Warning: Permanently added '2620:52:3:1:dead:beef:cafe:c152' (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/8804886-fedora-rawhide-x86_64 --chroot fedora-rawhide-x86_64


Version: 1.2
PID: 8916
Logging PID: 8917
Task:
{'allow_user_ssh': False,
 'appstream': False,
 'background': True,
 'build_id': 8804886,
 'buildroot_pkgs': [],
 'chroot': 'fedora-rawhide-x86_64',
 'enable_net': False,
 'fedora_review': False,
 'git_hash': 'a744847b21dba10c0efce67d3ac4a91c16b5223d',
 'git_repo': 'https://copr-dist-git.fedorainfracloud.org/git/torsava/automatic-obsoletes/python-scikit-learn',
 'isolation': 'default',
 'memory_reqs': 2048,
 'package_name': 'python-scikit-learn',
 'package_version': '1.6.1-3',
 'project_dirname': 'automatic-obsoletes',
 'project_name': 'automatic-obsoletes',
 'project_owner': 'torsava',
 'repo_priority': None,
 'repos': [{'baseurl': 'https://download.copr.fedorainfracloud.org/results/torsava/automatic-obsoletes/fedora-rawhide-x86_64/',
            'id': 'copr_base',
            'name': 'Copr repository',
            'priority': None}],
 'sandbox': 'torsava/automatic-obsoletes--https://src.fedoraproject.org/user/sergiopr',
 'source_json': {},
 'source_type': None,
 'ssh_public_keys': None,
 'storage': None,
 'submitter': 'https://src.fedoraproject.org/user/sergiopr',
 'tags': [],
 'task_id': '8804886-fedora-rawhide-x86_64',
 'timeout': 18000,
 'uses_devel_repo': False,
 'with_opts': [],
 'without_opts': []}

Running: git clone https://copr-dist-git.fedorainfracloud.org/git/torsava/automatic-obsoletes/python-scikit-learn /var/lib/copr-rpmbuild/workspace/workdir-w1o6_8yr/python-scikit-learn --depth 500 --no-single-branch --recursive

cmd: ['git', 'clone', 'https://copr-dist-git.fedorainfracloud.org/git/torsava/automatic-obsoletes/python-scikit-learn', '/var/lib/copr-rpmbuild/workspace/workdir-w1o6_8yr/python-scikit-learn', '--depth', '500', '--no-single-branch', '--recursive']
cwd: .
rc: 0
stdout: 
stderr: Cloning into '/var/lib/copr-rpmbuild/workspace/workdir-w1o6_8yr/python-scikit-learn'...

Running: git checkout a744847b21dba10c0efce67d3ac4a91c16b5223d --

cmd: ['git', 'checkout', 'a744847b21dba10c0efce67d3ac4a91c16b5223d', '--']
cwd: /var/lib/copr-rpmbuild/workspace/workdir-w1o6_8yr/python-scikit-learn
rc: 0
stdout: 
stderr: Note: switching to 'a744847b21dba10c0efce67d3ac4a91c16b5223d'.

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 a744847 automatic import of python-scikit-learn

Running: dist-git-client sources

cmd: ['dist-git-client', 'sources']
cwd: /var/lib/copr-rpmbuild/workspace/workdir-w1o6_8yr/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-1.6.1.tar.gz
INFO: Reading stdout from command: curl --help all
INFO: Calling: curl -H Pragma: -o scikit_learn-1.6.1.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/torsava/automatic-obsoletes/python-scikit-learn/scikit_learn-1.6.1.tar.gz/md5/f7e65a9e011c8ec6d0eb4dbe32edcbdc/scikit_learn-1.6.1.tar.gz
  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed
100 6902k  100 6902k    0     0   846k      0  0:00:08  0:00:08 --:--:-- 1126k
INFO: Reading stdout from command: md5sum scikit_learn-1.6.1.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-w1o6_8yr/python-scikit-learn/python-scikit-learn.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-w1o6_8yr/python-scikit-learn --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1742675702.538584 -r /var/lib/copr-rpmbuild/results/configs/child.cfg
INFO: mock.py version 6.1 starting (python version = 3.13.0, NVR = mock-6.1-1.fc41), args: /usr/libexec/mock/mock --spec /var/lib/copr-rpmbuild/workspace/workdir-w1o6_8yr/python-scikit-learn/python-scikit-learn.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-w1o6_8yr/python-scikit-learn --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1742675702.538584 -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-w1o6_8yr/python-scikit-learn/python-scikit-learn.spec)  Config(fedora-rawhide-x86_64)
Start: clean chroot
Finish: clean chroot
Mock Version: 6.1
INFO: Mock Version: 6.1
Start(bootstrap): chroot init
INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-x86_64-bootstrap-1742675702.538584/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 container image: registry.fedoraproject.org/fedora:rawhide
INFO: Pulling image: registry.fedoraproject.org/fedora:rawhide
INFO: Tagging container image as mock-bootstrap-075c04b4-1c78-4e6d-ab0a-0448a2da90f1
INFO: Checking that d4c36a66d582f193c9a5845b4ee85e8704567a353e821d5358d2043734546943 image matches host's architecture
INFO: Copy content of container d4c36a66d582f193c9a5845b4ee85e8704567a353e821d5358d2043734546943 to /var/lib/mock/fedora-rawhide-x86_64-bootstrap-1742675702.538584/root
INFO: mounting d4c36a66d582f193c9a5845b4ee85e8704567a353e821d5358d2043734546943 with podman image mount
INFO: image d4c36a66d582f193c9a5845b4ee85e8704567a353e821d5358d2043734546943 as /var/lib/containers/storage/overlay/226d361e201de57b9813528437a247fda05c2041861341f33f9df101daebbe4f/merged
INFO: umounting image d4c36a66d582f193c9a5845b4ee85e8704567a353e821d5358d2043734546943 (/var/lib/containers/storage/overlay/226d361e201de57b9813528437a247fda05c2041861341f33f9df101daebbe4f/merged) with podman image umount
INFO: Removing image mock-bootstrap-075c04b4-1c78-4e6d-ab0a-0448a2da90f1
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-x86_64-1742675702.538584/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-4.20.1-1.fc43.x86_64
  rpm-sequoia-1.7.0-5.fc43.x86_64
  dnf5-5.2.12.0-1.fc43.x86_64
  dnf5-plugins-5.2.12.0-1.fc43.x86_64
Start: installing minimal buildroot with dnf5
Updating and loading repositories:
 fedora                                 100% |  17.4 MiB/s |  22.5 MiB |  00m01s
 Copr repository                        100% |   5.4 MiB/s |   4.0 MiB |  00m01s
Repositories loaded.
Package                            Arch   Version                    Repository      Size
Installing group/module packages:
 bash                              x86_64 5.2.37-3.fc43              fedora       8.2 MiB
 bzip2                             x86_64 1.0.8-20.fc42              fedora      99.3 KiB
 coreutils                         x86_64 9.6-2.fc43                 fedora       5.4 MiB
 cpio                              x86_64 2.15-2.fc41                fedora       1.1 MiB
 diffutils                         x86_64 3.10-9.fc42                fedora       1.6 MiB
 fedora-release-common             noarch 43-0.7                     fedora      20.3 KiB
 findutils                         x86_64 1:4.10.0-5.fc42            fedora       1.9 MiB
 gawk                              x86_64 5.3.1-1.fc42               fedora       1.7 MiB
 glibc-minimal-langpack            x86_64 2.41.9000-2.fc43           fedora       0.0   B
 grep                              x86_64 3.11-10.fc42               fedora       1.0 MiB
 gzip                              x86_64 1.13-3.fc42                fedora     392.9 KiB
 info                              x86_64 7.2-3.fc42                 fedora     357.9 KiB
 patch                             x86_64 2.7.6-26.fc42              fedora     258.7 KiB
 redhat-rpm-config                 noarch 342-2.fc42                 fedora     186.8 KiB
 rpm-build                         x86_64 4.20.1-1.fc43              copr_base  168.7 KiB
 sed                               x86_64 4.9-4.fc42                 fedora     857.3 KiB
 shadow-utils                      x86_64 2:4.17.4-1.fc43            fedora       4.0 MiB
 tar                               x86_64 2:1.35-5.fc42              fedora       3.0 MiB
 unzip                             x86_64 6.0-66.fc42                fedora     390.3 KiB
 util-linux                        x86_64 2.40.4-7.fc43              copr_base    3.4 MiB
 which                             x86_64 2.23-1.fc42                fedora      83.4 KiB
 xz                                x86_64 1:5.6.3-3.fc42             fedora       1.2 MiB
Installing dependencies:
 add-determinism                   x86_64 0.6.0-1.fc43               fedora       2.5 MiB
 alternatives                      x86_64 1.32-1.fc43                fedora      62.2 KiB
 ansible-srpm-macros               noarch 1-17.1.fc42                fedora      35.7 KiB
 audit-libs                        x86_64 4.0.3-2.fc42               copr_base  351.3 KiB
 binutils                          x86_64 2.44-3.fc43                fedora      25.9 MiB
 build-reproducibility-srpm-macros noarch 0.6.0-1.fc43               fedora     735.0   B
 bzip2-libs                        x86_64 1.0.8-20.fc42              fedora      84.6 KiB
 ca-certificates                   noarch 2024.2.69_v8.0.401-5.fc42  fedora       2.6 MiB
 coreutils-common                  x86_64 9.6-2.fc43                 fedora      11.1 MiB
 crypto-policies                   noarch 20250305-1.gita35b0fa.fc43 fedora     136.4 KiB
 curl                              x86_64 8.13.0~rc2-1.fc43          fedora     457.0 KiB
 cyrus-sasl-lib                    x86_64 2.1.28-30.fc42             fedora       2.3 MiB
 debugedit                         x86_64 5.1-5.fc43                 fedora     192.7 KiB
 dwz                               x86_64 0.15-9.fc42                fedora     291.0 KiB
 ed                                x86_64 1.21-2.fc42                fedora     146.5 KiB
 efi-srpm-macros                   noarch 6-3.fc43                   fedora      40.1 KiB
 elfutils                          x86_64 0.192-8.fc42               fedora       2.7 MiB
 elfutils-debuginfod-client        x86_64 0.192-8.fc42               fedora      83.9 KiB
 elfutils-default-yama-scope       noarch 0.192-8.fc42               fedora       1.8 KiB
 elfutils-libelf                   x86_64 0.192-8.fc42               fedora       1.2 MiB
 elfutils-libs                     x86_64 0.192-8.fc42               fedora     675.0 KiB
 fedora-gpg-keys                   noarch 43-0.1                     fedora     128.2 KiB
 fedora-release                    noarch 43-0.7                     fedora       0.0   B
 fedora-release-identity-basic     noarch 43-0.7                     fedora     719.0   B
 fedora-repos                      noarch 43-0.1                     fedora       4.9 KiB
 fedora-repos-rawhide              noarch 43-0.1                     fedora       2.2 KiB
 file                              x86_64 5.46-1.fc42                copr_base  100.2 KiB
 file-libs                         x86_64 5.46-1.fc42                copr_base   11.9 MiB
 filesystem                        x86_64 3.18-38.fc43               fedora     112.0   B
 filesystem-srpm-macros            noarch 3.18-38.fc43               fedora      38.2 KiB
 fonts-srpm-macros                 noarch 1:2.0.5-21.fc42            fedora      55.8 KiB
 forge-srpm-macros                 noarch 0.4.0-2.fc42               fedora      38.9 KiB
 fpc-srpm-macros                   noarch 1.3-14.fc42                fedora     144.0   B
 gdb-minimal                       x86_64 16.2-1.fc43                fedora      13.3 MiB
 gdbm-libs                         x86_64 1:1.23-9.fc42              fedora     129.9 KiB
 ghc-srpm-macros                   noarch 1.9.2-2.fc42               fedora     779.0   B
 glibc                             x86_64 2.41.9000-2.fc43           fedora       6.7 MiB
 glibc-common                      x86_64 2.41.9000-2.fc43           fedora       1.0 MiB
 glibc-gconv-extra                 x86_64 2.41.9000-2.fc43           fedora       7.2 MiB
 gmp                               x86_64 1:6.3.0-3.fc43             fedora     819.2 KiB
 gnat-srpm-macros                  noarch 6-7.fc42                   fedora       1.0 KiB
 go-srpm-macros                    noarch 3.6.0-6.fc42               fedora      60.8 KiB
 jansson                           x86_64 2.14-2.fc42                fedora      93.1 KiB
 json-c                            x86_64 0.18-2.fc42                fedora      86.7 KiB
 kernel-srpm-macros                noarch 1.0-25.fc42                fedora       1.9 KiB
 keyutils-libs                     x86_64 1.6.3-5.fc42               fedora      58.3 KiB
 krb5-libs                         x86_64 1.21.3-5.fc42              fedora       2.3 MiB
 libacl                            x86_64 2.3.2-3.fc42               fedora      38.3 KiB
 libarchive                        x86_64 3.7.7-4.fc43               fedora     930.6 KiB
 libattr                           x86_64 2.5.2-5.fc42               fedora      27.1 KiB
 libblkid                          x86_64 2.40.4-7.fc43              copr_base  262.4 KiB
 libbrotli                         x86_64 1.1.0-6.fc42               copr_base  836.4 KiB
 libcap                            x86_64 2.73-2.fc42                fedora     207.1 KiB
 libcap-ng                         x86_64 0.8.5-4.fc42               copr_base   70.8 KiB
 libcom_err                        x86_64 1.47.2-3.fc42              fedora      67.1 KiB
 libcurl                           x86_64 8.13.0~rc2-1.fc43          fedora     870.4 KiB
 libeconf                          x86_64 0.7.6-1.fc43               fedora      64.6 KiB
 libevent                          x86_64 2.1.12-15.fc42             fedora     903.1 KiB
 libfdisk                          x86_64 2.40.4-7.fc43              copr_base  372.3 KiB
 libffi                            x86_64 3.4.7-2.fc43               fedora      82.6 KiB
 libgcc                            x86_64 15.0.1-0.10.fc43           fedora     266.6 KiB
 libgomp                           x86_64 15.0.1-0.10.fc43           fedora     535.9 KiB
 libidn2                           x86_64 2.3.8-1.fc43               fedora     552.5 KiB
 libmount                          x86_64 2.40.4-7.fc43              copr_base  356.2 KiB
 libnghttp2                        x86_64 1.65.0-1.fc43              fedora     162.2 KiB
 libpkgconf                        x86_64 2.3.0-2.fc42               fedora      78.1 KiB
 libpsl                            x86_64 0.21.5-5.fc42              fedora      76.4 KiB
 libselinux                        x86_64 3.8-1.fc42                 fedora     193.1 KiB
 libsemanage                       x86_64 3.8-1.fc42                 fedora     308.4 KiB
 libsepol                          x86_64 3.8-1.fc42                 fedora     826.0 KiB
 libsmartcols                      x86_64 2.40.4-7.fc43              copr_base  180.4 KiB
 libssh                            x86_64 0.11.1-4.fc42              fedora     565.5 KiB
 libssh-config                     noarch 0.11.1-4.fc42              fedora     277.0   B
 libstdc++                         x86_64 15.0.1-0.10.fc43           fedora       2.8 MiB
 libtasn1                          x86_64 4.20.0-1.fc43              fedora     176.3 KiB
 libtool-ltdl                      x86_64 2.5.4-4.fc42               fedora      70.1 KiB
 libunistring                      x86_64 1.1-9.fc42                 fedora       1.7 MiB
 libuuid                           x86_64 2.40.4-7.fc43              copr_base   37.3 KiB
 libverto                          x86_64 0.3.2-10.fc42              fedora      25.4 KiB
 libxcrypt                         x86_64 4.4.38-6.fc43              fedora     284.5 KiB
 libxml2                           x86_64 2.12.10-1.fc43             fedora       1.7 MiB
 libzstd                           x86_64 1.5.7-1.fc43               fedora     807.8 KiB
 lua-libs                          x86_64 5.4.7-3.fc43               fedora     276.9 KiB
 lua-srpm-macros                   noarch 1-15.fc42                  fedora       1.3 KiB
 lz4-libs                          x86_64 1.10.0-2.fc42              fedora     157.4 KiB
 mpfr                              x86_64 4.2.2-1.fc43               fedora     828.8 KiB
 ncurses-base                      noarch 6.5-5.20250125.fc42        fedora     326.8 KiB
 ncurses-libs                      x86_64 6.5-5.20250125.fc42        fedora     946.3 KiB
 ocaml-srpm-macros                 noarch 10-4.fc42                  fedora       1.9 KiB
 openblas-srpm-macros              noarch 2-19.fc42                  fedora     112.0   B
 openldap                          x86_64 2.6.9-3.fc42               fedora     655.1 KiB
 openssl-libs                      x86_64 1:3.2.4-3.fc43             fedora       7.8 MiB
 p11-kit                           x86_64 0.25.5-5.fc42              fedora       2.2 MiB
 p11-kit-trust                     x86_64 0.25.5-5.fc42              fedora     395.5 KiB
 package-notes-srpm-macros         noarch 0.5-13.fc42                fedora       1.6 KiB
 pam-libs                          x86_64 1.7.0-4.fc42               fedora     126.7 KiB
 pcre2                             x86_64 10.45-1.fc43               fedora     697.7 KiB
 pcre2-syntax                      noarch 10.45-1.fc43               fedora     273.9 KiB
 perl-srpm-macros                  noarch 1-57.fc42                  fedora     861.0   B
 pkgconf                           x86_64 2.3.0-2.fc42               fedora      88.5 KiB
 pkgconf-m4                        noarch 2.3.0-2.fc42               fedora      14.4 KiB
 pkgconf-pkg-config                x86_64 2.3.0-2.fc42               fedora     989.0   B
 popt                              x86_64 1.19-8.fc42                fedora     132.8 KiB
 publicsuffix-list-dafsa           noarch 20250116-1.fc42            fedora      68.5 KiB
 pyproject-srpm-macros             noarch 1.17.0-1.fc43              fedora       1.9 KiB
 python-srpm-macros                noarch 3.13-4.fc42                fedora      51.0 KiB
 qt5-srpm-macros                   noarch 5.15.16-1.fc43             fedora     500.0   B
 qt6-srpm-macros                   noarch 6.8.2-2.fc43               fedora     464.0   B
 readline                          x86_64 8.2-13.fc43                fedora     485.0 KiB
 rpm                               x86_64 4.20.1-1.fc43              copr_base    3.1 MiB
 rpm-build-libs                    x86_64 4.20.1-1.fc43              copr_base  206.6 KiB
 rpm-libs                          x86_64 4.20.1-1.fc43              copr_base  725.8 KiB
 rpm-sequoia                       x86_64 1.7.0-5.fc43               fedora       2.4 MiB
 rust-srpm-macros                  noarch 26.3-4.fc42                fedora       4.8 KiB
 setup                             noarch 2.15.0-23.fc43             fedora     724.7 KiB
 sqlite-libs                       x86_64 3.49.0-1.fc43              fedora       1.5 MiB
 systemd-libs                      x86_64 257.4-3.fc43               fedora       2.2 MiB
 systemd-standalone-sysusers       x86_64 257.4-3.fc43               fedora     273.3 KiB
 tree-sitter-srpm-macros           noarch 0.2.0-1.fc43               fedora       6.9 KiB
 util-linux-core                   x86_64 2.40.4-7.fc43              copr_base    1.4 MiB
 xxhash-libs                       x86_64 0.8.3-2.fc42               fedora      90.2 KiB
 xz-libs                           x86_64 1:5.6.3-3.fc42             fedora     218.3 KiB
 zig-srpm-macros                   noarch 1-4.fc42                   fedora       1.1 KiB
 zip                               x86_64 3.0-43.fc42                fedora     698.5 KiB
 zlib-ng-compat                    x86_64 2.2.4-2.fc43               fedora     137.6 KiB
 zstd                              x86_64 1.5.7-1.fc43               fedora       1.7 MiB
Installing groups:
 Buildsystem building group                                                              

Transaction Summary:
 Installing:       148 packages

Total size of inbound packages is 52 MiB. Need to download 52 MiB.
After this operation, 177 MiB extra will be used (install 177 MiB, remove 0 B).
[  1/148] bzip2-0:1.0.8-20.fc42.x86_64  100% | 426.8 KiB/s |  52.1 KiB |  00m00s
[  2/148] cpio-0:2.15-2.fc41.x86_64     100% |   4.0 MiB/s | 291.8 KiB |  00m00s
[  3/148] coreutils-0:9.6-2.fc43.x86_64 100% |   5.6 MiB/s |   1.1 MiB |  00m00s
[  4/148] bash-0:5.2.37-3.fc43.x86_64   100% |   8.2 MiB/s |   1.8 MiB |  00m00s
[  5/148] fedora-release-common-0:43-0. 100% |   1.3 MiB/s |  25.7 KiB |  00m00s
[  6/148] diffutils-0:3.10-9.fc42.x86_6 100% |   7.7 MiB/s | 404.6 KiB |  00m00s
[  7/148] findutils-1:4.10.0-5.fc42.x86 100% |  19.2 MiB/s | 551.5 KiB |  00m00s
[  8/148] glibc-minimal-langpack-0:2.41 100% |   5.2 MiB/s | 127.9 KiB |  00m00s
[  9/148] gzip-0:1.13-3.fc42.x86_64     100% |   7.2 MiB/s | 170.4 KiB |  00m00s
[ 10/148] grep-0:3.11-10.fc42.x86_64    100% |  10.1 MiB/s | 300.1 KiB |  00m00s
[ 11/148] info-0:7.2-3.fc42.x86_64      100% |   7.2 MiB/s | 183.8 KiB |  00m00s
[ 12/148] patch-0:2.7.6-26.fc42.x86_64  100% |   5.5 MiB/s | 128.4 KiB |  00m00s
[ 13/148] redhat-rpm-config-0:342-2.fc4 100% |   3.5 MiB/s |  81.6 KiB |  00m00s
[ 14/148] sed-0:4.9-4.fc42.x86_64       100% |  11.9 MiB/s | 317.3 KiB |  00m00s
[ 15/148] unzip-0:6.0-66.fc42.x86_64    100% |   5.5 MiB/s | 184.6 KiB |  00m00s
[ 16/148] which-0:2.23-1.fc42.x86_64    100% |   1.9 MiB/s |  41.7 KiB |  00m00s
[ 17/148] tar-2:1.35-5.fc42.x86_64      100% |  12.6 MiB/s | 862.5 KiB |  00m00s
[ 18/148] shadow-utils-2:4.17.4-1.fc43. 100% |  16.1 MiB/s |   1.3 MiB |  00m00s
[ 19/148] xz-1:5.6.3-3.fc42.x86_64      100% |  17.2 MiB/s | 474.9 KiB |  00m00s
[ 20/148] gawk-0:5.3.1-1.fc42.x86_64    100% |  23.5 MiB/s |   1.1 MiB |  00m00s
[ 21/148] rpm-build-0:4.20.1-1.fc43.x86 100% |   1.6 MiB/s |  74.8 KiB |  00m00s
[ 22/148] filesystem-0:3.18-38.fc43.x86 100% |  18.7 MiB/s |   1.3 MiB |  00m00s
[ 23/148] util-linux-0:2.40.4-7.fc43.x8 100% |   8.6 MiB/s |   1.1 MiB |  00m00s
[ 24/148] ncurses-libs-0:6.5-5.20250125 100% |   9.6 MiB/s | 335.0 KiB |  00m00s
[ 25/148] glibc-0:2.41.9000-2.fc43.x86_ 100% |  21.7 MiB/s |   2.3 MiB |  00m00s
[ 26/148] bzip2-libs-0:1.0.8-20.fc42.x8 100% |   2.0 MiB/s |  43.6 KiB |  00m00s
[ 27/148] gmp-1:6.3.0-3.fc43.x86_64     100% |  11.7 MiB/s | 322.2 KiB |  00m00s
[ 28/148] libacl-0:2.3.2-3.fc42.x86_64  100% | 958.6 KiB/s |  23.0 KiB |  00m00s
[ 29/148] libattr-0:2.5.2-5.fc42.x86_64 100% | 610.1 KiB/s |  17.1 KiB |  00m00s
[ 30/148] libcap-0:2.73-2.fc42.x86_64   100% |   2.9 MiB/s |  84.3 KiB |  00m00s
[ 31/148] coreutils-common-0:9.6-2.fc43 100% |  27.4 MiB/s |   2.1 MiB |  00m00s
[ 32/148] fedora-repos-0:43-0.1.noarch  100% | 309.1 KiB/s |   9.3 KiB |  00m00s
[ 33/148] glibc-common-0:2.41.9000-2.fc 100% |  10.7 MiB/s | 415.0 KiB |  00m00s
[ 34/148] systemd-libs-0:257.4-3.fc43.x 100% |   8.7 MiB/s | 804.5 KiB |  00m00s
[ 35/148] pcre2-0:10.45-1.fc43.x86_64   100% |   7.8 MiB/s | 262.8 KiB |  00m00s
[ 36/148] ed-0:1.21-2.fc42.x86_64       100% |   2.5 MiB/s |  82.0 KiB |  00m00s
[ 37/148] openssl-libs-1:3.2.4-3.fc43.x 100% |  18.1 MiB/s |   2.3 MiB |  00m00s
[ 38/148] ansible-srpm-macros-0:1-17.1. 100% |   1.0 MiB/s |  20.3 KiB |  00m00s
[ 39/148] build-reproducibility-srpm-ma 100% | 486.8 KiB/s |  11.7 KiB |  00m00s
[ 40/148] dwz-0:0.15-9.fc42.x86_64      100% |   5.8 MiB/s | 135.7 KiB |  00m00s
[ 41/148] efi-srpm-macros-0:6-3.fc43.no 100% |   1.0 MiB/s |  22.5 KiB |  00m00s
[ 42/148] filesystem-srpm-macros-0:3.18 100% |   1.1 MiB/s |  25.5 KiB |  00m00s
[ 43/148] fonts-srpm-macros-1:2.0.5-21. 100% |   1.2 MiB/s |  27.1 KiB |  00m00s
[ 44/148] forge-srpm-macros-0:0.4.0-2.f 100% | 902.3 KiB/s |  19.9 KiB |  00m00s
[ 45/148] ghc-srpm-macros-0:1.9.2-2.fc4 100% | 339.1 KiB/s |   9.2 KiB |  00m00s
[ 46/148] fpc-srpm-macros-0:1.3-14.fc42 100% | 276.5 KiB/s |   8.0 KiB |  00m00s
[ 47/148] gnat-srpm-macros-0:6-7.fc42.n 100% | 307.5 KiB/s |   8.6 KiB |  00m00s
[ 48/148] kernel-srpm-macros-0:1.0-25.f 100% | 329.0 KiB/s |   9.9 KiB |  00m00s
[ 49/148] lua-srpm-macros-0:1-15.fc42.n 100% | 297.2 KiB/s |   8.9 KiB |  00m00s
[ 50/148] ocaml-srpm-macros-0:10-4.fc42 100% | 340.9 KiB/s |   9.2 KiB |  00m00s
[ 51/148] openblas-srpm-macros-0:2-19.f 100% | 298.7 KiB/s |   7.8 KiB |  00m00s
[ 52/148] package-notes-srpm-macros-0:0 100% | 308.7 KiB/s |   9.3 KiB |  00m00s
[ 53/148] perl-srpm-macros-0:1-57.fc42. 100% | 303.8 KiB/s |   8.5 KiB |  00m00s
[ 54/148] pyproject-srpm-macros-0:1.17. 100% | 466.0 KiB/s |  14.0 KiB |  00m00s
[ 55/148] qt5-srpm-macros-0:5.15.16-1.f 100% | 399.4 KiB/s |   8.8 KiB |  00m00s
[ 56/148] qt6-srpm-macros-0:6.8.2-2.fc4 100% | 344.4 KiB/s |   9.3 KiB |  00m00s
[ 57/148] tree-sitter-srpm-macros-0:0.2 100% | 410.2 KiB/s |  11.9 KiB |  00m00s
[ 58/148] go-srpm-macros-0:3.6.0-6.fc42 100% | 136.9 KiB/s |  27.7 KiB |  00m00s
[ 59/148] zig-srpm-macros-0:1-4.fc42.no 100% | 358.4 KiB/s |   8.2 KiB |  00m00s
[ 60/148] zip-0:3.0-43.fc42.x86_64      100% |   8.3 MiB/s | 263.5 KiB |  00m00s
[ 61/148] libeconf-0:0.7.6-1.fc43.x86_6 100% |   1.7 MiB/s |  35.2 KiB |  00m00s
[ 62/148] libxcrypt-0:4.4.38-6.fc43.x86 100% |   5.0 MiB/s | 127.3 KiB |  00m00s
[ 63/148] pam-libs-0:1.7.0-4.fc42.x86_6 100% |   2.7 MiB/s |  58.3 KiB |  00m00s
[ 64/148] setup-0:2.15.0-23.fc43.noarch 100% |   5.7 MiB/s | 157.2 KiB |  00m00s
[ 65/148] xz-libs-1:5.6.3-3.fc42.x86_64 100% |   5.0 MiB/s | 113.4 KiB |  00m00s
[ 66/148] readline-0:8.2-13.fc43.x86_64 100% |   8.3 MiB/s | 212.9 KiB |  00m00s
[ 67/148] debugedit-0:5.1-5.fc43.x86_64 100% |   2.8 MiB/s |  78.6 KiB |  00m00s
[ 68/148] elfutils-0:0.192-8.fc42.x86_6 100% |  16.3 MiB/s | 551.0 KiB |  00m00s
[ 69/148] python-srpm-macros-0:3.13-4.f 100% |  75.3 KiB/s |  23.0 KiB |  00m00s
[ 70/148] elfutils-libelf-0:0.192-8.fc4 100% |   7.8 MiB/s | 208.1 KiB |  00m00s
[ 71/148] popt-0:1.19-8.fc42.x86_64     100% |   2.9 MiB/s |  66.0 KiB |  00m00s
[ 72/148] zstd-0:1.5.7-1.fc43.x86_64    100% |  15.3 MiB/s | 485.8 KiB |  00m00s
[ 73/148] zlib-ng-compat-0:2.2.4-2.fc43 100% |   3.1 MiB/s |  79.1 KiB |  00m00s
[ 74/148] mpfr-0:4.2.2-1.fc43.x86_64    100% |   1.1 MiB/s | 346.7 KiB |  00m00s
[ 75/148] glibc-gconv-extra-0:2.41.9000 100% |  11.0 MiB/s |   1.7 MiB |  00m00s
[ 76/148] ncurses-base-0:6.5-5.20250125 100% |   3.9 MiB/s |  88.1 KiB |  00m00s
[ 77/148] ca-certificates-0:2024.2.69_v 100% |   7.6 MiB/s | 945.0 KiB |  00m00s
[ 78/148] crypto-policies-0:20250305-1. 100% |   3.6 MiB/s |  95.8 KiB |  00m00s
[ 79/148] fedora-gpg-keys-0:43-0.1.noar 100% |   2.1 MiB/s | 135.6 KiB |  00m00s
[ 80/148] fedora-repos-rawhide-0:43-0.1 100% | 384.5 KiB/s |   8.8 KiB |  00m00s
[ 81/148] libgcc-0:15.0.1-0.10.fc43.x86 100% | 344.4 KiB/s | 119.8 KiB |  00m00s
[ 82/148] pcre2-syntax-0:10.45-1.fc43.n 100% |   1.6 MiB/s | 161.7 KiB |  00m00s
[ 83/148] elfutils-libs-0:0.192-8.fc42. 100% |   1.4 MiB/s | 265.9 KiB |  00m00s
[ 84/148] elfutils-debuginfod-client-0: 100% |   1.1 MiB/s |  46.5 KiB |  00m00s
[ 85/148] libstdc++-0:15.0.1-0.10.fc43. 100% |   2.4 MiB/s | 896.0 KiB |  00m00s
[ 86/148] add-determinism-0:0.6.0-1.fc4 100% |   1.3 MiB/s | 918.3 KiB |  00m01s
[ 87/148] lz4-libs-0:1.10.0-2.fc42.x86_ 100% |   1.5 MiB/s |  78.1 KiB |  00m00s
[ 88/148] elfutils-default-yama-scope-0 100% | 449.9 KiB/s |  12.6 KiB |  00m00s
[ 89/148] libarchive-0:3.7.7-4.fc43.x86 100% | 313.1 KiB/s | 411.7 KiB |  00m01s
[ 90/148] libzstd-0:1.5.7-1.fc43.x86_64 100% |   2.1 MiB/s | 314.8 KiB |  00m00s
[ 91/148] audit-libs-0:4.0.3-2.fc42.x86 100% |   5.9 MiB/s | 125.8 KiB |  00m00s
[ 92/148] json-c-0:0.18-2.fc42.x86_64   100% |   1.2 MiB/s |  44.9 KiB |  00m00s
[ 93/148] libcap-ng-0:0.8.5-4.fc42.x86_ 100% |   3.0 MiB/s |  30.7 KiB |  00m00s
[ 94/148] libblkid-0:2.40.4-7.fc43.x86_ 100% |   6.3 MiB/s | 123.0 KiB |  00m00s
[ 95/148] libfdisk-0:2.40.4-7.fc43.x86_ 100% |   8.2 MiB/s | 158.7 KiB |  00m00s
[ 96/148] libmount-0:2.40.4-7.fc43.x86_ 100% |   8.0 MiB/s | 155.5 KiB |  00m00s
[ 97/148] libsmartcols-0:2.40.4-7.fc43. 100% |   4.0 MiB/s |  81.7 KiB |  00m00s
[ 98/148] libuuid-0:2.40.4-7.fc43.x86_6 100% |   2.8 MiB/s |  25.8 KiB |  00m00s
[ 99/148] util-linux-core-0:2.40.4-7.fc 100% |  20.1 MiB/s | 514.3 KiB |  00m00s
[100/148] libselinux-0:3.8-1.fc42.x86_6 100% |   1.1 MiB/s |  97.1 KiB |  00m00s
[101/148] alternatives-0:1.32-1.fc43.x8 100% | 513.9 KiB/s |  41.6 KiB |  00m00s
[102/148] libsepol-0:3.8-1.fc42.x86_64  100% |   1.9 MiB/s | 348.9 KiB |  00m00s
[103/148] file-0:5.46-1.fc42.x86_64     100% |   4.4 MiB/s |  49.2 KiB |  00m00s
[104/148] jansson-0:2.14-2.fc42.x86_64  100% | 993.9 KiB/s |  45.7 KiB |  00m00s
[105/148] pkgconf-pkg-config-0:2.3.0-2. 100% | 451.1 KiB/s |   9.9 KiB |  00m00s
[106/148] pkgconf-m4-0:2.3.0-2.fc42.noa 100% | 593.1 KiB/s |  14.2 KiB |  00m00s
[107/148] pkgconf-0:2.3.0-2.fc42.x86_64 100% | 975.8 KiB/s |  44.9 KiB |  00m00s
[108/148] libpkgconf-0:2.3.0-2.fc42.x86 100% |   1.3 MiB/s |  38.4 KiB |  00m00s
[109/148] rpm-0:4.20.1-1.fc43.x86_64    100% |  21.0 MiB/s | 516.2 KiB |  00m00s
[110/148] rpm-build-libs-0:4.20.1-1.fc4 100% |   5.4 MiB/s | 100.3 KiB |  00m00s
[111/148] libgomp-0:15.0.1-0.10.fc43.x8 100% |   3.8 MiB/s | 353.5 KiB |  00m00s
[112/148] curl-0:8.13.0~rc2-1.fc43.x86_ 100% |   1.9 MiB/s | 227.9 KiB |  00m00s
[113/148] rpm-libs-0:4.20.1-1.fc43.x86_ 100% |  14.8 MiB/s | 317.5 KiB |  00m00s
[114/148] lua-libs-0:5.4.7-3.fc43.x86_6 100% |   2.5 MiB/s | 130.4 KiB |  00m00s
[115/148] sqlite-libs-0:3.49.0-1.fc43.x 100% |   5.0 MiB/s | 766.3 KiB |  00m00s
[116/148] file-libs-0:5.46-1.fc42.x86_6 100% |  23.1 MiB/s | 849.9 KiB |  00m00s
[117/148] libsemanage-0:3.8-1.fc42.x86_ 100% |   2.7 MiB/s | 123.6 KiB |  00m00s
[118/148] rust-srpm-macros-0:26.3-4.fc4 100% | 532.0 KiB/s |  11.7 KiB |  00m00s
[119/148] rpm-sequoia-0:1.7.0-5.fc43.x8 100% |   2.7 MiB/s | 911.1 KiB |  00m00s
[120/148] libffi-0:3.4.7-2.fc43.x86_64  100% |   1.2 MiB/s |  40.0 KiB |  00m00s
[121/148] libxml2-0:2.12.10-1.fc43.x86_ 100% |   6.5 MiB/s | 682.9 KiB |  00m00s
[122/148] libtasn1-0:4.20.0-1.fc43.x86_ 100% |   2.2 MiB/s |  75.0 KiB |  00m00s
[123/148] p11-kit-trust-0:0.25.5-5.fc42 100% |   3.3 MiB/s | 132.6 KiB |  00m00s
[124/148] binutils-0:2.44-3.fc43.x86_64 100% |   7.0 MiB/s |   5.8 MiB |  00m01s
[125/148] xxhash-libs-0:0.8.3-2.fc42.x8 100% |   1.5 MiB/s |  39.1 KiB |  00m00s
[126/148] p11-kit-0:0.25.5-5.fc42.x86_6 100% |   3.0 MiB/s | 491.7 KiB |  00m00s
[127/148] fedora-release-0:43-0.7.noarc 100% | 737.0 KiB/s |  14.7 KiB |  00m00s
[128/148] fedora-release-identity-basic 100% | 621.8 KiB/s |  15.5 KiB |  00m00s
[129/148] libcurl-0:8.13.0~rc2-1.fc43.x 100% |   7.5 MiB/s | 389.3 KiB |  00m00s
[130/148] libidn2-0:2.3.8-1.fc43.x86_64 100% |   2.4 MiB/s | 174.8 KiB |  00m00s
[131/148] libnghttp2-0:1.65.0-1.fc43.x8 100% |   2.6 MiB/s |  72.6 KiB |  00m00s
[132/148] libpsl-0:0.21.5-5.fc42.x86_64 100% |   2.5 MiB/s |  64.0 KiB |  00m00s
[133/148] libssh-0:0.11.1-4.fc42.x86_64 100% |   6.0 MiB/s | 233.3 KiB |  00m00s
[134/148] krb5-libs-0:1.21.3-5.fc42.x86 100% |   3.4 MiB/s | 764.7 KiB |  00m00s
[135/148] openldap-0:2.6.9-3.fc42.x86_6 100% |   5.2 MiB/s | 260.2 KiB |  00m00s
[136/148] libcom_err-0:1.47.2-3.fc42.x8 100% | 868.6 KiB/s |  26.9 KiB |  00m00s
[137/148] keyutils-libs-0:1.6.3-5.fc42. 100% | 328.5 KiB/s |  31.5 KiB |  00m00s
[138/148] libverto-0:0.3.2-10.fc42.x86_ 100% | 671.0 KiB/s |  20.8 KiB |  00m00s
[139/148] publicsuffix-list-dafsa-0:202 100% |   1.9 MiB/s |  58.8 KiB |  00m00s
[140/148] gdb-minimal-0:16.2-1.fc43.x86 100% |   8.9 MiB/s |   4.4 MiB |  00m01s
[141/148] libunistring-0:1.1-9.fc42.x86 100% |   3.7 MiB/s | 542.5 KiB |  00m00s
[142/148] libssh-config-0:0.11.1-4.fc42 100% |  58.8 KiB/s |   9.0 KiB |  00m00s
[143/148] cyrus-sasl-lib-0:2.1.28-30.fc 100% |   8.6 MiB/s | 793.5 KiB |  00m00s
[144/148] libevent-0:2.1.12-15.fc42.x86 100% |   3.5 MiB/s | 260.2 KiB |  00m00s
[145/148] gdbm-libs-1:1.23-9.fc42.x86_6 100% |   1.6 MiB/s |  57.0 KiB |  00m00s
[146/148] libbrotli-0:1.1.0-6.fc42.x86_ 100% |   6.0 MiB/s | 335.7 KiB |  00m00s
[147/148] systemd-standalone-sysusers-0 100% |   2.0 MiB/s | 155.4 KiB |  00m00s
[148/148] libtool-ltdl-0:2.5.4-4.fc42.x 100% | 180.9 KiB/s |  36.2 KiB |  00m00s
--------------------------------------------------------------------------------
[148/148] Total                         100% |  12.3 MiB/s |  52.2 MiB |  00m04s
Running transaction
Importing OpenPGP key 0x31645531:
 UserID     : "Fedora (43) <fedora-43-primary@fedoraproject.org>"
 Fingerprint: C6E7F081CF80E13146676E88829B606631645531
 From       : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-43-primary
The key was successfully imported.
Importing OpenPGP key 0x105EF944:
 UserID     : "Fedora (42) <fedora-42-primary@fedoraproject.org>"
 Fingerprint: B0F4950458F69E1150C6C5EDC8AC4916105EF944
 From       : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-42-primary
The key was successfully imported.
Importing OpenPGP key 0x6D9F90A6:
 UserID     : "Fedora (44) <fedora-44-primary@fedoraproject.org>"
 Fingerprint: 36F612DCF27F7D1A48A835E4DBFCF71C6D9F90A6
 From       : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-44-primary
The key was successfully imported.
[  1/150] Verify package files          100% | 701.0   B/s | 148.0   B |  00m00s
>>> Running pre-transaction scriptlet: filesystem-0:3.18-38.fc43.x86_64         
>>> Finished pre-transaction scriptlet: filesystem-0:3.18-38.fc43.x86_64        
>>> [RPM] /var/lib/mock/fedora-rawhide-x86_64-1742675702.538584/root/var/cache/d
[  2/150] Prepare transaction           100% |   1.8 KiB/s | 148.0   B |  00m00s
[  3/150] Installing libgcc-0:15.0.1-0. 100% | 131.0 MiB/s | 268.3 KiB |  00m00s
[  4/150] Installing libssh-config-0:0. 100% |   0.0   B/s | 816.0   B |  00m00s
[  5/150] Installing publicsuffix-list- 100% |  67.6 MiB/s |  69.2 KiB |  00m00s
[  6/150] Installing fedora-release-ide 100% |   0.0   B/s | 976.0   B |  00m00s
[  7/150] Installing fedora-repos-rawhi 100% |   2.4 MiB/s |   2.4 KiB |  00m00s
[  8/150] Installing fedora-gpg-keys-0: 100% |  19.0 MiB/s | 174.8 KiB |  00m00s
[  9/150] Installing fedora-repos-0:43- 100% |   0.0   B/s |   5.7 KiB |  00m00s
[ 10/150] Installing fedora-release-com 100% |  12.0 MiB/s |  24.6 KiB |  00m00s
[ 11/150] Installing fedora-release-0:4 100% |   7.6 KiB/s | 124.0   B |  00m00s
>>> Running unknown scriptlet: setup-0:2.15.0-23.fc43.noarch                    
>>> Finished unknown scriptlet: setup-0:2.15.0-23.fc43.noarch                   
>>> Scriptlet output:                                                           
>>> Creating group 'adm' with GID 4.                                            
>>> Creating group 'audio' with GID 63.                                         
>>> Creating group 'cdrom' with GID 11.                                         
>>> Creating group 'clock' with GID 103.                                        
>>> Creating group 'dialout' with GID 18.                                       
>>> Creating group 'disk' with GID 6.                                           
>>> Creating group 'floppy' with GID 19.                                        
>>> Creating group 'ftp' with GID 50.                                           
>>> Creating group 'games' with GID 20.                                         
>>> Creating group 'input' with GID 104.                                        
>>> Creating group 'kmem' with GID 9.                                           
>>> Creating group 'kvm' with GID 36.                                           
>>> Creating group 'lock' with GID 54.                                          
>>> Creating group 'lp' with GID 7.                                             
>>> Creating group 'mail' with GID 12.                                          
>>> Creating group 'man' with GID 15.                                           
>>> Creating group 'mem' with GID 8.                                            
>>> Creating group 'nobody' with GID 65534.                                     
>>> Creating group 'render' with GID 105.                                       
>>> Creating group 'root' with GID 0.                                           
>>> Creating group 'sgx' with GID 106.                                          
>>> Creating group 'sys' with GID 3.                                            
>>> Creating group 'tape' with GID 33.                                          
>>> Creating group 'tty' with GID 5.                                            
>>> Creating group 'users' with GID 100.                                        
>>> Creating group 'utmp' with GID 22.                                          
>>> Creating group 'video' with GID 39.                                         
>>> Creating group 'wheel' with GID 10.                                         
>>> Creating user 'adm' (adm) with UID 3 and GID 4.                             
>>> Creating group 'bin' with GID 1.                                            
>>> Creating user 'bin' (bin) with UID 1 and GID 1.                             
>>> Creating group 'daemon' with GID 2.                                         
>>> Creating user 'daemon' (daemon) with UID 2 and GID 2.                       
>>> Creating user 'ftp' (FTP User) with UID 14 and GID 50.                      
>>> Creating user 'games' (games) with UID 12 and GID 100.                      
>>> Creating user 'halt' (halt) with UID 7 and GID 0.                           
>>> Creating user 'lp' (lp) with UID 4 and GID 7.                               
>>> Creating user 'mail' (mail) with UID 8 and GID 12.                          
>>> Creating user 'nobody' (Kernel Overflow User) with UID 65534 and GID 65534. 
>>> Creating user 'operator' (operator) with UID 11 and GID 0.                  
>>> Creating user 'root' (Super User) with UID 0 and GID 0.                     
>>> Creating user 'shutdown' (shutdown) with UID 6 and GID 0.                   
>>> Creating user 'sync' (sync) with UID 5 and GID 0.                           
>>>                                                                             
[ 12/150] Installing setup-0:2.15.0-23. 100% |  39.6 MiB/s | 730.3 KiB |  00m00s
>>> [RPM] /etc/hosts created as /etc/hosts.rpmnew                               
[ 13/150] Installing filesystem-0:3.18- 100% |   1.3 MiB/s | 212.4 KiB |  00m00s
[ 14/150] Installing rust-srpm-macros-0 100% |   5.4 MiB/s |   5.6 KiB |  00m00s
[ 15/150] Installing pkgconf-m4-0:2.3.0 100% |  14.5 MiB/s |  14.8 KiB |  00m00s
[ 16/150] Installing pcre2-syntax-0:10. 100% |   4.0 MiB/s | 276.4 KiB |  00m00s
[ 17/150] Installing ncurses-base-0:6.5 100% |  31.3 MiB/s | 352.2 KiB |  00m00s
[ 18/150] Installing glibc-minimal-lang 100% | 121.1 KiB/s | 124.0   B |  00m00s
[ 19/150] Installing ncurses-libs-0:6.5 100% |  44.3 MiB/s | 952.8 KiB |  00m00s
[ 20/150] Installing glibc-0:2.41.9000- 100% |  56.0 MiB/s |   6.7 MiB |  00m00s
[ 21/150] Installing bash-0:5.2.37-3.fc 100% |  57.2 MiB/s |   8.2 MiB |  00m00s
[ 22/150] Installing glibc-common-0:2.4 100% |  46.4 MiB/s |   1.0 MiB |  00m00s
[ 23/150] Installing glibc-gconv-extra- 100% |  88.1 MiB/s |   7.3 MiB |  00m00s
[ 24/150] Installing zlib-ng-compat-0:2 100% |  13.5 MiB/s | 138.4 KiB |  00m00s
[ 25/150] Installing bzip2-libs-0:1.0.8 100% |  83.7 MiB/s |  85.7 KiB |  00m00s
[ 26/150] Installing xz-libs-1:5.6.3-3. 100% | 107.1 MiB/s | 219.4 KiB |  00m00s
[ 27/150] Installing libuuid-0:2.40.4-7 100% |  37.5 MiB/s |  38.4 KiB |  00m00s
[ 28/150] Installing libblkid-0:2.40.4- 100% | 128.6 MiB/s | 263.4 KiB |  00m00s
[ 29/150] Installing gmp-1:6.3.0-3.fc43 100% |  53.5 MiB/s | 821.5 KiB |  00m00s
[ 30/150] Installing libxcrypt-0:4.4.38 100% |  93.5 MiB/s | 287.2 KiB |  00m00s
[ 31/150] Installing readline-0:8.2-13. 100% | 158.6 MiB/s | 487.1 KiB |  00m00s
[ 32/150] Installing popt-0:1.19-8.fc42 100% |  27.2 MiB/s | 139.4 KiB |  00m00s
[ 33/150] Installing libstdc++-0:15.0.1 100% | 122.3 MiB/s |   2.8 MiB |  00m00s
[ 34/150] Installing libzstd-0:1.5.7-1. 100% | 197.5 MiB/s | 809.1 KiB |  00m00s
[ 35/150] Installing elfutils-libelf-0: 100% |  68.8 MiB/s |   1.2 MiB |  00m00s
[ 36/150] Installing libattr-0:2.5.2-5. 100% |  27.4 MiB/s |  28.1 KiB |  00m00s
[ 37/150] Installing libacl-0:2.3.2-3.f 100% |  38.2 MiB/s |  39.2 KiB |  00m00s
[ 38/150] Installing dwz-0:0.15-9.fc42. 100% |  19.0 MiB/s | 292.4 KiB |  00m00s
[ 39/150] Installing mpfr-0:4.2.2-1.fc4 100% |  11.6 MiB/s | 830.4 KiB |  00m00s
[ 40/150] Installing gawk-0:5.3.1-1.fc4 100% |  49.9 MiB/s |   1.7 MiB |  00m00s
[ 41/150] Installing unzip-0:6.0-66.fc4 100% |  27.5 MiB/s | 393.8 KiB |  00m00s
[ 42/150] Installing file-libs-0:5.46-1 100% | 188.2 MiB/s |  11.9 MiB |  00m00s
[ 43/150] Installing file-0:5.46-1.fc42 100% |   1.8 MiB/s | 101.7 KiB |  00m00s
[ 44/150] Installing crypto-policies-0: 100% |  13.1 MiB/s | 161.4 KiB |  00m00s
[ 45/150] Installing pcre2-0:10.45-1.fc 100% | 170.7 MiB/s | 699.1 KiB |  00m00s
[ 46/150] Installing grep-0:3.11-10.fc4 100% |  35.8 MiB/s |   1.0 MiB |  00m00s
[ 47/150] Installing xz-1:5.6.3-3.fc42. 100% |  33.2 MiB/s |   1.2 MiB |  00m00s
[ 48/150] Installing libeconf-0:0.7.6-1 100% |  64.7 MiB/s |  66.2 KiB |  00m00s
[ 49/150] Installing lz4-libs-0:1.10.0- 100% |  77.4 MiB/s | 158.5 KiB |  00m00s
[ 50/150] Installing libcap-ng-0:0.8.5- 100% |  71.0 MiB/s |  72.7 KiB |  00m00s
[ 51/150] Installing audit-libs-0:4.0.3 100% |  38.3 MiB/s | 353.4 KiB |  00m00s
[ 52/150] Installing pam-libs-0:1.7.0-4 100% |  63.1 MiB/s | 129.1 KiB |  00m00s
[ 53/150] Installing libcap-0:2.73-2.fc 100% |  12.9 MiB/s | 212.1 KiB |  00m00s
[ 54/150] Installing systemd-libs-0:257 100% | 117.1 MiB/s |   2.2 MiB |  00m00s
[ 55/150] Installing libsepol-0:3.8-1.f 100% | 134.6 MiB/s | 827.0 KiB |  00m00s
[ 56/150] Installing libselinux-0:3.8-1 100% |  94.9 MiB/s | 194.3 KiB |  00m00s
[ 57/150] Installing findutils-1:4.10.0 100% |  69.4 MiB/s |   1.9 MiB |  00m00s
[ 58/150] Installing sed-0:4.9-4.fc42.x 100% |  30.2 MiB/s | 865.5 KiB |  00m00s
[ 59/150] Installing libmount-0:2.40.4- 100% | 116.3 MiB/s | 357.4 KiB |  00m00s
[ 60/150] Installing libsmartcols-0:2.4 100% |  88.6 MiB/s | 181.5 KiB |  00m00s
[ 61/150] Installing alternatives-0:1.3 100% |   4.8 MiB/s |  63.8 KiB |  00m00s
[ 62/150] Installing lua-libs-0:5.4.7-3 100% | 135.8 MiB/s | 278.1 KiB |  00m00s
[ 63/150] Installing libffi-0:3.4.7-2.f 100% |  82.0 MiB/s |  84.0 KiB |  00m00s
[ 64/150] Installing libtasn1-0:4.20.0- 100% |  43.5 MiB/s | 178.1 KiB |  00m00s
[ 65/150] Installing p11-kit-0:0.25.5-5 100% |  62.4 MiB/s |   2.2 MiB |  00m00s
[ 66/150] Installing libunistring-0:1.1 100% |  24.3 MiB/s |   1.7 MiB |  00m00s
[ 67/150] Installing libidn2-0:2.3.8-1. 100% |  77.9 MiB/s | 558.7 KiB |  00m00s
[ 68/150] Installing libpsl-0:0.21.5-5. 100% |  75.7 MiB/s |  77.5 KiB |  00m00s
[ 69/150] Installing p11-kit-trust-0:0. 100% |   9.0 MiB/s | 397.2 KiB |  00m00s
[ 70/150] Installing util-linux-core-0: 100% |  47.6 MiB/s |   1.4 MiB |  00m00s
[ 71/150] Installing tar-2:1.35-5.fc42. 100% |  92.6 MiB/s |   3.0 MiB |  00m00s
[ 72/150] Installing libsemanage-0:3.8- 100% |   5.1 MiB/s | 310.2 KiB |  00m00s
[ 73/150] Installing shadow-utils-2:4.1 100% |  54.8 MiB/s |   4.1 MiB |  00m00s
[ 74/150] Installing systemd-standalone 100% |  13.4 MiB/s | 273.8 KiB |  00m00s
[ 75/150] Installing zstd-0:1.5.7-1.fc4 100% |  55.2 MiB/s |   1.7 MiB |  00m00s
[ 76/150] Installing zip-0:3.0-43.fc42. 100% |  40.3 MiB/s | 702.4 KiB |  00m00s
[ 77/150] Installing libfdisk-0:2.40.4- 100% | 121.6 MiB/s | 373.5 KiB |  00m00s
[ 78/150] Installing libxml2-0:2.12.10- 100% |  73.8 MiB/s |   1.7 MiB |  00m00s
[ 79/150] Installing bzip2-0:1.0.8-20.f 100% |   7.2 MiB/s | 103.8 KiB |  00m00s
[ 80/150] Installing add-determinism-0: 100% |  85.0 MiB/s |   2.5 MiB |  00m00s
[ 81/150] Installing build-reproducibil 100% |   1.0 MiB/s |   1.0 KiB |  00m00s
[ 82/150] Installing ed-0:1.21-2.fc42.x 100% |  10.4 MiB/s | 148.8 KiB |  00m00s
[ 83/150] Installing patch-0:2.7.6-26.f 100% |  18.1 MiB/s | 260.2 KiB |  00m00s
[ 84/150] Installing filesystem-srpm-ma 100% |  38.0 MiB/s |  38.9 KiB |  00m00s
[ 85/150] Installing elfutils-default-y 100% | 136.2 KiB/s |   2.0 KiB |  00m00s
[ 86/150] Installing elfutils-libs-0:0. 100% |  50.8 MiB/s | 676.7 KiB |  00m00s
[ 87/150] Installing cpio-0:2.15-2.fc41 100% |  17.5 MiB/s |   1.1 MiB |  00m00s
[ 88/150] Installing diffutils-0:3.10-9 100% |  58.9 MiB/s |   1.6 MiB |  00m00s
[ 89/150] Installing json-c-0:0.18-2.fc 100% |  85.9 MiB/s |  88.0 KiB |  00m00s
[ 90/150] Installing jansson-0:2.14-2.f 100% |  46.1 MiB/s |  94.4 KiB |  00m00s
[ 91/150] Installing libpkgconf-0:2.3.0 100% |  77.4 MiB/s |  79.2 KiB |  00m00s
[ 92/150] Installing pkgconf-0:2.3.0-2. 100% |   6.3 MiB/s |  91.0 KiB |  00m00s
[ 93/150] Installing pkgconf-pkg-config 100% | 136.4 KiB/s |   1.8 KiB |  00m00s
[ 94/150] Installing libgomp-0:15.0.1-0 100% |  87.5 MiB/s | 537.3 KiB |  00m00s
[ 95/150] Installing sqlite-libs-0:3.49 100% | 169.3 MiB/s |   1.5 MiB |  00m00s
[ 96/150] Installing xxhash-libs-0:0.8. 100% |   3.2 MiB/s |  91.6 KiB |  00m00s
[ 97/150] Installing libnghttp2-0:1.65. 100% |  79.7 MiB/s | 163.3 KiB |  00m00s
[ 98/150] Installing keyutils-libs-0:1. 100% |  58.3 MiB/s |  59.7 KiB |  00m00s
[ 99/150] Installing libcom_err-0:1.47. 100% |  66.6 MiB/s |  68.2 KiB |  00m00s
[100/150] Installing libverto-0:0.3.2-1 100% |  26.6 MiB/s |  27.2 KiB |  00m00s
[101/150] Installing libtool-ltdl-0:2.5 100% |  34.8 MiB/s |  71.2 KiB |  00m00s
[102/150] Installing gdbm-libs-1:1.23-9 100% |  64.2 MiB/s | 131.6 KiB |  00m00s
[103/150] Installing cyrus-sasl-lib-0:2 100% |  82.3 MiB/s |   2.3 MiB |  00m00s
[104/150] Installing libbrotli-0:1.1.0- 100% | 163.8 MiB/s | 838.7 KiB |  00m00s
[105/150] Installing qt6-srpm-macros-0: 100% |   0.0   B/s | 740.0   B |  00m00s
[106/150] Installing qt5-srpm-macros-0: 100% |   0.0   B/s | 776.0   B |  00m00s
[107/150] Installing perl-srpm-macros-0 100% |   0.0   B/s |   1.1 KiB |  00m00s
[108/150] Installing package-notes-srpm 100% |   2.0 MiB/s |   2.0 KiB |  00m00s
[109/150] Installing openblas-srpm-macr 100% |  29.4 KiB/s | 392.0   B |  00m00s
[110/150] Installing ocaml-srpm-macros- 100% |   0.0   B/s |   2.2 KiB |  00m00s
[111/150] Installing kernel-srpm-macros 100% |   2.3 MiB/s |   2.3 KiB |  00m00s
[112/150] Installing gnat-srpm-macros-0 100% |   0.0   B/s |   1.3 KiB |  00m00s
[113/150] Installing ghc-srpm-macros-0: 100% |   0.0   B/s |   1.0 KiB |  00m00s
[114/150] Installing fpc-srpm-macros-0: 100% |   0.0   B/s | 420.0   B |  00m00s
[115/150] Installing ansible-srpm-macro 100% |  35.4 MiB/s |  36.2 KiB |  00m00s
[116/150] Installing coreutils-common-0 100% | 117.4 MiB/s |  11.2 MiB |  00m00s
[117/150] Installing openssl-libs-1:3.2 100% |  78.6 MiB/s |   7.8 MiB |  00m00s
[118/150] Installing coreutils-0:9.6-2. 100% |  58.7 MiB/s |   5.5 MiB |  00m00s
[119/150] Installing ca-certificates-0: 100% |   1.0 MiB/s |   2.4 MiB |  00m02s
[120/150] Installing libarchive-0:3.7.7 100% | 113.8 MiB/s | 932.6 KiB |  00m00s
[121/150] Installing krb5-libs-0:1.21.3 100% |  34.8 MiB/s |   2.3 MiB |  00m00s
[122/150] Installing libssh-0:0.11.1-4. 100% | 110.8 MiB/s | 567.5 KiB |  00m00s
[123/150] Installing gzip-0:1.13-3.fc42 100% |  21.6 MiB/s | 398.4 KiB |  00m00s
[124/150] Installing rpm-sequoia-0:1.7. 100% | 120.7 MiB/s |   2.4 MiB |  00m00s
[125/150] Installing rpm-libs-0:4.20.1- 100% | 142.1 MiB/s | 727.4 KiB |  00m00s
[126/150] Installing rpm-build-libs-0:4 100% | 101.3 MiB/s | 207.4 KiB |  00m00s
[127/150] Installing libevent-0:2.1.12- 100% |  68.1 MiB/s | 906.9 KiB |  00m00s
[128/150] Installing openldap-0:2.6.9-3 100% | 128.7 MiB/s | 658.9 KiB |  00m00s
[129/150] Installing libcurl-0:8.13.0~r 100% | 106.4 MiB/s | 871.5 KiB |  00m00s
[130/150] Installing elfutils-debuginfo 100% |   5.6 MiB/s |  86.2 KiB |  00m00s
[131/150] Installing elfutils-0:0.192-8 100% |  37.8 MiB/s |   2.7 MiB |  00m00s
[132/150] Installing binutils-0:2.44-3. 100% |  92.5 MiB/s |  25.9 MiB |  00m00s
[133/150] Installing gdb-minimal-0:16.2 100% |  60.4 MiB/s |  13.3 MiB |  00m00s
[134/150] Installing debugedit-0:5.1-5. 100% |  11.2 MiB/s | 195.4 KiB |  00m00s
[135/150] Installing curl-0:8.13.0~rc2- 100% |  10.0 MiB/s | 459.5 KiB |  00m00s
[136/150] Installing rpm-0:4.20.1-1.fc4 100% |  43.8 MiB/s |   2.5 MiB |  00m00s
[137/150] Installing efi-srpm-macros-0: 100% |  40.2 MiB/s |  41.1 KiB |  00m00s
[138/150] Installing lua-srpm-macros-0: 100% |   1.9 MiB/s |   1.9 KiB |  00m00s
[139/150] Installing tree-sitter-srpm-m 100% |   7.8 MiB/s |   7.9 KiB |  00m00s
[140/150] Installing zig-srpm-macros-0: 100% |   1.6 MiB/s |   1.7 KiB |  00m00s
[141/150] Installing fonts-srpm-macros- 100% |  55.7 MiB/s |  57.0 KiB |  00m00s
[142/150] Installing forge-srpm-macros- 100% |  39.3 MiB/s |  40.3 KiB |  00m00s
[143/150] Installing go-srpm-macros-0:3 100% |  30.3 MiB/s |  62.0 KiB |  00m00s
[144/150] Installing python-srpm-macros 100% |  17.0 MiB/s |  52.2 KiB |  00m00s
[145/150] Installing redhat-rpm-config- 100% |  47.2 MiB/s | 193.5 KiB |  00m00s
[146/150] Installing rpm-build-0:4.20.1 100% |   8.7 MiB/s | 177.4 KiB |  00m00s
[147/150] Installing pyproject-srpm-mac 100% |   2.4 MiB/s |   2.5 KiB |  00m00s
[148/150] Installing which-0:2.23-1.fc4 100% |   5.2 MiB/s |  85.6 KiB |  00m00s
[149/150] Installing util-linux-0:2.40. 100% |  42.2 MiB/s |   3.5 MiB |  00m00s
[150/150] Installing info-0:7.2-3.fc42. 100% | 117.3 KiB/s | 358.3 KiB |  00m03s
Public key "file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-43-primary" is already present, not importing.
Warning: skipped OpenPGP checks for 16 packages from repository: copr_base
Complete!
Finish: installing minimal buildroot with dnf5
Start: creating root cache
Finish: creating root cache
Finish: chroot init
INFO: Installed packages:
INFO: add-determinism-0.6.0-1.fc43.x86_64
alternatives-1.32-1.fc43.x86_64
ansible-srpm-macros-1-17.1.fc42.noarch
audit-libs-4.0.3-2.fc42.x86_64
bash-5.2.37-3.fc43.x86_64
binutils-2.44-3.fc43.x86_64
build-reproducibility-srpm-macros-0.6.0-1.fc43.noarch
bzip2-1.0.8-20.fc42.x86_64
bzip2-libs-1.0.8-20.fc42.x86_64
ca-certificates-2024.2.69_v8.0.401-5.fc42.noarch
coreutils-9.6-2.fc43.x86_64
coreutils-common-9.6-2.fc43.x86_64
cpio-2.15-2.fc41.x86_64
crypto-policies-20250305-1.gita35b0fa.fc43.noarch
curl-8.13.0~rc2-1.fc43.x86_64
cyrus-sasl-lib-2.1.28-30.fc42.x86_64
debugedit-5.1-5.fc43.x86_64
diffutils-3.10-9.fc42.x86_64
dwz-0.15-9.fc42.x86_64
ed-1.21-2.fc42.x86_64
efi-srpm-macros-6-3.fc43.noarch
elfutils-0.192-8.fc42.x86_64
elfutils-debuginfod-client-0.192-8.fc42.x86_64
elfutils-default-yama-scope-0.192-8.fc42.noarch
elfutils-libelf-0.192-8.fc42.x86_64
elfutils-libs-0.192-8.fc42.x86_64
fedora-gpg-keys-43-0.1.noarch
fedora-release-43-0.7.noarch
fedora-release-common-43-0.7.noarch
fedora-release-identity-basic-43-0.7.noarch
fedora-repos-43-0.1.noarch
fedora-repos-rawhide-43-0.1.noarch
file-5.46-1.fc42.x86_64
file-libs-5.46-1.fc42.x86_64
filesystem-3.18-38.fc43.x86_64
filesystem-srpm-macros-3.18-38.fc43.noarch
findutils-4.10.0-5.fc42.x86_64
fonts-srpm-macros-2.0.5-21.fc42.noarch
forge-srpm-macros-0.4.0-2.fc42.noarch
fpc-srpm-macros-1.3-14.fc42.noarch
gawk-5.3.1-1.fc42.x86_64
gdb-minimal-16.2-1.fc43.x86_64
gdbm-libs-1.23-9.fc42.x86_64
ghc-srpm-macros-1.9.2-2.fc42.noarch
glibc-2.41.9000-2.fc43.x86_64
glibc-common-2.41.9000-2.fc43.x86_64
glibc-gconv-extra-2.41.9000-2.fc43.x86_64
glibc-minimal-langpack-2.41.9000-2.fc43.x86_64
gmp-6.3.0-3.fc43.x86_64
gnat-srpm-macros-6-7.fc42.noarch
go-srpm-macros-3.6.0-6.fc42.noarch
gpg-pubkey-105ef944-65ca83d1
gpg-pubkey-31645531-66b6dccf
gpg-pubkey-6d9f90a6-6786af3b
grep-3.11-10.fc42.x86_64
gzip-1.13-3.fc42.x86_64
info-7.2-3.fc42.x86_64
jansson-2.14-2.fc42.x86_64
json-c-0.18-2.fc42.x86_64
kernel-srpm-macros-1.0-25.fc42.noarch
keyutils-libs-1.6.3-5.fc42.x86_64
krb5-libs-1.21.3-5.fc42.x86_64
libacl-2.3.2-3.fc42.x86_64
libarchive-3.7.7-4.fc43.x86_64
libattr-2.5.2-5.fc42.x86_64
libblkid-2.40.4-7.fc43.x86_64
libbrotli-1.1.0-6.fc42.x86_64
libcap-2.73-2.fc42.x86_64
libcap-ng-0.8.5-4.fc42.x86_64
libcom_err-1.47.2-3.fc42.x86_64
libcurl-8.13.0~rc2-1.fc43.x86_64
libeconf-0.7.6-1.fc43.x86_64
libevent-2.1.12-15.fc42.x86_64
libfdisk-2.40.4-7.fc43.x86_64
libffi-3.4.7-2.fc43.x86_64
libgcc-15.0.1-0.10.fc43.x86_64
libgomp-15.0.1-0.10.fc43.x86_64
libidn2-2.3.8-1.fc43.x86_64
libmount-2.40.4-7.fc43.x86_64
libnghttp2-1.65.0-1.fc43.x86_64
libpkgconf-2.3.0-2.fc42.x86_64
libpsl-0.21.5-5.fc42.x86_64
libselinux-3.8-1.fc42.x86_64
libsemanage-3.8-1.fc42.x86_64
libsepol-3.8-1.fc42.x86_64
libsmartcols-2.40.4-7.fc43.x86_64
libssh-0.11.1-4.fc42.x86_64
libssh-config-0.11.1-4.fc42.noarch
libstdc++-15.0.1-0.10.fc43.x86_64
libtasn1-4.20.0-1.fc43.x86_64
libtool-ltdl-2.5.4-4.fc42.x86_64
libunistring-1.1-9.fc42.x86_64
libuuid-2.40.4-7.fc43.x86_64
libverto-0.3.2-10.fc42.x86_64
libxcrypt-4.4.38-6.fc43.x86_64
libxml2-2.12.10-1.fc43.x86_64
libzstd-1.5.7-1.fc43.x86_64
lua-libs-5.4.7-3.fc43.x86_64
lua-srpm-macros-1-15.fc42.noarch
lz4-libs-1.10.0-2.fc42.x86_64
mpfr-4.2.2-1.fc43.x86_64
ncurses-base-6.5-5.20250125.fc42.noarch
ncurses-libs-6.5-5.20250125.fc42.x86_64
ocaml-srpm-macros-10-4.fc42.noarch
openblas-srpm-macros-2-19.fc42.noarch
openldap-2.6.9-3.fc42.x86_64
openssl-libs-3.2.4-3.fc43.x86_64
p11-kit-0.25.5-5.fc42.x86_64
p11-kit-trust-0.25.5-5.fc42.x86_64
package-notes-srpm-macros-0.5-13.fc42.noarch
pam-libs-1.7.0-4.fc42.x86_64
patch-2.7.6-26.fc42.x86_64
pcre2-10.45-1.fc43.x86_64
pcre2-syntax-10.45-1.fc43.noarch
perl-srpm-macros-1-57.fc42.noarch
pkgconf-2.3.0-2.fc42.x86_64
pkgconf-m4-2.3.0-2.fc42.noarch
pkgconf-pkg-config-2.3.0-2.fc42.x86_64
popt-1.19-8.fc42.x86_64
publicsuffix-list-dafsa-20250116-1.fc42.noarch
pyproject-srpm-macros-1.17.0-1.fc43.noarch
python-srpm-macros-3.13-4.fc42.noarch
qt5-srpm-macros-5.15.16-1.fc43.noarch
qt6-srpm-macros-6.8.2-2.fc43.noarch
readline-8.2-13.fc43.x86_64
redhat-rpm-config-342-2.fc42.noarch
rpm-4.20.1-1.fc43.x86_64
rpm-build-4.20.1-1.fc43.x86_64
rpm-build-libs-4.20.1-1.fc43.x86_64
rpm-libs-4.20.1-1.fc43.x86_64
rpm-sequoia-1.7.0-5.fc43.x86_64
rust-srpm-macros-26.3-4.fc42.noarch
sed-4.9-4.fc42.x86_64
setup-2.15.0-23.fc43.noarch
shadow-utils-4.17.4-1.fc43.x86_64
sqlite-libs-3.49.0-1.fc43.x86_64
systemd-libs-257.4-3.fc43.x86_64
systemd-standalone-sysusers-257.4-3.fc43.x86_64
tar-1.35-5.fc42.x86_64
tree-sitter-srpm-macros-0.2.0-1.fc43.noarch
unzip-6.0-66.fc42.x86_64
util-linux-2.40.4-7.fc43.x86_64
util-linux-core-2.40.4-7.fc43.x86_64
which-2.23-1.fc42.x86_64
xxhash-libs-0.8.3-2.fc42.x86_64
xz-5.6.3-3.fc42.x86_64
xz-libs-5.6.3-3.fc42.x86_64
zig-srpm-macros-1-4.fc42.noarch
zip-3.0-43.fc42.x86_64
zlib-ng-compat-2.2.4-2.fc43.x86_64
zstd-1.5.7-1.fc43.x86_64
Start: buildsrpm
Start: rpmbuild -bs
Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1741824000
Wrote: /builddir/build/SRPMS/python-scikit-learn-1.6.1-3.fc43.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-x86_64-1742675702.538584/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-w1o6_8yr/python-scikit-learn/python-scikit-learn.spec) Config(child) 0 minutes 34 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-1.6.1-3.fc43.src.rpm)  Config(fedora-rawhide-x86_64)
Start(bootstrap): chroot init
INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-x86_64-bootstrap-1742675702.538584/root.
INFO: reusing tmpfs at /var/lib/mock/fedora-rawhide-x86_64-bootstrap-1742675702.538584/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-x86_64-1742675702.538584/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-4.20.1-1.fc43.x86_64
  rpm-sequoia-1.7.0-5.fc43.x86_64
  dnf5-5.2.12.0-1.fc43.x86_64
  dnf5-plugins-5.2.12.0-1.fc43.x86_64
Finish: chroot init
Start: build phase for python-scikit-learn-1.6.1-3.fc43.src.rpm
Start: build setup for python-scikit-learn-1.6.1-3.fc43.src.rpm
Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1741824000
Wrote: /builddir/build/SRPMS/python-scikit-learn-1.6.1-3.fc43.src.rpm
Updating and loading repositories:
 fedora                                 100% | 973.8 KiB/s |  28.2 KiB |  00m00s
 Copr repository                        100% |  72.0 KiB/s |   2.2 KiB |  00m00s
Repositories loaded.
Package                 Arch   Version              Repository      Size
Installing:
 gcc                    x86_64 15.0.1-0.10.fc43     fedora     110.7 MiB
 gcc-c++                x86_64 15.0.1-0.10.fc43     fedora      41.1 MiB
 python3-devel          x86_64 3.13.2-2.fc43        fedora       1.8 MiB
 python3-joblib         noarch 1.4.2-6.fc43         copr_base    2.1 MiB
 python3-pytest         noarch 8.3.5-2.fc43         fedora      21.0 MiB
 python3-setuptools     noarch 74.1.3-5.fc42        fedora       8.4 MiB
 python3-threadpoolctl  noarch 3.5.0-5.fc42         fedora     136.0 KiB
Installing dependencies:
 annobin-docs           noarch 12.93-1.fc43         fedora      98.9 KiB
 annobin-plugin-gcc     x86_64 12.93-1.fc43         fedora     993.4 KiB
 cpp                    x86_64 15.0.1-0.10.fc43     fedora      37.8 MiB
 expat                  x86_64 2.7.0-1.fc43         fedora     288.8 KiB
 gcc-plugin-annobin     x86_64 15.0.1-0.10.fc43     fedora      57.2 KiB
 glibc-devel            x86_64 2.41.9000-2.fc43     fedora       2.3 MiB
 kernel-headers         x86_64 6.14.0-0.rc7.56.fc43 fedora       6.5 MiB
 libb2                  x86_64 0.98.1-13.fc42       fedora      46.1 KiB
 libmpc                 x86_64 1.3.1-7.fc42         fedora     164.5 KiB
 libstdc++-devel        x86_64 15.0.1-0.10.fc43     fedora      15.9 MiB
 libxcrypt-devel        x86_64 4.4.38-6.fc43        fedora      30.8 KiB
 make                   x86_64 1:4.4.1-10.fc42      fedora       1.8 MiB
 mpdecimal              x86_64 4.0.0-2.fc43         fedora     216.8 KiB
 pyproject-rpm-macros   noarch 1.17.0-1.fc43        fedora     114.0 KiB
 python-pip-wheel       noarch 24.3.1-2.fc42        fedora       1.2 MiB
 python-rpm-macros      noarch 3.13-4.fc42          fedora      22.1 KiB
 python3                x86_64 3.13.2-2.fc43        fedora      27.6 KiB
 python3-cloudpickle    noarch 3.1.1-2.fc42         fedora     128.1 KiB
 python3-iniconfig      noarch 1.1.1-25.fc42        fedora      20.6 KiB
 python3-libs           x86_64 3.13.2-2.fc43        fedora      39.9 MiB
 python3-packaging      noarch 24.2-4.fc43          copr_base  555.7 KiB
 python3-pluggy         noarch 1.5.0-2.fc42         fedora     192.7 KiB
 python3-rpm-generators noarch 14-12.fc42           fedora      81.7 KiB
 python3-rpm-macros     noarch 3.13-4.fc42          fedora       6.4 KiB
 tzdata                 noarch 2025a-1.fc43         fedora       1.6 MiB

Transaction Summary:
 Installing:        32 packages

Total size of inbound packages is 91 MiB. Need to download 91 MiB.
After this operation, 295 MiB extra will be used (install 295 MiB, remove 0 B).
[ 1/32] gcc-c++-0:15.0.1-0.10.fc43.x86_ 100% |  23.8 MiB/s |  15.1 MiB |  00m01s
[ 2/32] python3-joblib-0:1.4.2-6.fc43.n 100% |   3.1 MiB/s | 528.9 KiB |  00m00s
[ 3/32] python3-devel-0:3.13.2-2.fc43.x 100% | 450.0 KiB/s | 404.1 KiB |  00m01s
[ 4/32] python3-pytest-0:8.3.5-2.fc43.n 100% |  11.1 MiB/s |   2.2 MiB |  00m00s
[ 5/32] python3-threadpoolctl-0:3.5.0-5 100% | 473.2 KiB/s |  44.5 KiB |  00m00s
[ 6/32] gcc-0:15.0.1-0.10.fc43.x86_64   100% |  33.0 MiB/s |  39.3 MiB |  00m01s
[ 7/32] libmpc-0:1.3.1-7.fc42.x86_64    100% | 746.4 KiB/s |  70.9 KiB |  00m00s
[ 8/32] make-1:4.4.1-10.fc42.x86_64     100% |   3.4 MiB/s | 587.0 KiB |  00m00s
[ 9/32] python3-setuptools-0:74.1.3-5.f 100% |   3.2 MiB/s |   2.0 MiB |  00m01s
>>> Downloading successful, but checksum doesn't match. Calculated: aabddad00c14
[10/32] cpp-0:15.0.1-0.10.fc43.x86_64   100% |  25.2 MiB/s |  12.8 MiB |  00m01s
[11/32] expat-0:2.7.0-1.fc43.x86_64     100% |   1.4 MiB/s | 115.0 KiB |  00m00s
[12/32] libb2-0:0.98.1-13.fc42.x86_64   100% | 267.2 KiB/s |  25.4 KiB |  00m00s
[13/32] mpdecimal-0:4.0.0-2.fc43.x86_64 100% | 897.7 KiB/s |  97.0 KiB |  00m00s
[14/32] python3-libs-0:3.13.2-2.fc43.x8 100% |  30.8 MiB/s |   9.2 MiB |  00m00s
[15/32] tzdata-0:2025a-1.fc43.noarch    100% |  10.4 MiB/s | 713.4 KiB |  00m00s
[16/32] python3-0:3.13.2-2.fc43.x86_64  100% | 473.7 KiB/s |  28.4 KiB |  00m00s
[17/32] python3-iniconfig-0:1.1.1-25.fc 100% | 149.4 KiB/s |  18.1 KiB |  00m00s
[18/32] python3-packaging-0:24.2-4.fc43 100% |   1.3 MiB/s | 144.0 KiB |  00m00s
[19/32] python3-pluggy-0:1.5.0-2.fc42.n 100% |   1.3 MiB/s |  58.8 KiB |  00m00s
[20/32] libstdc++-devel-0:15.0.1-0.10.f 100% |  28.3 MiB/s |   2.8 MiB |  00m00s
[21/32] python-pip-wheel-0:24.3.1-2.fc4 100% |   6.7 MiB/s |   1.2 MiB |  00m00s
>>> Downloading successful, but checksum doesn't match. Calculated: 6270a48e0b5b
[22/32] glibc-devel-0:2.41.9000-2.fc43. 100% |  11.2 MiB/s | 653.7 KiB |  00m00s
[23/32] libxcrypt-devel-0:4.4.38-6.fc43 100% | 395.7 KiB/s |  29.3 KiB |  00m00s
[24/32] kernel-headers-0:6.14.0-0.rc7.5 100% |  14.8 MiB/s |   1.7 MiB |  00m00s
[25/32] annobin-plugin-gcc-0:12.93-1.fc 100% |  12.2 MiB/s | 983.3 KiB |  00m00s
[26/32] gcc-plugin-annobin-0:15.0.1-0.1 100% | 947.1 KiB/s |  44.5 KiB |  00m00s
[27/32] annobin-docs-0:12.93-1.fc43.noa 100% |   1.7 MiB/s |  92.0 KiB |  00m00s
[28/32] pyproject-rpm-macros-0:1.17.0-1 100% |   1.0 MiB/s |  44.7 KiB |  00m00s
[29/32] python3-cloudpickle-0:3.1.1-2.f 100% |  86.6 KiB/s |  47.5 KiB |  00m01s
[30/32] python-rpm-macros-0:3.13-4.fc42 100% | 352.7 KiB/s |  16.9 KiB |  00m00s
[31/32] python3-rpm-macros-0:3.13-4.fc4 100% | 260.1 KiB/s |  11.7 KiB |  00m00s
[32/32] python3-rpm-generators-0:14-12. 100% | 634.4 KiB/s |  29.2 KiB |  00m00s
--------------------------------------------------------------------------------
[32/32] Total                           100% |  38.0 MiB/s |  90.9 MiB |  00m02s
Running transaction
[ 1/34] Verify package files            100% | 106.0   B/s |  32.0   B |  00m00s
[ 2/34] Prepare transaction             100% | 385.0   B/s |  32.0   B |  00m00s
[ 3/34] Installing python-rpm-macros-0: 100% |  22.3 MiB/s |  22.8 KiB |  00m00s
[ 4/34] Installing libmpc-0:1.3.1-7.fc4 100% |  23.2 MiB/s | 166.1 KiB |  00m00s
[ 5/34] Installing python3-rpm-macros-0 100% |   6.5 MiB/s |   6.7 KiB |  00m00s
[ 6/34] Installing pyproject-rpm-macros 100% |  56.6 MiB/s | 115.9 KiB |  00m00s
[ 7/34] Installing cpp-0:15.0.1-0.10.fc 100% |  98.1 MiB/s |  37.8 MiB |  00m00s
[ 8/34] Installing annobin-docs-0:12.93 100% |  32.6 MiB/s | 100.0 KiB |  00m00s
[ 9/34] Installing kernel-headers-0:6.1 100% |  39.3 MiB/s |   6.7 MiB |  00m00s
[10/34] Installing libxcrypt-devel-0:4. 100% |  10.8 MiB/s |  33.1 KiB |  00m00s
[11/34] Installing glibc-devel-0:2.41.9 100% |  64.8 MiB/s |   2.3 MiB |  00m00s
[12/34] Installing libstdc++-devel-0:15 100% |  70.7 MiB/s |  16.0 MiB |  00m00s
[13/34] Installing python-pip-wheel-0:2 100% |  77.8 MiB/s |   1.2 MiB |  00m00s
[14/34] Installing tzdata-0:2025a-1.fc4 100% |  14.0 MiB/s |   1.9 MiB |  00m00s
[15/34] Installing mpdecimal-0:4.0.0-2. 100% |  71.1 MiB/s | 218.4 KiB |  00m00s
[16/34] Installing libb2-0:0.98.1-13.fc 100% |  46.1 MiB/s |  47.2 KiB |  00m00s
[17/34] Installing expat-0:2.7.0-1.fc43 100% |  11.8 MiB/s | 290.8 KiB |  00m00s
[18/34] Installing python3-libs-0:3.13. 100% |  75.7 MiB/s |  40.3 MiB |  00m01s
[19/34] Installing python3-0:3.13.2-2.f 100% |   1.9 MiB/s |  29.4 KiB |  00m00s
[20/34] Installing python3-packaging-0: 100% |  79.2 MiB/s | 568.0 KiB |  00m00s
[21/34] Installing python3-rpm-generato 100% |  81.0 MiB/s |  82.9 KiB |  00m00s
[22/34] Installing python3-cloudpickle- 100% |  64.3 MiB/s | 131.7 KiB |  00m00s
[23/34] Installing python3-iniconfig-0: 100% |  11.5 MiB/s |  23.5 KiB |  00m00s
[24/34] Installing python3-pluggy-0:1.5 100% |  64.8 MiB/s | 199.0 KiB |  00m00s
[25/34] Installing make-1:4.4.1-10.fc42 100% |  25.4 MiB/s |   1.8 MiB |  00m00s
[26/34] Installing gcc-0:15.0.1-0.10.fc 100% |  95.2 MiB/s | 110.7 MiB |  00m01s
[27/34] Installing gcc-c++-0:15.0.1-0.1 100% |  88.9 MiB/s |  41.1 MiB |  00m00s
[28/34] Installing annobin-plugin-gcc-0 100% |  21.1 MiB/s | 995.0 KiB |  00m00s
[29/34] Installing gcc-plugin-annobin-0 100% |   1.8 MiB/s |  58.8 KiB |  00m00s
[30/34] Installing python3-pytest-0:8.3 100% |  87.2 MiB/s |  21.1 MiB |  00m00s
[31/34] Installing python3-joblib-0:1.4 100% |  36.7 MiB/s |   2.2 MiB |  00m00s
[32/34] Installing python3-devel-0:3.13 100% |  47.8 MiB/s |   1.8 MiB |  00m00s
[33/34] Installing python3-setuptools-0 100% |  79.3 MiB/s |   8.6 MiB |  00m00s
[34/34] Installing python3-threadpoolct 100% | 489.5 KiB/s | 138.0 KiB |  00m00s
Warning: skipped OpenPGP checks for 2 packages from repository: copr_base
Complete!
Finish: build setup for python-scikit-learn-1.6.1-3.fc43.src.rpm
Start: rpmbuild python-scikit-learn-1.6.1-3.fc43.src.rpm
Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1741824000
Executing(%mkbuilddir): /bin/sh -e /var/tmp/rpm-tmp.fa0Ivp
Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.GhGJlm
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.6.1-build
+ cd /builddir/build/BUILD/python-scikit-learn-1.6.1-build
+ rm -rf scikit_learn-1.6.1
+ /usr/lib/rpm/rpmuncompress -x /builddir/build/SOURCES/scikit_learn-1.6.1.tar.gz
+ STATUS=0
+ '[' 0 -ne 0 ']'
+ cd scikit_learn-1.6.1
+ /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w .
+ sed -i -e 's|numpy>=2|numpy|' pyproject.toml
+ sed -i -e 's|Cython>=3.0.10|Cython>=3.0.9|' pyproject.toml
+ sed -i -e 's|CYTHON_MIN_VERSION = "3.0.10"|CYTHON_MIN_VERSION = "3.0.9"|' sklearn/_min_dependencies.py
+ 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.Y4CIUA
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.6.1-build
+ cd scikit_learn-1.6.1
+ 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-1.6.1-build/scikit_learn-1.6.1/.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  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -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  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -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  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -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  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -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-1.6.1-build/scikit_learn-1.6.1/.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-1.6.1-build/scikit_learn-1.6.1/pyproject-wheeldir --output /builddir/build/BUILD/python-scikit-learn-1.6.1-build/python-scikit-learn-1.6.1-3.fc43.x86_64-pyproject-buildrequires -p
Handling meson-python>=0.16.0 from build-system.requires
Requirement not satisfied: meson-python>=0.16.0
Handling Cython>=3.0.9 from build-system.requires
Requirement not satisfied: Cython>=3.0.9
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-1.6.1-build/python-scikit-learn-1.6.1-3.fc43.x86_64-pyproject-buildrequires
+ rm -rfv '*.dist-info/'
+ RPM_EC=0
++ jobs -p
+ exit 0
Wrote: /builddir/build/SRPMS/python-scikit-learn-1.6.1-3.fc43.buildreqs.nosrc.rpm
INFO: Going to install missing dynamic buildrequires
Updating and loading repositories:
 fedora                                 100% |   1.1 MiB/s |  28.2 KiB |  00m00s
 Copr repository                        100% |  69.7 KiB/s |   2.2 KiB |  00m00s
Repositories loaded.
Package "gcc-15.0.1-0.10.fc43.x86_64" is already installed.
Package "gcc-c++-15.0.1-0.10.fc43.x86_64" is already installed.
Package "pyproject-rpm-macros-1.17.0-1.fc43.noarch" is already installed.
Package "python3-devel-3.13.2-2.fc43.x86_64" is already installed.
Package "python3-joblib-1.4.2-6.fc43.noarch" is already installed.
Package "python3-packaging-24.2-4.fc43.noarch" is already installed.
Package "python3-pytest-8.3.5-2.fc43.noarch" is already installed.
Package "python3-setuptools-74.1.3-5.fc42.noarch" is already installed.
Package "python3-threadpoolctl-3.5.0-5.fc42.noarch" is already installed.

Package                     Arch   Version           Repository      Size
Installing:
 python3-cython             x86_64 3.0.11-4.fc43     copr_base   17.9 MiB
 python3-meson-python       noarch 0.17.1-2.fc42     fedora     277.8 KiB
 python3-numpy              x86_64 1:2.2.4-1.fc43    fedora      40.3 MiB
 python3-pip                noarch 24.3.1-2.fc42     fedora      11.3 MiB
 python3-scipy              x86_64 1.14.1-3.fc42     fedora      67.2 MiB
Installing dependencies:
 emacs-filesystem           noarch 1:30.0-4.fc42     fedora       0.0   B
 flexiblas                  x86_64 3.4.5-1.fc43      fedora      50.4 KiB
 flexiblas-netlib           x86_64 3.4.5-1.fc43      fedora      10.9 MiB
 flexiblas-openblas-openmp  x86_64 3.4.5-1.fc43      fedora      39.2 KiB
 libgfortran                x86_64 15.0.1-0.10.fc43  fedora       3.3 MiB
 libquadmath                x86_64 15.0.1-0.10.fc43  fedora     317.9 KiB
 meson                      noarch 1.7.0-3.fc43      fedora      11.6 MiB
 ninja-build                x86_64 1.12.1-4.fc42     copr_base  460.2 KiB
 openblas                   x86_64 0.3.29-1.fc42     fedora     111.7 KiB
 openblas-openmp            x86_64 0.3.29-1.fc42     fedora      43.7 MiB
 patchelf                   x86_64 0.18.0-8.fc42     fedora     287.6 KiB
 python3-charset-normalizer noarch 3.4.1-3.fc42      fedora     319.6 KiB
 python3-idna               noarch 3.10-2.fc42       fedora     628.0 KiB
 python3-numpy-f2py         x86_64 1:2.2.4-1.fc43    fedora       2.0 MiB
 python3-platformdirs       noarch 4.2.2-4.fc42      fedora     162.0 KiB
 python3-pooch              noarch 1.8.2-5.fc42      fedora     620.8 KiB
 python3-pyproject-metadata noarch 0.9.1-1.fc43      fedora     181.0 KiB
 python3-requests           noarch 2.32.3-4.fc42     fedora     483.1 KiB
 python3-urllib3            noarch 2.3.0-2.fc42      fedora       1.0 MiB
 vim-filesystem             noarch 2:9.1.1202-1.fc43 fedora      40.0   B

Transaction Summary:
 Installing:        25 packages

Total size of inbound packages is 46 MiB. Need to download 46 MiB.
After this operation, 213 MiB extra will be used (install 213 MiB, remove 0 B).
[ 1/25] python3-meson-python-0:0.17.1-2 100% |   1.4 MiB/s |  86.3 KiB |  00m00s
[ 2/25] python3-cython-0:3.0.11-4.fc43. 100% |  17.4 MiB/s |   3.8 MiB |  00m00s
[ 3/25] python3-pip-0:24.3.1-2.fc42.noa 100% |  16.6 MiB/s |   2.7 MiB |  00m00s
[ 4/25] python3-numpy-1:2.2.4-1.fc43.x8 100% |  34.7 MiB/s |   8.1 MiB |  00m00s
[ 5/25] patchelf-0:0.18.0-8.fc42.x86_64 100% |   6.2 MiB/s | 127.6 KiB |  00m00s
[ 6/25] python3-pyproject-metadata-0:0. 100% |   1.5 MiB/s |  55.3 KiB |  00m00s
[ 7/25] python3-numpy-f2py-1:2.2.4-1.fc 100% |   2.2 MiB/s | 491.5 KiB |  00m00s
[ 8/25] flexiblas-netlib-0:3.4.5-1.fc43 100% |  12.1 MiB/s |   3.4 MiB |  00m00s
[ 9/25] python3-pooch-0:1.8.2-5.fc42.no 100% |   4.1 MiB/s | 137.9 KiB |  00m00s
[10/25] libgfortran-0:15.0.1-0.10.fc43. 100% |  13.4 MiB/s | 947.8 KiB |  00m00s
[11/25] python3-scipy-0:1.14.1-3.fc42.x 100% |  48.3 MiB/s |  17.4 MiB |  00m00s
[12/25] flexiblas-0:3.4.5-1.fc43.x86_64 100% |   1.3 MiB/s |  26.2 KiB |  00m00s
[13/25] flexiblas-openblas-openmp-0:3.4 100% | 908.0 KiB/s |  17.3 KiB |  00m00s
[14/25] python3-platformdirs-0:4.2.2-4. 100% |   1.7 MiB/s |  46.5 KiB |  00m00s
[15/25] libquadmath-0:15.0.1-0.10.fc43. 100% |   3.8 MiB/s | 190.7 KiB |  00m00s
[16/25] python3-requests-0:2.32.3-4.fc4 100% |   2.9 MiB/s | 159.6 KiB |  00m00s
[17/25] openblas-0:0.3.29-1.fc42.x86_64 100% |   1.1 MiB/s |  42.3 KiB |  00m00s
[18/25] ninja-build-0:1.12.1-4.fc42.x86 100% |   7.7 MiB/s | 188.2 KiB |  00m00s
[19/25] emacs-filesystem-1:30.0-4.fc42. 100% | 387.1 KiB/s |   7.4 KiB |  00m00s
[20/25] vim-filesystem-2:9.1.1202-1.fc4 100% | 901.3 KiB/s |  16.2 KiB |  00m00s
[21/25] meson-0:1.7.0-3.fc43.noarch     100% |  15.0 MiB/s |   2.2 MiB |  00m00s
[22/25] python3-charset-normalizer-0:3. 100% |   4.1 MiB/s | 108.4 KiB |  00m00s
[23/25] openblas-openmp-0:0.3.29-1.fc42 100% |  24.8 MiB/s |   5.4 MiB |  00m00s
[24/25] python3-idna-0:3.10-2.fc42.noar 100% |   6.0 MiB/s | 117.3 KiB |  00m00s
[25/25] python3-urllib3-0:2.3.0-2.fc42. 100% |  11.5 MiB/s | 283.3 KiB |  00m00s
--------------------------------------------------------------------------------
[25/25] Total                           100% |  54.2 MiB/s |  46.0 MiB |  00m01s
Running transaction
[ 1/27] Verify package files            100% | 161.0   B/s |  25.0   B |  00m00s
[ 2/27] Prepare transaction             100% | 290.0   B/s |  25.0   B |  00m00s
[ 3/27] Installing libgfortran-0:15.0.1 100% |  47.3 MiB/s |   3.3 MiB |  00m00s
[ 4/27] Installing python3-idna-0:3.10- 100% | 154.9 MiB/s | 634.3 KiB |  00m00s
[ 5/27] Installing python3-urllib3-0:2. 100% | 101.8 MiB/s |   1.0 MiB |  00m00s
[ 6/27] Installing python3-charset-norm 100% |  10.4 MiB/s | 329.5 KiB |  00m00s
[ 7/27] Installing python3-requests-0:2 100% |   9.7 MiB/s | 495.2 KiB |  00m00s
[ 8/27] Installing vim-filesystem-2:9.1 100% |   2.3 MiB/s |   4.7 KiB |  00m00s
[ 9/27] Installing emacs-filesystem-1:3 100% |   0.0   B/s | 544.0   B |  00m00s
[10/27] Installing ninja-build-0:1.12.1 100% |  18.9 MiB/s | 463.4 KiB |  00m00s
[11/27] Installing meson-0:1.7.0-3.fc43 100% |  78.4 MiB/s |  11.8 MiB |  00m00s
[12/27] Installing openblas-0:0.3.29-1. 100% | 110.8 MiB/s | 113.5 KiB |  00m00s
[13/27] Installing openblas-openmp-0:0. 100% |  80.1 MiB/s |  43.7 MiB |  00m01s
[14/27] Installing python3-platformdirs 100% |  32.9 MiB/s | 168.4 KiB |  00m00s
[15/27] Installing python3-pooch-0:1.8. 100% |  88.7 MiB/s | 635.8 KiB |  00m00s
[16/27] Installing libquadmath-0:15.0.1 100% | 155.8 MiB/s | 319.2 KiB |  00m00s
[17/27] Installing flexiblas-0:3.4.5-1. 100% |  50.4 MiB/s |  51.6 KiB |  00m00s
[18/27] Installing flexiblas-openblas-o 100% |   3.9 MiB/s |  40.1 KiB |  00m00s
[19/27] Installing flexiblas-netlib-0:3 100% |  92.7 MiB/s |  10.9 MiB |  00m00s
[20/27] Installing python3-numpy-f2py-1 100% |  38.3 MiB/s |   2.1 MiB |  00m00s
[21/27] Installing python3-numpy-1:2.2. 100% |  99.9 MiB/s |  40.5 MiB |  00m00s
[22/27] Installing python3-pyproject-me 100% |  60.7 MiB/s | 186.5 KiB |  00m00s
[23/27] Installing patchelf-0:0.18.0-8. 100% |  17.7 MiB/s | 289.4 KiB |  00m00s
[24/27] Installing python3-meson-python 100% |   8.9 MiB/s | 283.7 KiB |  00m00s
[25/27] Installing python3-scipy-0:1.14 100% |  87.9 MiB/s |  67.6 MiB |  00m01s
[26/27] Installing python3-pip-0:24.3.1 100% |  45.2 MiB/s |  11.6 MiB |  00m00s
[27/27] Installing python3-cython-0:3.0 100% |  51.2 MiB/s |  18.1 MiB |  00m00s
Warning: skipped OpenPGP checks for 2 packages from repository: copr_base
Complete!
Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1741824000
Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.YQtLG9
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.6.1-build
+ cd scikit_learn-1.6.1
+ 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-1.6.1-build/scikit_learn-1.6.1/.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  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -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  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -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  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -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  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -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-1.6.1-build/scikit_learn-1.6.1/.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-1.6.1-build/scikit_learn-1.6.1/pyproject-wheeldir --output /builddir/build/BUILD/python-scikit-learn-1.6.1-build/python-scikit-learn-1.6.1-3.fc43.x86_64-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>=3.0.9 from build-system.requires
Requirement satisfied: Cython>=3.0.9
   (installed: Cython 3.0.11)
Handling numpy from build-system.requires
Requirement satisfied: numpy
   (installed: numpy 2.2.4)
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 2.2.4)
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>=0.17.1 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-gallery>=0.17.1
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 towncrier>=24.8.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: towncrier>=24.8.0
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>=0.5.1 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: ruff>=0.5.1
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-1.6.1-build/python-scikit-learn-1.6.1-3.fc43.x86_64-pyproject-buildrequires
+ rm -rfv '*.dist-info/'
+ RPM_EC=0
++ jobs -p
+ exit 0
Wrote: /builddir/build/SRPMS/python-scikit-learn-1.6.1-3.fc43.buildreqs.nosrc.rpm
INFO: Going to install missing dynamic buildrequires
Updating and loading repositories:
 fedora                                 100% | 523.0 KiB/s |  28.2 KiB |  00m00s
 Copr repository                        100% |  46.0 KiB/s |   2.2 KiB |  00m00s
Repositories loaded.
Nothing to do.
Package "gcc-15.0.1-0.10.fc43.x86_64" is already installed.
Package "gcc-c++-15.0.1-0.10.fc43.x86_64" is already installed.
Package "pyproject-rpm-macros-1.17.0-1.fc43.noarch" is already installed.
Package "python3-devel-3.13.2-2.fc43.x86_64" is already installed.
Package "python3-cython-3.0.11-4.fc43.x86_64" is already installed.
Package "python3-joblib-1.4.2-6.fc43.noarch" is already installed.
Package "python3-joblib-1.4.2-6.fc43.noarch" is already installed.
Package "python3-meson-python-0.17.1-2.fc42.noarch" is already installed.
Package "python3-numpy-1:2.2.4-1.fc43.x86_64" is already installed.
Package "python3-numpy-1:2.2.4-1.fc43.x86_64" is already installed.
Package "python3-packaging-24.2-4.fc43.noarch" is already installed.
Package "python3-pip-24.3.1-2.fc42.noarch" is already installed.
Package "python3-pytest-8.3.5-2.fc43.noarch" is already installed.
Package "python3-scipy-1.14.1-3.fc42.x86_64" is already installed.
Package "python3-setuptools-74.1.3-5.fc42.noarch" is already installed.
Package "python3-threadpoolctl-3.5.0-5.fc42.noarch" is already installed.
Package "python3-threadpoolctl-3.5.0-5.fc42.noarch" is already installed.

Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1741824000
Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.sh4G5e
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.6.1-build
+ cd scikit_learn-1.6.1
+ 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-1.6.1-build/scikit_learn-1.6.1/.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  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -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  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -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  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -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  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -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-1.6.1-build/scikit_learn-1.6.1/.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-1.6.1-build/scikit_learn-1.6.1/pyproject-wheeldir --output /builddir/build/BUILD/python-scikit-learn-1.6.1-build/python-scikit-learn-1.6.1-3.fc43.x86_64-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>=3.0.9 from build-system.requires
Requirement satisfied: Cython>=3.0.9
   (installed: Cython 3.0.11)
Handling numpy from build-system.requires
Requirement satisfied: numpy
   (installed: numpy 2.2.4)
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 2.2.4)
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>=0.17.1 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-gallery>=0.17.1
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 towncrier>=24.8.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: towncrier>=24.8.0
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>=0.5.1 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: ruff>=0.5.1
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-1.6.1-build/python-scikit-learn-1.6.1-3.fc43.x86_64-pyproject-buildrequires
+ rm -rfv '*.dist-info/'
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.UGuR3M
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.6.1-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  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -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  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -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  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -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  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -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-1.6.1
+ mkdir -p /builddir/build/BUILD/python-scikit-learn-1.6.1-build/scikit_learn-1.6.1/.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  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -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  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -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  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -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  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -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-1.6.1-build/scikit_learn-1.6.1/.pyproject-builddir
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_wheel.py /builddir/build/BUILD/python-scikit-learn-1.6.1-build/scikit_learn-1.6.1/pyproject-wheeldir
Processing /builddir/build/BUILD/python-scikit-learn-1.6.1-build/scikit_learn-1.6.1
  Preparing metadata (pyproject.toml): started
  Running command Preparing metadata (pyproject.toml)
  + meson setup /builddir/build/BUILD/python-scikit-learn-1.6.1-build/scikit_learn-1.6.1 /builddir/build/BUILD/python-scikit-learn-1.6.1-build/scikit_learn-1.6.1/.mesonpy-r_zr0ea6 -Dbuildtype=release -Db_ndebug=if-release -Db_vscrt=md --native-file=/builddir/build/BUILD/python-scikit-learn-1.6.1-build/scikit_learn-1.6.1/.mesonpy-r_zr0ea6/meson-python-native-file.ini
  The Meson build system
  Version: 1.7.0
  Source dir: /builddir/build/BUILD/python-scikit-learn-1.6.1-build/scikit_learn-1.6.1
  Build dir: /builddir/build/BUILD/python-scikit-learn-1.6.1-build/scikit_learn-1.6.1/.mesonpy-r_zr0ea6
  Build type: native build
  Project name: scikit-learn
  Project version: 1.6.1
  C compiler for the host machine: gcc (gcc 15.0.1 "gcc (GCC) 15.0.1 20250313 (Red Hat 15.0.1-0)")
  C linker for the host machine: gcc ld.bfd 2.44-3
  C++ compiler for the host machine: g++ (gcc 15.0.1 "g++ (GCC) 15.0.1 20250313 (Red Hat 15.0.1-0)")
  C++ linker for the host machine: g++ ld.bfd 2.44-3
  Cython compiler for the host machine: cython (cython 3.0.11)
  Host machine cpu family: x86_64
  Host machine cpu: x86_64
  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 1.6.1

    User defined options
      Native files: /builddir/build/BUILD/python-scikit-learn-1.6.1-build/scikit_learn-1.6.1/.mesonpy-r_zr0ea6/meson-python-native-file.ini
      b_ndebug    : if-release
      b_vscrt     : md
      buildtype   : release

  Found ninja-1.12.1 at /usr/bin/ninja
  + /usr/bin/ninja
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  [41/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.1-build/scikit_learn-1.6.1/sklearn/__check_build/_check_build.pyx
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  warning: sklearn/metrics/_dist_metrics.pyx:855:44: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier
  warning: sklearn/metrics/_dist_metrics.pyx:918:40: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier
  warning: sklearn/metrics/_dist_metrics.pyx:3435:44: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier
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  warning: sklearn/neighbors/_binary_tree.pxi:1092:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:1958:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
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  warning: sklearn/neighbors/_binary_tree.pxi:2728:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:3594:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:3689:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:3858:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:3981:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:4038:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
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  warning: sklearn/neighbors/_ball_tree.pyx:105:9: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
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  warning: sklearn/neighbors/_ball_tree.pyx:308:9: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
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  warning: sklearn/neighbors/_binary_tree.pxi:1092:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:1958:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:2053:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:2222:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:2345:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:2402:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:2403:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:2728:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:3594:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:3689:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:3858:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:3981:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:4038:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:4039:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_kd_tree.pyx:74:9: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier
  warning: sklearn/neighbors/_kd_tree.pyx:75:9: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier
  warning: sklearn/neighbors/_kd_tree.pyx:342:9: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier
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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::svm_train_one(svm_problem const*, svm_parameter const*, double, double, int*, BlasFunctions*)’:
  ../sklearn/svm/src/libsvm/svm.cpp:1883:13: warning: ‘si.rho’ may be used uninitialized [-Wmaybe-uninitialized]
   1883 |         info("obj = %f, rho = %f\n",si.obj,si.rho);
        |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  ../sklearn/svm/src/libsvm/svm.cpp:1856:30: note: ‘si’ declared here
   1856 |         Solver::SolutionInfo si;
        |                              ^~
  ../sklearn/svm/src/libsvm/svm.cpp:1883:13: warning: ‘si.obj’ may be used uninitialized [-Wmaybe-uninitialized]
   1883 |         info("obj = %f, rho = %f\n",si.obj,si.rho);
        |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  ../sklearn/svm/src/libsvm/svm.cpp:1856:30: note: ‘si’ declared here
   1856 |         Solver::SolutionInfo si;
        |                              ^~
  In file included from ../sklearn/svm/src/libsvm/libsvm_template.cpp:8:
  ../sklearn/svm/src/libsvm/svm.cpp: In function ‘svm_csr::svm_train_one(svm_csr_problem const*, svm_parameter const*, double, double, int*, BlasFunctions*)’:
  ../sklearn/svm/src/libsvm/svm.cpp:1883:13: warning: ‘si.rho’ may be used uninitialized [-Wmaybe-uninitialized]
   1883 |         info("obj = %f, rho = %f\n",si.obj,si.rho);
        |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  ../sklearn/svm/src/libsvm/svm.cpp:1856:30: note: ‘si’ declared here
   1856 |         Solver::SolutionInfo si;
        |                              ^~
  ../sklearn/svm/src/libsvm/svm.cpp:1883:13: warning: ‘si.obj’ may be used uninitialized [-Wmaybe-uninitialized]
   1883 |         info("obj = %f, rho = %f\n",si.obj,si.rho);
        |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  ../sklearn/svm/src/libsvm/svm.cpp:1856:30: note: ‘si’ declared here
   1856 |         Solver::SolutionInfo si;
        |                              ^~
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  sklearn/metrics/_dist_metrics.cpython-313-x86_64-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-x86_64-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c:29605:29: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  29605 |             __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-x86_64-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-x86_64-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c:30390:27: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  30390 |           __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-x86_64-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-x86_64-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c:49229:29: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  49229 |             __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-x86_64-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-x86_64-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c:50014:27: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  50014 |           __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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  sklearn/datasets/_svmlight_format_fast.cpython-313-x86_64-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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  sklearn/neighbors/_ball_tree.cpython-313-x86_64-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-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:32767:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  32767 |   __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-x86_64-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-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:40182:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  40182 |   __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-x86_64-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-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:40735:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  40735 |   __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-x86_64-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-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:41641:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  41641 |   __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-x86_64-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-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:42252:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  42252 |   __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-x86_64-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-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:42655:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  42655 |   __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-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:42665:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  42665 |   __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-x86_64-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-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:46580:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  46580 |   __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-x86_64-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-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:54004:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  54004 |   __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-x86_64-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-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:54557:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  54557 |   __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-x86_64-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-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:55463:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  55463 |   __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-x86_64-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-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:56074:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  56074 |   __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-x86_64-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-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:56477:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  56477 |   __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-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:56487:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  56487 |   __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-x86_64-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-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:58364:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  58364 |   __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-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:58387:20: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  58387 |   __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-x86_64-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-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:59739:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  59739 |   __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-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:59762:20: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  59762 |   __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-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:55786:19:
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:58113:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized]
  58113 |     __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])]));
        |                                                    ^
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-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-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:55363:55: note: ‘__pyx_v_sample_weight’ was declared here
  55363 |   __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-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:41964:19:
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:58172:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized]
  58172 |     __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])]));
        |                                                    ^
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-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-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:41541:55: note: ‘__pyx_v_sample_weight’ was declared here
  41541 |   __pyx_t_7sklearn_5utils_9_typedefs_float64_t const *__pyx_v_sample_weight;
        |                                                       ^~~~~~~~~~~~~~~~~~~~~
  [169/251] Compiling C object sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_neighbors__kd_tree.pyx.c.o
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-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-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:32635:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  32635 |   __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-x86_64-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-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:40050:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  40050 |   __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-x86_64-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-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:40603:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  40603 |   __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-x86_64-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-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:41509:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  41509 |   __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-x86_64-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-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:42120:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  42120 |   __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-x86_64-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-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:42523:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  42523 |   __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-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:42533:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  42533 |   __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-x86_64-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-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:46448:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  46448 |   __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-x86_64-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-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:53872:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  53872 |   __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-x86_64-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-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:54425:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  54425 |   __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-x86_64-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-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:55331:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  55331 |   __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-x86_64-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-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:55942:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  55942 |   __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-x86_64-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-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:56345:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  56345 |   __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-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:56355:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  56355 |   __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-x86_64-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-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:58229:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  58229 |   __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-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:58241:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  58241 |   __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-x86_64-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-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:60038:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  60038 |   __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-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:60050:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  60050 |   __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-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:55654:19:
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:57981:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized]
  57981 |     __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])]));
        |                                                    ^
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-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-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:55231:55: note: ‘__pyx_v_sample_weight’ was declared here
  55231 |   __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-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:41832:19:
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:58040:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized]
  58040 |     __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])]));
        |                                                    ^
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-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-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:41409:55: note: ‘__pyx_v_sample_weight’ was declared here
  41409 |   __pyx_t_7sklearn_5utils_9_typedefs_float64_t const *__pyx_v_sample_weight;
        |                                                       ^~~~~~~~~~~~~~~~~~~~~
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  In file included from /usr/include/c++/15/x86_64-redhat-linux/bits/c++allocator.h:33,
                   from /usr/include/c++/15/bits/allocator.h:46,
                   from /usr/include/c++/15/string:45,
                   from /usr/include/c++/15/bits/locale_classes.h:42,
                   from /usr/include/c++/15/bits/ios_base.h:43,
                   from /usr/include/c++/15/ios:46,
                   from sklearn/tree/_tree.cpython-313-x86_64-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++/15/bits/alloc_traits.h:674:17,
      inlined from ‘std::deque<long, std::allocator<long> >::_M_push_back_aux<long const&>(long const&)void’ at /usr/include/c++/15/bits/deque.tcc:501:30,
      inlined from ‘std::deque<long, std::allocator<long> >::push_back(long const&)’ at /usr/include/c++/15/bits/stl_deque.h:1553:20,
      inlined from ‘std::stack<long, std::deque<long, std::allocator<long> > >::push(long const&)’ at /usr/include/c++/15/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-x86_64-linux-gnu.so.p/sklearn/tree/_tree.pyx.cpp:44004:44:
  /usr/include/c++/15/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-x86_64-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-x86_64-linux-gnu.so.p/sklearn/tree/_tree.pyx.cpp:43134:45: note: ‘__pyx_v_pruned_branch_node_idx’ was declared here
  43134 |   __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_pruned_branch_node_idx;
        |                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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  Preparing metadata (pyproject.toml): finished with status 'done'
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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-1.6.1-cp313-cp313-linux_x86_64.whl size=49773850 sha256=60185bcb49f865c4cac880ce9cb2066fe6d685d37c2b457c7cec09ee5fea0577
  Stored in directory: /builddir/.cache/pip/wheels/a7/a3/6b/237bf3c54728bf790c05584280a45227d254bf1168d686f5d7
Successfully built scikit-learn
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.Uuzngh
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.6.1-build
+ '[' /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT '!=' / ']'
+ rm -rf /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT
++ dirname /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT
+ mkdir -p /builddir/build/BUILD/python-scikit-learn-1.6.1-build
+ mkdir /builddir/build/BUILD/python-scikit-learn-1.6.1-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  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -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  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -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  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -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  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -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-1.6.1
++ ls /builddir/build/BUILD/python-scikit-learn-1.6.1-build/scikit_learn-1.6.1/pyproject-wheeldir/scikit_learn-1.6.1-cp313-cp313-linux_x86_64.whl
++ xargs basename --multiple
++ sed -E 's/([^-]+)-([^-]+)-.+\.whl/\1==\2/'
+ specifier=scikit_learn==1.6.1
+ '[' -z scikit_learn==1.6.1 ']'
+ TMPDIR=/builddir/build/BUILD/python-scikit-learn-1.6.1-build/scikit_learn-1.6.1/.pyproject-builddir
+ /usr/bin/python3 -m pip install --root /builddir/build/BUILD/python-scikit-learn-1.6.1-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-1.6.1-build/scikit_learn-1.6.1/pyproject-wheeldir scikit_learn==1.6.1
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-1.6.1-build/scikit_learn-1.6.1/pyproject-wheeldir
Processing ./pyproject-wheeldir/scikit_learn-1.6.1-cp313-cp313-linux_x86_64.whl
Installing collected packages: scikit_learn
Successfully installed scikit_learn-1.6.1
+ '[' -d /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/bin ']'
+ rm -f /builddir/build/BUILD/python-scikit-learn-1.6.1-build/python-scikit-learn-1.6.1-3.fc43.x86_64-pyproject-ghost-distinfo
+ site_dirs=()
+ '[' -d /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib/python3.13/site-packages ']'
+ '[' /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages '!=' /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib/python3.13/site-packages ']'
+ '[' -d /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages ']'
+ site_dirs+=("/usr/lib64/python3.13/site-packages")
+ for site_dir in ${site_dirs[@]}
+ for distinfo in /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT$site_dir/*.dist-info
+ echo '%ghost /usr/lib64/python3.13/site-packages/scikit_learn-1.6.1.dist-info'
+ sed -i s/pip/rpm/ /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/scikit_learn-1.6.1.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-1.6.1-build/BUILDROOT --record /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/scikit_learn-1.6.1.dist-info/RECORD --output /builddir/build/BUILD/python-scikit-learn-1.6.1-build/python-scikit-learn-1.6.1-3.fc43.x86_64-pyproject-record
+ rm -fv /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/scikit_learn-1.6.1.dist-info/RECORD
removed '/builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/scikit_learn-1.6.1.dist-info/RECORD'
+ rm -fv /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/scikit_learn-1.6.1.dist-info/REQUESTED
removed '/builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/scikit_learn-1.6.1.dist-info/REQUESTED'
++ wc -l /builddir/build/BUILD/python-scikit-learn-1.6.1-build/python-scikit-learn-1.6.1-3.fc43.x86_64-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-1.6.1-build/python-scikit-learn-1.6.1-3.fc43.x86_64-pyproject-files --output-modules /builddir/build/BUILD/python-scikit-learn-1.6.1-build/python-scikit-learn-1.6.1-3.fc43.x86_64-pyproject-modules --buildroot /builddir/build/BUILD/python-scikit-learn-1.6.1-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-1.6.1-build/python-scikit-learn-1.6.1-3.fc43.x86_64-pyproject-record --prefix /usr sklearn
+ /usr/bin/find-debuginfo -j2 --strict-build-id -m -i --build-id-seed 1.6.1-3.fc43 --unique-debug-suffix -1.6.1-3.fc43.x86_64 --unique-debug-src-base python-scikit-learn-1.6.1-3.fc43.x86_64 --run-dwz --dwz-low-mem-die-limit 10000000 --dwz-max-die-limit 110000000 -S debugsourcefiles.list /builddir/build/BUILD/python-scikit-learn-1.6.1-build/scikit_learn-1.6.1
find-debuginfo: starting
Extracting debug info from 68 files
DWARF-compressing 68 files
sepdebugcrcfix: Updated 68 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-1.6.1-3.fc43.x86_64
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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/cluster/_optics.py is executable but has no shebang, removing executable bit
*** WARNING: ./usr/lib64/python3.13/site-packages/sklearn/ensemble/tests/test_weight_boosting.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 -j2
Bytecompiling .py files below /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13 using python3.13
Bytecompiling .py files below /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib/debug/usr/lib64/python3.13 using python3.13
+ /usr/lib/rpm/redhat/brp-python-hardlink
+ /usr/bin/add-determinism --brp -j2 /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT
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Scanned 243 directories and 2117 files,
               processed 899 inodes,
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               0 unsupported format, 0 errors
Reading /builddir/build/BUILD/python-scikit-learn-1.6.1-build/SPECPARTS/rpm-debuginfo.specpart
Executing(%check): /bin/sh -e /var/tmp/rpm-tmp.boPlqg
~/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages ~/build/BUILD/python-scikit-learn-1.6.1-build/scikit_learn-1.6.1
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.6.1-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  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -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  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -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  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -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  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -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-1.6.1
+ export PYTHONDONTWRITEBYTECODE=1
+ PYTHONDONTWRITEBYTECODE=1
+ export 'PYTEST_ADDOPTS=-p no:cacheprovider'
+ PYTEST_ADDOPTS='-p no:cacheprovider'
+ pushd /builddir/build/BUILD/python-scikit-learn-1.6.1-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/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 3.13.2, pytest-8.3.5, pluggy-1.5.0
rootdir: /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages
collected 37831 items / 32 deselected / 1 skipped / 37799 selected

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sklearn/cluster/tests/test_bicluster.py .....................            [  5%]
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sklearn/cluster/tests/test_bisect_k_means.py ............sss.........    [  5%]
sklearn/cluster/tests/test_dbscan.py ..............................      [  5%]
sklearn/cluster/tests/test_feature_agglomeration.py ...                  [  5%]
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=============================== warnings summary ===============================
sklearn/utils/_test_common/instance_generator.py:705
sklearn/utils/_test_common/instance_generator.py:705
sklearn/utils/_test_common/instance_generator.py:705
sklearn/utils/_test_common/instance_generator.py:705
sklearn/utils/_test_common/instance_generator.py:705
sklearn/utils/_test_common/instance_generator.py:705
sklearn/utils/_test_common/instance_generator.py:705
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/_test_common/instance_generator.py:705: SkipTestWarning: Can't instantiate estimator FrozenEstimator
    warnings.warn(msg, SkipTestWarning)

sklearn/utils/_test_common/instance_generator.py:705
sklearn/utils/_test_common/instance_generator.py:705
sklearn/utils/_test_common/instance_generator.py:705
sklearn/utils/_test_common/instance_generator.py:705
sklearn/utils/_test_common/instance_generator.py:705
sklearn/utils/_test_common/instance_generator.py:705
sklearn/utils/_test_common/instance_generator.py:705
sklearn/utils/_test_common/instance_generator.py:705
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/_test_common/instance_generator.py:705: SkipTestWarning: Can't instantiate estimator SparseCoder
    warnings.warn(msg, SkipTestWarning)

sklearn/utils/estimator_checks.py:370
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:370: SkipTestWarning: Explicit SKIP via _skip_test tag for estimator ClassifierChain.
    warnings.warn(

sklearn/utils/estimator_checks.py:362
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:362: SkipTestWarning: Can't test estimator CountVectorizer which requires input  of type InputTags(one_d_array=False, two_d_array=False, three_d_array=False, sparse=False, categorical=False, string=True, dict=False, positive_only=False, allow_nan=False, pairwise=False)
    warnings.warn(

sklearn/utils/estimator_checks.py:362
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:362: SkipTestWarning: Can't test estimator DictVectorizer which requires input  of type InputTags(one_d_array=False, two_d_array=False, three_d_array=False, sparse=False, categorical=False, string=False, dict=True, positive_only=False, allow_nan=False, pairwise=False)
    warnings.warn(

sklearn/utils/estimator_checks.py:362
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:362: SkipTestWarning: Can't test estimator FeatureHasher which requires input  of type InputTags(one_d_array=False, two_d_array=False, three_d_array=False, sparse=False, categorical=False, string=False, dict=True, positive_only=False, allow_nan=False, pairwise=False)
    warnings.warn(

sklearn/utils/estimator_checks.py:362
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:362: SkipTestWarning: Can't test estimator HashingVectorizer which requires input  of type InputTags(one_d_array=False, two_d_array=False, three_d_array=False, sparse=False, categorical=False, string=True, dict=False, positive_only=False, allow_nan=False, pairwise=False)
    warnings.warn(

sklearn/utils/estimator_checks.py:362
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:362: SkipTestWarning: Can't test estimator IsotonicRegression which requires input  of type InputTags(one_d_array=True, two_d_array=False, three_d_array=False, sparse=False, categorical=False, string=False, dict=False, positive_only=False, allow_nan=False, pairwise=False)
    warnings.warn(

sklearn/utils/estimator_checks.py:362
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:362: SkipTestWarning: Can't test estimator LabelBinarizer which requires input  of type InputTags(one_d_array=False, two_d_array=False, three_d_array=False, sparse=False, categorical=False, string=False, dict=False, positive_only=False, allow_nan=False, pairwise=False)
    warnings.warn(

sklearn/utils/estimator_checks.py:362
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:362: SkipTestWarning: Can't test estimator LabelEncoder which requires input  of type InputTags(one_d_array=False, two_d_array=False, three_d_array=False, sparse=False, categorical=False, string=False, dict=False, positive_only=False, allow_nan=False, pairwise=False)
    warnings.warn(

sklearn/utils/estimator_checks.py:362
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:362: SkipTestWarning: Can't test estimator MultiLabelBinarizer which requires input  of type InputTags(one_d_array=False, two_d_array=False, three_d_array=False, sparse=False, categorical=False, string=False, dict=False, positive_only=False, allow_nan=False, pairwise=False)
    warnings.warn(

sklearn/utils/estimator_checks.py:370
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:370: SkipTestWarning: Explicit SKIP via _skip_test tag for estimator MultiOutputClassifier.
    warnings.warn(

sklearn/utils/estimator_checks.py:362
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:362: SkipTestWarning: Can't test estimator PatchExtractor which requires input  of type InputTags(one_d_array=False, two_d_array=False, three_d_array=True, sparse=False, categorical=False, string=False, dict=False, positive_only=False, allow_nan=False, pairwise=False)
    warnings.warn(

sklearn/utils/estimator_checks.py:362
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:362: SkipTestWarning: Can't test estimator TfidfVectorizer which requires input  of type InputTags(one_d_array=False, two_d_array=False, three_d_array=False, sparse=False, categorical=False, string=True, dict=False, positive_only=False, allow_nan=False, pairwise=False)
    warnings.warn(

../../../../../scikit_learn-1.6.1/sklearn/utils/_typedefs.pyx:21
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/scikit_learn-1.6.1/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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/_affinity_propagation.py:50: UserWarning: All samples have mutually equal similarities. Returning arbitrary cluster center(s).
    warnings.warn(

sklearn/cluster/tests/test_bicluster.py::test_n_features_in_[est0]
sklearn/cluster/tests/test_bicluster.py::test_n_features_in_[est0]
sklearn/cluster/tests/test_bicluster.py::test_n_features_in_[est0]
sklearn/preprocessing/tests/test_discretization.py::test_redundant_bins[kmeans-expected_bin_edges1]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/base.py:1389: 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/cluster/tests/test_birch.py::test_birch_predict[float64-42]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/_birch.py:727: 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: 21 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_base.py:248: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/_hdbscan/hdbscan.py:273: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/_agglomerative.py:596: 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: 6 warnings
sklearn/decomposition/tests/test_online_lda.py: 2 warnings
sklearn/ensemble/tests/test_bagging.py: 2 warnings
sklearn/manifold/tests/test_mds.py: 1 warning
sklearn/metrics/tests/test_pairwise.py: 2 warnings
sklearn/model_selection/tests/test_search.py: 4 warnings
sklearn/neighbors/tests/test_kd_tree.py: 2 warnings
sklearn/neighbors/tests/test_neighbors.py: 2 warnings
sklearn/tests/test_multioutput.py: 2 warnings
  /usr/lib/python3.13/site-packages/joblib/externals/loky/backend/fork_exec.py:38: DeprecationWarning: This process (pid=12905) 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
  /builddir/build/BUILD/python-scikit-learn-1.6.1-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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/tests/test_spectral.py:298: 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/covariance/tests/test_graphical_lasso.py::test_graphical_lasso_n_iter[cd]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/covariance/_graph_lasso.py:140: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008809462491800035, 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/covariance/_graph_lasso.py:140: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0010103266374812958, tolerance: 8.968620303769849e-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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/covariance/_graph_lasso.py:140: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.002290488556457415, tolerance: 0.00011435637954661178
    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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/covariance/_graph_lasso.py:192: 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-1.6.1-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:191: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/datasets/tests/test_base.py:241: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/datasets/tests/test_base.py:250: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/datasets/_openml.py:1030: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/datasets/tests/test_svmlight_format.py:287: 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_multioutput.py: 39 warnings
sklearn/utils/tests/test_estimator_checks.py: 1 warning
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_stochastic_gradient.py:738: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
    warnings.warn(

sklearn/decomposition/tests/test_nmf.py: 30 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:1742: ConvergenceWarning: Maximum number of iterations 200 reached. Increase it to improve convergence.
    warnings.warn(

sklearn/decomposition/tests/test_nmf.py: 14 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:2328: ConvergenceWarning: Maximum number of iterations 200 reached. Increase it to improve convergence.
    warnings.warn(

sklearn/decomposition/tests/test_nmf.py::test_nmf_fit_close[NMF-solver1]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:1742: ConvergenceWarning: Maximum number of iterations 600 reached. Increase it to improve convergence.
    warnings.warn(

sklearn/decomposition/tests/test_nmf.py: 24 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:1595: 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(max_iter=500)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:1742: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:179: RuntimeWarning: divide by zero encountered in power
    sum_WH_beta = np.sum(WH**beta)

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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_lda.py:924: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/ensemble/_bagging.py:1012: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/ensemble/_bagging.py:871: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/ensemble/_bagging.py:865: 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: 7 warnings
sklearn/tree/tests/test_tree.py: 73 warnings
sklearn/utils/tests/test_response.py: 1 warning
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/tree/_classes.py:1089: RuntimeWarning: divide by zero encountered in log
    return np.log(proba)

sklearn/ensemble/tests/test_common.py: 8 warnings
sklearn/linear_model/tests/test_common.py: 2 warnings
sklearn/tests/test_multioutput.py: 1 warning
sklearn/tests/test_pipeline.py: 2 warnings
sklearn/utils/tests/test_estimator_checks.py: 2 warnings
sklearn/utils/tests/test_estimator_html_repr.py: 1 warning
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_logistic.py:465: 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-1.6.1-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[RandomForestClassifier]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/ensemble/_forest.py:612: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/base.py:1389: 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
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neural_network/_multilayer_perceptron.py:691: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn't converged yet.
    warnings.warn(

sklearn/ensemble/tests/test_weight_boosting.py: 9 warnings
sklearn/tests/test_common.py: 8 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/ensemble/_weight_boosting.py:610: RuntimeWarning: divide by zero encountered in log
    np.log(sample_weight)

sklearn/ensemble/tests/test_weight_boosting.py::test_sample_weights_infinite
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/ensemble/_weight_boosting.py:609: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:805: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/feature_extraction/text.py:402: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/feature_extraction/text.py:547: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/feature_selection/_univariate_selection.py:111: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/feature_selection/_univariate_selection.py:112: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/feature_selection/_base.py:122: 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
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/svm/_base.py:1249: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/feature_selection/_variance_threshold.py:114: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/feature_selection/_variance_threshold.py:122: 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-1.6.1-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-1.6.1-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-1.6.1-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-1.6.1-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-1.6.1-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_anisotropic_kernel
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/_gpr.py:660: ConvergenceWarning: lbfgs failed to converge (status=2):
  ABNORMAL_TERMINATION_IN_LNSRCH.
  
  Increase the number of iterations (max_iter) or scale the data as shown in:
      https://scikit-learn.org/stable/modules/preprocessing.html
    _check_optimize_result("lbfgs", opt_res)

sklearn/gaussian_process/tests/test_gpr.py::test_random_starts
  /builddir/build/BUILD/python-scikit-learn-1.6.1-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-1.6.1-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-1.6.1-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-1.6.1-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-1.6.1-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-1.6.1-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-1.6.1-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-1.6.1-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/gaussian_process/tests/test_gpr.py::test_gpr_predict_input_not_modified
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:452: ConvergenceWarning: The optimal value found for dimension 0 of parameter constant_value 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::test_gpr_predict_input_not_modified
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/_gpr.py:478: UserWarning: Predicted variances smaller than 0. Setting those variances to 0.
    warnings.warn(

sklearn/impute/tests/test_common.py: 16 warnings
sklearn/impute/tests/test_impute.py: 1 warning
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/impute/_base.py:635: 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: 4 warnings
sklearn/impute/tests/test_impute.py: 14 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/impute/_base.py:635: 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: 33 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/impute/_iterative.py:895: ConvergenceWarning: [IterativeImputer] Early stopping criterion not reached.
    warnings.warn(

sklearn/impute/tests/test_impute.py: 11 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/impute/_base.py:635: 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: 16 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/impute/_base.py:635: 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::test_iterative_imputer_all_missing
sklearn/impute/tests/test_impute.py::test_iterative_imputer_all_missing
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/impute/_base.py:635: 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_impute.py::test_iterative_imputer_min_max_value_remove_empty
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/impute/_base.py:635: UserWarning: Skipping features without any observed values: [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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/_chunking.py:172: 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_multioutput.py: 1 warning
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_stochastic_gradient.py:1608: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_sag.py:348: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
    warnings.warn(

sklearn/linear_model/tests/test_common.py: 14 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/validation.py:1408: 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().
    y = column_or_1d(y, warn=True)

sklearn/linear_model/tests/test_common.py::test_linear_model_regressor_coef_shape[2-ElasticNetCV]
sklearn/linear_model/tests/test_common.py::test_linear_model_regressor_coef_shape[2-LassoCV]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:1664: 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().
    y = column_or_1d(y, warn=True)

sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_nonfinite_params
  /usr/lib64/python3.13/site-packages/numpy/_core/_methods.py:135: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_base.py:311: RuntimeWarning: invalid value encountered in matmul
    intercept_ = y_offset - X_offset @ coef_

sklearn/linear_model/tests/test_coordinate_descent.py::test_lasso_alpha_warning
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:695: 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_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]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_huber.py:343: 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-1.6.1-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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:254: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:252: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:252: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:252: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_regression.py:1266: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:1108: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:215: 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
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:805: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:252: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:252: 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[1.0]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:358: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:656: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/manifold/_isomap.py:384: 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: 18 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/manifold/_isomap.py:384: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/manifold/_isomap.py:384: 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: 1 warning
sklearn/metrics/tests/test_common.py: 76 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1565: 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: 1 warning
sklearn/metrics/tests/test_common.py: 25 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1565: 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: 1 warning
sklearn/metrics/tests/test_common.py: 75 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1565: 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]
sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[precision_score]
sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[precision_score]
sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[precision_score]
sklearn/metrics/tests/test_common.py::test_no_averaging_labels
sklearn/metrics/tests/test_common.py::test_no_averaging_labels
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1565: 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]
sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[recall_score]
sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[recall_score]
sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[recall_score]
sklearn/metrics/tests/test_common.py::test_no_averaging_labels
sklearn/metrics/tests/test_common.py::test_no_averaging_labels
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1565: 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: 3 warnings
sklearn/metrics/tests/test_common.py: 9 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1565: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:407: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:2067: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:2074: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/_param_validation.py:216: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:2524: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1618: 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
sklearn/utils/tests/test_estimator_checks.py: 2 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/_array_api.py:399: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_ranking.py:2036: 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::test_averaging_multilabel_all_zeroes[f0.5_score]
sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[f1_score]
sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[f2_score]
sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[samples_f0.5_score]
sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[samples_f1_score]
sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[samples_f2_score]
sklearn/metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight
sklearn/metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight
sklearn/metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in samples with no true nor predicted labels. Use `zero_division` parameter to control this behavior.
    _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))

sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[jaccard_score]
sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[jaccard_score]
sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[jaccard_score]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Jaccard is ill-defined and being set to 0.0 in labels with no true or predicted samples. Use `zero_division` parameter to control this behavior.
    _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))

sklearn/metrics/tests/test_common.py: 25 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Jaccard is ill-defined and being set to 0.0 due to no true or predicted samples. Use `zero_division` parameter to control this behavior.
    _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))

sklearn/metrics/tests/test_common.py: 2 warnings
sklearn/metrics/tests/test_score_objects.py: 3 warnings
sklearn/tests/test_multioutput.py: 6 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1565: 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/metrics/tests/test_common.py: 27 warnings
sklearn/metrics/tests/test_score_objects.py: 4 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1565: 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_common.py::test_averaging_multilabel_all_zeroes[recall_score]
sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[samples_recall_score]
sklearn/metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight
sklearn/metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight
sklearn/metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight
sklearn/metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in samples with no true 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_ranking.py:1033: 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-1.6.1-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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_regression.py:930: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_regression.py:930: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/mixture/_bayesian_mixture.py:810: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/base.py:1389: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/mixture/_base.py:269: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:317: 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: 8 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:317: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:317: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:1108: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:1108: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_stochastic_gradient.py:1388: RuntimeWarning: divide by zero encountered in log
    return np.log(self.predict_proba(X))

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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:317: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:805: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:805: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:805: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:1023: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:1023: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:1023: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:317: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:317: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:317: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:877: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py:1380: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py:1380: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:805: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py:1380: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py:1380: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py:960: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py", line 949, 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_lof.py:282: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_lof.py:282: 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_n_features_in_after_fitting]
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]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_lof.py:282: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_lof.py:282: 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_nca.py::test_callback
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_nca.py:333: ConvergenceWarning: [NeighborhoodComponentsAnalysis] NCA did not converge: STOP: TOTAL NO. of ITERATIONS REACHED LIMIT
    warn(

sklearn/neighbors/tests/test_nearest_centroid.py::test_features_zero_var
sklearn/neighbors/tests/test_nearest_centroid.py::test_error_zero_variances[array]
sklearn/neighbors/tests/test_nearest_centroid.py::test_error_zero_variances[csr_matrix]
sklearn/neighbors/tests/test_nearest_centroid.py::test_error_zero_variances[csr_array]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_nearest_centroid.py:244: UserWarning: self.within_class_std_dev_ has at least 1 zero standard deviation.Inputs within the same classes for at least 1 feature are identical.
    warnings.warn(

sklearn/neighbors/tests/test_neighbors.py: 185 warnings
sklearn/tests/test_common.py: 48 warnings
  /usr/lib64/python3.13/site-packages/numpy/_core/numeric.py:442: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_classification.py:874: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_base.py:598: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_unsupervised.py:179: 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[float64-42-yule]
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-yule]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/pairwise.py:2466: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_classification.py:864: 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[float64-42-dice]
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-dice]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/pairwise.py:2466: DataConversionWarning: Data was converted to boolean for metric dice
    warnings.warn(msg, DataConversionWarning)

sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-jaccard]
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-jaccard]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/pairwise.py:2466: DataConversionWarning: Data was converted to boolean for metric jaccard
    warnings.warn(msg, DataConversionWarning)

sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-rogerstanimoto]
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-rogerstanimoto]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/pairwise.py:2466: DataConversionWarning: Data was converted to boolean for metric rogerstanimoto
    warnings.warn(msg, DataConversionWarning)

sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-russellrao]
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-russellrao]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/pairwise.py:2466: DataConversionWarning: Data was converted to boolean for metric russellrao
    warnings.warn(msg, DataConversionWarning)

sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-sokalmichener]
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-sokalmichener]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/pairwise.py:2466: DataConversionWarning: Data was converted to boolean for metric sokalmichener
    warnings.warn(msg, DataConversionWarning)

sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-sokalsneath]
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-sokalsneath]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/pairwise.py:2466: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_base.py:668: 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-1.6.1-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/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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/extmath.py:1101: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/extmath.py:1106: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/extmath.py:1126: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2829: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2829: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2829: 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_impl.py:1620: RuntimeWarning: All-NaN slice encountered
    return fnb._ureduce(a,

sklearn/preprocessing/tests/test_discretization.py::test_fit_transform[quantile-expected5-sample_weight5]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_discretization.py:306: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_discretization.py:306: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_discretization.py:306: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_discretization.py:306: 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_encoders.py::test_one_hot_encoder_handle_unknown[warn]
sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_inverse[None-False-warn]
sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_inverse[None-True-warn]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_encoders.py:246: UserWarning: Found unknown categories in columns [0, 1] during transform. These unknown categories will be encoded as all zeros
    warnings.warn(

sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_handle_unknown_strings[warn]
sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[object-warn]
sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[numeric-warn]
sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[object-string-warn]
sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[object-string-none-warn]
sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[object-string-nan-warn]
sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[object-None-and-nan-warn]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_encoders.py:246: UserWarning: Found unknown categories in columns [0] during transform. These unknown categories will be encoded as all zeros
    warnings.warn(

sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_inverse[None-False-warn]
sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_inverse[None-True-warn]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_encoders.py:246: UserWarning: Found unknown categories in columns [1] during transform. These unknown categories will be encoded as all zeros
    warnings.warn(

sklearn/svm/tests/test_svm.py::test_svc_nonfinite_params
  /usr/lib64/python3.13/site-packages/numpy/_core/_methods.py:171: RuntimeWarning: overflow encountered in reduce
    arrmean = umr_sum(arr, axis, dtype, keepdims=True, where=where)

sklearn/tests/test_calibration.py: 19 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/calibration.py:333: UserWarning: The `cv='prefit'` option is deprecated in 1.6 and will be removed in 1.8. You can use CalibratedClassifierCV(FrozenEstimator(estimator)) instead.
    warnings.warn(

sklearn/tests/test_calibration.py::test_calibration_prefit[csr_matrix]
sklearn/tests/test_calibration.py::test_calibration_prefit[csr_matrix]
sklearn/tests/test_calibration.py::test_calibration_prefit[csr_matrix]
sklearn/tests/test_calibration.py::test_calibration_prefit[csr_matrix]
sklearn/tests/test_calibration.py::test_calibration_prefit[csr_array]
sklearn/tests/test_calibration.py::test_calibration_prefit[csr_array]
sklearn/tests/test_calibration.py::test_calibration_prefit[csr_array]
sklearn/tests/test_calibration.py::test_calibration_prefit[csr_array]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/calibration.py:378: UserWarning: Since FrozenEstimator does not appear to accept sample_weight, sample weights will only be used for the calibration itself. This can be caused by a limitation of the current scikit-learn API. See the following issue for more details: https://github.com/scikit-learn/scikit-learn/issues/21134. Be warned that the result of the calibration is likely to be incorrect.
    warnings.warn(

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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py:1380: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/naive_bayes.py:512: RuntimeWarning: divide by zero encountered in log
    jointi = np.log(self.class_prior_[i])

sklearn/tests/test_common.py: 12 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_pca.py:586: RuntimeWarning: invalid value encountered in divide
    explained_variance_ = (S**2) / (n_samples - 1)

sklearn/tests/test_common.py: 23 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.1-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(n_clusters=2,n_init=2)-check_estimator_sparse_array]
sklearn/tests/test_common.py::test_estimators[SpectralCoclustering(n_clusters=2,n_init=2)-check_estimator_sparse_matrix]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/_bicluster.py:343: RuntimeWarning: invalid value encountered in multiply
    z = np.vstack((row_diag[:, np.newaxis] * u, col_diag[:, np.newaxis] * v))

sklearn/tests/test_common.py::test_transformers_get_feature_names_out[FastICA(max_iter=5)]
sklearn/tests/test_common.py::test_set_output_transform[FastICA(max_iter=5)]
sklearn/tests/test_common.py::test_set_output_transform[FastICA(max_iter=5)]
sklearn/tests/test_common.py::test_set_output_transform[FastICA(max_iter=5)]
sklearn/tests/test_common.py::test_set_output_transform[FastICA(max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_fastica.py:127: ConvergenceWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations.
    warnings.warn(

sklearn/tests/test_common.py::test_transformers_get_feature_names_out[Isomap()]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/manifold/_isomap.py:384: 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[MiniBatchNMF(batch_size=10,fresh_restarts=True,max_iter=20)]
sklearn/tests/test_common.py::test_set_output_transform[MiniBatchNMF(batch_size=10,fresh_restarts=True,max_iter=20)]
sklearn/tests/test_common.py::test_set_output_transform[MiniBatchNMF(batch_size=10,fresh_restarts=True,max_iter=20)]
sklearn/tests/test_common.py::test_set_output_transform[MiniBatchNMF(batch_size=10,fresh_restarts=True,max_iter=20)]
sklearn/tests/test_common.py::test_set_output_transform[MiniBatchNMF(batch_size=10,fresh_restarts=True,max_iter=20)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:2328: ConvergenceWarning: Maximum number of iterations 20 reached. Increase it to improve convergence.
    warnings.warn(

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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/kernel_approximation.py:1020: 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_transformers_get_feature_names_out[QuantileTransformer()]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2829: 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_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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2829: 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[AffinityPropagation(max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/_affinity_propagation.py:140: ConvergenceWarning: Affinity propagation did not converge, this model may return degenerate cluster centers and labels.
    warnings.warn(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.013600403306895714, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03665116082127895, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04233828757356406, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04399714422718404, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0453915031566936, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04655165148312079, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04750425703219463, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04827386488003782, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04888295807549525, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04935201401120537, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049699583577840656, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04994238724837885, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0501720797127021, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0501842580428189, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05014248637939289, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05005603901083333, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049933049066865465, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04978061682042778, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0496049121684905, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04941127070069484, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04920428302828128, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048765394618705216, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04853965851587816, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04831303709097767, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04808749978929683, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04786466819177093, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0476458615376103, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04743213733014073, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04722432742701699, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04702307000648176, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.046828837784730126, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04664196284635125, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04646265842209374, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04629103793018885, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0461271315741385, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04582225058616274, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04568104061268485, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04554709413283575, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045420206107571914, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045300149938817924, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04518668321899355, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0450795525945864, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0449784978477723, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04488325531230686, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04479356069939655, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04470915142423593, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044629768498126055, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04455515804885124, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044485072521517566, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04441927160951309, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0443575229552593, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04429960265618149, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04424529560596824, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044194395700536404, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04414670592748848, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044102038368848184, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044060214116413476, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04402106313506238, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04398442406694869, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043950144010324266, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04391807825061278, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04388808998771765, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0438600500367059, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04383383651777706, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04380933454916658, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04378643592706766, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04376503881735516, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043745047445220564, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04372637178229155, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0437089272636797, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04369263448816696, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04367741894149901, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04366321073304391, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043649944328045365, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04363755829768934, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04361520082230186, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0436051250047953, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04359572039133752, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04358694277451747, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04357875078087403, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043571105726528, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04356397141222601, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05152386498556183, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05349220795529419, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05358147192696805, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05323022641039188, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.052857208749472306, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0523890952827486, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05184795600123948, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.051252333611017775, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05061774695153787, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04995712587909651, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04928118674135362, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04859875636764599, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04791705145458991, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04724191931889976, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04657804520032016, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0459291306130325, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045298046647459955, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04468696560756058, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04409747392097785, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043530668866111455, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04298724132530651, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.042467546475371876, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.041971664074239357, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.040624582536928244, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.040220880422964456, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03983880562215347, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03947762743811012, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.039136569740094274, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03881482635758715, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03851157382970172, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0382259819009505, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03795722209201813, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.037466934035791155, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0372438134272457, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03703434797959915, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.036837797442721865, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.036653448003207245, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.036480613558026675, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03631863650373646, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.036166888126786034, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03602476866502258, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.035891707107040816, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03576716077160569, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.035650614723820695, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03554158105345806, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03543959805430319, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03534422932696657, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03525506283289559, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.035171709907096727, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03509380425831665, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03502100095693095, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03495297542932008, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03488942246207216, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03483005522557647, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03477460431719237, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034722816839192205, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034674455497992085, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034629297740409015, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03458713492431542, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03454777152540345, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03451102436786613, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03447672191128959, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03444470354907736, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0344148189593767, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034386927477768836, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03436089751473048, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034336605991271085, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0343139378079087, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03429278536299307, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034273048064186185, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03425463189746836, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03423744900778303, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03422141730916195, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03420646010799544, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03419250576697408, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03417948737330789, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03416734244039077, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034156012610147, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034145443394287156, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.013600403306895714, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03665116082126474, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.042338287573556954, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0453915031566865, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04750425703223016, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048273864880044925, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0493520140112409, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04969958357786908, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049942387248371745, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0500954227301591, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05017207971274473, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.050184258042826, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.050142486379357365, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.050056039010840436, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049933049066851254, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04978061682041357, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04960491216851182, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0494112707007659, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04920428302829549, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04898787725284137, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0487653946186839, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04853965851587816, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0483130370910132, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048087499789268406, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.047864668191813564, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.047645861537681355, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.047432137330154944, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.047224327427130675, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04702307000644623, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04682883778465197, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04664196284648625, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.046462658422129266, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04629103793020306, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04612713157411008, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045970900760657685, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045822250586354585, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04568104061277012, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045547094132707855, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04542020610764297, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04530014993873266, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04518668321894381, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04507955259440166, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044978497847893095, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04488325531217896, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04479356069955287, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04470915142425724, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04462976849821132, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04455515804913546, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04448507252144651, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04441927160942072, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04435752295574247, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04429960265660782, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044245295606394563, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04419439570023087, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04414670592754533, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04410203836896187, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04406021411712402, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04402106313474974, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04398442406674263, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04395014401001873, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04391807825023619, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043888089987554224, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04386005003608062, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04383383651843786, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04380933454832103, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04378643592768583, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04376503881824334, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04374504744494345, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04372637178215655, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04370892726284836, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04369263448765537, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043677418943794066, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04366321073405999, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04364994432727798, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043637558298811996, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04362599509905607, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04361520082349557, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043605125006230594, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04359572039329862, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0435869427753488, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04357875078354567, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04357110572350109, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04356397140860224, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.02242199605876749, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04823630960411407, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05152386498557604, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.053171065529816985, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.053492207955287085, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.053581471926960944, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05348196852553144, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05323022641040609, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.052857208749458096, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05238909528272728, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05184795600125369, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05125233361098225, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05061774695152366, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04995712587911072, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049281186741332306, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048598756367624674, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04791705145460412, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04724191931887134, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.046578045200270424, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04592913061309645, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04529804664745285, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04468696560762453, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04409747392100627, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043530668866097244, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04298724132531362, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04246754647537898, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.041971664074239357, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0414994497788399, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04105057873812257, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0406245825368714, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04022088042307104, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.039838805622089524, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03947762743809591, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03913656974020796, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03881482635749478, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.038511573829751455, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03822598190090787, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03795722209196839, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03770447463745086, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03746693403590484, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03724381342708938, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03703434797959915, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0368377974426366, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03665344800325698, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03648061355801957, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0363186365037933, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.036166888126814456, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03602476866523574, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03589170710674239, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0357671607717549, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03565061472418307, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.035541581053543325, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03543959805419661, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03534422932701631, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.035255062832980855, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03517170990687646, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.035093804258046646, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0350210009572649, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03495297542949061, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034889422461880315, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03483005522481619, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034774604317746594, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03472281683951195, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03467445549843973, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034629297740551124, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03458713492538834, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03454777152485633, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034511024368924836, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03447672191096984, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034444703548899724, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034414818958580895, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03438692747774752, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034360897515519184, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03433660599048949, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03431393780942926, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03429278536280833, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03427304806439224, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034254631899493404, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034237449009559384, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03422141730796113, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03420646010511774, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03419250576510535, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0341794873743666, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034167342439602066, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034156012612100994, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03414544339607062, 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2829: 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_common.py::test_check_inplace_ensure_writeable[TheilSenRegressor(max_iter=5,max_subpopulation=100)]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-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_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=12905) 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
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/discriminant_analysis.py:1052: RuntimeWarning: divide by zero encountered in power
    X2 = np.dot(Xm, R * (S ** (-0.5)))

sklearn/tests/test_discriminant_analysis.py::test_qda_regularization
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/discriminant_analysis.py:1052: RuntimeWarning: invalid value encountered in multiply
    X2 = np.dot(Xm, R * (S ** (-0.5)))

sklearn/tests/test_discriminant_analysis.py::test_qda_regularization
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/discriminant_analysis.py:1055: RuntimeWarning: divide by zero encountered in log
    u = np.asarray([np.sum(np.log(s)) for s in self.scalings_])

sklearn/tests/test_metaestimators.py: 1 warning
sklearn/tests/test_metaestimators_metadata_routing.py: 30 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/semi_supervised/_self_training.py:288: UserWarning: y contains no unlabeled samples
    warnings.warn("y contains no unlabeled samples", UserWarning)

sklearn/tests/test_metaestimators.py::test_meta_estimators_delegate_data_validation[HalvingRandomSearchCV0]
sklearn/tests/test_metaestimators.py::test_meta_estimators_delegate_data_validation[HalvingRandomSearchCV2]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:317: UserWarning: The total space of parameters 2 is smaller than n_iter=3. Running 2 iterations. For exhaustive searches, use GridSearchCV.
    warnings.warn(

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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:317: 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_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[HalvingRandomSearchCV]
sklearn/tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[HalvingRandomSearchCV]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:317: UserWarning: The total space of parameters 2 is smaller than n_iter=4. Running 2 iterations. For exhaustive searches, use GridSearchCV.
    warnings.warn(

sklearn/tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[GraphicalLassoCV]
sklearn/tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[GraphicalLassoCV]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py:960: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py", line 949, in _score
      scores = scorer(estimator, X_test, y_test, **score_params)
    File "/builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_scorer.py", line 288, in __call__
      return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)
             ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    File "/builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_scorer.py", line 379, in _score
      response_method = _check_response_method(estimator, self._response_method)
    File "/builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/validation.py", line 2283, in _check_response_method
      raise AttributeError(
      ...<2 lines>...
      )
  AttributeError: GraphicalLassoCV has none of the following attributes: predict.
  
    warnings.warn(

sklearn/tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[SequentialFeatureSelector]
sklearn/tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[SequentialFeatureSelector]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py:960: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py", line 949, in _score
      scores = scorer(estimator, X_test, y_test, **score_params)
    File "/builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_scorer.py", line 288, in __call__
      return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)
             ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    File "/builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_scorer.py", line 379, in _score
      response_method = _check_response_method(estimator, self._response_method)
    File "/builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/validation.py", line 2283, in _check_response_method
      raise AttributeError(
      ...<2 lines>...
      )
  AttributeError: SequentialFeatureSelector has none of the following attributes: predict.
  
    warnings.warn(

sklearn/tests/test_multiclass.py::test_constant_int_target[ones]
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/multiclass.py:90: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/multiclass.py:90: UserWarning: Label not 0 is present in all training examples.
    warnings.warn(

sklearn/tests/test_naive_bayes.py::test_alpha_vector
sklearn/tests/test_naive_bayes.py::test_alpha_vector
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/naive_bayes.py:623: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/tree/_classes.py:1093: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/_array_api.py:839: 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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/tree/tests/test_tree.py:1795: RuntimeWarning: overflow encountered in cast
    data = np.nan_to_num(data.astype("float32"))

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:86: RuntimeWarning: invalid value encountered in reduce
    return ufunc.reduce(obj, axis, dtype, out, **passkwargs)

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator
sklearn/utils/tests/test_estimator_checks.py::test_check_estimator
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:872: SkipTestWarning: Skipping check check_sample_weights_pandas_series for LogisticRegression because it raised SkipTest: pandas is not installed: not testing for input of type pandas.Series to class weight.
    warnings.warn(

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator
sklearn/utils/tests/test_estimator_checks.py::test_check_estimator
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:872: SkipTestWarning: Skipping check check_classifier_data_not_an_array for LogisticRegression because it raised SkipTest: pandas is not installed: not checking estimators for pandas objects.
    warnings.warn(

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:872: SkipTestWarning: Skipping check check_regressor_data_not_an_array for MultiTaskElasticNet because it raised SkipTest: pandas is not installed: not checking estimators for pandas objects.
    warnings.warn(

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:872: SkipTestWarning: Skipping check check_classifier_data_not_an_array for TaggedBinaryClassifier because it raised SkipTest: pandas is not installed: not checking estimators for pandas objects.
    warnings.warn(

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:872: SkipTestWarning: Skipping check check_regressor_data_not_an_array for RequiresPositiveXRegressor because it raised SkipTest: pandas is not installed: not checking estimators for pandas objects.
    warnings.warn(

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator
sklearn/utils/tests/test_estimator_checks.py::test_check_estimator
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/validation.py:1014: UserWarning: Can't check dok sparse matrix for nan or inf.
    array = _ensure_sparse_format(

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:872: SkipTestWarning: Skipping check check_regressor_data_not_an_array for RequiresPositiveYRegressor because it raised SkipTest: pandas is not installed: not checking estimators for pandas objects.
    warnings.warn(

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:872: SkipTestWarning: Skipping check check_sample_weights_pandas_series for PoorScoreLogisticRegression because it raised SkipTest: pandas is not installed: not testing for input of type pandas.Series to class weight.
    warnings.warn(

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:872: SkipTestWarning: Skipping check check_classifier_data_not_an_array for PoorScoreLogisticRegression because it raised SkipTest: pandas is not installed: not checking estimators for pandas objects.
    warnings.warn(

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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:872: SkipTestWarning: Skipping check check_sample_weights_pandas_series for LinearRegression because it raised SkipTest: pandas is not installed: not testing for input of type pandas.Series to class weight.
    warnings.warn(

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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:872: SkipTestWarning: Skipping check check_regressor_data_not_an_array for LinearRegression because it raised SkipTest: pandas is not installed: not checking estimators for pandas objects.
    warnings.warn(

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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:872: SkipTestWarning: Skipping check check_sample_weights_pandas_series for SGDClassifier because it raised SkipTest: pandas is not installed: not testing for input of type pandas.Series to class weight.
    warnings.warn(

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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:872: SkipTestWarning: Skipping check check_classifier_data_not_an_array for SGDClassifier because it raised SkipTest: pandas is not installed: not checking estimators for pandas objects.
    warnings.warn(

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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:872: SkipTestWarning: Skipping check check_array_api_input for PCA because it raised SkipTest: array_api_compat is not installed: not checking array_api input
    warnings.warn(

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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:872: SkipTestWarning: Skipping check check_array_api_input for PCA because it raised SkipTest: array_api_strict is not installed: not checking array_api input
    warnings.warn(

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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:872: SkipTestWarning: Skipping check check_array_api_input for PCA because it raised SkipTest: cupy is not installed: not checking array_api input
    warnings.warn(

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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:872: SkipTestWarning: Skipping check check_array_api_input for PCA because it raised SkipTest: torch is not installed: not checking array_api input
    warnings.warn(

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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:872: SkipTestWarning: Skipping check check_sample_weights_pandas_series for MiniBatchKMeans because it raised SkipTest: pandas is not installed: not testing for input of type pandas.Series to class weight.
    warnings.warn(

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_pairwise
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:872: SkipTestWarning: Skipping check check_sample_weights_pandas_series for SVC because it raised SkipTest: pandas is not installed: not testing for input of type pandas.Series to class weight.
    warnings.warn(

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_pairwise
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:872: SkipTestWarning: Skipping check check_classifier_data_not_an_array for SVC because it raised SkipTest: pandas is not installed: not checking estimators for pandas objects.
    warnings.warn(

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_pairwise
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:872: SkipTestWarning: Skipping check check_regressor_data_not_an_array for KNeighborsRegressor because it raised SkipTest: pandas is not installed: not checking estimators for pandas objects.
    warnings.warn(

sklearn/utils/tests/test_estimator_checks.py::test_non_deterministic_estimator_skip_tests
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:128: UserWarning: Estimator MinimalTransformer does not inherit from `sklearn.base.BaseEstimator`. This might lead to unexpected behavior, or even errors when collecting tests.
    warnings.warn(

sklearn/utils/tests/test_estimator_checks.py::test_non_deterministic_estimator_skip_tests
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:128: UserWarning: Estimator MyEstimator does not inherit from `sklearn.base.BaseEstimator`. This might lead to unexpected behavior, or even errors when collecting tests.
    warnings.warn(

sklearn/utils/tests/test_estimator_checks.py::test_non_deterministic_estimator_skip_tests
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:128: UserWarning: Estimator MinimalRegressor does not inherit from `sklearn.base.BaseEstimator`. This might lead to unexpected behavior, or even errors when collecting tests.
    warnings.warn(

sklearn/utils/tests/test_estimator_checks.py::test_non_deterministic_estimator_skip_tests
sklearn/utils/tests/test_estimator_checks.py::test_yield_all_checks_legacy
  /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:128: UserWarning: Estimator MinimalClassifier does not inherit from `sklearn.base.BaseEstimator`. This might lead to unexpected behavior, or even errors when collecting tests.
    warnings.warn(

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-1.6.1-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/optimize.py:312: UserWarning: Line Search failed
    warnings.warn("Line Search failed")

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
= 32033 passed, 5541 skipped, 32 deselected, 151 xfailed, 75 xpassed, 3443 warnings in 687.98s (0:11:27) =
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 = -0.37499999475400753     

CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL            
 This problem is unconstrained.
 This problem is unconstrained.
~/build/BUILD/python-scikit-learn-1.6.1-build/scikit_learn-1.6.1
+ popd
+ RPM_EC=0
++ jobs -p
+ exit 0
Processing files: python3-scikit-learn-1.6.1-3.fc43.x86_64
Executing(%doc): /bin/sh -e /var/tmp/rpm-tmp.EOlAHQ
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.6.1-build
+ cd scikit_learn-1.6.1
+ DOCDIR=/builddir/build/BUILD/python-scikit-learn-1.6.1-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-1.6.1-build/BUILDROOT/usr/share/doc/python3-scikit-learn
+ cp -pr /builddir/build/BUILD/python-scikit-learn-1.6.1-build/scikit_learn-1.6.1/examples /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/share/doc/python3-scikit-learn
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%license): /bin/sh -e /var/tmp/rpm-tmp.O2ISB4
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.6.1-build
+ cd scikit_learn-1.6.1
+ LICENSEDIR=/builddir/build/BUILD/python-scikit-learn-1.6.1-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-1.6.1-build/BUILDROOT/usr/share/licenses/python3-scikit-learn
+ cp -pr /builddir/build/BUILD/python-scikit-learn-1.6.1-build/scikit_learn-1.6.1/COPYING /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/share/licenses/python3-scikit-learn
+ cp -pr /builddir/build/BUILD/python-scikit-learn-1.6.1-build/scikit_learn-1.6.1/sklearn/svm/src/liblinear/COPYRIGHT /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT/usr/share/licenses/python3-scikit-learn
+ RPM_EC=0
++ jobs -p
+ exit 0
Provides: python-scikit-learn = 1.6.1-3.fc43 python-sklearn = 1.6.1-3.fc43 python3-scikit-learn = 1.6.1-3.fc43 python3-scikit-learn(x86-64) = 1.6.1-3.fc43 python3.13-scikit-learn = 1.6.1-3.fc43 python3.13-sklearn = 1.6.1-3.fc43 python3.13dist(scikit-learn) = 1.6.1 python3dist(scikit-learn) = 1.6.1
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: libc.so.6()(64bit) libc.so.6(GLIBC_2.14)(64bit) libc.so.6(GLIBC_2.2.5)(64bit) libc.so.6(GLIBC_2.3.4)(64bit) libc.so.6(GLIBC_2.32)(64bit) libc.so.6(GLIBC_2.4)(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_2.2.5)(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_3.4.30)(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 < 1.6.1-3.fc43 python3-scikit_learn < 1.5.2-2
Processing files: python-scikit-learn-debugsource-1.6.1-3.fc43.x86_64
Provides: python-scikit-learn-debugsource = 1.6.1-3.fc43 python-scikit-learn-debugsource(x86-64) = 1.6.1-3.fc43
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-1.6.1-3.fc43.x86_64
Provides: debuginfo(build-id) = 037570880309686f2b8732c82fab960dd6640fa2 debuginfo(build-id) = 04ce314e6e98bfa968ad6e07042e3be11a099055 debuginfo(build-id) = 051e9dac88e536683e833159524613eef217bee3 debuginfo(build-id) = 0c079fd205692d383ec98011c4e924a0c98c7d1a debuginfo(build-id) = 0e0d0d44ef1701d10d43f75aafb40527f42d420b debuginfo(build-id) = 1aea566da9327cc4df252925f0015cd6e2d1f613 debuginfo(build-id) = 217dbb0ee88ad0086e5df68f4ab44a39a06a5923 debuginfo(build-id) = 230078189a2acb0fce72aee32292ab3584c8ea2c debuginfo(build-id) = 23e342ab2c9619f35e54d893d540b68450671c55 debuginfo(build-id) = 23f5db312e6b2617061a52d9b984cd5159e04aa9 debuginfo(build-id) = 241a1eea13ddc1d4e1f565008dc7278b502a4ebc debuginfo(build-id) = 2aaeeab13957a5b16cd537522d0dc563a5796830 debuginfo(build-id) = 2c0e723cbbfaaa4579566a5c275f24fe1eaf8be5 debuginfo(build-id) = 3287583862eaae4e67b35cc1889ae952c51716f6 debuginfo(build-id) = 35102e6e4e186f0c7e484ecb9bed1dd72864bed4 debuginfo(build-id) = 351698cafd7668ede35eb0eb330aae79f56f37ee debuginfo(build-id) = 386f16c8a773879831dfa0e8fb626c3f8e331e18 debuginfo(build-id) = 3a86e56bea29ed42c7e21e75a4613794195b5846 debuginfo(build-id) = 3cf51f43ef4df718a70f95db8c738ab34b3526de debuginfo(build-id) = 3d916f36bc88d652f55da53ad983fb55ba0306fd debuginfo(build-id) = 3dedf0f008b1dbb8b1e974ac2de5f5396eb48762 debuginfo(build-id) = 433e95ade2188aa1a23d7989ae8f381dd7e801c1 debuginfo(build-id) = 49e9dbf5fb5636990c62418ae1ce0f38f16dd6ed debuginfo(build-id) = 4a3bf7b8af4de633854beca27de0fd58146cd722 debuginfo(build-id) = 503d3fb0ccd004ebc32a39c223209d9fa0ddaa71 debuginfo(build-id) = 526f01e69dfb6278a050cc968a8c0e46f0024169 debuginfo(build-id) = 57a8721b6a138c064954ccb304e6b70950e0b55f debuginfo(build-id) = 5d5c73b1713f068480a0e0241be5da825d03d0ef debuginfo(build-id) = 60976903fd91597c3e41a69028b998212aa397f8 debuginfo(build-id) = 60b0187f8684264c9bd54ed37da7120654fd74f7 debuginfo(build-id) = 64a3a93c30c508e502f3dec95585c9f12eff51ba debuginfo(build-id) = 664e77b846f844bdeadfd140628ca09a3e5f6241 debuginfo(build-id) = 6b5ef3a6d23d04164fbabba74e284b0b8da5863a debuginfo(build-id) = 7d13bd0bfb8869777ab7f0c87a84791ae090fa4e debuginfo(build-id) = 7feecdaf83b34e0ba343e6bc8f427bfc68e413bc debuginfo(build-id) = 7ff29012bdcbe2d461f4da5ac5c12c621d077835 debuginfo(build-id) = 80cc8348bbc187fc0040cf93fb0baf9da4870deb debuginfo(build-id) = 81adb28ec0110b112068834568da83392c9fe835 debuginfo(build-id) = 829f1fb9a9ef3d0363901a597e267298de10a1a3 debuginfo(build-id) = 8820044d3bbbe16099b3e718ead9ee94052b8bd8 debuginfo(build-id) = 89676973593532afe0b395ba4e6d2b2081797954 debuginfo(build-id) = 96f6bdc55e7f33ee2d353039e83949007d496846 debuginfo(build-id) = 9bfe3852625ed291e996f9044d391e75c2f4a579 debuginfo(build-id) = 9effe8769c92a4f5c6e4e133f66eba5cdd085645 debuginfo(build-id) = a0e53570f6d3ace83a75e2a6ef690698374e7c6d debuginfo(build-id) = a435a0584eee7e3ce4e240658b465409c38648cc debuginfo(build-id) = a46abe2ac737147179aac892cfc82cc9334a9768 debuginfo(build-id) = aa20a95cc841015852052af2dacdaa9a4c2bc883 debuginfo(build-id) = aaf675806eb9b3488721c07fe3e5a785150ea914 debuginfo(build-id) = abb4ca580918b9341fb3d8ad6ac8826facaddfb2 debuginfo(build-id) = ac5a93cf2c9adca7979087a7f5f7ae213b396eb6 debuginfo(build-id) = b568469013ce8b0407eff6a4d32ab6ee89d1bf05 debuginfo(build-id) = bf6f21e7ecfd00f02cdaa1c73b4a9b6ca3594b4d debuginfo(build-id) = c3c6dea84041451552f471c5f3584eb3c0112afc debuginfo(build-id) = ccadfef71d3b696b64cf67d189f4a39b81d73bec debuginfo(build-id) = ccb2cb80d13e123b7874b5e2ed800547e869dca9 debuginfo(build-id) = d2eb68e3abcb84432269b72ed5b67a7c2f0968e0 debuginfo(build-id) = d70bcaffd03c1b572285a8e722dfa78762dd977d debuginfo(build-id) = d732465bbaecc4c7c291a2bca34469024772c292 debuginfo(build-id) = dad2d18484d11d7f4fc41c7cbe3856cc16410e15 debuginfo(build-id) = dbf4fe989d596448bdcd2015a1ea34e25601373b debuginfo(build-id) = e210abce54ab818534799527de32290bb3cd95d3 debuginfo(build-id) = e55c095a855d8c31dbda5c0e5ba45a78e734a82c debuginfo(build-id) = e802f32e082f7f458d8b51aca560d12842647a99 debuginfo(build-id) = f2de241debd859fda7c35b12b8049d1dc183ded1 debuginfo(build-id) = f7845a5706efd04ac3fb0b53c64036e26394b712 debuginfo(build-id) = fb307a9297d585e4f218c9ea38a5c21e9c292c85 debuginfo(build-id) = fba55d9a6742ba4722ef2f8a537e8bba6a5566aa python-scikit-learn-debuginfo = 1.6.1-3.fc43 python3-scikit-learn-debuginfo = 1.6.1-3.fc43 python3-scikit-learn-debuginfo(x86-64) = 1.6.1-3.fc43 python3.13-scikit-learn-debuginfo = 1.6.1-3.fc43
Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1
Recommends: python-scikit-learn-debugsource(x86-64) = 1.6.1-3.fc43
Checking for unpackaged file(s): /usr/lib/rpm/check-files /builddir/build/BUILD/python-scikit-learn-1.6.1-build/BUILDROOT
Wrote: /builddir/build/SRPMS/python-scikit-learn-1.6.1-3.fc43.src.rpm
Wrote: /builddir/build/RPMS/python3-scikit-learn-1.6.1-3.fc43.x86_64.rpm
Wrote: /builddir/build/RPMS/python-scikit-learn-debugsource-1.6.1-3.fc43.x86_64.rpm
Wrote: /builddir/build/RPMS/python3-scikit-learn-debuginfo-1.6.1-3.fc43.x86_64.rpm
Executing(rmbuild): /bin/sh -e /var/tmp/rpm-tmp.X4EaK2
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.6.1-build
+ test -d /builddir/build/BUILD/python-scikit-learn-1.6.1-build
+ /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w /builddir/build/BUILD/python-scikit-learn-1.6.1-build
+ rm -rf /builddir/build/BUILD/python-scikit-learn-1.6.1-build
+ RPM_EC=0
++ jobs -p
+ exit 0
Finish: rpmbuild python-scikit-learn-1.6.1-3.fc43.src.rpm
Finish: build phase for python-scikit-learn-1.6.1-3.fc43.src.rpm
INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan
INFO: /var/lib/mock/fedora-rawhide-x86_64-1742675702.538584/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-1.6.1-3.fc43.src.rpm) Config(child) 26 minutes 10 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": "python-scikit-learn-debugsource",
            "epoch": null,
            "version": "1.6.1",
            "release": "3.fc43",
            "arch": "x86_64"
        },
        {
            "name": "python3-scikit-learn",
            "epoch": null,
            "version": "1.6.1",
            "release": "3.fc43",
            "arch": "x86_64"
        },
        {
            "name": "python3-scikit-learn-debuginfo",
            "epoch": null,
            "version": "1.6.1",
            "release": "3.fc43",
            "arch": "x86_64"
        },
        {
            "name": "python-scikit-learn",
            "epoch": null,
            "version": "1.6.1",
            "release": "3.fc43",
            "arch": "src"
        }
    ]
}
RPMResults finished