876844, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11309979058942154, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11350145674608214, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11387556843076041, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11422402073448534, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11454858046347915, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11485089410789584, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11513249548141413, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1153948130151976, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11563917668651236, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1158668245784078, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11607890906677021, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11627650264667366, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11646060339762698, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11663214011167433, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11679197708427758, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11694091859795108, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11707971309887277, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11720905709774776, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11732959880195537, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11744194149361409, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11754664667898052, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11764423701279192, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11773519902097451, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[FastICA()]
sklearn/tests/test_common.py::test_transformers_get_feature_names_out[FastICA()]
sklearn/tests/test_common.py::test_set_output_transform[FastICA()]
sklearn/tests/test_common.py::test_set_output_transform[FastICA()]
sklearn/tests/test_common.py::test_set_output_transform[FastICA()]
sklearn/tests/test_common.py::test_set_output_transform[FastICA()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_fastica.py:128: ConvergenceWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations.
    warnings.warn(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[GammaRegressor()]
sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[PoissonRegressor()]
sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[TweedieRegressor()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_glm/glm.py:283: ConvergenceWarning: lbfgs failed to converge (status=1):
  STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.
  
  Increase the number of iterations (max_iter) or scale the data as shown in:
      https://scikit-learn.org/stable/modules/preprocessing.html
    self.n_iter_ = _check_optimize_result("lbfgs", opt_res)

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LabelSpreading()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/semi_supervised/_label_propagation.py:322: ConvergenceWarning: max_iter=5 was reached without convergence.
    warnings.warn(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0018789191204372502, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0018738259168485927, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.001835132131910222, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0017874547248064032, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0017331374953174494, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.001673914217037803, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0016112314182015197, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0015462927558095863, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0014800943557791435, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0014134552651259291, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0013470437067325258, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0012813996993945032, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0012169545310703744, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0011540475087365998, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0010929403521542924, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0010338295502065886, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00097685695612304, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0009221188612078685, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008696737548023747, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008195489504607967, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007717462343126008, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.000726246670740241, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006830146822999761, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006420015051591121, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00060314810767928, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005663876478957941, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005316475354097683, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0004988511543345953, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0004679192961513645, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0004387713447080305, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00041132624976733534, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0003855033204897551, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0003612228658931016, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.004986280909062835, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0964362176232898, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.17609508623852843, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.22927967012756056, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.262131329569705, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2813474763012547, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2917567382863764, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2965432830629915, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.29775015112091285, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.29667913573793214, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2941616541072918, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2907328896963026, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.28674142724289364, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.28241768588104676, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2779165329444746, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.27334386438728764, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2687732692374647, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.26425656719773727, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.25983055466559346, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2555213948761548, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.25134753429687695, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2473216878636597, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2434522277674409, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2397441832966578, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.23619998135851095, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2328200095220767, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.22960305400872016, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.22654664684813497, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.22364734505302764, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2209009574961449, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.21830273058076433, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2158475007980467, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.213529820261547, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2113440599327987, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.20928449427629214, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.20734537036978562, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2055209639571398, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2038056245148967, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.20219381106945544, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.20068012023261428, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.199259307701543, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19792630428050284, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19667622732887846, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19550438839847217, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1944062977233214, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1933776661101625, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1924144047140386, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19151262309234252, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19066862588675537, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18987890841750943, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1891401514373543, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18844921524541824, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1878031333402177, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18719910574794607, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1866344921505263, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18610680490921006, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18561370206666084, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18515298039027073, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1847225685128775, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.184320520210135, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18394500785142043, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1835943160421074, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03984268428484139, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.058510814772174236, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06513631356301985, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06742419289123358, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06808786689476509, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06802484903315964, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06755324525423934, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06680821098225564, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06586390877525794, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06477098619775923, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06356849852380897, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06228810411039021, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06095587698394933, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05959333679802903, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05821818006137125, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.056844864441073284, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05548509870908447, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05982239114163779, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06252617668813976, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.062463080792360515, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06157604152734386, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06045585612968196, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05928280813091735, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0581143884505817, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05697091557797407, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.055860928370998764, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05478879013876181, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.053757041376147896, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0527671924154447, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05182004299263099, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05091585005552357, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.050054439959794195, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049235294827406406, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04845762313940849, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.047720418669966236, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04702250996033008, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04636260183610119, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045739310150787915, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045151190742748426, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04459676344854202, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04407453189634225, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043582999702958425, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04312068361213317, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0426861240361438, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04227789339803678, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04189460261832778, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04153490603746324, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04119750502863084, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.040881150513913944, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04058464457177813, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.040306841290632, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04004664700527805, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03980302003007097, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03957496998557719, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03936155680305298, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03916188947410504, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03897512460690766, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03880046483577271, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03863715712909599, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03848449102507079, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.038341796830301256, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03820844379635968, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.038083838302974016, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03796742205699655, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.037858670319355525, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03775709017622031, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03766221885350429, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.037573622088391545, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03749089255502902, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03741364835408589, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03734153156264419, tolerance: 0.0009057236821572531
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MLPClassifier()]
sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MLPRegressor()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neural_network/_multilayer_perceptron.py:690: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
    warnings.warn(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MiniBatchNMF()]
sklearn/tests/test_common.py::test_transformers_get_feature_names_out[MiniBatchNMF()]
sklearn/tests/test_common.py::test_set_output_transform[MiniBatchNMF()]
sklearn/tests/test_common.py::test_set_output_transform[MiniBatchNMF()]
sklearn/tests/test_common.py::test_set_output_transform[MiniBatchNMF()]
sklearn/tests/test_common.py::test_set_output_transform[MiniBatchNMF()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:2341: ConvergenceWarning: Maximum number of iterations 20 reached. Increase it to improve convergence.
    warnings.warn(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006076933278706398, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006516772094170009, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006916869207388432, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007282278233898265, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007609219502492381, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007894792377677873, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008136999927912947, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008334724343011524, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008487677112921921, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008596329247344825, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008661826900742964, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008685897580835156, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008670751690548484, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008618983558482674, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.000853347542006444, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008417307081682868, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008273673282853111, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.000810581010308814, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007916931166843388, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007710173895060513, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007488555642593542, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007254939244670938, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.000701200726682838, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006762244102445358, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006507924977422752, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006251110892020323, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005993648542921282, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005737174313651117, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005483121488582543, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005232729927335394, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0004987057525284722, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00047469928764150293, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00045132686442901637, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00042864752310690923, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00040670744120224755, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00038554126732333327, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00036517340516326047, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.040355130724984534, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.07739310570162772, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09902515325135486, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11518341998168502, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.129840380929366, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.14436772132099307, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.15920990630835785, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.17448303501280282, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1901827276425987, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.20625795624132248, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2226385936816273, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.23924660775339568, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.25600128314080806, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2728221436888463, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2896308925640918, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.3063528458890863, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.3229180320349476, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.3392620214471149, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.3553265168901065, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.37105972538395715, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.38641653339214344, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.40135850928137895, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.41585375917959855, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.4298766632829709, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.44340751929659783, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.4564321182095421, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.46894127529396545, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.4809303363707951, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.49239867628213707, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.503349203367029, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5137878807314933, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5237232723444816, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5331661195590174, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5421289515804868, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5506257316838061, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5586715396152342, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5662822895504389, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5734744822046438, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5802649891426244, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5866708669861751, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5927091990241569, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5983969616554097, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6037509131154208, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6087875020228757, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6135227934129048, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6179724100832615, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6221514872568688, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6260746387436105, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6297559329637505, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6332088773753726, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6364464100056746, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6394808969442316, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6423241347973829, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6449873572214626, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6474812447876013, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.649815937508055, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.65200104946884, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6540456850789251, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.003397314497808779, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.020048838110541922, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.02554153120733016, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.028894092102578206, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03192449250641438, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03490683655472182, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03787122654345776, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.040809952676982064, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04371026754195739, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04655981455799996, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04934758250132276, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05206407610911956, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05470132216371315, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05725282257210118, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.059713479152287086, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06207949934546342, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06434828891725264, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.07263247515648175, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.07717723067374926, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.08020143195953722, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.08276447207213788, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0851169045332858, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.08732063451580707, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.08939355028011953, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09134338050752167, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09317565303735176, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09489553166002374, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09650819456466575, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09801886862585274, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09943278863969507, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10075514665165652, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10199104663133607, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10314546740940145, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10422323372884446, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10522899453680878, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10616720751837683, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10704212890936127, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10785780770902598, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10861808350526925, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.109326587221517, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10998674418414378, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1106017789942575, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1111747217674246, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11170841537166165, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11220552335899203, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11266853833860235, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11309979058941177, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11350145674577128, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11387556843071067, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11422402073418692, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11454858046334682, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11485089410769511, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.115132495481439, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11539481301498977, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11563917668637558, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11586682457808539, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11607890906663965, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11627650264629441, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11646060339755415, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11663214011129508, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11679197708416655, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1169409185975292, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11707971309858856, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11720905709764384, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11732959880172444, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11744194149337073, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1175466466783428, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11764423701218973, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1177351990202391, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0018789191204380273, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0018738259168487037, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0018351321319100555, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0017874547248072914, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0017331374953181988, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0016739142170398014, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.001611231418201381, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0015462927558097805, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0014800943557791713, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0014134552651263177, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.001347043706734219, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0012813996993950583, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.001216954531070541, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0011540475087365998, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0010929403521553749, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0010338295502071992, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0009768569561224433, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0009221188612083125, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008696737548033462, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008195489504605608, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007717462343130727, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007262466707409071, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006830146822992822, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006420015051589456, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006031481076803902, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005663876478957108, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005316475354098099, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0004988511543363161, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0004679192961515727, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.000438771344708086, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0004113262497686121, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0003855033204897551, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0003612228658951139, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.004986280909059282, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09643621762329158, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.17609508623853198, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.22927967012756678, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.262131329569705, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.28134747630125645, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.29175673828637017, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2965432830629995, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.29775015112090575, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2966791357379339, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.29416165410730155, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2907328896963266, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.28674142724289897, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.28241768588104943, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.27791653294449237, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.27334386438730185, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2687732692374576, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2642565671977577, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.25983055466561567, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.25552139487618675, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2513475342968947, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.24732168786370234, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.24345222776749775, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.23974418329666403, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2361999813585589, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2328200095221442, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2296030540087992, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2265466468482069, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.22364734505307649, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.22090095749613958, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.21830273058084515, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.21584750079813464, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.21352982026163136, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2113440599328964, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.20928449427635964, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.20734537036985046, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.20552096395720199, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.20380562451508322, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2021938110696322, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.20068012023264448, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.199259307701511, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1979263042806947, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19667622732889622, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1955043883986738, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19440629772331874, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19337766611039608, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1924144047142713, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1915126230927573, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19066862588696853, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18987890841792154, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18914015143788188, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18844921524569447, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18780313334049747, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18719910574804377, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18663449215066308, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1861068049094321, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.185613702066993, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18515298039046435, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18472256851318836, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1843205202104654, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18394500785181567, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1835943160431288, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03984268428484228, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0585108147721769, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06513631356301985, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06742419289123358, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06808786689476332, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06802484903316053, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06755324525423667, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06680821098225742, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06586390877525794, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0647709861977539, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0635684985238072, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06228810411038843, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06095587698394578, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05959333679802192, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05821818006137214, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.056844864441062626, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05548509870907825, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05982239114161381, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06252617668812999, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.062463080792355186, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06157604152732521, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06045585612967397, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.059282808130915576, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05811438845057548, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05697091557796963, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05586092837099432, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05478879013876359, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05375704137615234, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.052767192415411834, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.051820042992602566, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.050915850055501366, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05005443995976666, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049235294827383314, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048457623139410266, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04772041866994492, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04702250996026969, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04636260183603369, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045739310150715085, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04515119074268714, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04459676344853758, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04407453189630406, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04358299970289092, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043120683612082544, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04268612403608962, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.042277893397981714, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04189460261826028, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.041534906037425046, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04119750502858821, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04088115051386154, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.040584644571706185, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.040306841290518314, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.040046647005103075, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.039803020029881786, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03957496998547505, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.039361556803029885, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0391618894740251, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.038975124606726474, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.038800464835554216, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.038637157128863286, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03848449102502105, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.038341796830112074, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.038208443796060365, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03808383830284967, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03796742205655956, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03785867031928891, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03775709017570783, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03766221885319254, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03757362208813042, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03749089255473592, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.037413648353772366, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.037341531561823516, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[Nystroem()]
sklearn/tests/test_common.py::test_transformers_get_feature_names_out[Nystroem()]
sklearn/tests/test_common.py::test_set_output_transform[Nystroem()]
sklearn/tests/test_common.py::test_set_output_transform[Nystroem()]
sklearn/tests/test_common.py::test_set_output_transform[Nystroem()]
sklearn/tests/test_common.py::test_set_output_transform[Nystroem()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/kernel_approximation.py:1008: UserWarning: n_components > n_samples. This is not possible.
  n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
    warnings.warn(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[QuadraticDiscriminantAnalysis()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/discriminant_analysis.py:947: UserWarning: Variables are collinear
    warnings.warn("Variables are collinear")

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[QuantileTransformer()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2785: UserWarning: n_quantiles (1000) is greater than the total number of samples (10). n_quantiles is set to n_samples.
    warnings.warn(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[SGDOneClassSVM()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_stochastic_gradient.py:2542: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
    warnings.warn(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[SelfTrainingClassifier(base_estimator=LogisticRegression(C=1))]
sklearn/tests/test_metaestimators.py::test_metaestimator_delegation
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/semi_supervised/_self_training.py:227: UserWarning: y contains no unlabeled samples
    warnings.warn("y contains no unlabeled samples", UserWarning)

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[TheilSenRegressor()]
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[TheilSenRegressor()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor.
    warnings.warn(

sklearn/tests/test_common.py::test_transformers_get_feature_names_out[Isomap()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/manifold/_isomap.py:383: UserWarning: The number of connected components of the neighbors graph is 2 > 1. Completing the graph to fit Isomap might be slow. Increase the number of neighbors to avoid this issue.
    self._fit_transform(X)

sklearn/tests/test_common.py::test_transformers_get_feature_names_out[QuantileTransformer()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2785: UserWarning: n_quantiles (1000) is greater than the total number of samples (30). n_quantiles is set to n_samples.
    warnings.warn(

sklearn/tests/test_common.py::test_f_contiguous_array_estimator[Isomap]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/manifold/_isomap.py:359: UserWarning: The number of connected components of the neighbors graph is 3 > 1. Completing the graph to fit Isomap might be slow. Increase the number of neighbors to avoid this issue.
    self._fit_transform(X)

sklearn/tests/test_common.py::test_set_output_transform[QuantileTransformer()]
sklearn/tests/test_common.py::test_set_output_transform[QuantileTransformer()]
sklearn/tests/test_common.py::test_set_output_transform[QuantileTransformer()]
sklearn/tests/test_common.py::test_set_output_transform[QuantileTransformer()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2785: UserWarning: n_quantiles (1000) is greater than the total number of samples (20). n_quantiles is set to n_samples.
    warnings.warn(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.013600403306909925, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03665116082125763, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.040332571379138926, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.042338287573571165, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04399714422716983, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0453915031566865, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04655165148311369, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.047504257032187525, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048273864880059136, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04888295807550236, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049352014011198264, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04969958357785487, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049942387248371745, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05009542273019463, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05017207971273052, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05018425804281179, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.050142486379357365, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.050056039010840436, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04993304906684415, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049780616820434886, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04960491216852603, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04941127070071616, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04920428302831681, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04898787725278453, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04876539461863416, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04853965851590658, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048313037091034516, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04808749978928972, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04786466819175672, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04764586153759609, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.047432137330154944, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04722432742698146, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.047023070006410705, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04682883778483671, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04664196284644362, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04646265842206532, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04629103793022438, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04612713157403192, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04597090076061505, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045822250586248, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04568104061281275, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04554709413273628, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04542020610763586, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04530014993859055, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04518668321908592, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04507955259440877, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04497849784775809, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04488325531231396, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04479356069947471, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044709151424285665, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04462976849813316, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044555158049014665, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04448507252164546, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04441927160927861, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04435752295587747, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044299602656330705, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04424529560584034, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0441943956998756, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04414670592769454, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044102038368627916, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04406021411693217, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04402106313481369, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04398442406736791, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043950144010047154, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04391807824982408, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04388808998855609, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043860050036371945, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04383383651776285, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04380933454851288, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04378643592691844, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043765038818250446, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04374504744378527, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04372637178177996, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04370892726241493, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043692634486994564, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043677418943175894, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04366321073531054, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043649944325139245, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04363755829871252, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04362599509899212, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04361520082319714, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04360512500256419, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043595720395110504, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04358694277415509, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04357875078207485, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04357110572185974, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043563971409064095, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.02242199605876749, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048236309604135386, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.051523864985554724, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05256396561011201, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05317106552980988, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.053492207955301296, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.053581471926960944, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05348196852554565, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05323022641038477, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.052857208749458096, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.052389095282755704, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05184795600122527, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05125233361101067, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.050617746951559184, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049957125879103614, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049281186741332306, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048598756367638885, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04791705145461833, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.047241919318892656, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04657804520034148, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04592913061307513, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045298046647445744, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04468696560757479, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04409747392099206, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04353066886611856, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04298724132526388, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.042467546475386087, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04197166407418962, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04149944977884701, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.041050578738094146, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04062458253689272, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.040220880422950245, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.039838805622117945, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.039477627438131435, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03913656974015822, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03881482635748057, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03851157382968751, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03822598190090076, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.037957222091961285, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.037704474637315855, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.037466934035712995, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.037243813427110695, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0370343479795352, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03683779744271476, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.036653448003143296, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03648061355797694, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.036318636503786195, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03616688812651603, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0360247686651789, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03589170710681344, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03576716077176201, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03565061472404807, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03554158105374228, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.035439598054125554, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03534422932694525, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03525506283297375, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.035171709906833826, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.035093804258515604, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03502100095681726, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03495297542907139, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03488942246193716, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03483005522558358, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03477460431766133, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034722816839448, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034674455498084455, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03462929773974821, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03458713492521781, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03454777152485633, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03451102436775244, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03447672191165907, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03444470354921236, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03441481895866616, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03438692747838701, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034360897516386046, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034336605990745284, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03431393780942926, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03429278536479785, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0342730480635538, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034254631897702836, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03423744900828041, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03422141730835904, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03420646010684436, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0341925057645156, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03417948737429555, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034167342439680226, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03415601261241363, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034145443397115116, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.013600403306938347, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.036651160821300266, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04033257137915314, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04233828757359959, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04399714422717693, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04539150315672913, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04655165148310658, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04750425703224437, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04827386488008045, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04888295807550236, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049352014011198264, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04969958357787618, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04994238724840727, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05009542273022305, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05017207971273052, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.050184258042854424, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0501424863794071, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05005603901088307, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049933049066879676, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049780616820470414, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04960491216856866, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04941127070074458, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049204283028338125, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048987877252834267, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04876539461873364, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04853965851595632, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04831303709104873, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04808749978931104, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.047864668191841986, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0476458615377382, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04743213733019758, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04722432742718041, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04702307000651729, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04682883778484381, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04664196284656441, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04646265842222164, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.046291037930366485, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0461271315741385, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045970900760671896, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04582225058641143, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045681040612961965, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04554709413301339, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04542020610786324, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04530014993896003, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04518668321914987, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04507955259467167, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044978497848404686, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04488325531281845, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04479356069986551, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0447091514245912, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044629768498452904, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04455515804947652, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044485072521830205, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044419271610095734, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0443575229559201, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04429960265706967, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044245295606920365, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04419439570033035, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04414670592787928, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04410203836879134, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04406021411769245, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04402106313558107, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04398442406796477, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043950144010871384, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043918078250278825, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04388808998888294, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043860050037956455, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04383383651868655, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04380933454994107, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04378643592900744, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04376503882024707, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04374504744476582, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04372637178372685, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04370892726434761, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04369263448914751, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043677418943936175, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04366321073612056, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043649944329523294, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0436375583014339, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04362599510120191, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04361520082515824, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04360512500750957, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04359572039616211, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04358694277745201, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043578750784845965, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04357110572738776, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04356397141656032, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0224219960587817, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048236309604135386, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05152386498559025, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05256396561011201, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05317106552982409, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05349220795532972, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05358147192696805, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05348196852554565, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.053230226410413195, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05285720874948652, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05238909528276281, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0518479560012679, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05125233361102488, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05061774695155208, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04995712587912493, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04928118674140336, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04859875636769573, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04791705145462544, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04724191931889976, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04657804520032727, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04592913061306092, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045298046647552326, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044686965607660056, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044097473921041797, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04353066886615409, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04298724132537757, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.042467546475435825, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.041971664074289095, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.041499449778932274, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04105057873812967, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04062458253697088, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.040220880423120775, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03983880562221742, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03947762743815986, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03913656974027191, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03881482635760847, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03851157382983672, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03822598190104998, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.037957222092131815, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03770447463751481, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03746693403599011, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03724381342731675, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03703434797969862, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03683779744283555, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.036653448003391986, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03648061355833221, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03631863650416278, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03616688812684998, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03602476866552706, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03589170710714029, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03576716077182596, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03565061472428255, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03554158105414018, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.035439598054651356, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03534422932744263, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03525506283315849, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03517170990748042, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03509380425897746, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03502100095753491, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03495297542940534, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03488942246326587, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034830055225803846, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034774604318336344, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03472281684028644, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03467445549910053, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034629297741297194, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034587134926375995, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03454777152581556, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03451102436970643, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034476721912398034, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03444470354995133, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03441481895958276, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03438692748014205, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03436089751581051, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03433660599313271, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034313937811290884, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03429278536582814, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034273048067667844, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0342546318992305, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034237449010880994, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03422141730849404, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03420646010871309, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03419250576757804, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034179487378089846, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03416734244497377, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03415601261640688, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034145443399154374, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[QuantileTransformer()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2785: UserWarning: n_quantiles (1000) is greater than the total number of samples (100). n_quantiles is set to n_samples.
    warnings.warn(

sklearn/tests/test_config.py::test_config_threadsafe_joblib[multiprocessing]
sklearn/tests/test_config.py::test_config_threadsafe_joblib[multiprocessing]
sklearn/utils/tests/test_parallel.py::test_configuration_passes_through_to_joblib[multiprocessing-2]
sklearn/utils/tests/test_parallel.py::test_configuration_passes_through_to_joblib[multiprocessing-2]
  /usr/lib64/python3.13/multiprocessing/popen_fork.py:67: DeprecationWarning: This process (pid=13818) is multi-threaded, use of fork() may lead to deadlocks in the child.
    self.pid = os.fork()

sklearn/tests/test_discriminant_analysis.py::test_qda_regularization
sklearn/tests/test_discriminant_analysis.py::test_qda_regularization
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/discriminant_analysis.py:972: RuntimeWarning: invalid value encountered in multiply
    X2 = np.dot(Xm, R * (S ** (-0.5)))

sklearn/tests/test_metaestimators_metadata_routing.py::test_setting_request_on_sub_estimator_removes_error[HalvingRandomSearchCV]
sklearn/tests/test_metaestimators_metadata_routing.py::test_setting_request_on_sub_estimator_removes_error[HalvingRandomSearchCV]
sklearn/tests/test_metaestimators_metadata_routing.py::test_non_consuming_estimator_works[HalvingRandomSearchCV]
sklearn/tests/test_metaestimators_metadata_routing.py::test_metadata_is_routed_correctly_to_scorer[HalvingRandomSearchCV]
sklearn/tests/test_metaestimators_metadata_routing.py::test_metadata_is_routed_correctly_to_scorer[HalvingRandomSearchCV]
sklearn/tests/test_metaestimators_metadata_routing.py::test_metadata_is_routed_correctly_to_splitter[HalvingRandomSearchCV]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:320: UserWarning: The total space of parameters 2 is smaller than n_iter=8. Running 2 iterations. For exhaustive searches, use GridSearchCV.
    warnings.warn(

sklearn/tests/test_multiclass.py::test_constant_int_target[ones]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/multiclass.py:87: UserWarning: Label not 1 is present in all training examples.
    warnings.warn(

sklearn/tests/test_multiclass.py::test_constant_int_target[zeros]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/multiclass.py:87: UserWarning: Label not 0 is present in all training examples.
    warnings.warn(

sklearn/tests/test_multioutput.py::test_classifier_chain_vs_independent_models
sklearn/tests/test_multioutput.py::test_classifier_chain_vs_independent_models
sklearn/tests/test_multioutput.py::test_base_chain_crossval_fit_and_predict[classifier-predict]
sklearn/tests/test_multioutput.py::test_base_chain_crossval_fit_and_predict[classifier-predict_proba]
sklearn/tests/test_multioutput.py::test_base_chain_crossval_fit_and_predict[classifier-predict_log_proba]
sklearn/tests/test_multioutput.py::test_base_chain_crossval_fit_and_predict[classifier-decision_function]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Jaccard is ill-defined and being set to 0.0 in samples with no true or predicted labels. Use `zero_division` parameter to control this behavior.
    _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))

sklearn/tests/test_naive_bayes.py::test_alpha_vector
sklearn/tests/test_naive_bayes.py::test_alpha_vector
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/naive_bayes.py:620: UserWarning: alpha too small will result in numeric errors, setting alpha = 1.0e-10. Use `force_alpha=True` to keep alpha unchanged.
    warnings.warn(

sklearn/tree/tests/test_tree.py: 14 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/tree/_classes.py:1078: RuntimeWarning: divide by zero encountered in log
    proba[k] = np.log(proba[k])

sklearn/tree/tests/test_tree.py::test_big_input
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/_array_api.py:745: RuntimeWarning: overflow encountered in cast
    array = numpy.asarray(array, order=order, dtype=dtype)

sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None]
sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_matrix]
sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_array]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/tree/tests/test_tree.py:1788: RuntimeWarning: overflow encountered in cast
    data = np.nan_to_num(data.astype("float32"))

sklearn/utils/tests/test_estimator_checks.py: 14 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight.
    warnings.warn(str(exception), SkipTestWarning)

sklearn/utils/tests/test_estimator_checks.py: 16 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: pandas is not installed: not checking estimators for pandas objects.
    warnings.warn(str(exception), SkipTestWarning)

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: Skipping check_sample_weights_invariance for TaggedBinaryClassifier: zero sample_weight is not equivalent to removing samples
    warnings.warn(str(exception), SkipTestWarning)

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: Skipping check_sample_weights_invariance for SGDClassifier: zero sample_weight is not equivalent to removing samples
    warnings.warn(str(exception), SkipTestWarning)

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: array_api_compat is not installed: not checking array_api input
    warnings.warn(str(exception), SkipTestWarning)

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: array_api_strict is not installed: not checking array_api input
    warnings.warn(str(exception), SkipTestWarning)

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: cupy is not installed: not checking array_api input
    warnings.warn(str(exception), SkipTestWarning)

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: cupy.array_api is not installed: not checking array_api input
    warnings.warn(str(exception), SkipTestWarning)

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: torch is not installed: not checking array_api input
    warnings.warn(str(exception), SkipTestWarning)

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: ExtraTreesClassifier does not have a decision_function method.
    warnings.warn(str(exception), SkipTestWarning)

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: Skipping check_sample_weights_invariance for MiniBatchKMeans: zero sample_weight is not equivalent to removing samples
    warnings.warn(str(exception), SkipTestWarning)

sklearn/utils/tests/test_optimize.py::test_newton_cg_verbosity[2]
sklearn/utils/tests/test_optimize.py::test_newton_cg_verbosity[2]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/optimize.py:311: UserWarning: Line Search failed
    warnings.warn("Line Search failed")

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
= 29596 passed, 4584 skipped, 53 deselected, 91 xfailed, 50 xpassed, 4340 warnings in 527.40s (0:08:47) =
 This problem is unconstrained.
 This problem is unconstrained.
RUNNING THE L-BFGS-B CODE

           * * *

Machine precision = 2.220D-16
 N =            2     M =           10

           * * *

Tit   = total number of iterations
Tnf   = total number of function evaluations
Tnint = total number of segments explored during Cauchy searches
Skip  = number of BFGS updates skipped
Nact  = number of active bounds at final generalized Cauchy point
Projg = norm of the final projected gradient
F     = final function value

           * * *

   N    Tit     Tnf  Tnint  Skip  Nact     Projg        F
    2      5      7      1     0     0   5.264D-05  -3.750D-01

CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL            
RUNNING THE L-BFGS-B CODE

           * * *

Machine precision = 2.220D-16
 N =            2     M =           10

At X0         0 variables are exactly at the bounds

At iterate    0    f= -2.66378D-01    |proj g|=  1.16272D-01

At iterate    1    f= -3.72773D-01    |proj g|=  3.44540D-02

At iterate    2    f= -3.74743D-01    |proj g|=  1.18567D-02

At iterate    3    f= -3.74922D-01    |proj g|=  5.40689D-03

At iterate    4    f= -3.75000D-01    |proj g|=  4.08881D-04

At iterate    5    f= -3.75000D-01    |proj g|=  5.26385D-05

           * * *

Tit   = total number of iterations
Tnf   = total number of function evaluations
Tnint = total number of segments explored during Cauchy searches
Skip  = number of BFGS updates skipped
Nact  = number of active bounds at final generalized Cauchy point
Projg = norm of the final projected gradient
F     = final function value

           * * *

   N    Tit     Tnf  Tnint  Skip  Nact     Projg        F
    2      5      7      1     0     0   5.264D-05  -3.750D-01
  F = -0.37499999475400758     

CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL            
+ popd
~/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2
+ RPM_EC=0
++ jobs -p
+ exit 0
Processing files: python3-scikit-learn-1.5.2-2.fc42.aarch64
Executing(%doc): /bin/sh -e /var/tmp/rpm-tmp.f9lXII
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build
+ cd scikit_learn-1.5.2
+ DOCDIR=/builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/share/doc/python3-scikit-learn
+ export LC_ALL=C.UTF-8
+ LC_ALL=C.UTF-8
+ export DOCDIR
+ /usr/bin/mkdir -p /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/share/doc/python3-scikit-learn
+ cp -pr /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/examples /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/share/doc/python3-scikit-learn
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%license): /bin/sh -e /var/tmp/rpm-tmp.uk0oTQ
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build
+ cd scikit_learn-1.5.2
+ LICENSEDIR=/builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/share/licenses/python3-scikit-learn
+ export LC_ALL=C.UTF-8
+ LC_ALL=C.UTF-8
+ export LICENSEDIR
+ /usr/bin/mkdir -p /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/share/licenses/python3-scikit-learn
+ cp -pr /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/COPYING /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/share/licenses/python3-scikit-learn
+ cp -pr /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/svm/src/liblinear/COPYRIGHT /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/share/licenses/python3-scikit-learn
+ RPM_EC=0
++ jobs -p
+ exit 0
Provides: python-scikit-learn = 1.5.2-2.fc42 python-sklearn = 1.5.2-2.fc42 python3-scikit-learn = 1.5.2-2.fc42 python3-scikit-learn(aarch-64) = 1.5.2-2.fc42 python3.13-scikit-learn = 1.5.2-2.fc42 python3.13-sklearn = 1.5.2-2.fc42 python3.13dist(scikit-learn) = 1.5.2 python3dist(scikit-learn) = 1.5.2
Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PartialHardlinkSets) <= 4.0.4-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1
Requires: ld-linux-aarch64.so.1()(64bit) ld-linux-aarch64.so.1(GLIBC_2.17)(64bit) libc.so.6()(64bit) libc.so.6(GLIBC_2.17)(64bit) libc.so.6(GLIBC_2.32)(64bit) libc.so.6(GLIBC_ABI_DT_RELR)(64bit) libgcc_s.so.1()(64bit) libgcc_s.so.1(GCC_3.0)(64bit) libgcc_s.so.1(GCC_3.3.1)(64bit) libgomp.so.1()(64bit) libgomp.so.1(GOMP_1.0)(64bit) libgomp.so.1(GOMP_4.0)(64bit) libgomp.so.1(OMP_1.0)(64bit) libgomp.so.1(OMP_3.0)(64bit) libm.so.6()(64bit) libm.so.6(GLIBC_2.17)(64bit) libm.so.6(GLIBC_2.23)(64bit) libm.so.6(GLIBC_2.27)(64bit) libm.so.6(GLIBC_2.29)(64bit) libstdc++.so.6()(64bit) libstdc++.so.6(CXXABI_1.3)(64bit) libstdc++.so.6(CXXABI_1.3.8)(64bit) libstdc++.so.6(CXXABI_1.3.9)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.29)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(64bit) python(abi) = 3.13 python3.13dist(joblib) >= 1.2 python3.13dist(numpy) >= 1.19.5 python3.13dist(scipy) >= 1.6 python3.13dist(threadpoolctl) >= 3.1 rtld(GNU_HASH)
Obsoletes: python-sklearn < 1.5.2-2.fc42
Processing files: python-scikit-learn-debugsource-1.5.2-2.fc42.aarch64
Provides: python-scikit-learn-debugsource = 1.5.2-2.fc42 python-scikit-learn-debugsource(aarch-64) = 1.5.2-2.fc42
Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1
Processing files: python3-scikit-learn-debuginfo-1.5.2-2.fc42.aarch64
Provides: debuginfo(build-id) = 078a5fc8316dc2143fe487ff5e49221832c81a9c debuginfo(build-id) = 0c40d16bd3a4ee0ece7791980cf0c29d8a582af9 debuginfo(build-id) = 0df27fa613ec80900751150705d023d67fd8af1c debuginfo(build-id) = 0efb76e75e00cd073f33288f4f4097db9a7992dc debuginfo(build-id) = 113d2935a6e7c785a4d5f86973ae1f5093f2263d debuginfo(build-id) = 12670ef6915d7b592ffc74387e3b074693eefb96 debuginfo(build-id) = 1475746ef114052e2457be2e36bb510b2c0e47e7 debuginfo(build-id) = 1d626f4b41903d5655d6331bfaf1b78d5323929c debuginfo(build-id) = 1fd25e5eec2a0f473c59c5921cf3eb6cf91bdae3 debuginfo(build-id) = 2005a750735ca3ddc70d768335ab97c4b77cdeec debuginfo(build-id) = 23869686fd0e1cec15124f547fc5d1cff1b4837d debuginfo(build-id) = 24d3ba5cb586378cdc0815482be929d897891796 debuginfo(build-id) = 2e45692d8c3771a50fee48d8188cc9c4e5114026 debuginfo(build-id) = 2e942feac181b59180644a46ee3ab251042c6bb2 debuginfo(build-id) = 2efda0be501e2c06694e04b035a2c24d9af7aa1e debuginfo(build-id) = 35ff57d188b4a4fe78b4f707cc2ddb2f935a832b debuginfo(build-id) = 39e4732b128c7f64705a1f97041a55a97e0ce0ba debuginfo(build-id) = 3aa10576818235a77fbb5af9b5686927d995d533 debuginfo(build-id) = 3c5c1f7ac2fcefa7654c666418d8a8af222bde3b debuginfo(build-id) = 3d9f30b93b18540de8e968c97874632f00db135a debuginfo(build-id) = 402aa3d9f518869424dc8f5968e6e9912ad170c4 debuginfo(build-id) = 445fefff6827ed854fc6462c3c76c529dc7a80d8 debuginfo(build-id) = 4b28ac604d949e1d237158fb9af22325f1a6497e debuginfo(build-id) = 4db955aa2208b8440f5d6fbe3d5f141eefa2a430 debuginfo(build-id) = 524f1b4a2bdf1469cd75653fb8b67667760fd331 debuginfo(build-id) = 5a4fdbc2bde56c04b67841e8c8cfff3a91966731 debuginfo(build-id) = 60995f35d50f22079b213b163adf2617e030d259 debuginfo(build-id) = 618f370000fe2a0ab34d7b3656b9cda7145c34cc debuginfo(build-id) = 649a523f70302702a3e47d61436f23627907ec8b debuginfo(build-id) = 74d757aa25836a4cd2e14d9b13161cd68bc76d64 debuginfo(build-id) = 776db4e09aacbe706cd7595bc2da527e0fc932cb debuginfo(build-id) = 7c81506df69643d7a4cf5bf91fc99f253155c96f debuginfo(build-id) = 7d6a84a25d04267b0049641a723d9242ef1fa976 debuginfo(build-id) = 7f551729bc765b93b548fc59e536ea18477b0522 debuginfo(build-id) = 84d4600c5dd808526ca08941d30fa3ba3e4bea2f debuginfo(build-id) = 85a63e388d1b304eeaa9cf26cf3095101ea1332f debuginfo(build-id) = 8eebb3d4a6f129bffe5b2a566d459005b892d240 debuginfo(build-id) = 912c24174590275c3d42bd6d549fd2e61efd6e66 debuginfo(build-id) = 937e73b48ec5f5814d89422f14d5063dd0ea00e0 debuginfo(build-id) = 94549b71bf7098a4a94e1cf7b14efc07cdf0a34e debuginfo(build-id) = 9a519187dca37054354266d395ec07cd4f82f99d debuginfo(build-id) = a20f6d6b2cff95cca5a65e021ad4bebcebdb7ac0 debuginfo(build-id) = a47aaeef8e1aba881d3458e49d65a38d1b207ce6 debuginfo(build-id) = a844eb5da989d98db24f2f4bbcb06759c54ae72a debuginfo(build-id) = a959af0c4816a771fd934144672fd930ab8a3c43 debuginfo(build-id) = b86d67a26776597cd4d390bbddd94fb96cc30334 debuginfo(build-id) = be8fb7d98d4ff78551135b2a2d890c1b6b1ca397 debuginfo(build-id) = c0ac73c30d173b218a6097924a004c2fed22d945 debuginfo(build-id) = c869cd39bf08ae563e45ddfceca81c69c90b7c3b debuginfo(build-id) = c8a9673ba4f28f461fced747af31c224021e5a57 debuginfo(build-id) = d1a1b6f5c84ae5f6c56642e6ea0e6bbc2636f4ea debuginfo(build-id) = d1fb087a245ef5d2083252266383755bdcc60b9b debuginfo(build-id) = d66075caca5c865e7fb9df7d8de9a61b0ec0834e debuginfo(build-id) = dc9b872dee6edb7b1b61cbe2c37bed9d6b90fa3c debuginfo(build-id) = e0f1001c4d4db98d7cb9d20cd5bfe00cbfbc8c44 debuginfo(build-id) = e13a40fcfc26b89a7941391596b4743233e6a5f3 debuginfo(build-id) = e3f735d2b4800b6b6a69243c8c0d17db6e814d12 debuginfo(build-id) = e54e71d579d99b3a3d4cb596f19b2e3375ece508 debuginfo(build-id) = e7a82721a5fc04ef6fe6b1ff0a480415d92ee8c5 debuginfo(build-id) = e9ccac6dc918538f5e696b86e8d6de518b13397c debuginfo(build-id) = eea9f82af289f8796e776b8191cb8cc63612819c debuginfo(build-id) = f91be4d5f2a2fe6b8d3d2b4045304dc7d1ef9f53 debuginfo(build-id) = f9b4b7d641531cd6a4970b42f230ee9f45a53803 debuginfo(build-id) = fb9433f56975c5a239e0585b917eb8e94a1890ae debuginfo(build-id) = fc264021c964419bc2b70da6db8cea66caac4a66 debuginfo(build-id) = fc60f0cf0d4cc7701eb1753e849f322a5606b161 debuginfo(build-id) = fe3ce8f1d5aa844b0e8b98f6c1b9c70814068c31 python-scikit-learn-debuginfo = 1.5.2-2.fc42 python3-scikit-learn-debuginfo = 1.5.2-2.fc42 python3-scikit-learn-debuginfo(aarch-64) = 1.5.2-2.fc42 python3.13-scikit-learn-debuginfo = 1.5.2-2.fc42
Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1
Recommends: python-scikit-learn-debugsource(aarch-64) = 1.5.2-2.fc42
Checking for unpackaged file(s): /usr/lib/rpm/check-files /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT
Wrote: /builddir/build/SRPMS/python-scikit-learn-1.5.2-2.fc42.src.rpm
Wrote: /builddir/build/RPMS/python-scikit-learn-debugsource-1.5.2-2.fc42.aarch64.rpm
Wrote: /builddir/build/RPMS/python3-scikit-learn-1.5.2-2.fc42.aarch64.rpm
Wrote: /builddir/build/RPMS/python3-scikit-learn-debuginfo-1.5.2-2.fc42.aarch64.rpm
Executing(rmbuild): /bin/sh -e /var/tmp/rpm-tmp.hPp10g
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build
+ test -d /builddir/build/BUILD/python-scikit-learn-1.5.2-build
+ /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w /builddir/build/BUILD/python-scikit-learn-1.5.2-build
+ rm -rf /builddir/build/BUILD/python-scikit-learn-1.5.2-build
+ RPM_EC=0
++ jobs -p
+ exit 0
Finish: rpmbuild python-scikit-learn-1.5.2-2.fc42.src.rpm
Finish: build phase for python-scikit-learn-1.5.2-2.fc42.src.rpm
INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan
INFO: /var/lib/mock/fedora-rawhide-aarch64-1731780487.781730/root/var/log/dnf5.log
INFO: chroot_scan: creating tarball /var/lib/copr-rpmbuild/results/chroot_scan.tar.gz
/bin/tar: Removing leading `/' from member names
INFO: Done(/var/lib/copr-rpmbuild/results/python-scikit-learn-1.5.2-2.fc42.src.rpm) Config(child) 16 minutes 32 seconds
INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results
INFO: Cleaning up build root ('cleanup_on_success=True')
Start: clean chroot
INFO: unmounting tmpfs.
Finish: clean chroot
Finish: run
Running RPMResults tool
Package info:
{
    "packages": [
        {
            "name": "python3-scikit-learn",
            "epoch": null,
            "version": "1.5.2",
            "release": "2.fc42",
            "arch": "aarch64"
        },
        {
            "name": "python3-scikit-learn-debuginfo",
            "epoch": null,
            "version": "1.5.2",
            "release": "2.fc42",
            "arch": "aarch64"
        },
        {
            "name": "python-scikit-learn",
            "epoch": null,
            "version": "1.5.2",
            "release": "2.fc42",
            "arch": "src"
        },
        {
            "name": "python-scikit-learn-debugsource",
            "epoch": null,
            "version": "1.5.2",
            "release": "2.fc42",
            "arch": "aarch64"
        }
    ]
}
RPMResults finished