Warning: Permanently added '98.82.131.91' (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/8277876-fedora-rawhide-x86_64 --chroot fedora-rawhide-x86_64


Version: 1.1
PID: 7369
Logging PID: 7370
Task:
{'allow_user_ssh': False,
 'appstream': False,
 'background': True,
 'build_id': 8277876,
 'buildroot_pkgs': [],
 'chroot': 'fedora-rawhide-x86_64',
 'enable_net': False,
 'fedora_review': False,
 'git_hash': '388ebca36cfca20aa995eaa966082fcc7e1033e5',
 'git_repo': 'https://copr-dist-git.fedorainfracloud.org/git/thrnciar/python-pip-24.3.1:pr:3/python-scikit-learn',
 'isolation': 'default',
 'memory_reqs': 2048,
 'package_name': 'python-scikit-learn',
 'package_version': '1.5.2-4',
 'project_dirname': 'python-pip-24.3.1:pr:3',
 'project_name': 'python-pip-24.3.1',
 'project_owner': 'thrnciar',
 'repo_priority': None,
 'repos': [{'baseurl': 'https://download.copr.fedorainfracloud.org/results/thrnciar/python-pip-24.3.1/fedora-rawhide-x86_64/',
            'id': 'copr_base',
            'name': 'Copr repository',
            'priority': None},
           {'baseurl': 'http://kojipkgs.fedoraproject.org/repos/rawhide/latest/$basearch/',
            'id': 'http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch',
            'name': 'Additional repo http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch'}],
 'sandbox': 'thrnciar/python-pip-24.3.1--https://src.fedoraproject.org/user/churchyard',
 'source_json': {},
 'source_type': None,
 'ssh_public_keys': None,
 'storage': 0,
 'submitter': 'https://src.fedoraproject.org/user/churchyard',
 'tags': [],
 'task_id': '8277876-fedora-rawhide-x86_64',
 'timeout': 18000,
 'uses_devel_repo': False,
 'with_opts': [],
 'without_opts': []}

Running: git clone https://copr-dist-git.fedorainfracloud.org/git/thrnciar/python-pip-24.3.1:pr:3/python-scikit-learn /var/lib/copr-rpmbuild/workspace/workdir-6tzp7svr/python-scikit-learn --depth 500 --no-single-branch --recursive

cmd: ['git', 'clone', 'https://copr-dist-git.fedorainfracloud.org/git/thrnciar/python-pip-24.3.1:pr:3/python-scikit-learn', '/var/lib/copr-rpmbuild/workspace/workdir-6tzp7svr/python-scikit-learn', '--depth', '500', '--no-single-branch', '--recursive']
cwd: .
rc: 0
stdout: 
stderr: Cloning into '/var/lib/copr-rpmbuild/workspace/workdir-6tzp7svr/python-scikit-learn'...

Running: git checkout 388ebca36cfca20aa995eaa966082fcc7e1033e5 --

cmd: ['git', 'checkout', '388ebca36cfca20aa995eaa966082fcc7e1033e5', '--']
cwd: /var/lib/copr-rpmbuild/workspace/workdir-6tzp7svr/python-scikit-learn
rc: 0
stdout: 
stderr: Note: switching to '388ebca36cfca20aa995eaa966082fcc7e1033e5'.

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 388ebca automatic import of python-scikit-learn

Running: dist-git-client sources

cmd: ['dist-git-client', 'sources']
cwd: /var/lib/copr-rpmbuild/workspace/workdir-6tzp7svr/python-scikit-learn
rc: 0
stdout: 
stderr: INFO: Reading stdout from command: git rev-parse --abbrev-ref HEAD
INFO: Reading stdout from command: git rev-parse HEAD
INFO: Reading sources specification file: sources
INFO: Downloading scikit_learn-1.5.2.tar.gz
INFO: Reading stdout from command: curl --help all
INFO: Calling: curl -H Pragma: -o scikit_learn-1.5.2.tar.gz --location --connect-timeout 60 --retry 3 --retry-delay 10 --remote-time --show-error --fail --retry-all-errors https://copr-dist-git.fedorainfracloud.org/repo/pkgs/thrnciar/python-pip-24.3.1:pr:3/python-scikit-learn/scikit_learn-1.5.2.tar.gz/md5/e2df2bb829d461207fe8780f3e9a9cde/scikit_learn-1.5.2.tar.gz
  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed
100 6837k  100 6837k    0     0   185M      0 --:--:-- --:--:-- --:--:--  190M
INFO: Reading stdout from command: md5sum scikit_learn-1.5.2.tar.gz

/usr/bin/tail: /var/lib/copr-rpmbuild/main.log: file truncated
Running (timeout=18000): unbuffer mock --spec /var/lib/copr-rpmbuild/workspace/workdir-6tzp7svr/python-scikit-learn/python-scikit-learn.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-6tzp7svr/python-scikit-learn --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1731967467.082365 -r /var/lib/copr-rpmbuild/results/configs/child.cfg
INFO: mock.py version 5.9 starting (python version = 3.12.1, NVR = mock-5.9-1.fc39), args: /usr/libexec/mock/mock --spec /var/lib/copr-rpmbuild/workspace/workdir-6tzp7svr/python-scikit-learn/python-scikit-learn.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-6tzp7svr/python-scikit-learn --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1731967467.082365 -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-6tzp7svr/python-scikit-learn/python-scikit-learn.spec)  Config(fedora-rawhide-x86_64)
Start: clean chroot
Finish: clean chroot
Mock Version: 5.9
INFO: Mock Version: 5.9
Start(bootstrap): chroot init
INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-x86_64-bootstrap-1731967467.082365/root.
INFO: calling preinit hooks
INFO: enabled root cache
INFO: enabled package manager cache
Start(bootstrap): cleaning package manager metadata
Finish(bootstrap): cleaning package manager metadata
INFO: Guessed host environment type: unknown
INFO: Using bootstrap image: registry.fedoraproject.org/fedora:rawhide
INFO: Pulling image: registry.fedoraproject.org/fedora:rawhide
INFO: Copy content of container registry.fedoraproject.org/fedora:rawhide to /var/lib/mock/fedora-rawhide-x86_64-bootstrap-1731967467.082365/root
INFO: Checking that registry.fedoraproject.org/fedora:rawhide image matches host's architecture
INFO: mounting registry.fedoraproject.org/fedora:rawhide with podman image mount
INFO: image registry.fedoraproject.org/fedora:rawhide as /var/lib/containers/storage/overlay/09f425a93abecf28dc98a76fb83c534530393d7646eb006a709ed7c9cc004053/merged
INFO: umounting image registry.fedoraproject.org/fedora:rawhide (/var/lib/containers/storage/overlay/09f425a93abecf28dc98a76fb83c534530393d7646eb006a709ed7c9cc004053/merged) with podman image umount
INFO: Package manager dnf5 detected and used (fallback)
INFO: Not updating bootstrap chroot, bootstrap_image_ready=True
Start(bootstrap): creating root cache
Finish(bootstrap): creating root cache
Finish(bootstrap): chroot init
Start: chroot init
INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-x86_64-1731967467.082365/root.
INFO: calling preinit hooks
INFO: enabled root cache
INFO: enabled package manager cache
Start: cleaning package manager metadata
Finish: cleaning package manager metadata
INFO: enabled HW Info plugin
INFO: Package manager dnf5 detected and used (direct choice)
INFO: Buildroot is handled by package management downloaded with a bootstrap image:
  rpm-4.20.0-1.fc42.x86_64
  rpm-sequoia-1.7.0-2.fc41.x86_64
  dnf5-5.2.7.0-1.fc42.x86_64
  dnf5-plugins-5.2.7.0-1.fc42.x86_64
Start: installing minimal buildroot with dnf5
Updating and loading repositories:
 fedora                                 100% |   5.9 MiB/s |  21.8 MiB |  00m04s
 Copr repository                        100% |  45.2 MiB/s |   1.9 MiB |  00m00s
 Additional repo http_kojipkgs_fedorapr 100% |  60.8 MiB/s |  14.2 MiB |  00m00s
Repositories loaded.
Package                            Arch   Version                    Repository                                                         Size
Installing group/module packages:
 bash                              x86_64 5.2.37-1.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   8.2 MiB
 bzip2                             x86_64 1.0.8-19.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  95.7 KiB
 coreutils                         x86_64 9.5-11.fc42                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   5.4 MiB
 cpio                              x86_64 2.15-2.fc41                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.1 MiB
 diffutils                         x86_64 3.10-8.fc41                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.6 MiB
 fedora-release-common             noarch 42-0.8                     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  19.7 KiB
 findutils                         x86_64 1:4.10.0-4.fc41            http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.8 MiB
 gawk                              x86_64 5.3.0-4.fc41               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.7 MiB
 glibc-minimal-langpack            x86_64 2.40.9000-18.fc42          http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   0.0   B
 grep                              x86_64 3.11-9.fc41                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.0 MiB
 gzip                              x86_64 1.13-2.fc41                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 389.0 KiB
 info                              x86_64 7.1.1-2.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 361.8 KiB
 patch                             x86_64 2.7.6-25.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 266.7 KiB
 redhat-rpm-config                 noarch 296-1.fc42                 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 186.6 KiB
 rpm-build                         x86_64 4.20.0-1.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 194.3 KiB
 sed                               x86_64 4.9-3.fc41                 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 861.5 KiB
 shadow-utils                      x86_64 2:4.16.0-7.fc42            http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   4.0 MiB
 tar                               x86_64 2:1.35-4.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.9 MiB
 unzip                             x86_64 6.0-64.fc41                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 386.8 KiB
 util-linux                        x86_64 2.40.2-8.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   3.7 MiB
 which                             x86_64 2.21-42.fc41               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  80.2 KiB
 xz                                x86_64 1:5.6.3-2.fc42             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.2 MiB
Installing dependencies:
 add-determinism                   x86_64 0.4.3-1.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.4 MiB
 alternatives                      x86_64 1.30-1.fc41                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  66.3 KiB
 ansible-srpm-macros               noarch 1-16.fc41                  http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  35.7 KiB
 audit-libs                        x86_64 4.0.2-1.fc41               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 331.3 KiB
 authselect                        x86_64 1.5.0-8.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 157.5 KiB
 authselect-libs                   x86_64 1.5.0-8.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 822.2 KiB
 basesystem                        noarch 11-21.fc41                 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   0.0   B
 binutils                          x86_64 2.43.50-7.fc42             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  28.5 MiB
 build-reproducibility-srpm-macros noarch 0.4.3-1.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 735.0   B
 bzip2-libs                        x86_64 1.0.8-19.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  80.7 KiB
 ca-certificates                   noarch 2024.2.69_v8.0.401-2.fc42  http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.6 MiB
 coreutils-common                  x86_64 9.5-11.fc42                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  11.2 MiB
 cracklib                          x86_64 2.9.11-6.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 238.9 KiB
 crypto-policies                   noarch 20241106-1.git35892de.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 136.9 KiB
 curl                              x86_64 8.10.1-2.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 453.3 KiB
 cyrus-sasl-lib                    x86_64 2.1.28-27.fc41             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.3 MiB
 debugedit                         x86_64 5.1-1.fc42                 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 192.7 KiB
 dwz                               x86_64 0.15-8.fc42                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 299.2 KiB
 ed                                x86_64 1.20.2-2.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 146.9 KiB
 efi-srpm-macros                   noarch 5-12.fc41                  http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  40.1 KiB
 elfutils                          x86_64 0.192-6.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.6 MiB
 elfutils-debuginfod-client        x86_64 0.192-6.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  80.4 KiB
 elfutils-default-yama-scope       noarch 0.192-6.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.8 KiB
 elfutils-libelf                   x86_64 0.192-6.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.2 MiB
 elfutils-libs                     x86_64 0.192-6.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 672.8 KiB
 fedora-gpg-keys                   noarch 42-0.3                     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 126.4 KiB
 fedora-release                    noarch 42-0.8                     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   0.0   B
 fedora-release-identity-basic     noarch 42-0.8                     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 719.0   B
 fedora-repos                      noarch 42-0.3                     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   4.9 KiB
 fedora-repos-rawhide              noarch 42-0.3                     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.2 KiB
 file                              x86_64 5.45-7.fc41                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 103.5 KiB
 file-libs                         x86_64 5.45-7.fc41                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   9.9 MiB
 filesystem                        x86_64 3.18-29.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 106.0   B
 fonts-srpm-macros                 noarch 1:2.0.5-17.fc41            http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  55.8 KiB
 forge-srpm-macros                 noarch 0.4.0-1.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  38.9 KiB
 fpc-srpm-macros                   noarch 1.3-13.fc41                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 144.0   B
 gdb-minimal                       x86_64 15.2-3.fc42                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  13.0 MiB
 gdbm                              x86_64 1:1.23-7.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 460.9 KiB
 gdbm-libs                         x86_64 1:1.23-7.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 121.9 KiB
 ghc-srpm-macros                   noarch 1.9.2-1.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 779.0   B
 glibc                             x86_64 2.40.9000-18.fc42          http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   6.7 MiB
 glibc-common                      x86_64 2.40.9000-18.fc42          http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.1 MiB
 glibc-gconv-extra                 x86_64 2.40.9000-18.fc42          http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   8.0 MiB
 gmp                               x86_64 1:6.3.0-2.fc41             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 811.4 KiB
 gnat-srpm-macros                  noarch 6-6.fc41                   http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.0 KiB
 go-srpm-macros                    noarch 3.6.0-3.fc41               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  60.8 KiB
 groff-base                        x86_64 1.23.0-7.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   3.8 MiB
 jansson                           x86_64 2.14-1.fc42                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  93.1 KiB
 json-c                            x86_64 0.18-1.fc42                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  83.3 KiB
 kernel-srpm-macros                noarch 1.0-24.fc41                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.9 KiB
 keyutils-libs                     x86_64 1.6.3-4.fc41               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  54.4 KiB
 krb5-libs                         x86_64 1.21.3-3.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.3 MiB
 libacl                            x86_64 2.3.2-2.fc41               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  40.0 KiB
 libarchive                        x86_64 3.7.7-1.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 932.3 KiB
 libattr                           x86_64 2.5.2-4.fc41               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  28.5 KiB
 libblkid                          x86_64 2.40.2-8.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 262.5 KiB
 libbrotli                         x86_64 1.1.0-5.fc41               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 837.6 KiB
 libcap                            x86_64 2.71-1.fc42                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 210.8 KiB
 libcap-ng                         x86_64 0.8.5-3.fc41               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  69.2 KiB
 libcom_err                        x86_64 1.47.1-6.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  67.2 KiB
 libcurl                           x86_64 8.10.1-2.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 838.4 KiB
 libeconf                          x86_64 0.7.4-3.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  65.7 KiB
 libevent                          x86_64 2.1.12-14.fc41             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 895.7 KiB
 libfdisk                          x86_64 2.40.2-8.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 362.9 KiB
 libffi                            x86_64 3.4.6-3.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  86.4 KiB
 libgcc                            x86_64 14.2.1-6.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 270.6 KiB
 libgomp                           x86_64 14.2.1-6.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 519.8 KiB
 libidn2                           x86_64 2.3.7-2.fc41               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 329.1 KiB
 libmount                          x86_64 2.40.2-8.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 355.8 KiB
 libnghttp2                        x86_64 1.64.0-1.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 174.5 KiB
 libnsl2                           x86_64 2.0.1-2.fc41               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  57.9 KiB
 libpkgconf                        x86_64 2.3.0-1.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  78.2 KiB
 libpsl                            x86_64 0.21.5-4.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  80.5 KiB
 libpwquality                      x86_64 1.4.5-11.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 417.8 KiB
 libselinux                        x86_64 3.7-7.fc42                 copr_base                                                     178.8 KiB
 libsemanage                       x86_64 3.7-3.fc42                 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 298.0 KiB
 libsepol                          x86_64 3.7-3.fc42                 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 818.0 KiB
 libsmartcols                      x86_64 2.40.2-8.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 180.4 KiB
 libssh                            x86_64 0.11.1-1.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 569.6 KiB
 libssh-config                     noarch 0.11.1-1.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 277.0   B
 libstdc++                         x86_64 14.2.1-6.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.8 MiB
 libtasn1                          x86_64 4.19.0-9.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 175.7 KiB
 libtirpc                          x86_64 1.3.6-1.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 205.5 KiB
 libtool-ltdl                      x86_64 2.4.7-12.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  66.2 KiB
 libunistring                      x86_64 1.1-8.fc41                 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.7 MiB
 libuuid                           x86_64 2.40.2-8.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  41.4 KiB
 libverto                          x86_64 0.3.2-9.fc41               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  29.5 KiB
 libxcrypt                         x86_64 4.4.36-10.fc42             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 267.7 KiB
 libxml2                           x86_64 2.12.8-2.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.7 MiB
 libzstd                           x86_64 1.5.6-2.fc41               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 795.9 KiB
 lua-libs                          x86_64 5.4.7-1.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 285.0 KiB
 lua-srpm-macros                   noarch 1-14.fc41                  http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.3 KiB
 lz4-libs                          x86_64 1.10.0-1.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 145.5 KiB
 mpfr                              x86_64 4.2.1-5.fc41               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 832.1 KiB
 ncurses                           x86_64 6.5-2.20240629.fc41        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 627.3 KiB
 ncurses-base                      noarch 6.5-2.20240629.fc41        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 326.3 KiB
 ncurses-libs                      x86_64 6.5-2.20240629.fc41        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 975.2 KiB
 ocaml-srpm-macros                 noarch 10-3.fc41                  http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.9 KiB
 openblas-srpm-macros              noarch 2-18.fc41                  http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 112.0   B
 openldap                          x86_64 2.6.8-5.fc41               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 644.2 KiB
 openssl-libs                      x86_64 1:3.2.2-8.fc42             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   7.8 MiB
 p11-kit                           x86_64 0.25.5-4.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.2 MiB
 p11-kit-trust                     x86_64 0.25.5-4.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 403.8 KiB
 package-notes-srpm-macros         noarch 0.5-12.fc41                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.6 KiB
 pam                               x86_64 1.7.0-2.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.7 MiB
 pam-libs                          x86_64 1.7.0-2.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 127.7 KiB
 pcre2                             x86_64 10.44-1.fc41.1             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 653.5 KiB
 pcre2-syntax                      noarch 10.44-1.fc41.1             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 251.6 KiB
 perl-AutoLoader                   noarch 5.74-512.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  20.5 KiB
 perl-B                            x86_64 1.89-512.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 498.0 KiB
 perl-Carp                         noarch 1.54-511.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  46.6 KiB
 perl-Class-Struct                 noarch 0.68-512.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  25.4 KiB
 perl-Data-Dumper                  x86_64 2.189-512.fc41             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 111.7 KiB
 perl-Digest                       noarch 1.20-511.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  35.3 KiB
 perl-Digest-MD5                   x86_64 2.59-5.fc41                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  59.8 KiB
 perl-DynaLoader                   x86_64 1.56-512.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  32.1 KiB
 perl-Encode                       x86_64 4:3.21-511.fc41            http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   4.7 MiB
 perl-Errno                        x86_64 1.38-512.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   8.4 KiB
 perl-Exporter                     noarch 5.78-511.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  54.3 KiB
 perl-Fcntl                        x86_64 1.18-512.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  49.0 KiB
 perl-File-Basename                noarch 2.86-512.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  14.0 KiB
 perl-File-Path                    noarch 2.18-511.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  63.5 KiB
 perl-File-Temp                    noarch 1:0.231.100-511.fc41       http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 162.3 KiB
 perl-File-stat                    noarch 1.14-512.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  12.5 KiB
 perl-FileHandle                   noarch 2.05-512.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   9.3 KiB
 perl-Getopt-Long                  noarch 1:2.58-2.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 144.5 KiB
 perl-Getopt-Std                   noarch 1.14-512.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  11.2 KiB
 perl-HTTP-Tiny                    noarch 0.090-1.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 154.4 KiB
 perl-IO                           x86_64 1.55-512.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 151.1 KiB
 perl-IO-Socket-IP                 noarch 0.42-512.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  98.7 KiB
 perl-IO-Socket-SSL                noarch 2.089-1.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 703.3 KiB
 perl-IPC-Open3                    noarch 1.22-512.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  22.5 KiB
 perl-MIME-Base32                  noarch 1.303-21.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  30.7 KiB
 perl-MIME-Base64                  x86_64 3.16-511.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  46.1 KiB
 perl-Net-SSLeay                   x86_64 1.94-7.fc41                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.3 MiB
 perl-POSIX                        x86_64 2.20-512.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 235.1 KiB
 perl-PathTools                    x86_64 3.91-511.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 180.0 KiB
 perl-Pod-Escapes                  noarch 1:1.07-511.fc41            http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  24.9 KiB
 perl-Pod-Perldoc                  noarch 3.28.01-512.fc41           http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 163.7 KiB
 perl-Pod-Simple                   noarch 1:3.45-511.fc41            http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 560.9 KiB
 perl-Pod-Usage                    noarch 4:2.03-511.fc41            http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  84.8 KiB
 perl-Scalar-List-Utils            x86_64 5:1.68-1.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 148.9 KiB
 perl-SelectSaver                  noarch 1.02-512.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.2 KiB
 perl-Socket                       x86_64 4:2.038-511.fc41           http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 124.0 KiB
 perl-Storable                     x86_64 1:3.32-511.fc41            http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 232.4 KiB
 perl-Symbol                       noarch 1.09-512.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   6.8 KiB
 perl-Term-ANSIColor               noarch 5.01-512.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  97.5 KiB
 perl-Term-Cap                     noarch 1.18-511.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  29.3 KiB
 perl-Text-ParseWords              noarch 3.31-511.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  13.6 KiB
 perl-Text-Tabs+Wrap               noarch 2024.001-511.fc41          http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  22.6 KiB
 perl-Time-Local                   noarch 2:1.350-511.fc41           http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  69.0 KiB
 perl-URI                          noarch 5.31-1.fc42                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 257.0 KiB
 perl-base                         noarch 2.27-512.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  12.5 KiB
 perl-constant                     noarch 1.33-512.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  26.2 KiB
 perl-if                           noarch 0.61.000-512.fc42          http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   5.8 KiB
 perl-interpreter                  x86_64 4:5.40.0-512.fc42          http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 122.3 KiB
 perl-libnet                       noarch 3.15-512.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 289.4 KiB
 perl-libs                         x86_64 4:5.40.0-512.fc42          http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   9.9 MiB
 perl-locale                       noarch 1.12-512.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   6.5 KiB
 perl-mro                          x86_64 1.29-512.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  45.6 KiB
 perl-overload                     noarch 1.37-512.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  71.5 KiB
 perl-overloading                  noarch 0.02-512.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   4.8 KiB
 perl-parent                       noarch 1:0.242-1.fc42             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  10.0 KiB
 perl-podlators                    noarch 1:6.0.2-2.fc41             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 317.5 KiB
 perl-srpm-macros                  noarch 1-56.fc41                  http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 861.0   B
 perl-vars                         noarch 1.05-512.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   3.9 KiB
 pkgconf                           x86_64 2.3.0-1.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  88.6 KiB
 pkgconf-m4                        noarch 2.3.0-1.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  14.4 KiB
 pkgconf-pkg-config                x86_64 2.3.0-1.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 989.0   B
 popt                              x86_64 1.19-7.fc41                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 136.9 KiB
 publicsuffix-list-dafsa           noarch 20240107-4.fc41            http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  67.5 KiB
 pyproject-srpm-macros             noarch 1.16.2-1.fc42              copr_base                                                       1.9 KiB
 python-srpm-macros                noarch 3.13-3.fc41                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  51.0 KiB
 qt5-srpm-macros                   noarch 5.15.15-1.fc42             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 500.0   B
 qt6-srpm-macros                   noarch 6.8.0-1.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 456.0   B
 readline                          x86_64 8.2-11.fc42                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 493.1 KiB
 rpm                               x86_64 4.20.0-1.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   3.1 MiB
 rpm-build-libs                    x86_64 4.20.0-1.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 206.7 KiB
 rpm-libs                          x86_64 4.20.0-1.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 726.1 KiB
 rpm-sequoia                       x86_64 1.7.0-2.fc41               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.4 MiB
 rust-srpm-macros                  noarch 26.3-3.fc42                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   4.8 KiB
 setup                             noarch 2.15.0-5.fc41              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 720.7 KiB
 sqlite-libs                       x86_64 3.47.0-1.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.5 MiB
 systemd-libs                      x86_64 257~rc1-2.fc42             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.3 MiB
 util-linux-core                   x86_64 2.40.2-8.fc42              http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.5 MiB
 xxhash-libs                       x86_64 0.8.2-4.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  88.4 KiB
 xz-libs                           x86_64 1:5.6.3-2.fc42             http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 218.4 KiB
 zig-srpm-macros                   noarch 1-3.fc41                   http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.1 KiB
 zip                               x86_64 3.0-41.fc41                http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 703.2 KiB
 zlib-ng-compat                    x86_64 2.2.2-1.fc42               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 134.0 KiB
 zstd                              x86_64 1.5.6-2.fc41               http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.7 MiB
Installing groups:
 Buildsystem building group                                                                                                                 

Transaction Summary:
 Installing:       213 packages

Total size of inbound packages is 61 MiB. Need to download 61 MiB.
After this operation, 207 MiB extra will be used (install 207 MiB, remove 0 B).
[  1/213] bzip2-0:1.0.8-19.fc41.x86_64  100% |   2.6 MiB/s |  52.5 KiB |  00m00s
[  2/213] cpio-0:2.15-2.fc41.x86_64     100% |  17.4 MiB/s | 285.2 KiB |  00m00s
[  3/213] coreutils-0:9.5-11.fc42.x86_6 100% |  20.0 MiB/s |   1.1 MiB |  00m00s
[  4/213] diffutils-0:3.10-8.fc41.x86_6 100% |  22.8 MiB/s | 397.2 KiB |  00m00s
[  5/213] fedora-release-common-0:42-0. 100% |   4.6 MiB/s |  23.5 KiB |  00m00s
[  6/213] findutils-1:4.10.0-4.fc41.x86 100% |  32.9 MiB/s | 539.8 KiB |  00m00s
[  7/213] bash-0:5.2.37-1.fc42.x86_64   100% |  23.2 MiB/s |   1.8 MiB |  00m00s
[  8/213] glibc-minimal-langpack-0:2.40 100% |  13.0 MiB/s | 119.6 KiB |  00m00s
[  9/213] gawk-0:5.3.0-4.fc41.x86_64    100% |  42.4 MiB/s |   1.1 MiB |  00m00s
[ 10/213] grep-0:3.11-9.fc41.x86_64     100% |  31.4 MiB/s | 289.7 KiB |  00m00s
[ 11/213] gzip-0:1.13-2.fc41.x86_64     100% |  26.7 MiB/s | 164.1 KiB |  00m00s
[ 12/213] redhat-rpm-config-0:296-1.fc4 100% |  18.5 MiB/s |  75.7 KiB |  00m00s
[ 13/213] patch-0:2.7.6-25.fc41.x86_64  100% |  21.3 MiB/s | 131.0 KiB |  00m00s
[ 14/213] info-0:7.1.1-2.fc42.x86_64    100% |  25.6 MiB/s | 183.2 KiB |  00m00s
[ 15/213] rpm-build-0:4.20.0-1.fc42.x86 100% |   8.2 MiB/s |  75.2 KiB |  00m00s
[ 16/213] sed-0:4.9-3.fc41.x86_64       100% |  27.5 MiB/s | 309.3 KiB |  00m00s
[ 17/213] shadow-utils-2:4.16.0-7.fc42. 100% |  59.9 MiB/s |   1.3 MiB |  00m00s
[ 18/213] unzip-0:6.0-64.fc41.x86_64    100% |  18.1 MiB/s | 184.9 KiB |  00m00s
[ 19/213] tar-2:1.35-4.fc41.x86_64      100% |  55.5 MiB/s | 852.1 KiB |  00m00s
[ 20/213] which-0:2.21-42.fc41.x86_64   100% |  10.1 MiB/s |  41.6 KiB |  00m00s
[ 21/213] xz-1:5.6.3-2.fc42.x86_64      100% |  45.1 MiB/s | 461.7 KiB |  00m00s
[ 22/213] util-linux-0:2.40.2-8.fc42.x8 100% |  74.5 MiB/s |   1.1 MiB |  00m00s
[ 23/213] xz-libs-1:5.6.3-2.fc42.x86_64 100% |  27.3 MiB/s | 111.9 KiB |  00m00s
[ 24/213] audit-libs-0:4.0.2-1.fc41.x86 100% |  30.8 MiB/s | 126.2 KiB |  00m00s
[ 25/213] authselect-libs-0:1.5.0-8.fc4 100% |  33.3 MiB/s | 204.7 KiB |  00m00s
[ 26/213] libblkid-0:2.40.2-8.fc42.x86_ 100% |  24.4 MiB/s | 125.0 KiB |  00m00s
[ 27/213] glibc-0:2.40.9000-18.fc42.x86 100% |  89.1 MiB/s |   2.2 MiB |  00m00s
[ 28/213] libcap-ng-0:0.8.5-3.fc41.x86_ 100% |   6.4 MiB/s |  32.6 KiB |  00m00s
[ 29/213] libfdisk-0:2.40.2-8.fc42.x86_ 100% |  19.5 MiB/s | 159.6 KiB |  00m00s
[ 30/213] libmount-0:2.40.2-8.fc42.x86_ 100% |  30.5 MiB/s | 156.1 KiB |  00m00s
[ 31/213] libuuid-0:2.40.2-8.fc42.x86_6 100% |   4.7 MiB/s |  29.0 KiB |  00m00s
[ 32/213] libsmartcols-0:2.40.2-8.fc42. 100% |  11.7 MiB/s |  83.9 KiB |  00m00s
[ 33/213] libselinux-0:3.7-7.fc42.x86_6 100% |   6.7 MiB/s |  89.1 KiB |  00m00s
[ 34/213] ncurses-libs-0:6.5-2.20240629 100% |  46.6 MiB/s | 334.0 KiB |  00m00s
[ 35/213] pam-libs-0:1.7.0-2.fc42.x86_6 100% |  11.3 MiB/s |  57.9 KiB |  00m00s
[ 36/213] pam-0:1.7.0-2.fc42.x86_64     100% |  63.9 MiB/s | 523.5 KiB |  00m00s
[ 37/213] readline-0:8.2-11.fc42.x86_64 100% |  26.1 MiB/s | 213.4 KiB |  00m00s
[ 38/213] systemd-libs-0:257~rc1-2.fc42 100% |  79.2 MiB/s | 811.4 KiB |  00m00s
[ 39/213] util-linux-core-0:2.40.2-8.fc 100% |  50.9 MiB/s | 521.5 KiB |  00m00s
[ 40/213] zlib-ng-compat-0:2.2.2-1.fc42 100% |  18.8 MiB/s |  76.9 KiB |  00m00s
[ 41/213] bzip2-libs-0:1.0.8-19.fc41.x8 100% |   6.7 MiB/s |  41.1 KiB |  00m00s
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[207/213] openldap-0:2.6.8-5.fc41.x86_6 100% |  27.7 MiB/s | 255.6 KiB |  00m00s
[208/213] libevent-0:2.1.12-14.fc41.x86 100% |  31.4 MiB/s | 257.5 KiB |  00m00s
[209/213] cyrus-sasl-lib-0:2.1.28-27.fc 100% |  77.6 MiB/s | 794.9 KiB |  00m00s
[210/213] libtool-ltdl-0:2.4.7-12.fc41. 100% |   7.0 MiB/s |  35.6 KiB |  00m00s
[211/213] libssh-config-0:0.11.1-1.fc42 100% |   1.8 MiB/s |   9.4 KiB |  00m00s
[212/213] libunistring-0:1.1-8.fc41.x86 100% |  66.5 MiB/s | 544.8 KiB |  00m00s
[213/213] publicsuffix-list-dafsa-0:202 100% |  14.2 MiB/s |  58.3 KiB |  00m00s
--------------------------------------------------------------------------------
[213/213] Total                         100% | 103.0 MiB/s |  60.8 MiB |  00m01s
Running transaction
[  1/215] Verify package files          100% |   1.1 KiB/s | 213.0   B |  00m00s
>>> Running pre-transaction scriptlet: filesystem-0:3.18-29.fc42.x86_64
>>> Finished pre-transaction scriptlet: filesystem-0:3.18-29.fc42.x86_64
>>> [RPM] /var/lib/mock/fedora-rawhide-x86_64-1731967467.082365/root/var/cache/d
[  2/215] Prepare transaction           100% |   5.0 KiB/s | 213.0   B |  00m00s
[  3/215] Installing libgcc-0:14.2.1-6. 100% | 265.9 MiB/s | 272.3 KiB |  00m00s
[  4/215] Installing publicsuffix-list- 100% |   0.0   B/s |  68.3 KiB |  00m00s
[  5/215] Installing libssh-config-0:0. 100% |   0.0   B/s | 816.0   B |  00m00s
[  6/215] Installing fedora-release-ide 100% |   0.0   B/s | 976.0   B |  00m00s
[  7/215] Installing fedora-gpg-keys-0: 100% |  56.1 MiB/s | 172.2 KiB |  00m00s
[  8/215] Installing fedora-repos-rawhi 100% |   0.0   B/s |   2.4 KiB |  00m00s
[  9/215] Installing fedora-repos-0:42- 100% |   0.0   B/s |   5.7 KiB |  00m00s
[ 10/215] Installing fedora-release-com 100% |  23.4 MiB/s |  24.0 KiB |  00m00s
[ 11/215] Installing fedora-release-0:4 100% |   0.0   B/s | 124.0   B |  00m00s
[ 12/215] Installing setup-0:2.15.0-5.f 100% |  70.9 MiB/s | 726.1 KiB |  00m00s
>>> [RPM] /etc/hosts created as /etc/hosts.rpmnew
[ 13/215] Installing filesystem-0:3.18- 100% |   3.9 MiB/s | 212.6 KiB |  00m00s
[ 14/215] Installing basesystem-0:11-21 100% |   0.0   B/s | 124.0   B |  00m00s
[ 15/215] Installing pcre2-syntax-0:10. 100% | 248.1 MiB/s | 254.1 KiB |  00m00s
[ 16/215] Installing coreutils-common-0 100% | 466.3 MiB/s |  11.2 MiB |  00m00s
[ 17/215] Installing ncurses-base-0:6.5 100% | 114.5 MiB/s | 351.7 KiB |  00m00s
[ 18/215] Installing glibc-minimal-lang 100% |   0.0   B/s | 124.0   B |  00m00s
[ 19/215] Installing ncurses-libs-0:6.5 100% | 239.7 MiB/s | 981.8 KiB |  00m00s
[ 20/215] Installing glibc-0:2.40.9000- 100% | 372.9 MiB/s |   6.7 MiB |  00m00s
[ 21/215] Installing bash-0:5.2.37-1.fc 100% | 480.6 MiB/s |   8.2 MiB |  00m00s
[ 22/215] Installing glibc-common-0:2.4 100% | 211.8 MiB/s |   1.1 MiB |  00m00s
[ 23/215] Installing glibc-gconv-extra- 100% | 325.6 MiB/s |   8.1 MiB |  00m00s
[ 24/215] Installing zlib-ng-compat-0:2 100% |   0.0   B/s | 134.9 KiB |  00m00s
[ 25/215] Installing xz-libs-1:5.6.3-2. 100% | 214.3 MiB/s | 219.5 KiB |  00m00s
[ 26/215] Installing bzip2-libs-0:1.0.8 100% |   0.0   B/s |  81.8 KiB |  00m00s
[ 27/215] Installing libuuid-0:2.40.2-8 100% |   0.0   B/s |  42.5 KiB |  00m00s
[ 28/215] Installing readline-0:8.2-11. 100% | 483.7 MiB/s | 495.3 KiB |  00m00s
[ 29/215] Installing libxcrypt-0:4.4.36 100% | 264.1 MiB/s | 270.4 KiB |  00m00s
[ 30/215] Installing popt-0:1.19-7.fc41 100% |  70.1 MiB/s | 143.5 KiB |  00m00s
[ 31/215] Installing libstdc++-0:14.2.1 100% | 394.3 MiB/s |   2.8 MiB |  00m00s
[ 32/215] Installing libblkid-0:2.40.2- 100% | 257.5 MiB/s | 263.6 KiB |  00m00s
[ 33/215] Installing libattr-0:2.5.2-4. 100% |   0.0   B/s |  29.5 KiB |  00m00s
[ 34/215] Installing libacl-0:2.3.2-2.f 100% |   0.0   B/s |  40.7 KiB |  00m00s
[ 35/215] Installing libzstd-0:1.5.6-2. 100% | 389.3 MiB/s | 797.2 KiB |  00m00s
[ 36/215] Installing elfutils-libelf-0: 100% | 388.8 MiB/s |   1.2 MiB |  00m00s
[ 37/215] Installing gmp-1:6.3.0-2.fc41 100% | 397.3 MiB/s | 813.7 KiB |  00m00s
[ 38/215] Installing libeconf-0:0.7.4-3 100% |   0.0   B/s |  67.4 KiB |  00m00s
[ 39/215] Installing gdbm-libs-1:1.23-7 100% | 120.7 MiB/s | 123.6 KiB |  00m00s
[ 40/215] Installing alternatives-0:1.3 100% |   0.0   B/s |  67.9 KiB |  00m00s
[ 41/215] Installing mpfr-0:4.2.1-5.fc4 100% | 407.1 MiB/s | 833.7 KiB |  00m00s
[ 42/215] Installing gawk-0:5.3.0-4.fc4 100% | 346.4 MiB/s |   1.7 MiB |  00m00s
[ 43/215] Installing dwz-0:0.15-8.fc42. 100% | 293.5 MiB/s | 300.6 KiB |  00m00s
[ 44/215] Installing unzip-0:6.0-64.fc4 100% | 381.1 MiB/s | 390.3 KiB |  00m00s
[ 45/215] Installing file-libs-0:5.45-7 100% | 764.2 MiB/s |   9.9 MiB |  00m00s
[ 46/215] Installing file-0:5.45-7.fc41 100% |  17.1 MiB/s | 105.0 KiB |  00m00s
[ 47/215] Installing crypto-policies-0: 100% |  39.9 MiB/s | 163.3 KiB |  00m00s
[ 48/215] Installing libcap-ng-0:0.8.5- 100% |   0.0   B/s |  71.0 KiB |  00m00s
[ 49/215] Installing audit-libs-0:4.0.2 100% | 325.6 MiB/s | 333.4 KiB |  00m00s
[ 50/215] Installing pam-libs-0:1.7.0-2 100% | 126.8 MiB/s | 129.9 KiB |  00m00s
[ 51/215] Installing libcap-0:2.71-1.fc 100% | 210.8 MiB/s | 215.8 KiB |  00m00s
[ 52/215] Installing systemd-libs-0:257 100% | 376.6 MiB/s |   2.3 MiB |  00m00s
[ 53/215] Installing libsmartcols-0:2.4 100% | 177.1 MiB/s | 181.4 KiB |  00m00s
[ 54/215] Installing libcom_err-0:1.47. 100% |   0.0   B/s |  68.3 KiB |  00m00s
[ 55/215] Installing libsepol-0:3.7-3.f 100% | 399.9 MiB/s | 819.0 KiB |  00m00s
[ 56/215] Installing lz4-libs-0:1.10.0- 100% | 143.1 MiB/s | 146.6 KiB |  00m00s
[ 57/215] Installing pcre2-0:10.44-1.fc 100% | 319.8 MiB/s | 654.9 KiB |  00m00s
[ 58/215] Installing libselinux-0:3.7-7 100% | 175.8 MiB/s | 180.1 KiB |  00m00s
[ 59/215] Installing sed-0:4.9-3.fc41.x 100% | 283.1 MiB/s | 869.7 KiB |  00m00s
[ 60/215] Installing findutils-1:4.10.0 100% | 371.6 MiB/s |   1.9 MiB |  00m00s
[ 61/215] Installing grep-0:3.11-9.fc41 100% | 250.8 MiB/s |   1.0 MiB |  00m00s
[ 62/215] Installing xz-1:5.6.3-2.fc42. 100% | 309.3 MiB/s |   1.2 MiB |  00m00s
[ 63/215] Installing libmount-0:2.40.2- 100% | 348.6 MiB/s | 356.9 KiB |  00m00s
[ 64/215] Installing libffi-0:3.4.6-3.f 100% |  85.7 MiB/s |  87.8 KiB |  00m00s
[ 65/215] Installing lua-libs-0:5.4.7-1 100% | 279.5 MiB/s | 286.2 KiB |  00m00s
[ 66/215] Installing libtasn1-0:4.19.0- 100% | 173.3 MiB/s | 177.5 KiB |  00m00s
[ 67/215] Installing p11-kit-0:0.25.5-4 100% | 316.6 MiB/s |   2.2 MiB |  00m00s
[ 68/215] Installing libunistring-0:1.1 100% | 432.7 MiB/s |   1.7 MiB |  00m00s
[ 69/215] Installing libidn2-0:2.3.7-2. 100% | 163.6 MiB/s | 335.1 KiB |  00m00s
[ 70/215] Installing libpsl-0:0.21.5-4. 100% |   0.0   B/s |  81.7 KiB |  00m00s
[ 71/215] Installing p11-kit-trust-0:0. 100% |  56.6 MiB/s | 405.5 KiB |  00m00s
[ 72/215] Installing openssl-libs-1:3.2 100% | 434.9 MiB/s |   7.8 MiB |  00m00s
[ 73/215] Installing coreutils-0:9.5-11 100% | 300.0 MiB/s |   5.4 MiB |  00m00s
[ 74/215] Installing ca-certificates-0: 100% |   2.2 MiB/s |   2.4 MiB |  00m01s
[ 75/215] Installing gzip-0:1.13-2.fc41 100% | 192.7 MiB/s | 394.6 KiB |  00m00s
[ 76/215] Installing authselect-libs-0: 100% | 204.4 MiB/s | 837.2 KiB |  00m00s
[ 77/215] Installing cracklib-0:2.9.11- 100% |  81.5 MiB/s | 250.3 KiB |  00m00s
[ 78/215] Installing libpwquality-0:1.4 100% | 140.0 MiB/s | 430.1 KiB |  00m00s
[ 79/215] Installing rpm-sequoia-0:1.7. 100% | 394.5 MiB/s |   2.4 MiB |  00m00s
[ 80/215] Installing libevent-0:2.1.12- 100% | 292.8 MiB/s | 899.5 KiB |  00m00s
[ 81/215] Installing util-linux-core-0: 100% | 305.6 MiB/s |   1.5 MiB |  00m00s
[ 82/215] Installing tar-2:1.35-4.fc41. 100% | 422.6 MiB/s |   3.0 MiB |  00m00s
[ 83/215] Installing libsemanage-0:3.7- 100% | 146.4 MiB/s | 299.8 KiB |  00m00s
[ 84/215] Installing shadow-utils-2:4.1 100% | 272.9 MiB/s |   4.1 MiB |  00m00s
[ 85/215] Installing zstd-0:1.5.6-2.fc4 100% | 422.9 MiB/s |   1.7 MiB |  00m00s
[ 86/215] Installing zip-0:3.0-41.fc41. 100% |  86.3 MiB/s | 707.1 KiB |  00m00s
[ 87/215] Installing groff-base-0:1.23. 100% | 227.8 MiB/s |   3.9 MiB |  00m00s
[ 88/215] Installing gdbm-1:1.23-7.fc41 100% | 227.4 MiB/s | 465.8 KiB |  00m00s
[ 89/215] Installing cyrus-sasl-lib-0:2 100% | 384.3 MiB/s |   2.3 MiB |  00m00s
[ 90/215] Installing libfdisk-0:2.40.2- 100% | 355.5 MiB/s | 364.0 KiB |  00m00s
[ 91/215] Installing bzip2-0:1.0.8-19.f 100% |  97.8 MiB/s | 100.2 KiB |  00m00s
[ 92/215] Installing libxml2-0:2.12.8-2 100% | 428.0 MiB/s |   1.7 MiB |  00m00s
[ 93/215] Installing libarchive-0:3.7.7 100% | 304.1 MiB/s | 934.2 KiB |  00m00s
[ 94/215] Installing add-determinism-0: 100% | 405.2 MiB/s |   2.4 MiB |  00m00s
[ 95/215] Installing build-reproducibil 100% |   0.0   B/s |   1.0 KiB |  00m00s
[ 96/215] Installing sqlite-libs-0:3.47 100% | 363.3 MiB/s |   1.5 MiB |  00m00s
[ 97/215] Installing rpm-libs-0:4.20.0- 100% | 355.3 MiB/s | 727.7 KiB |  00m00s
[ 98/215] Installing ed-0:1.20.2-2.fc41 100% | 145.7 MiB/s | 149.2 KiB |  00m00s
[ 99/215] Installing patch-0:2.7.6-25.f 100% | 261.9 MiB/s | 268.2 KiB |  00m00s
[100/215] Installing elfutils-default-y 100% | 510.7 KiB/s |   2.0 KiB |  00m00s
[101/215] Installing elfutils-libs-0:0. 100% | 329.4 MiB/s | 674.7 KiB |  00m00s
[102/215] Installing cpio-0:2.15-2.fc41 100% | 274.9 MiB/s |   1.1 MiB |  00m00s
[103/215] Installing diffutils-0:3.10-8 100% | 318.1 MiB/s |   1.6 MiB |  00m00s
[104/215] Installing libpkgconf-0:2.3.0 100% |   0.0   B/s |  79.3 KiB |  00m00s
[105/215] Installing pkgconf-0:2.3.0-1. 100% |  89.0 MiB/s |  91.1 KiB |  00m00s
[106/215] Installing keyutils-libs-0:1. 100% |   0.0   B/s |  55.8 KiB |  00m00s
[107/215] Installing libverto-0:0.3.2-9 100% |   0.0   B/s |  31.3 KiB |  00m00s
[108/215] Installing krb5-libs-0:1.21.3 100% | 329.3 MiB/s |   2.3 MiB |  00m00s
[109/215] Installing libtirpc-0:1.3.6-1 100% | 202.5 MiB/s | 207.3 KiB |  00m00s
[110/215] Installing libnsl2-0:2.0.1-2. 100% |  57.7 MiB/s |  59.1 KiB |  00m00s
[111/215] Installing pam-0:1.7.0-2.fc42 100% | 189.8 MiB/s |   1.7 MiB |  00m00s
[112/215] Installing libssh-0:0.11.1-1. 100% | 279.2 MiB/s | 571.7 KiB |  00m00s
[113/215] Installing jansson-0:2.14-1.f 100% |   0.0   B/s |  94.5 KiB |  00m00s
[114/215] Installing libgomp-0:14.2.1-6 100% | 509.0 MiB/s | 521.2 KiB |  00m00s
[115/215] Installing rpm-build-libs-0:4 100% | 202.6 MiB/s | 207.5 KiB |  00m00s
[116/215] Installing json-c-0:0.18-1.fc 100% |   0.0   B/s |  84.6 KiB |  00m00s
[117/215] Installing ncurses-0:6.5-2.20 100% | 309.5 MiB/s | 633.9 KiB |  00m00s
[118/215] Installing perl-Digest-0:1.20 100% |  36.2 MiB/s |  37.1 KiB |  00m00s
[119/215] Installing perl-B-0:1.89-512. 100% | 244.8 MiB/s | 501.3 KiB |  00m00s
[120/215] Installing perl-FileHandle-0: 100% |   0.0   B/s |   9.8 KiB |  00m00s
[121/215] Installing perl-Digest-MD5-0: 100% |  60.2 MiB/s |  61.7 KiB |  00m00s
[122/215] Installing perl-MIME-Base32-0 100% |   0.0   B/s |  32.2 KiB |  00m00s
[123/215] Installing perl-Data-Dumper-0 100% | 110.9 MiB/s | 113.6 KiB |  00m00s
[124/215] Installing perl-libnet-0:3.15 100% | 287.8 MiB/s | 294.7 KiB |  00m00s
[125/215] Installing perl-AutoLoader-0: 100% |   0.0   B/s |  20.9 KiB |  00m00s
[126/215] Installing perl-IO-Socket-IP- 100% |   0.0   B/s | 100.5 KiB |  00m00s
[127/215] Installing perl-URI-0:5.31-1. 100% | 131.7 MiB/s | 269.6 KiB |  00m00s
[128/215] Installing perl-Time-Local-2: 100% |   0.0   B/s |  70.6 KiB |  00m00s
[129/215] Installing perl-File-Path-0:2 100% |   0.0   B/s |  64.5 KiB |  00m00s
[130/215] Installing perl-Pod-Escapes-1 100% |   0.0   B/s |  25.9 KiB |  00m00s
[131/215] Installing perl-Text-Tabs+Wra 100% |   0.0   B/s |  23.9 KiB |  00m00s
[132/215] Installing perl-if-0:0.61.000 100% |   0.0   B/s |   6.2 KiB |  00m00s
[133/215] Installing perl-locale-0:1.12 100% |   0.0   B/s |   6.9 KiB |  00m00s
[134/215] Installing perl-Net-SSLeay-0: 100% | 340.6 MiB/s |   1.4 MiB |  00m00s
[135/215] Installing perl-IO-Socket-SSL 100% | 345.4 MiB/s | 707.4 KiB |  00m00s
[136/215] Installing perl-Class-Struct- 100% |   0.0   B/s |  25.9 KiB |  00m00s
[137/215] Installing perl-Term-ANSIColo 100% |   0.0   B/s |  99.2 KiB |  00m00s
[138/215] Installing perl-Term-Cap-0:1. 100% |   0.0   B/s |  30.6 KiB |  00m00s
[139/215] Installing perl-File-Temp-1:0 100% | 160.2 MiB/s | 164.1 KiB |  00m00s
[140/215] Installing perl-IPC-Open3-0:1 100% |   0.0   B/s |  23.3 KiB |  00m00s
[141/215] Installing perl-POSIX-0:2.20- 100% | 230.8 MiB/s | 236.4 KiB |  00m00s
[142/215] Installing perl-HTTP-Tiny-0:0 100% | 152.8 MiB/s | 156.4 KiB |  00m00s
[143/215] Installing perl-Pod-Simple-1: 100% | 278.5 MiB/s | 570.5 KiB |  00m00s
[144/215] Installing perl-Socket-4:2.03 100% | 123.1 MiB/s | 126.1 KiB |  00m00s
[145/215] Installing perl-SelectSaver-0 100% |   0.0   B/s |   2.6 KiB |  00m00s
[146/215] Installing perl-Symbol-0:1.09 100% |   0.0   B/s |   7.2 KiB |  00m00s
[147/215] Installing perl-File-stat-0:1 100% |   0.0   B/s |  13.1 KiB |  00m00s
[148/215] Installing perl-podlators-1:6 100% | 313.9 MiB/s | 321.4 KiB |  00m00s
[149/215] Installing perl-Pod-Perldoc-0 100% | 165.3 MiB/s | 169.3 KiB |  00m00s
[150/215] Installing perl-mro-0:1.29-51 100% |   0.0   B/s |  46.7 KiB |  00m00s
[151/215] Installing perl-overloading-0 100% |   0.0   B/s |   5.5 KiB |  00m00s
[152/215] Installing perl-Fcntl-0:1.18- 100% |   0.0   B/s |  50.1 KiB |  00m00s
[153/215] Installing perl-Text-ParseWor 100% |   0.0   B/s |  14.6 KiB |  00m00s
[154/215] Installing perl-base-0:2.27-5 100% |   0.0   B/s |  12.9 KiB |  00m00s
[155/215] Installing perl-IO-0:1.55-512 100% | 151.6 MiB/s | 155.2 KiB |  00m00s
[156/215] Installing perl-Pod-Usage-4:2 100% |   0.0   B/s |  86.3 KiB |  00m00s
[157/215] Installing perl-Errno-0:1.38- 100% |   0.0   B/s |   8.8 KiB |  00m00s
[158/215] Installing perl-Scalar-List-U 100% | 149.0 MiB/s | 152.6 KiB |  00m00s
[159/215] Installing perl-constant-0:1. 100% |   0.0   B/s |  27.4 KiB |  00m00s
[160/215] Installing perl-File-Basename 100% |   0.0   B/s |  14.6 KiB |  00m00s
[161/215] Installing perl-Getopt-Std-0: 100% |   0.0   B/s |  11.7 KiB |  00m00s
[162/215] Installing perl-MIME-Base64-0 100% |   0.0   B/s |  48.4 KiB |  00m00s
[163/215] Installing perl-parent-1:0.24 100% |   0.0   B/s |  10.7 KiB |  00m00s
[164/215] Installing perl-vars-0:1.05-5 100% |   0.0   B/s |   4.3 KiB |  00m00s
[165/215] Installing perl-overload-0:1. 100% |   0.0   B/s |  71.9 KiB |  00m00s
[166/215] Installing perl-Storable-1:3. 100% | 228.5 MiB/s | 234.0 KiB |  00m00s
[167/215] Installing perl-Getopt-Long-1 100% | 143.8 MiB/s | 147.2 KiB |  00m00s
[168/215] Installing perl-Carp-0:1.54-5 100% |   0.0   B/s |  47.7 KiB |  00m00s
[169/215] Installing perl-Exporter-0:5. 100% |   0.0   B/s |  55.6 KiB |  00m00s
[170/215] Installing perl-PathTools-0:3 100% | 180.2 MiB/s | 184.6 KiB |  00m00s
[171/215] Installing perl-DynaLoader-0: 100% |   0.0   B/s |  32.5 KiB |  00m00s
[172/215] Installing perl-Encode-4:3.21 100% | 393.2 MiB/s |   4.7 MiB |  00m00s
[173/215] Installing perl-libs-4:5.40.0 100% | 321.8 MiB/s |  10.0 MiB |  00m00s
[174/215] Installing perl-interpreter-4 100% | 121.1 MiB/s | 124.0 KiB |  00m00s
[175/215] Installing xxhash-libs-0:0.8. 100% |   0.0   B/s |  89.8 KiB |  00m00s
[176/215] Installing libbrotli-0:1.1.0- 100% | 273.4 MiB/s | 839.9 KiB |  00m00s
[177/215] Installing libnghttp2-0:1.64. 100% | 171.5 MiB/s | 175.6 KiB |  00m00s
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[180/215] Installing libcurl-0:8.10.1-2 100% | 409.9 MiB/s | 839.5 KiB |  00m00s
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[186/215] Installing curl-0:8.10.1-2.fc 100% |  55.6 MiB/s | 455.8 KiB |  00m00s
[187/215] Installing rpm-0:4.20.0-1.fc4 100% | 208.8 MiB/s |   2.5 MiB |  00m00s
[188/215] Installing efi-srpm-macros-0: 100% |   0.0   B/s |  41.2 KiB |  00m00s
[189/215] Installing lua-srpm-macros-0: 100% |   0.0   B/s |   1.9 KiB |  00m00s
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Warning: skipped PGP checks for 213 packages from repositories: copr_base, http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch
Complete!
Finish: installing minimal buildroot with dnf5
Start: creating root cache
Finish: creating root cache
Finish: chroot init
INFO: Installed packages:
INFO: add-determinism-0.4.3-1.fc42.x86_64
alternatives-1.30-1.fc41.x86_64
ansible-srpm-macros-1-16.fc41.noarch
audit-libs-4.0.2-1.fc41.x86_64
authselect-1.5.0-8.fc42.x86_64
authselect-libs-1.5.0-8.fc42.x86_64
basesystem-11-21.fc41.noarch
bash-5.2.37-1.fc42.x86_64
binutils-2.43.50-7.fc42.x86_64
build-reproducibility-srpm-macros-0.4.3-1.fc42.noarch
bzip2-1.0.8-19.fc41.x86_64
bzip2-libs-1.0.8-19.fc41.x86_64
ca-certificates-2024.2.69_v8.0.401-2.fc42.noarch
coreutils-9.5-11.fc42.x86_64
coreutils-common-9.5-11.fc42.x86_64
cpio-2.15-2.fc41.x86_64
cracklib-2.9.11-6.fc41.x86_64
crypto-policies-20241106-1.git35892de.fc42.noarch
curl-8.10.1-2.fc42.x86_64
cyrus-sasl-lib-2.1.28-27.fc41.x86_64
debugedit-5.1-1.fc42.x86_64
diffutils-3.10-8.fc41.x86_64
dwz-0.15-8.fc42.x86_64
ed-1.20.2-2.fc41.x86_64
efi-srpm-macros-5-12.fc41.noarch
elfutils-0.192-6.fc42.x86_64
elfutils-debuginfod-client-0.192-6.fc42.x86_64
elfutils-default-yama-scope-0.192-6.fc42.noarch
elfutils-libelf-0.192-6.fc42.x86_64
elfutils-libs-0.192-6.fc42.x86_64
fedora-gpg-keys-42-0.3.noarch
fedora-release-42-0.8.noarch
fedora-release-common-42-0.8.noarch
fedora-release-identity-basic-42-0.8.noarch
fedora-repos-42-0.3.noarch
fedora-repos-rawhide-42-0.3.noarch
file-5.45-7.fc41.x86_64
file-libs-5.45-7.fc41.x86_64
filesystem-3.18-29.fc42.x86_64
findutils-4.10.0-4.fc41.x86_64
fonts-srpm-macros-2.0.5-17.fc41.noarch
forge-srpm-macros-0.4.0-1.fc42.noarch
fpc-srpm-macros-1.3-13.fc41.noarch
gawk-5.3.0-4.fc41.x86_64
gdb-minimal-15.2-3.fc42.x86_64
gdbm-1.23-7.fc41.x86_64
gdbm-libs-1.23-7.fc41.x86_64
ghc-srpm-macros-1.9.2-1.fc42.noarch
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glibc-common-2.40.9000-18.fc42.x86_64
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glibc-minimal-langpack-2.40.9000-18.fc42.x86_64
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go-srpm-macros-3.6.0-3.fc41.noarch
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groff-base-1.23.0-7.fc41.x86_64
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keyutils-libs-1.6.3-4.fc41.x86_64
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pkgconf-2.3.0-1.fc42.x86_64
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pkgconf-pkg-config-2.3.0-1.fc42.x86_64
popt-1.19-7.fc41.x86_64
publicsuffix-list-dafsa-20240107-4.fc41.noarch
pyproject-srpm-macros-1.16.2-1.fc42.noarch
python-srpm-macros-3.13-3.fc41.noarch
qt5-srpm-macros-5.15.15-1.fc42.noarch
qt6-srpm-macros-6.8.0-1.fc42.noarch
readline-8.2-11.fc42.x86_64
redhat-rpm-config-296-1.fc42.noarch
rpm-4.20.0-1.fc42.x86_64
rpm-build-4.20.0-1.fc42.x86_64
rpm-build-libs-4.20.0-1.fc42.x86_64
rpm-libs-4.20.0-1.fc42.x86_64
rpm-sequoia-1.7.0-2.fc41.x86_64
rust-srpm-macros-26.3-3.fc42.noarch
sed-4.9-3.fc41.x86_64
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shadow-utils-4.16.0-7.fc42.x86_64
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tar-1.35-4.fc41.x86_64
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xz-5.6.3-2.fc42.x86_64
xz-libs-5.6.3-2.fc42.x86_64
zig-srpm-macros-1-3.fc41.noarch
zip-3.0-41.fc41.x86_64
zlib-ng-compat-2.2.2-1.fc42.x86_64
zstd-1.5.6-2.fc41.x86_64
Start: buildsrpm
Start: rpmbuild -bs
Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1731888000
Wrote: /builddir/build/SRPMS/python-scikit-learn-1.5.2-4.fc42.src.rpm
Finish: rpmbuild -bs
INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan
INFO: /var/lib/mock/fedora-rawhide-x86_64-1731967467.082365/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-6tzp7svr/python-scikit-learn/python-scikit-learn.spec) Config(child) 0 minutes 23 seconds
INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results
INFO: Cleaning up build root ('cleanup_on_success=True')
Start: clean chroot
INFO: unmounting tmpfs.
Finish: clean chroot
INFO: Start(/var/lib/copr-rpmbuild/results/python-scikit-learn-1.5.2-4.fc42.src.rpm)  Config(fedora-rawhide-x86_64)
Start(bootstrap): chroot init
INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-x86_64-bootstrap-1731967467.082365/root.
INFO: reusing tmpfs at /var/lib/mock/fedora-rawhide-x86_64-bootstrap-1731967467.082365/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_64-1731967467.082365/root.
INFO: calling preinit hooks
INFO: enabled root cache
Start: unpacking root cache
Finish: unpacking root cache
INFO: enabled package manager cache
Start: cleaning package manager metadata
Finish: cleaning package manager metadata
INFO: enabled HW Info plugin
INFO: Buildroot is handled by package management downloaded with a bootstrap image:
  rpm-4.20.0-1.fc42.x86_64
  rpm-sequoia-1.7.0-2.fc41.x86_64
  dnf5-5.2.7.0-1.fc42.x86_64
  dnf5-plugins-5.2.7.0-1.fc42.x86_64
Finish: chroot init
Start: build phase for python-scikit-learn-1.5.2-4.fc42.src.rpm
Start: build setup for python-scikit-learn-1.5.2-4.fc42.src.rpm
Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1731888000
Wrote: /builddir/build/SRPMS/python-scikit-learn-1.5.2-4.fc42.src.rpm
Updating and loading repositories:
 fedora                                 100% |  94.8 KiB/s |  25.8 KiB |  00m00s
 Additional repo http_kojipkgs_fedorapr 100% | 174.0 KiB/s |   3.8 KiB |  00m00s
 Copr repository                        100% | 128.0 KiB/s |   1.5 KiB |  00m00s
Repositories loaded.
Package                 Arch   Version           Repository                                                         Size
Installing:
 gcc                    x86_64 14.2.1-6.fc42     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 104.3 MiB
 gcc-c++                x86_64 14.2.1-6.fc42     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  38.1 MiB
 python3-devel          x86_64 3.13.0-1.fc42     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.8 MiB
 python3-joblib         noarch 1.4.2-3.fc42      copr_base                                                       2.1 MiB
 python3-pytest         noarch 8.3.3-3.fc42      http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  20.8 MiB
 python3-setuptools     noarch 74.1.3-4.fc42     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   8.4 MiB
 python3-threadpoolctl  noarch 3.5.0-4.fc42      copr_base                                                     136.0 KiB
Installing dependencies:
 annobin-docs           noarch 12.77-1.fc42      http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  98.4 KiB
 annobin-plugin-gcc     x86_64 12.77-1.fc42      http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 991.3 KiB
 cpp                    x86_64 14.2.1-6.fc42     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  35.0 MiB
 expat                  x86_64 2.6.4-1.fc42      http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 285.5 KiB
 gcc-plugin-annobin     x86_64 14.2.1-6.fc42     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  57.6 KiB
 glibc-devel            x86_64 2.40.9000-18.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   2.3 MiB
 kernel-headers         x86_64 6.12.0-65.fc42    http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   6.4 MiB
 libb2                  x86_64 0.98.1-12.fc41    http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  42.2 KiB
 libmpc                 x86_64 1.3.1-6.fc41      http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 164.7 KiB
 libstdc++-devel        x86_64 14.2.1-6.fc42     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  15.4 MiB
 libxcrypt-devel        x86_64 4.4.36-10.fc42    http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  30.5 KiB
 make                   x86_64 1:4.4.1-9.fc42    http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.8 MiB
 mpdecimal              x86_64 2.5.1-16.fc41     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 204.9 KiB
 pyproject-rpm-macros   noarch 1.16.2-1.fc42     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 113.8 KiB
 python-pip-wheel       noarch 24.3.1-1.fc42     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.2 MiB
 python-rpm-macros      noarch 3.13-3.fc41       http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  22.1 KiB
 python3                x86_64 3.13.0-1.fc42     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  31.8 KiB
 python3-cloudpickle    noarch 3.1.0-1.fc42      http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 127.8 KiB
 python3-iniconfig      noarch 1.1.1-24.fc42     copr_base                                                      20.6 KiB
 python3-libs           x86_64 3.13.0-1.fc42     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  40.4 MiB
 python3-packaging      noarch 24.2-2.fc42       http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 555.7 KiB
 python3-pluggy         noarch 1.5.0-1.fc42      copr_base                                                     192.7 KiB
 python3-rpm-generators noarch 14-11.fc41        http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  81.7 KiB
 python3-rpm-macros     noarch 3.13-3.fc41       http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   6.4 KiB
 tzdata                 noarch 2024a-9.fc41      http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   1.7 MiB

Transaction Summary:
 Installing:        32 packages

Total size of inbound packages is 85 MiB. Need to download 85 MiB.
After this operation, 283 MiB extra will be used (install 283 MiB, remove 0 B).
[ 1/32] python3-devel-0:3.13.0-1.fc42.x 100% |  11.6 MiB/s | 357.2 KiB |  00m00s
[ 2/32] python3-joblib-0:1.4.2-3.fc42.n 100% |  12.3 MiB/s | 529.8 KiB |  00m00s
[ 3/32] gcc-c++-0:14.2.1-6.fc42.x86_64  100% | 160.8 MiB/s |  14.2 MiB |  00m00s
[ 4/32] python3-threadpoolctl-0:3.5.0-4 100% |  14.7 MiB/s |  45.1 KiB |  00m00s
[ 5/32] python3-setuptools-0:74.1.3-4.f 100% |  72.6 MiB/s |   1.8 MiB |  00m00s
[ 6/32] python3-0:3.13.0-1.fc42.x86_64  100% |   5.4 MiB/s |  27.8 KiB |  00m00s
[ 7/32] python3-pytest-0:8.3.3-3.fc42.n 100% | 125.9 MiB/s |   2.0 MiB |  00m00s
[ 8/32] python3-cloudpickle-0:3.1.0-1.f 100% |   9.2 MiB/s |  47.2 KiB |  00m00s
[ 9/32] python3-iniconfig-0:1.1.1-24.fc 100% |   6.1 MiB/s |  18.6 KiB |  00m00s
[10/32] python3-packaging-0:24.2-2.fc42 100% |  28.1 MiB/s | 143.6 KiB |  00m00s
[11/32] python3-pluggy-0:1.5.0-1.fc42.n 100% |  17.5 MiB/s |  53.8 KiB |  00m00s
[12/32] libmpc-0:1.3.1-6.fc41.x86_64    100% |  13.9 MiB/s |  71.1 KiB |  00m00s
[13/32] libstdc++-devel-0:14.2.1-6.fc42 100% | 131.1 MiB/s |   2.6 MiB |  00m00s
[14/32] python3-libs-0:3.13.0-1.fc42.x8 100% | 204.5 MiB/s |   8.8 MiB |  00m00s
[15/32] glibc-devel-0:2.40.9000-18.fc42 100% |  46.0 MiB/s | 565.3 KiB |  00m00s
[16/32] make-1:4.4.1-9.fc42.x86_64      100% |  37.7 MiB/s | 579.3 KiB |  00m00s
[17/32] cpp-0:14.2.1-6.fc42.x86_64      100% | 189.5 MiB/s |  11.9 MiB |  00m00s
[18/32] expat-0:2.6.4-1.fc42.x86_64     100% |   6.6 MiB/s | 114.5 KiB |  00m00s
[19/32] libb2-0:0.98.1-12.fc41.x86_64   100% |   5.0 MiB/s |  25.7 KiB |  00m00s
[20/32] mpdecimal-0:2.5.1-16.fc41.x86_6 100% |  17.4 MiB/s |  89.0 KiB |  00m00s
[21/32] tzdata-0:2024a-9.fc41.noarch    100% |  70.1 MiB/s | 430.6 KiB |  00m00s
[22/32] python-pip-wheel-0:24.3.1-1.fc4 100% |  80.3 MiB/s |   1.2 MiB |  00m00s
[23/32] kernel-headers-0:6.12.0-65.fc42 100% |  87.0 MiB/s |   1.5 MiB |  00m00s
[24/32] libxcrypt-devel-0:4.4.36-10.fc4 100% |   3.1 MiB/s |  28.9 KiB |  00m00s
[25/32] pyproject-rpm-macros-0:1.16.2-1 100% |  10.9 MiB/s |  44.7 KiB |  00m00s
[26/32] python-rpm-macros-0:3.13-3.fc41 100% |   3.5 MiB/s |  17.7 KiB |  00m00s
[27/32] python3-rpm-generators-0:14-11. 100% |   7.2 MiB/s |  29.3 KiB |  00m00s
[28/32] python3-rpm-macros-0:3.13-3.fc4 100% |   2.4 MiB/s |  12.4 KiB |  00m00s
[29/32] annobin-plugin-gcc-0:12.77-1.fc 100% | 106.0 MiB/s | 977.2 KiB |  00m00s
[30/32] annobin-docs-0:12.77-1.fc42.noa 100% |  12.9 MiB/s |  92.4 KiB |  00m00s
[31/32] gcc-0:14.2.1-6.fc42.x86_64      100% | 126.9 MiB/s |  36.9 MiB |  00m00s
[32/32] gcc-plugin-annobin-0:14.2.1-6.f 100% |   1.5 MiB/s |  57.1 KiB |  00m00s
--------------------------------------------------------------------------------
[32/32] Total                           100% | 291.8 MiB/s |  85.2 MiB |  00m00s
Running transaction
[ 1/34] Verify package files            100% | 137.0   B/s |  32.0   B |  00m00s
[ 2/34] Prepare transaction             100% | 820.0   B/s |  32.0   B |  00m00s
[ 3/34] Installing python-rpm-macros-0: 100% |   0.0   B/s |  22.8 KiB |  00m00s
[ 4/34] Installing libmpc-0:1.3.1-6.fc4 100% | 162.3 MiB/s | 166.2 KiB |  00m00s
[ 5/34] Installing python3-rpm-macros-0 100% |   0.0   B/s |   6.7 KiB |  00m00s
[ 6/34] Installing pyproject-rpm-macros 100% | 113.0 MiB/s | 115.7 KiB |  00m00s
[ 7/34] Installing cpp-0:14.2.1-6.fc42. 100% | 421.4 MiB/s |  35.0 MiB |  00m00s
[ 8/34] Installing annobin-docs-0:12.77 100% |  97.2 MiB/s |  99.5 KiB |  00m00s
[ 9/34] Installing kernel-headers-0:6.1 100% | 263.8 MiB/s |   6.6 MiB |  00m00s
[10/34] Installing libxcrypt-devel-0:4. 100% |  32.1 MiB/s |  32.9 KiB |  00m00s
[11/34] Installing glibc-devel-0:2.40.9 100% | 179.1 MiB/s |   2.3 MiB |  00m00s
[12/34] Installing tzdata-0:2024a-9.fc4 100% |  77.6 MiB/s |   1.9 MiB |  00m00s
[13/34] Installing python-pip-wheel-0:2 100% | 622.1 MiB/s |   1.2 MiB |  00m00s
[14/34] Installing mpdecimal-0:2.5.1-16 100% | 201.2 MiB/s | 206.0 KiB |  00m00s
[15/34] Installing libb2-0:0.98.1-12.fc 100% |   0.0   B/s |  43.3 KiB |  00m00s
[16/34] Installing expat-0:2.6.4-1.fc42 100% |  70.2 MiB/s | 287.6 KiB |  00m00s
[17/34] Installing python3-libs-0:3.13. 100% | 391.6 MiB/s |  40.7 MiB |  00m00s
[18/34] Installing python3-0:3.13.0-1.f 100% |   0.0   B/s |  33.5 KiB |  00m00s
[19/34] Installing python3-packaging-0: 100% | 277.3 MiB/s | 568.0 KiB |  00m00s
[20/34] Installing python3-rpm-generato 100% |   0.0   B/s |  82.9 KiB |  00m00s
[21/34] Installing python3-cloudpickle- 100% | 128.4 MiB/s | 131.5 KiB |  00m00s
[22/34] Installing python3-iniconfig-0: 100% |  23.0 MiB/s |  23.5 KiB |  00m00s
[23/34] Installing python3-pluggy-0:1.5 100% | 194.3 MiB/s | 198.9 KiB |  00m00s
[24/34] Installing make-1:4.4.1-9.fc42. 100% | 360.0 MiB/s |   1.8 MiB |  00m00s
[25/34] Installing gcc-0:14.2.1-6.fc42. 100% | 472.0 MiB/s | 104.3 MiB |  00m00s
[26/34] Installing libstdc++-devel-0:14 100% | 432.2 MiB/s |  15.6 MiB |  00m00s
[27/34] Installing gcc-c++-0:14.2.1-6.f 100% | 438.3 MiB/s |  38.1 MiB |  00m00s
[28/34] Installing annobin-plugin-gcc-0 100% |  74.6 MiB/s | 992.9 KiB |  00m00s
[29/34] Installing gcc-plugin-annobin-0 100% |   4.4 MiB/s |  59.2 KiB |  00m00s
[30/34] Installing python3-pytest-0:8.3 100% | 498.9 MiB/s |  21.0 MiB |  00m00s
[31/34] Installing python3-joblib-0:1.4 100% | 275.5 MiB/s |   2.2 MiB |  00m00s
[32/34] Installing python3-devel-0:3.13 100% | 226.7 MiB/s |   1.8 MiB |  00m00s
[33/34] Installing python3-setuptools-0 100% | 285.3 MiB/s |   8.6 MiB |  00m00s
[34/34] Installing python3-threadpoolct 100% |   1.3 MiB/s | 138.0 KiB |  00m00s
Warning: skipped PGP checks for 32 packages from repositories: copr_base, http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch
Complete!
Finish: build setup for python-scikit-learn-1.5.2-4.fc42.src.rpm
Start: rpmbuild python-scikit-learn-1.5.2-4.fc42.src.rpm
Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1731888000
Executing(%mkbuilddir): /bin/sh -e /var/tmp/rpm-tmp.cRImkq
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build
+ test -d /builddir/build/BUILD/python-scikit-learn-1.5.2-build
+ /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w /builddir/build/BUILD/python-scikit-learn-1.5.2-build
+ /usr/bin/rm -rf /builddir/build/BUILD/python-scikit-learn-1.5.2-build
+ /usr/bin/mkdir -p /builddir/build/BUILD/python-scikit-learn-1.5.2-build
+ /usr/bin/mkdir -p /builddir/build/BUILD/python-scikit-learn-1.5.2-build/SPECPARTS
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.wiwlbR
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build
+ cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build
+ rm -rf scikit_learn-1.5.2
+ /usr/lib/rpm/rpmuncompress -x /builddir/build/SOURCES/scikit_learn-1.5.2.tar.gz
+ STATUS=0
+ '[' 0 -ne 0 ']'
+ cd scikit_learn-1.5.2
+ /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w .
+ sed -i -e 's|numpy>=2|numpy|' pyproject.toml
+ find sklearn/metrics/_dist_metrics.pyx.tp -type f
+ xargs sed -i 's/cdef inline {{INPUT_DTYPE_t}} rdist/cdef {{INPUT_DTYPE_t}} rdist/g'
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.aDLepj
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build
+ cd scikit_learn-1.5.2
+ echo pyproject-rpm-macros
+ echo python3-devel
+ echo 'python3dist(packaging)'
+ echo 'python3dist(pip) >= 19'
+ '[' -f pyproject.toml ']'
+ echo '(python3dist(tomli) if python3-devel < 3.11)'
+ rm -rfv '*.dist-info/'
+ '[' -f /usr/bin/python3 ']'
+ mkdir -p /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.pyproject-builddir
+ echo -n
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -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-1.5.2-build/scikit_learn-1.5.2/.pyproject-builddir
+ RPM_TOXENV=py313
+ HOSTNAME=rpmbuild
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/pyproject-wheeldir --output /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-4.fc42.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>=3.0.10 from build-system.requires
Requirement not satisfied: Cython>=3.0.10
Handling numpy from build-system.requires
Requirement not satisfied: numpy
Handling scipy>=1.6.0 from build-system.requires
Requirement not satisfied: scipy>=1.6.0
Exiting dependency generation pass: build backend
+ cat /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-4.fc42.x86_64-pyproject-buildrequires
+ rm -rfv '*.dist-info/'
+ RPM_EC=0
++ jobs -p
+ exit 0
Wrote: /builddir/build/SRPMS/python-scikit-learn-1.5.2-4.fc42.buildreqs.nosrc.rpm
INFO: Going to install missing dynamic buildrequires
Updating and loading repositories:
 fedora                                 100% |  91.2 KiB/s |  25.8 KiB |  00m00s
 Additional repo http_kojipkgs_fedorapr 100% | 212.7 KiB/s |   3.8 KiB |  00m00s
 Copr repository                        100% |  24.0 KiB/s |   1.5 KiB |  00m00s
Repositories loaded.
Package "gcc-14.2.1-6.fc42.x86_64" is already installed.
Package "gcc-c++-14.2.1-6.fc42.x86_64" is already installed.
Package "pyproject-rpm-macros-1.16.2-1.fc42.noarch" is already installed.
Package "python3-devel-3.13.0-1.fc42.x86_64" is already installed.
Package "python3-joblib-1.4.2-3.fc42.noarch" is already installed.
Package "python3-packaging-24.2-2.fc42.noarch" is already installed.
Package "python3-pytest-8.3.3-3.fc42.noarch" is already installed.
Package "python3-setuptools-74.1.3-4.fc42.noarch" is already installed.
Package "python3-threadpoolctl-3.5.0-4.fc42.noarch" is already installed.

Package                     Arch   Version          Repository                                                         Size
Installing:
 python3-cython             x86_64 3.0.11-1.fc42    copr_base                                                      18.0 MiB
 python3-meson-python       noarch 0.17.1-1.fc42    http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 277.7 KiB
 python3-numpy              x86_64 1:1.26.4-8.fc42  copr_base                                                      43.4 MiB
 python3-pip                noarch 24.3.1-1.fc42    http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  11.3 MiB
 python3-scipy              x86_64 1.14.1-1.fc42    http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  67.1 MiB
Installing dependencies:
 emacs-filesystem           noarch 1:30.0-3.fc41    http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   0.0   B
 flexiblas                  x86_64 3.4.4-3.fc41     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  48.5 KiB
 flexiblas-netlib           x86_64 3.4.4-3.fc41     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  10.7 MiB
 flexiblas-openblas-openmp  x86_64 3.4.4-3.fc41     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  43.3 KiB
 libgfortran                x86_64 14.2.1-6.fc42    http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch   3.0 MiB
 libquadmath                x86_64 14.2.1-6.fc42    http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 325.9 KiB
 meson                      noarch 1.5.1-1.fc42     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  11.4 MiB
 ninja-build                x86_64 1.12.1-3.fc41    http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 432.6 KiB
 openblas                   x86_64 0.3.26-5.fc41    http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  96.0 KiB
 openblas-openmp            x86_64 0.3.26-5.fc41    http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  39.4 MiB
 patchelf                   x86_64 0.18.0-5.fc41    http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 283.6 KiB
 python3-charset-normalizer noarch 3.4.0-1.fc42     http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 319.9 KiB
 python3-idna               noarch 3.10-1.fc42      http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 628.0 KiB
 python3-numpy-f2py         x86_64 1:1.26.4-8.fc42  copr_base                                                       2.8 MiB
 python3-platformdirs       noarch 4.2.2-3.fc42     copr_base                                                     162.0 KiB
 python3-pooch              noarch 1.8.2-4.fc42     copr_base                                                     621.1 KiB
 python3-pyproject-metadata noarch 0.8.0-4.fc42     copr_base                                                      91.7 KiB
 python3-requests           noarch 2.32.3-3.fc42    copr_base                                                     483.1 KiB
 python3-urllib3            noarch 2.2.3-5.fc42     copr_base                                                     997.0 KiB
 vim-filesystem             noarch 2:9.1.825-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch  40.0   B

Transaction Summary:
 Installing:        25 packages

Total size of inbound packages is 44 MiB. Need to download 44 MiB.
After this operation, 212 MiB extra will be used (install 212 MiB, remove 0 B).
[ 1/25] python3-cython-0:3.0.11-1.fc42. 100% | 160.0 MiB/s |   3.8 MiB |  00m00s
[ 2/25] python3-numpy-1:1.26.4-8.fc42.x 100% | 190.1 MiB/s |   7.4 MiB |  00m00s
[ 3/25] python3-meson-python-0:0.17.1-1 100% |   1.9 MiB/s |  81.2 KiB |  00m00s
[ 4/25] python3-numpy-f2py-1:1.26.4-8.f 100% | 122.5 MiB/s | 501.9 KiB |  00m00s
[ 5/25] python3-scipy-0:1.14.1-1.fc42.x 100% | 198.5 MiB/s |  17.1 MiB |  00m00s
[ 6/25] python3-pip-0:24.3.1-1.fc42.noa 100% |  22.7 MiB/s |   2.5 MiB |  00m00s
[ 7/25] python3-pooch-0:1.8.2-4.fc42.no 100% |  41.1 MiB/s | 126.3 KiB |  00m00s
[ 8/25] libgfortran-0:14.2.1-6.fc42.x86 100% |  61.1 MiB/s | 939.2 KiB |  00m00s
[ 9/25] flexiblas-netlib-0:3.4.4-3.fc41 100% |  32.5 MiB/s |   3.2 MiB |  00m00s
[10/25] python3-pyproject-metadata-0:0. 100% |  15.6 MiB/s |  31.9 KiB |  00m00s
[11/25] patchelf-0:0.18.0-5.fc41.x86_64 100% |  12.3 MiB/s | 125.5 KiB |  00m00s
[12/25] meson-0:1.5.1-1.fc42.noarch     100% | 102.2 MiB/s |   2.0 MiB |  00m00s
[13/25] flexiblas-0:3.4.4-3.fc41.x86_64 100% |   3.1 MiB/s |  25.3 KiB |  00m00s
[14/25] ninja-build-0:1.12.1-3.fc41.x86 100% |  12.6 MiB/s | 180.0 KiB |  00m00s
[15/25] flexiblas-openblas-openmp-0:3.4 100% |   1.9 MiB/s |  17.2 KiB |  00m00s
[16/25] libquadmath-0:14.2.1-6.fc42.x86 100% |  18.1 MiB/s | 204.3 KiB |  00m00s
[17/25] python3-requests-0:2.32.3-3.fc4 100% |  48.7 MiB/s | 149.8 KiB |  00m00s
[18/25] python3-platformdirs-0:4.2.2-3. 100% |   2.5 MiB/s |  41.6 KiB |  00m00s
[19/25] emacs-filesystem-1:30.0-3.fc41. 100% |   1.0 MiB/s |   7.1 KiB |  00m00s
[20/25] vim-filesystem-2:9.1.825-1.fc42 100% |   2.7 MiB/s |  16.4 KiB |  00m00s
[21/25] python3-charset-normalizer-0:3. 100% |  16.5 MiB/s | 101.4 KiB |  00m00s
[22/25] python3-idna-0:3.10-1.fc42.noar 100% |  13.6 MiB/s | 111.7 KiB |  00m00s
[23/25] python3-urllib3-0:2.2.3-5.fc42. 100% | 126.9 MiB/s | 259.9 KiB |  00m00s
[24/25] openblas-0:0.3.26-5.fc41.x86_64 100% |   6.3 MiB/s |  38.7 KiB |  00m00s
[25/25] openblas-openmp-0:0.3.26-5.fc41 100% | 129.8 MiB/s |   5.1 MiB |  00m00s
--------------------------------------------------------------------------------
[25/25] Total                           100% | 200.2 MiB/s |  44.1 MiB |  00m00s
Running transaction
[ 1/27] Verify package files            100% | 193.0   B/s |  25.0   B |  00m00s
[ 2/27] Prepare transaction             100% | 581.0   B/s |  25.0   B |  00m00s
[ 3/27] Installing libgfortran-0:14.2.1 100% | 380.6 MiB/s |   3.0 MiB |  00m00s
[ 4/27] Installing python3-idna-0:3.10- 100% | 309.7 MiB/s | 634.3 KiB |  00m00s
[ 5/27] Installing python3-urllib3-0:2. 100% | 249.2 MiB/s |   1.0 MiB |  00m00s
[ 6/27] Installing openblas-0:0.3.26-5. 100% |   0.0   B/s |  97.8 KiB |  00m00s
[ 7/27] Installing openblas-openmp-0:0. 100% | 645.4 MiB/s |  39.4 MiB |  00m00s
[ 8/27] Installing python3-charset-norm 100% | 161.0 MiB/s | 329.8 KiB |  00m00s
[ 9/27] Installing python3-requests-0:2 100% | 241.8 MiB/s | 495.2 KiB |  00m00s
[10/27] Installing vim-filesystem-2:9.1 100% |   0.0   B/s |   4.7 KiB |  00m00s
[11/27] Installing emacs-filesystem-1:3 100% |   0.0   B/s | 544.0   B |  00m00s
[12/27] Installing ninja-build-0:1.12.1 100% | 141.9 MiB/s | 435.8 KiB |  00m00s
[13/27] Installing meson-0:1.5.1-1.fc42 100% | 383.9 MiB/s |  11.5 MiB |  00m00s
[14/27] Installing python3-platformdirs 100% | 164.5 MiB/s | 168.4 KiB |  00m00s
[15/27] Installing python3-pooch-0:1.8. 100% | 207.0 MiB/s | 636.0 KiB |  00m00s
[16/27] Installing libquadmath-0:14.2.1 100% | 319.5 MiB/s | 327.2 KiB |  00m00s
[17/27] Installing flexiblas-0:3.4.4-3. 100% |   0.0   B/s |  49.7 KiB |  00m00s
[18/27] Installing flexiblas-openblas-o 100% |   0.0   B/s |  44.1 KiB |  00m00s
[19/27] Installing flexiblas-netlib-0:3 100% | 410.2 MiB/s |  10.7 MiB |  00m00s
[20/27] Installing python3-numpy-1:1.26 100% | 455.4 MiB/s |  43.7 MiB |  00m00s
[21/27] Installing python3-numpy-f2py-1 100% | 255.8 MiB/s |   2.8 MiB |  00m00s
[22/27] Installing python3-pyproject-me 100% |  92.5 MiB/s |  94.7 KiB |  00m00s
[23/27] Installing patchelf-0:0.18.0-5. 100% | 278.7 MiB/s | 285.4 KiB |  00m00s
[24/27] Installing python3-meson-python 100% |  69.3 MiB/s | 283.7 KiB |  00m00s
[25/27] Installing python3-scipy-0:1.14 100% | 424.3 MiB/s |  67.5 MiB |  00m00s
[26/27] Installing python3-pip-0:24.3.1 100% | 264.0 MiB/s |  11.6 MiB |  00m00s
[27/27] Installing python3-cython-0:3.0 100% | 224.1 MiB/s |  18.1 MiB |  00m00s
Warning: skipped PGP checks for 25 packages from repositories: copr_base, http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch
Complete!
Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1731888000
Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.z2gvwY
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build
+ cd scikit_learn-1.5.2
+ echo pyproject-rpm-macros
+ echo python3-devel
+ echo 'python3dist(packaging)'
+ echo 'python3dist(pip) >= 19'
+ '[' -f pyproject.toml ']'
+ echo '(python3dist(tomli) if python3-devel < 3.11)'
+ rm -rfv '*.dist-info/'
+ '[' -f /usr/bin/python3 ']'
+ mkdir -p /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.pyproject-builddir
+ echo -n
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -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-1.5.2-build/scikit_learn-1.5.2/.pyproject-builddir
+ RPM_TOXENV=py313
+ HOSTNAME=rpmbuild
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/pyproject-wheeldir --output /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-4.fc42.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>=3.0.10 from build-system.requires
Requirement satisfied: Cython>=3.0.10
   (installed: Cython 3.0.11)
Handling numpy from build-system.requires
Requirement satisfied: numpy
   (installed: numpy 1.26.4)
Handling scipy>=1.6.0 from build-system.requires
Requirement satisfied: scipy>=1.6.0
   (installed: scipy 1.14.1)
Handling numpy>=1.19.5 from pyproject.toml generated metadata: [dependencies] (scikit-learn)
Requirement satisfied: numpy>=1.19.5
   (installed: numpy 1.26.4)
Handling scipy>=1.6.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn)
Requirement satisfied: scipy>=1.6.0
   (installed: scipy 1.14.1)
Handling joblib>=1.2.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn)
Requirement satisfied: joblib>=1.2.0
   (installed: joblib 1.4.2)
Handling threadpoolctl>=3.1.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn)
Requirement satisfied: threadpoolctl>=3.1.0
   (installed: threadpoolctl 3.5.0)
Handling numpy>=1.19.5 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn)
Ignoring alien requirement: numpy>=1.19.5
Handling scipy>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn)
Ignoring alien requirement: scipy>=1.6.0
Handling cython>=3.0.10 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn)
Ignoring alien requirement: cython>=3.0.10
Handling meson-python>=0.16.0 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn)
Ignoring alien requirement: meson-python>=0.16.0
Handling numpy>=1.19.5 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn)
Ignoring alien requirement: numpy>=1.19.5
Handling scipy>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn)
Ignoring alien requirement: scipy>=1.6.0
Handling joblib>=1.2.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn)
Ignoring alien requirement: joblib>=1.2.0
Handling threadpoolctl>=3.1.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn)
Ignoring alien requirement: threadpoolctl>=3.1.0
Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn)
Ignoring alien requirement: matplotlib>=3.3.4
Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn)
Ignoring alien requirement: pandas>=1.1.5
Handling memory_profiler>=0.57.0 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn)
Ignoring alien requirement: memory_profiler>=0.57.0
Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: matplotlib>=3.3.4
Handling scikit-image>=0.17.2 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: scikit-image>=0.17.2
Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: pandas>=1.1.5
Handling seaborn>=0.9.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: seaborn>=0.9.0
Handling memory_profiler>=0.57.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: memory_profiler>=0.57.0
Handling sphinx>=7.3.7 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx>=7.3.7
Handling sphinx-copybutton>=0.5.2 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-copybutton>=0.5.2
Handling sphinx-gallery>=0.16.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-gallery>=0.16.0
Handling numpydoc>=1.2.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: numpydoc>=1.2.0
Handling Pillow>=7.1.2 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: Pillow>=7.1.2
Handling pooch>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: pooch>=1.6.0
Handling sphinx-prompt>=1.4.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-prompt>=1.4.0
Handling sphinxext-opengraph>=0.9.1 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinxext-opengraph>=0.9.1
Handling plotly>=5.14.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: plotly>=5.14.0
Handling polars>=0.20.30 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: polars>=0.20.30
Handling sphinx-design>=0.5.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-design>=0.5.0
Handling sphinx-design>=0.6.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-design>=0.6.0
Handling sphinxcontrib-sass>=0.3.4 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinxcontrib-sass>=0.3.4
Handling pydata-sphinx-theme>=0.15.3 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: pydata-sphinx-theme>=0.15.3
Handling sphinx-remove-toctrees>=1.0.0.post1 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-remove-toctrees>=1.0.0.post1
Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: matplotlib>=3.3.4
Handling scikit-image>=0.17.2 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: scikit-image>=0.17.2
Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: pandas>=1.1.5
Handling seaborn>=0.9.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: seaborn>=0.9.0
Handling pooch>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: pooch>=1.6.0
Handling plotly>=5.14.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: plotly>=5.14.0
Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: matplotlib>=3.3.4
Handling scikit-image>=0.17.2 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: scikit-image>=0.17.2
Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pandas>=1.1.5
Handling pytest>=7.1.2 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pytest>=7.1.2
Handling pytest-cov>=2.9.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pytest-cov>=2.9.0
Handling ruff>=0.2.1 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: ruff>=0.2.1
Handling black>=24.3.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: black>=24.3.0
Handling mypy>=1.9 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: mypy>=1.9
Handling pyamg>=4.0.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pyamg>=4.0.0
Handling polars>=0.20.30 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: polars>=0.20.30
Handling pyarrow>=12.0.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pyarrow>=12.0.0
Handling numpydoc>=1.2.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: numpydoc>=1.2.0
Handling pooch>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pooch>=1.6.0
Handling conda-lock==2.5.6 from pyproject.toml generated metadata: [optional-dependencies] maintenance (scikit-learn)
Ignoring alien requirement: conda-lock==2.5.6
+ cat /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-4.fc42.x86_64-pyproject-buildrequires
+ rm -rfv '*.dist-info/'
+ RPM_EC=0
++ jobs -p
+ exit 0
Wrote: /builddir/build/SRPMS/python-scikit-learn-1.5.2-4.fc42.buildreqs.nosrc.rpm
INFO: Going to install missing dynamic buildrequires
Updating and loading repositories:
 Additional repo http_kojipkgs_fedorapr 100% | 182.3 KiB/s |   3.8 KiB |  00m00s
 Copr repository                        100% | 109.7 KiB/s |   1.5 KiB |  00m00s
 fedora                                 100% |  94.8 KiB/s |  25.8 KiB |  00m00s
Repositories loaded.
Package "gcc-14.2.1-6.fc42.x86_64" is already installed.
Package "gcc-c++-14.2.1-6.fc42.x86_64" is already installed.
Package "pyproject-rpm-macros-1.16.2-1.fc42.noarch" is already installed.
Package "python3-devel-3.13.0-1.fc42.x86_64" is already installed.
Package "python3-cython-3.0.11-1.fc42.x86_64" is already installed.
Package "python3-joblib-1.4.2-3.fc42.noarch" is already installed.
Package "python3-joblib-1.4.2-3.fc42.noarch" is already installed.
Package "python3-meson-python-0.17.1-1.fc42.noarch" is already installed.
Package "python3-numpy-1:1.26.4-8.fc42.x86_64" is already installed.
Package "python3-numpy-1:1.26.4-8.fc42.x86_64" is already installed.
Package "python3-packaging-24.2-2.fc42.noarch" is already installed.
Package "python3-pip-24.3.1-1.fc42.noarch" is already installed.
Package "python3-pytest-8.3.3-3.fc42.noarch" is already installed.
Package "python3-scipy-1.14.1-1.fc42.x86_64" is already installed.
Package "python3-setuptools-74.1.3-4.fc42.noarch" is already installed.
Package "python3-threadpoolctl-3.5.0-4.fc42.noarch" is already installed.
Package "python3-threadpoolctl-3.5.0-4.fc42.noarch" is already installed.

Nothing to do.
Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1731888000
Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.fNrbDh
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build
+ cd scikit_learn-1.5.2
+ echo pyproject-rpm-macros
+ echo python3-devel
+ echo 'python3dist(packaging)'
+ echo 'python3dist(pip) >= 19'
+ '[' -f pyproject.toml ']'
+ echo '(python3dist(tomli) if python3-devel < 3.11)'
+ rm -rfv '*.dist-info/'
+ '[' -f /usr/bin/python3 ']'
+ mkdir -p /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.pyproject-builddir
+ echo -n
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -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-1.5.2-build/scikit_learn-1.5.2/.pyproject-builddir
+ RPM_TOXENV=py313
+ HOSTNAME=rpmbuild
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/pyproject-wheeldir --output /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-4.fc42.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>=3.0.10 from build-system.requires
Requirement satisfied: Cython>=3.0.10
   (installed: Cython 3.0.11)
Handling numpy from build-system.requires
Requirement satisfied: numpy
   (installed: numpy 1.26.4)
Handling scipy>=1.6.0 from build-system.requires
Requirement satisfied: scipy>=1.6.0
   (installed: scipy 1.14.1)
Handling numpy>=1.19.5 from pyproject.toml generated metadata: [dependencies] (scikit-learn)
Requirement satisfied: numpy>=1.19.5
   (installed: numpy 1.26.4)
Handling scipy>=1.6.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn)
Requirement satisfied: scipy>=1.6.0
   (installed: scipy 1.14.1)
Handling joblib>=1.2.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn)
Requirement satisfied: joblib>=1.2.0
   (installed: joblib 1.4.2)
Handling threadpoolctl>=3.1.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn)
Requirement satisfied: threadpoolctl>=3.1.0
   (installed: threadpoolctl 3.5.0)
Handling numpy>=1.19.5 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn)
Ignoring alien requirement: numpy>=1.19.5
Handling scipy>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn)
Ignoring alien requirement: scipy>=1.6.0
Handling cython>=3.0.10 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn)
Ignoring alien requirement: cython>=3.0.10
Handling meson-python>=0.16.0 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn)
Ignoring alien requirement: meson-python>=0.16.0
Handling numpy>=1.19.5 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn)
Ignoring alien requirement: numpy>=1.19.5
Handling scipy>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn)
Ignoring alien requirement: scipy>=1.6.0
Handling joblib>=1.2.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn)
Ignoring alien requirement: joblib>=1.2.0
Handling threadpoolctl>=3.1.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn)
Ignoring alien requirement: threadpoolctl>=3.1.0
Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn)
Ignoring alien requirement: matplotlib>=3.3.4
Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn)
Ignoring alien requirement: pandas>=1.1.5
Handling memory_profiler>=0.57.0 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn)
Ignoring alien requirement: memory_profiler>=0.57.0
Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: matplotlib>=3.3.4
Handling scikit-image>=0.17.2 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: scikit-image>=0.17.2
Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: pandas>=1.1.5
Handling seaborn>=0.9.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: seaborn>=0.9.0
Handling memory_profiler>=0.57.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: memory_profiler>=0.57.0
Handling sphinx>=7.3.7 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx>=7.3.7
Handling sphinx-copybutton>=0.5.2 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-copybutton>=0.5.2
Handling sphinx-gallery>=0.16.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-gallery>=0.16.0
Handling numpydoc>=1.2.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: numpydoc>=1.2.0
Handling Pillow>=7.1.2 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: Pillow>=7.1.2
Handling pooch>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: pooch>=1.6.0
Handling sphinx-prompt>=1.4.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-prompt>=1.4.0
Handling sphinxext-opengraph>=0.9.1 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinxext-opengraph>=0.9.1
Handling plotly>=5.14.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: plotly>=5.14.0
Handling polars>=0.20.30 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: polars>=0.20.30
Handling sphinx-design>=0.5.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-design>=0.5.0
Handling sphinx-design>=0.6.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-design>=0.6.0
Handling sphinxcontrib-sass>=0.3.4 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinxcontrib-sass>=0.3.4
Handling pydata-sphinx-theme>=0.15.3 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: pydata-sphinx-theme>=0.15.3
Handling sphinx-remove-toctrees>=1.0.0.post1 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-remove-toctrees>=1.0.0.post1
Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: matplotlib>=3.3.4
Handling scikit-image>=0.17.2 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: scikit-image>=0.17.2
Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: pandas>=1.1.5
Handling seaborn>=0.9.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: seaborn>=0.9.0
Handling pooch>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: pooch>=1.6.0
Handling plotly>=5.14.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: plotly>=5.14.0
Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: matplotlib>=3.3.4
Handling scikit-image>=0.17.2 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: scikit-image>=0.17.2
Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pandas>=1.1.5
Handling pytest>=7.1.2 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pytest>=7.1.2
Handling pytest-cov>=2.9.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pytest-cov>=2.9.0
Handling ruff>=0.2.1 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: ruff>=0.2.1
Handling black>=24.3.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: black>=24.3.0
Handling mypy>=1.9 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: mypy>=1.9
Handling pyamg>=4.0.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pyamg>=4.0.0
Handling polars>=0.20.30 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: polars>=0.20.30
Handling pyarrow>=12.0.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pyarrow>=12.0.0
Handling numpydoc>=1.2.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: numpydoc>=1.2.0
Handling pooch>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pooch>=1.6.0
Handling conda-lock==2.5.6 from pyproject.toml generated metadata: [optional-dependencies] maintenance (scikit-learn)
Ignoring alien requirement: conda-lock==2.5.6
+ cat /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-4.fc42.x86_64-pyproject-buildrequires
+ rm -rfv '*.dist-info/'
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.hDiNeJ
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -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-1.5.2
+ mkdir -p /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.pyproject-builddir
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -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-1.5.2-build/scikit_learn-1.5.2/.pyproject-builddir
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_wheel.py /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/pyproject-wheeldir
Processing /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2
  Preparing metadata (pyproject.toml): started
  Running command Preparing metadata (pyproject.toml)
  + meson setup /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2 /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.mesonpy-f6_4czes -Dbuildtype=release -Db_ndebug=if-release -Db_vscrt=md --native-file=/builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.mesonpy-f6_4czes/meson-python-native-file.ini
  The Meson build system
  Version: 1.5.1
  Source dir: /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2
  Build dir: /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.mesonpy-f6_4czes
  Build type: native build
  Project name: scikit-learn
  Project version: 1.5.2
  C compiler for the host machine: gcc (gcc 14.2.1 "gcc (GCC) 14.2.1 20241104 (Red Hat 14.2.1-6)")
  C linker for the host machine: gcc ld.bfd 2.43.50.20241104
  C++ compiler for the host machine: g++ (gcc 14.2.1 "g++ (GCC) 14.2.1 20241104 (Red Hat 14.2.1-6)")
  C++ linker for the host machine: g++ ld.bfd 2.43.50.20241104
  Cython compiler for the host machine: cython (cython 3.0.11)
  Host machine cpu family: 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 1.5.2

    User defined options
      Native files: /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.mesonpy-f6_4czes/meson-python-native-file.ini
      buildtype   : release
      b_ndebug    : if-release
      b_vscrt     : md

  Found ninja-1.12.1 at /usr/bin/ninja
  + /usr/bin/ninja
  [1/249] Copying file sklearn/_loss/_loss.pxd
  [2/249] Copying file sklearn/utils/_heap.pxd
  [3/249] Copying file sklearn/utils/__init__.py
  [4/249] Copying file sklearn/__init__.py
  [5/249] Copying file sklearn/utils/_cython_blas.pxd
  [6/249] Copying file sklearn/utils/_openmp_helpers.pxd
  [7/249] Copying file sklearn/utils/_sorting.pxd
  [8/249] Generating sklearn/utils/_weight_vector_pxd with a custom command
  [9/249] Generating sklearn/utils/_seq_dataset_pxd with a custom command
  [10/249] Generating sklearn/metrics/_dist_metrics_pxd with a custom command
  [11/249] Copying file sklearn/utils/_random.pxd
  [12/249] Copying file sklearn/utils/_vector_sentinel.pxd
  [13/249] Copying file sklearn/metrics/__init__.py
  [14/249] Copying file sklearn/utils/_typedefs.pxd
  [15/249] Copying file sklearn/metrics/_pairwise_distances_reduction/__init__.py
  [16/249] Generating sklearn/metrics/_pairwise_distances_reduction/_datasets_pair_pxd with a custom command
  [17/249] Copying file sklearn/metrics/_pairwise_distances_reduction/_classmode.pxd
  [18/249] Generating sklearn/metrics/_pairwise_distances_reduction/_base_pxd with a custom command
  [19/249] Generating sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer_pxd with a custom command
  [20/249] Generating sklearn/metrics/_pairwise_distances_reduction/_argkmin_pxd with a custom command
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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:29084:29: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  29084 |             __pyx_v_x2_data = ((&(*((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const  *) ( /* dim=1 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const  *) ( /* dim=0 */ (__pyx_v_Y_data.data + __pyx_t_18 * __pyx_v_Y_data.strides[0]) )) + __pyx_t_19)) )))) + (__pyx_v_i2 * __pyx_v_n_features));
        |                             ^
  sklearn/metrics/_dist_metrics.cpython-313-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:29869:27: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  29869 |           __pyx_v_x1_data = ((&(*((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const  *) ( /* dim=1 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const  *) ( /* dim=0 */ (__pyx_v_X_data.data + __pyx_t_15 * __pyx_v_X_data.strides[0]) )) + __pyx_t_16)) )))) + (__pyx_v_i1 * __pyx_v_n_features));
        |                           ^
  sklearn/metrics/_dist_metrics.cpython-313-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:48708:29: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  48708 |             __pyx_v_x2_data = ((&(*((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const  *) ( /* dim=1 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const  *) ( /* dim=0 */ (__pyx_v_Y_data.data + __pyx_t_18 * __pyx_v_Y_data.strides[0]) )) + __pyx_t_19)) )))) + (__pyx_v_i2 * __pyx_v_n_features));
        |                             ^
  sklearn/metrics/_dist_metrics.cpython-313-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:49493:27: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  49493 |           __pyx_v_x1_data = ((&(*((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const  *) ( /* dim=1 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const  *) ( /* dim=0 */ (__pyx_v_X_data.data + __pyx_t_15 * __pyx_v_X_data.strides[0]) )) + __pyx_t_16)) )))) + (__pyx_v_i1 * __pyx_v_n_features));
        |                           ^
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  [151/249] Compiling C object sklearn/ensemble/_gradient_boosting.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_ensemble__gradient_boosting.pyx.c.o
  [152/249] Compiling C object sklearn/ensemble/_hist_gradient_boosting/histogram.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_ensemble__hist_gradient_boosting_histogram.pyx.c.o
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  [154/249] Compiling C object sklearn/ensemble/_hist_gradient_boosting/splitting.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_ensemble__hist_gradient_boosting_splitting.pyx.c.o
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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;
        |         ^~~~~~~~~~
  [156/249] Compiling C object sklearn/ensemble/_hist_gradient_boosting/_predictor.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_ensemble__hist_gradient_boosting__predictor.pyx.c.o
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  [168/249] Linking static target sklearn/svm/liblibsvm-skl.a
  [169/249] Compiling C object sklearn/neighbors/_quad_tree.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_neighbors__quad_tree.pyx.c.o
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  [172/249] Compiling C object sklearn/svm/_libsvm_sparse.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_svm__libsvm_sparse.pyx.c.o
  [173/249] Compiling C object sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_neighbors__ball_tree.pyx.c.o
  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:32313:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  32313 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_1)) ))));
        |                     ^
  sklearn/neighbors/_ball_tree.cpython-313-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:39728:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  39728 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_ball_tree.cpython-313-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:40281:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  40281 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_ball_tree.cpython-313-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:41187:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  41187 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_ball_tree.cpython-313-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:41798:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  41798 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_ball_tree.cpython-313-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:42201:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  42201 |   __pyx_v_idx_array1 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_1)) ))));
        |                      ^
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:42211:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  42211 |   __pyx_v_idx_array2 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_other->idx_array.data) + __pyx_t_1)) ))));
        |                      ^
  sklearn/neighbors/_ball_tree.cpython-313-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:46126:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  46126 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_1)) ))));
        |                     ^
  sklearn/neighbors/_ball_tree.cpython-313-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:53550:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  53550 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_ball_tree.cpython-313-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:54103:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  54103 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_ball_tree.cpython-313-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:55009:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  55009 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_ball_tree.cpython-313-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:55620:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  55620 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_ball_tree.cpython-313-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:56023:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  56023 |   __pyx_v_idx_array1 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_1)) ))));
        |                      ^
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:56033:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  56033 |   __pyx_v_idx_array2 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_other->idx_array.data) + __pyx_t_1)) ))));
        |                      ^
  sklearn/neighbors/_ball_tree.cpython-313-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:57910:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  57910 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_tree->idx_array.data) + __pyx_t_1)) ))));
        |                     ^
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:57933:20: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  57933 |   __pyx_v_centroid = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const  *) ( /* dim=2 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const  *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_tree->node_bounds.data + __pyx_t_2 * __pyx_v_tree->node_bounds.strides[0]) ) + __pyx_t_3 * __pyx_v_tree->node_bounds.strides[1]) )) + __pyx_t_1)) ))));
        |                    ^
  sklearn/neighbors/_ball_tree.cpython-313-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:59285:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  59285 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_tree->idx_array.data) + __pyx_t_1)) ))));
        |                     ^
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:59308:20: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  59308 |   __pyx_v_centroid = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const  *) ( /* dim=2 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const  *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_tree->node_bounds.data + __pyx_t_2 * __pyx_v_tree->node_bounds.strides[0]) ) + __pyx_t_3 * __pyx_v_tree->node_bounds.strides[1]) )) + __pyx_t_1)) ))));
        |                    ^
  In function ‘__pyx_fuse_0__pyx_f_7sklearn_9neighbors_10_ball_tree__total_node_weight’,
      inlined from ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__kde_single_depthfirst’ at sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:55332:19:
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:57659:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized]
  57659 |     __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])]));
        |                                                    ^
  sklearn/neighbors/_ball_tree.cpython-313-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:54909:55: note: ‘__pyx_v_sample_weight’ was declared here
  54909 |   __pyx_t_7sklearn_5utils_9_typedefs_float32_t const *__pyx_v_sample_weight;
        |                                                       ^~~~~~~~~~~~~~~~~~~~~
  In function ‘__pyx_fuse_1__pyx_f_7sklearn_9neighbors_10_ball_tree__total_node_weight’,
      inlined from ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__kde_single_depthfirst’ at sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:41510:19:
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:57718:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized]
  57718 |     __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])]));
        |                                                    ^
  sklearn/neighbors/_ball_tree.cpython-313-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:41087:55: note: ‘__pyx_v_sample_weight’ was declared here
  41087 |   __pyx_t_7sklearn_5utils_9_typedefs_float64_t const *__pyx_v_sample_weight;
        |                                                       ^~~~~~~~~~~~~~~~~~~~~
  [174/249] Compiling C object sklearn/svm/_liblinear.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_svm__liblinear.pyx.c.o
  [175/249] Compiling C object sklearn/svm/_libsvm.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_svm__libsvm.pyx.c.o
  [176/249] 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:32181:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  32181 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_1)) ))));
        |                     ^
  sklearn/neighbors/_kd_tree.cpython-313-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:39596:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  39596 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_kd_tree.cpython-313-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:40149:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  40149 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_kd_tree.cpython-313-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:41055:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  41055 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_kd_tree.cpython-313-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:41666:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  41666 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_kd_tree.cpython-313-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:42069:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  42069 |   __pyx_v_idx_array1 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_1)) ))));
        |                      ^
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:42079:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  42079 |   __pyx_v_idx_array2 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_other->idx_array.data) + __pyx_t_1)) ))));
        |                      ^
  sklearn/neighbors/_kd_tree.cpython-313-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:45994:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  45994 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_1)) ))));
        |                     ^
  sklearn/neighbors/_kd_tree.cpython-313-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:53418:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  53418 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_kd_tree.cpython-313-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:53971:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  53971 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_kd_tree.cpython-313-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:54877:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  54877 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_kd_tree.cpython-313-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:55488:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  55488 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_kd_tree.cpython-313-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:55891:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  55891 |   __pyx_v_idx_array1 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_1)) ))));
        |                      ^
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:55901:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  55901 |   __pyx_v_idx_array2 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_other->idx_array.data) + __pyx_t_1)) ))));
        |                      ^
  sklearn/neighbors/_kd_tree.cpython-313-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:57775:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  57775 |   __pyx_v_lower_bounds = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const  *) ( /* dim=2 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const  *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_tree->node_bounds.data + __pyx_t_1 * __pyx_v_tree->node_bounds.strides[0]) ) + __pyx_t_2 * __pyx_v_tree->node_bounds.strides[1]) )) + __pyx_t_3)) ))));
        |                        ^
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:57787:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  57787 |   __pyx_v_upper_bounds = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const  *) ( /* dim=2 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const  *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_tree->node_bounds.data + __pyx_t_3 * __pyx_v_tree->node_bounds.strides[0]) ) + __pyx_t_2 * __pyx_v_tree->node_bounds.strides[1]) )) + __pyx_t_1)) ))));
        |                        ^
  sklearn/neighbors/_kd_tree.cpython-313-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:59584:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  59584 |   __pyx_v_lower_bounds = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const  *) ( /* dim=2 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const  *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_tree->node_bounds.data + __pyx_t_1 * __pyx_v_tree->node_bounds.strides[0]) ) + __pyx_t_2 * __pyx_v_tree->node_bounds.strides[1]) )) + __pyx_t_3)) ))));
        |                        ^
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:59596:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  59596 |   __pyx_v_upper_bounds = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const  *) ( /* dim=2 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const  *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_tree->node_bounds.data + __pyx_t_3 * __pyx_v_tree->node_bounds.strides[0]) ) + __pyx_t_2 * __pyx_v_tree->node_bounds.strides[1]) )) + __pyx_t_1)) ))));
        |                        ^
  In function ‘__pyx_fuse_0__pyx_f_7sklearn_9neighbors_8_kd_tree__total_node_weight’,
      inlined from ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__kde_single_depthfirst’ at sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:55200:19:
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:57527:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized]
  57527 |     __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])]));
        |                                                    ^
  sklearn/neighbors/_kd_tree.cpython-313-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:54777:55: note: ‘__pyx_v_sample_weight’ was declared here
  54777 |   __pyx_t_7sklearn_5utils_9_typedefs_float32_t const *__pyx_v_sample_weight;
        |                                                       ^~~~~~~~~~~~~~~~~~~~~
  In function ‘__pyx_fuse_1__pyx_f_7sklearn_9neighbors_8_kd_tree__total_node_weight’,
      inlined from ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__kde_single_depthfirst’ at sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:41378:19:
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:57586:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized]
  57586 |     __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])]));
        |                                                    ^
  sklearn/neighbors/_kd_tree.cpython-313-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:40955:55: note: ‘__pyx_v_sample_weight’ was declared here
  40955 |   __pyx_t_7sklearn_5utils_9_typedefs_float64_t const *__pyx_v_sample_weight;
        |                                                       ^~~~~~~~~~~~~~~~~~~~~
  [177/249] Generating sklearn/write_built_with_meson_file with a custom command
  [178/249] Compiling C++ object sklearn/preprocessing/_target_encoder_fast.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_preprocessing__target_encoder_fast.pyx.cpp.o
  [179/249] Linking target sklearn/__check_build/_check_build.cpython-313-x86_64-linux-gnu.so
  [180/249] Linking target sklearn/_isotonic.cpython-313-x86_64-linux-gnu.so
  [181/249] Compiling C object sklearn/tree/_utils.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_tree__utils.pyx.c.o
  [182/249] Compiling C object sklearn/tree/_criterion.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_tree__criterion.pyx.c.o
  [183/249] Compiling C object sklearn/tree/_splitter.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_tree__splitter.pyx.c.o
  [184/249] Linking target sklearn/utils/sparsefuncs_fast.cpython-313-x86_64-linux-gnu.so
  [185/249] Linking target sklearn/utils/_cython_blas.cpython-313-x86_64-linux-gnu.so
  [186/249] Linking target sklearn/utils/arrayfuncs.cpython-313-x86_64-linux-gnu.so
  [187/249] Linking target sklearn/utils/murmurhash.cpython-313-x86_64-linux-gnu.so
  [188/249] Linking target sklearn/utils/_fast_dict.cpython-313-x86_64-linux-gnu.so
  [189/249] Linking target sklearn/utils/_heap.cpython-313-x86_64-linux-gnu.so
  [190/249] Linking target sklearn/utils/_sorting.cpython-313-x86_64-linux-gnu.so
  [191/249] Linking target sklearn/utils/_openmp_helpers.cpython-313-x86_64-linux-gnu.so
  [192/249] Linking target sklearn/utils/_typedefs.cpython-313-x86_64-linux-gnu.so
  [193/249] Linking target sklearn/utils/_random.cpython-313-x86_64-linux-gnu.so
  [194/249] Linking target sklearn/utils/_vector_sentinel.cpython-313-x86_64-linux-gnu.so
  [195/249] Linking target sklearn/utils/_isfinite.cpython-313-x86_64-linux-gnu.so
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  [199/249] Compiling C++ object sklearn/tree/_tree.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_tree__tree.pyx.cpp.o
  In file included from /usr/include/c++/14/x86_64-redhat-linux/bits/c++allocator.h:33,
                   from /usr/include/c++/14/bits/allocator.h:46,
                   from /usr/include/c++/14/string:43,
                   from /usr/include/c++/14/bits/locale_classes.h:40,
                   from /usr/include/c++/14/bits/ios_base.h:41,
                   from /usr/include/c++/14/ios:44,
                   from sklearn/tree/_tree.cpython-313-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++/14/bits/alloc_traits.h:569:17,
      inlined from ‘std::deque<long, std::allocator<long> >::_M_push_back_aux<long const&>(long const&)void’ at /usr/include/c++/14/bits/deque.tcc:501:30,
      inlined from ‘std::deque<long, std::allocator<long> >::push_back(long const&)’ at /usr/include/c++/14/bits/stl_deque.h:1548:20,
      inlined from ‘std::stack<long, std::deque<long, std::allocator<long> > >::push(long const&)’ at /usr/include/c++/14/bits/stl_stack.h:259:20,
      inlined from ‘__pyx_f_7sklearn_4tree_5_tree__cost_complexity_prune(__Pyx_memviewslice, __pyx_obj_7sklearn_4tree_5_tree_Tree*, __pyx_obj_7sklearn_4tree_5_tree__CCPPruneController*) [clone .isra.0]’ at sklearn/tree/_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/tree/_tree.pyx.cpp:43521:44:
  /usr/include/c++/14/bits/new_allocator.h:191:11: warning: ‘__pyx_v_pruned_branch_node_idx’ may be used uninitialized [-Wmaybe-uninitialized]
    191 |         { ::new((void *)__p) _Up(std::forward<_Args>(__args)...); }
        |           ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  sklearn/tree/_tree.cpython-313-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:42635:45: note: ‘__pyx_v_pruned_branch_node_idx’ was declared here
  42635 |   __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_pruned_branch_node_idx;
        |                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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  Preparing metadata (pyproject.toml): finished with status 'done'
Building wheels for collected packages: scikit-learn
  Building wheel for scikit-learn (pyproject.toml): started
  Running command Building wheel for scikit-learn (pyproject.toml)
  Building wheel for scikit-learn (pyproject.toml): finished with status 'done'
  Created wheel for scikit-learn: filename=scikit_learn-1.5.2-cp313-cp313-linux_x86_64.whl size=49433391 sha256=da590c1e7c640bdc22fc2841d958a1072758321fce01f1d5f1fd481279f41f38
  Stored in directory: /builddir/.cache/pip/wheels/d0/f7/ed/169788b6ef0d060c3252060e72ecfdac93fbbb182a5bfb10c0
Successfully built scikit-learn
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.tTMlR1
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build
+ '[' /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT '!=' / ']'
+ rm -rf /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT
++ dirname /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT
+ mkdir -p /builddir/build/BUILD/python-scikit-learn-1.5.2-build
+ mkdir /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -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-1.5.2
++ ls /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/pyproject-wheeldir/scikit_learn-1.5.2-cp313-cp313-linux_x86_64.whl
++ xargs basename --multiple
++ sed -E 's/([^-]+)-([^-]+)-.+\.whl/\1==\2/'
+ specifier=scikit_learn==1.5.2
+ '[' -z scikit_learn==1.5.2 ']'
+ TMPDIR=/builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.pyproject-builddir
+ /usr/bin/python3 -m pip install --root /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT --prefix /usr --no-deps --disable-pip-version-check --progress-bar off --verbose --ignore-installed --no-warn-script-location --no-index --no-cache-dir --find-links /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/pyproject-wheeldir scikit_learn==1.5.2
Using pip 24.3.1 from /usr/lib/python3.13/site-packages/pip (python 3.13)
Looking in links: /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/pyproject-wheeldir
Processing ./pyproject-wheeldir/scikit_learn-1.5.2-cp313-cp313-linux_x86_64.whl
Installing collected packages: scikit_learn
Successfully installed scikit_learn-1.5.2
+ '[' -d /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/bin ']'
+ rm -f /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-4.fc42.x86_64-pyproject-ghost-distinfo
+ site_dirs=()
+ '[' -d /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib/python3.13/site-packages ']'
+ '[' /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages '!=' /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib/python3.13/site-packages ']'
+ '[' -d /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages ']'
+ site_dirs+=("/usr/lib64/python3.13/site-packages")
+ for site_dir in ${site_dirs[@]}
+ for distinfo in /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT$site_dir/*.dist-info
+ echo '%ghost /usr/lib64/python3.13/site-packages/scikit_learn-1.5.2.dist-info'
+ sed -i s/pip/rpm/ /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/scikit_learn-1.5.2.dist-info/INSTALLER
+ PYTHONPATH=/usr/lib/rpm/redhat
+ /usr/bin/python3 -B /usr/lib/rpm/redhat/pyproject_preprocess_record.py --buildroot /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT --record /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/scikit_learn-1.5.2.dist-info/RECORD --output /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-4.fc42.x86_64-pyproject-record
+ rm -fv /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/scikit_learn-1.5.2.dist-info/RECORD
removed '/builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/scikit_learn-1.5.2.dist-info/RECORD'
+ rm -fv /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/scikit_learn-1.5.2.dist-info/REQUESTED
removed '/builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/scikit_learn-1.5.2.dist-info/REQUESTED'
++ wc -l /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-4.fc42.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-1.5.2-build/python-scikit-learn-1.5.2-4.fc42.x86_64-pyproject-files --output-modules /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-4.fc42.x86_64-pyproject-modules --buildroot /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT --sitelib /usr/lib/python3.13/site-packages --sitearch /usr/lib64/python3.13/site-packages --python-version 3.13 --pyproject-record /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-4.fc42.x86_64-pyproject-record --prefix /usr sklearn
+ /usr/bin/find-debuginfo -j4 --strict-build-id -m -i --build-id-seed 1.5.2-4.fc42 --unique-debug-suffix -1.5.2-4.fc42.x86_64 --unique-debug-src-base python-scikit-learn-1.5.2-4.fc42.x86_64 --run-dwz --dwz-low-mem-die-limit 10000000 --dwz-max-die-limit 110000000 -S debugsourcefiles.list /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2
find-debuginfo: starting
Extracting debug info from 67 files
DWARF-compressing 67 files
sepdebugcrcfix: Updated 67 CRC32s, 0 CRC32s did match.
Creating .debug symlinks for symlinks to ELF files
Copying sources found by 'debugedit -l' to /usr/src/debug/python-scikit-learn-1.5.2-4.fc42.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/ensemble/tests/test_weight_boosting.py is executable but has no shebang, removing executable bit
*** WARNING: ./usr/lib64/python3.13/site-packages/sklearn/cluster/_optics.py is executable but has no shebang, removing executable bit
+ /usr/lib/rpm/brp-remove-la-files
+ env /usr/lib/rpm/redhat/brp-python-bytecompile '' 1 0 -j4
Bytecompiling .py files below /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib/debug/usr/lib64/python3.13 using python3.13
Bytecompiling .py files below /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13 using python3.13
+ /usr/lib/rpm/redhat/brp-python-hardlink
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Scanned 237 directories and 2102 files,
               processed 811 inodes,
               811 modified (490 replaced + 321 rewritten),
               0 unsupported format, 0 errors
Reading /builddir/build/BUILD/python-scikit-learn-1.5.2-build/SPECPARTS/rpm-debuginfo.specpart
Executing(%check): /bin/sh -e /var/tmp/rpm-tmp.PBKrcT
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -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-1.5.2
+ export PYTHONDONTWRITEBYTECODE=1
+ PYTHONDONTWRITEBYTECODE=1
+ export 'PYTEST_ADDOPTS=-p no:cacheprovider'
+ PYTEST_ADDOPTS='-p no:cacheprovider'
~/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages ~/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2
+ pushd /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages
+ pytest --deselect 'sklearn/datasets/tests/test_openml.py::test_fetch_openml_verify_checksum[True-liac-arff]' --deselect 'sklearn/datasets/tests/test_openml.py::test_fetch_openml_verify_checksum[False-liac-arff]' --deselect 'sklearn/datasets/tests/test_openml.py::test_fetch_openml_verify_checksum[True-pandas]' --deselect 'sklearn/datasets/tests/test_openml.py::test_fetch_openml_verify_checksum[False-pandas]' --deselect sklearn/covariance/tests/test_covariance.py --deselect sklearn/covariance/tests/test_robust_covariance.py --deselect sklearn/linear_model/tests/test_bayes.py::test_toy_ard_object --deselect 'sklearn/linear_model/tests/test_bayes.py::test_ard_accuracy_on_easy_problem[42-10-100]' --deselect 'sklearn/linear_model/tests/test_bayes.py::test_ard_accuracy_on_easy_problem[42-100-10]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_estimators_dtypes]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_regressors_no_decision_function]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_methods_sample_order_invariance]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_methods_subset_invariance]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_dont_overwrite_parameters]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_fit2d_predict1d]' --deselect 'sklearn/tests/test_common.py::test_estimators[EllipticEnvelope()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[EmpiricalCovariance()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[FastICA()-check_methods_sample_order_invariance]' --deselect 'sklearn/tests/test_common.py::test_estimators[FastICA()-check_methods_subset_invariance]' --deselect 'sklearn/tests/test_common.py::test_estimators[FastICA()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[FastICA()-check_dict_unchanged]' --deselect 'sklearn/tests/test_common.py::test_estimators[FastICA()-check_dont_overwrite_parameters]' --deselect 'sklearn/tests/test_common.py::test_estimators[FastICA()-check_fit2d_predict1d]' --deselect 'sklearn/tests/test_common.py::test_estimators[KernelPCA()-check_fit2d_1sample]' --deselect 'sklearn/tests/test_common.py::test_estimators[LedoitWolf()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[MinCovDet()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[OAS()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[RidgeCV()-check_fit2d_1sample]' --deselect 'sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV()-check_fit2d_1sample]' --deselect 'sklearn/tests/test_common.py::test_estimators[ShrunkCovariance()-check_fit2d_1feature]' --deselect 'sklearn/utils/tests/test_validation.py::test_check_is_fitted_with_attributes[list]' --deselect sklearn/utils/tests/test_validation.py::test_check_is_fitted sklearn
============================= test session starts ==============================
platform linux -- Python 3.13.0, pytest-8.3.3, pluggy-1.5.0
rootdir: /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages
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=============================== warnings summary ===============================
sklearn/utils/estimator_checks.py:457: 10 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:457: SkipTestWarning: Can't instantiate estimator ColumnTransformer parameters ['transformers']
    warnings.warn(msg, SkipTestWarning)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

sklearn/cluster/tests/test_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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/base.py:1473: ConvergenceWarning: Number of distinct clusters (2) found smaller than n_clusters (3). Possibly due to duplicate points in X.
    return fit_method(estimator, *args, **kwargs)

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

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

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

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

sklearn/cluster/tests/test_mean_shift.py: 3 warnings
sklearn/compose/tests/test_column_transformer.py: 2 warnings
sklearn/decomposition/tests/test_dict_learning.py: 10 warnings
sklearn/decomposition/tests/test_online_lda.py: 2 warnings
sklearn/ensemble/tests/test_bagging.py: 8 warnings
sklearn/ensemble/tests/test_forest.py: 2 warnings
sklearn/manifold/tests/test_mds.py: 3 warnings
sklearn/metrics/tests/test_classification.py: 2 warnings
sklearn/metrics/tests/test_pairwise.py: 2 warnings
sklearn/model_selection/tests/test_search.py: 6 warnings
sklearn/neighbors/tests/test_kd_tree.py: 2 warnings
sklearn/neighbors/tests/test_neighbors.py: 2 warnings
sklearn/tests/test_multioutput.py: 4 warnings
sklearn/tests/test_pipeline.py: 2 warnings
  /usr/lib/python3.13/site-packages/joblib/externals/loky/backend/fork_exec.py:38: DeprecationWarning: This process (pid=13813) is multi-threaded, use of fork() may lead to deadlocks in the child.
    pid = os.fork()

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

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

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

sklearn/covariance/tests/test_graphical_lasso.py::test_graphical_lasso_n_iter[cd]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/covariance/_graph_lasso.py:139: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008809462491802256, tolerance: 8.876533008162484e-05
    coefs, _, _, _ = cd_fast.enet_coordinate_descent_gram(

sklearn/covariance/tests/test_graphical_lasso.py::test_graphical_lasso_n_iter[cd]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/covariance/_graph_lasso.py:139: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0010103266374812403, tolerance: 8.96862030376985e-05
    coefs, _, _, _ = cd_fast.enet_coordinate_descent_gram(

sklearn/covariance/tests/test_graphical_lasso.py::test_graphical_lasso_n_iter[cd]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/covariance/_graph_lasso.py:139: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.002290488556457526, tolerance: 0.00011435637954661176
    coefs, _, _, _ = cd_fast.enet_coordinate_descent_gram(

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

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

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

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

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

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

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

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

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

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

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

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

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

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

sklearn/decomposition/tests/test_nmf.py::test_nmf_dtype_match[MiniBatchNMF-solver2-float32-float32]
sklearn/decomposition/tests/test_nmf.py::test_nmf_dtype_match[MiniBatchNMF-solver2-float32-float32]
sklearn/decomposition/tests/test_nmf.py::test_nmf_dtype_match[MiniBatchNMF-solver2-float64-float64]
sklearn/decomposition/tests/test_nmf.py::test_nmf_dtype_match[MiniBatchNMF-solver2-float64-float64]
sklearn/decomposition/tests/test_nmf.py::test_NMF_inverse_transform_Xt_deprecation[MiniBatchNMF]
sklearn/decomposition/tests/test_nmf.py::test_nmf_n_components_auto[MiniBatchNMF]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:2341: ConvergenceWarning: Maximum number of iterations 200 reached. Increase it to improve convergence.
    warnings.warn(

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

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

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

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

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

sklearn/ensemble/tests/test_bagging.py: 5 warnings
sklearn/tree/tests/test_tree.py: 73 warnings
sklearn/utils/tests/test_response.py: 1 warning
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/tree/_classes.py:1074: RuntimeWarning: divide by zero encountered in log
    return np.log(proba)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

sklearn/gaussian_process/tests/test_gpr.py::test_anisotropic_kernel
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/_gpr.py:659: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:442: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__k2__length_scale is close to the specified lower bound 0.0001. Decreasing the bound and calling fit again may find a better value.
    warnings.warn(

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

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

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

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

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

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

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

sklearn/gaussian_process/tests/test_gpr.py::test_gpr_predict_input_not_modified
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/_gpr.py:477: UserWarning: Predicted variances smaller than 0. Setting those variances to 0.
    warnings.warn(

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

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

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

sklearn/impute/tests/test_impute.py: 34 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/impute/_iterative.py:825: ConvergenceWarning: [IterativeImputer] Early stopping criterion not reached.
    warnings.warn(

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

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

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

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

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

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

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

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

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

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

sklearn/linear_model/tests/test_coordinate_descent.py: 54 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-15, tolerance: 1.404036409324171e-15
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3.552713678800501e-15, tolerance: 1.404036409324171e-15
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/linear_model/tests/test_coordinate_descent.py: 38 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-15, tolerance: 1.285830869609557e-15
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3.552713678800501e-15, tolerance: 1.285830869609557e-15
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/linear_model/tests/test_coordinate_descent.py: 44 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-15, tolerance: 1.4340335165128712e-15
    model = cd_fast.enet_coordinate_descent_gram(

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

sklearn/linear_model/tests/test_coordinate_descent.py: 40 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-15, tolerance: 1.4257797990385122e-15
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/linear_model/tests/test_coordinate_descent.py: 32 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-15, tolerance: 1.3875425663975807e-15
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3.552713678800501e-15, tolerance: 1.3875425663975807e-15
    model = cd_fast.enet_coordinate_descent_gram(

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

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

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7.105427357601002e-15, tolerance: 1.404036409324171e-15
    model = cd_fast.sparse_enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3.552713678800501e-15, tolerance: 1.285830869609557e-15
    model = cd_fast.sparse_enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-15, tolerance: 1.285830869609557e-15
    model = cd_fast.sparse_enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3.552713678800501e-14, tolerance: 1.285830869609557e-15
    model = cd_fast.sparse_enet_coordinate_descent(

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

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3.019806626980426e-14, tolerance: 1.4340335165128712e-15
    model = cd_fast.sparse_enet_coordinate_descent(

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

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

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6.217248937900877e-14, tolerance: 1.4257797990385122e-15
    model = cd_fast.sparse_enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5.5067062021407764e-14, tolerance: 1.4257797990385122e-15
    model = cd_fast.sparse_enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5.684341886080802e-14, tolerance: 1.4257797990385122e-15
    model = cd_fast.sparse_enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4.796163466380676e-14, tolerance: 1.4257797990385122e-15
    model = cd_fast.sparse_enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.0658141036401503e-14, tolerance: 1.4257797990385122e-15
    model = cd_fast.sparse_enet_coordinate_descent(

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

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

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

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-ElasticNet-params5]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-ElasticNet-params5]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8.519405806421231, tolerance: 1.738326821656069e-15
    model = cd_fast.sparse_enet_coordinate_descent(

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

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

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

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

sklearn/linear_model/tests/test_coordinate_descent.py::test_multitask_enet_and_lasso_cv
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:2639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 2.5515863893489223, tolerance: 2.1444555087788624
    ) = cd_fast.enet_coordinate_descent_multi_task(

sklearn/linear_model/tests/test_coordinate_descent.py::test_multitask_enet_and_lasso_cv
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:2639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 2.173006581650192, tolerance: 2.1444555087788624
    ) = cd_fast.enet_coordinate_descent_multi_task(

sklearn/linear_model/tests/test_coordinate_descent.py::test_check_input_false
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:697: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.109e-07, tolerance: 1.896e-07
    model = cd_fast.enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_check_input_false
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:697: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.706e-07, tolerance: 1.972e-07
    model = cd_fast.enet_coordinate_descent(

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

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

sklearn/linear_model/tests/test_coordinate_descent.py::test_check_input_false
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:697: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.707e-07, tolerance: 1.215e-07
    model = cd_fast.enet_coordinate_descent(

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

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

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

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

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

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

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

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

sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized[wide-42-True-cholesky]
sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[wide-42-True-cholesky]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:253: LinAlgWarning: Ill-conditioned matrix (rcond=3.98386e-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_ridge_regression_unpenalized_vstacked_X[wide-42-True-cholesky]
sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-False-cholesky]
sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeClassifierCV-3]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:255: UserWarning: Singular matrix in solving dual problem. Using least-squares solution instead.
    warnings.warn(

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

sklearn/model_selection/tests/test_search.py::test_custom_run_search
sklearn/model_selection/tests/test_successive_halving.py::test_nan_handling[fit-HalvingRandomSearchCV]
sklearn/model_selection/tests/test_successive_halving.py::test_nan_handling[predict-HalvingGridSearchCV]
sklearn/model_selection/tests/test_successive_halving.py::test_nan_handling[predict-HalvingRandomSearchCV]
sklearn/model_selection/tests/test_successive_halving.py::test_min_max_resources[smallest-auto-2-4-expected_n_resources0-HalvingGridSearchCV]
  /usr/lib64/python3.13/site-packages/numpy/ma/core.py:2820: RuntimeWarning: invalid value encountered in cast
    _data = np.array(data, dtype=dtype, copy=copy,

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

sklearn/neural_network/tests/test_mlp.py: 12 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neural_network/_multilayer_perceptron.py:545: ConvergenceWarning: lbfgs failed to converge (status=1):
  STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.
  
  Increase the number of iterations (max_iter) or scale the data as shown in:
      https://scikit-learn.org/stable/modules/preprocessing.html
    self.n_iter_ = _check_optimize_result("lbfgs", opt_res, self.max_iter)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006076933278707508, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006516772094170564, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006916869207371779, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00072822782338966, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007609219502512365, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007894792377674265, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008136999927896571, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008334724342997091, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008487677112913039, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008596329247329837, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008661826900739356, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008685897580841817, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

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

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008618983558484894, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008533475420064995, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008417307081685921, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

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

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

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007916931166833951, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007710173895061068, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.000748855564259715, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007254939244647901, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007012007266828796, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006762244102446052, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006507924977437463, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006251110891998535, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005993648542919477, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005737174313661803, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005483121488575327, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005232729927342472, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0004987057525280003, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0004746992876414058, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00045132686442903025, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00042864752310664556, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00040670744120069324, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00038554126732322225, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0003651734051621919, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04035513072498542, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0773931057016215, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09902515325135663, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11518341998168857, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.12984038092936245, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1443677213209904, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1592099063083552, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.17448303501279483, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19018272764259336, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.20625795624130827, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.22263859368161754, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.23924660775339035, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.25600128314080184, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2728221436888445, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.28963089256408026, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.30635284588907297, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.32291803203493696, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.33926202144709805, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.355326516890103, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.37105972538398113, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.38641653339213855, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.40135850928134387, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.4158537591795577, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.42987666328300644, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.44340751929655875, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.45643211820950347, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.46894127529388996, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.4809303363707338, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.4923986762819923, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5033492033669349, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5137878807314165, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5237232723443741, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

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

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5421289515803487, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5506257316836964, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.558671539615069, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5662822895504362, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5734744822045674, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5802649891424183, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5866708669860365, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5927091990239655, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5983969616551539, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6037509131153151, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6087875020228113, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6135227934126801, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6179724100829826, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6221514872567311, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6260746387433018, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6297559329634392, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6332088773749951, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6364464100052696, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6394808969442338, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6423241347969806, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6449873572211868, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6474812447870142, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6498159375073227, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6520010494688053, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.654045685077886, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0033973144978034497, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.02004883811054281, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.025541531207327495, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.028894092102574653, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03192449250641438, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03490683655472093, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.037871226543455094, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04080995267698917, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04371026754195473, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04655981455799996, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04934758250132543, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05206407610912134, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.054701322163716704, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05725282257210473, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0597134791522862, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.062079499345469635, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06434828891725797, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.07263247515648352, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.07717723067374038, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.08020143195953366, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.08276447207213078, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.08511690453330623, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.08732063451582484, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.08939355028013729, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09134338050750834, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09317565303737751, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09489553166002551, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09650819456469328, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0980188686258705, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09943278863974214, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1007551466517036, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10199104663135738, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10314546740945296, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1042232337288338, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10522899453687451, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10616720751846742, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10704212890944387, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10785780770904374, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10861808350530744, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10932658722159516, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10998674418415355, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11060177899430723, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11117472176755427, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11170841537183573, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11220552335907641, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11266853833877732, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11309979058956188, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1135014567460102, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11387556843087498, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11422402073433524, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11454858046342942, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11485089410777505, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11513249548161486, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11539481301524379, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11563917668667667, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11586682457842556, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11607890906676843, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11627650264637257, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11646060339764652, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11663214011139811, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11679197708449962, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1169409185982424, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11707971309892962, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1172090570981128, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11732959880179017, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11744194149350928, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11754664667894232, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11764423701255033, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11773519902101626, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

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

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

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

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0018789191204375277, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0018738259168478155, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0018351321319093339, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

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

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0017331374953168666, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0016739142170384136, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.001611231418200576, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.001546292755808587, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0014800943557782276, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.001413455265125818, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0013470437067339691, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0012813996993949472, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0012169545310702912, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0011540475087362112, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0010929403521547365, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0010338295502070327, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0009768569561217078, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0009221188612074382, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008696737548036237, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008195489504612408, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007717462343129616, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007262466707391446, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006830146822992544, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

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

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

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005663876478951835, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005316475354104483, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0004988511543336516, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00046791929615089267, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00043877134470710066, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00041132624976820964, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00038550332048911673, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0003612228658941008, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00498628090906017, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09643621762328713, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1760950862385311, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.22927967012756323, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.26213132956969964, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.28134747630124934, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.29175673828637727, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2965432830629826, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2977501511209084, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2966791357379366, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

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

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2907328896963035, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2867414272428741, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2824176858810503, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.27791653294447904, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.273343864387285, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2687732692374487, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

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

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2598305546656139, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.25552139487612635, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2513475342968743, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.24732168786363662, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.24345222776748088, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.23974418329660896, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.23619998135850828, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.23282000952209536, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.22960305400871217, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.22654664684814563, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2236473450529859, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.22090095749617777, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.21830273058079808, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

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

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.21352982026155853, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

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

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

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2073453703697572, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.20552096395720465, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2038056245148443, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.20219381106938084, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2006801202326507, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19925930770147993, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19792630428072044, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19667622732876033, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19550438839839668, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19440629772312956, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19337766611013496, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19241440471400928, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19151262309241446, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19066862588686195, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1898789084176249, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18914015143719087, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1884492152455861, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18780313333994147, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1871991057478457, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.186634492150211, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18610680490977316, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1856137020664148, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18515298039013928, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1847225685125986, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18432052021020695, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1839450078510989, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18359431604278775, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.039842684284843166, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.058510814772175124, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0651363135630163, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06742419289123358, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06808786689476687, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06802484903315875, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06755324525423756, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06680821098225653, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06586390877525972, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06477098619775301, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06356849852380986, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06228810411039021, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.060955876983946666, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.059593336798026364, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05821818006137036, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05684486444106973, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05548509870908713, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.059822391141633346, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06252617668814064, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06246308079234719, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06157604152733498, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06045585612969262, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0592828081309289, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.058114388450589693, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05697091557796785, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.055860928371012086, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05478879013877336, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05375704137614967, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.052767192415460684, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05182004299264875, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05091585005548449, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05005443995978709, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049235294827425946, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04845762313939961, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04772041866997956, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04702250996034607, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04636260183609764, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045739310150792356, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045151190742758196, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04459676344851804, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044074531896315605, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0435829997029602, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04312068361222021, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04268612403616956, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04227789339801458, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04189460261828337, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.041534906037542285, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04119750502866815, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04088115051391661, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04058464457179323, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04030684129060358, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04004664700530025, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03980302003001235, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03957496998557897, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0393615568031338, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0391618894741681, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03897512460681973, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.038800464835798465, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.038637157129160826, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0384844910249873, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03834179683010852, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.038208443796264646, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03808383830309303, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03796742205699832, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03785867031939283, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03775709017615725, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0376622188536615, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.037573622088366676, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03749089255495264, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03741364835416938, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03734153156217168, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_gram(

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

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

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006076933278706953, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006516772094167789, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006916869207376775, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007282278233887163, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007609219502489328, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007894792377673987, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008136999927910726, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008334724343006528, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008487677112918035, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008596329247327894, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00086618269007388, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008685897580831548, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008670751690545986, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008618983558472959, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008533475420064718, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008417307081671765, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008273673282847283, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008105810103087863, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007916931166829788, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007710173895051908, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007488555642592709, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007254939244672048, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007012007266826437, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.000676224410244064, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006507924977417062, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006251110892006029, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005993648542919477, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005737174313651394, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005483121488583653, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005232729927343999, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0004987057525296379, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0004746992876410311, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0004513268644287527, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0004286475231077419, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00040670744120206714, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.000385541267322112, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00036517340516313557, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0403551307249872, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.07739310570162417, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09902515325135575, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11518341998168768, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.12984038092936245, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1443677213209904, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.15920990630836052, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1744830350128046, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19018272764259336, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2062579562413127, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2226385936816282, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.23924660775338857, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2560012831408187, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2728221436888383, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.28963089256405894, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.30635284588905964, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.3229180320349476, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.33926202144707673, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.35532651689009676, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.37105972538397225, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.3864165333921119, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.4013585092813621, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.4158537591795315, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.4298766632829931, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.4434075192965654, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.45643211820953455, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.46894127529385177, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.4809303363707613, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.4923986762820687, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5033492033670104, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5137878807314427, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5237232723443435, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5331661195589654, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5421289515803487, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5506257316836076, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5586715396151534, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5662822895502653, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5734744822045625, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.58026498914256, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5866708669859966, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5927091990238686, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5983969616553719, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6037509131152485, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6087875020226923, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6135227934126806, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6179724100828761, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6221514872567444, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6260746387432592, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6297559329634286, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.63320887737498, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6364464100049965, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6394808969441503, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6423241347969553, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6449873572211047, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6474812447871949, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6498159375073822, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.652001049468065, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6540456850784051, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.003397314497804338, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

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

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.025541531207331047, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.028894092102577318, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03192449250641527, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0349068365547236, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03787122654345598, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04080995267698739, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043710267541955616, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04655981455800173, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04934758250132543, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05206407610912667, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05470132216371493, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.057252822572109174, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05971347915229508, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06207949934546697, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06434828891725797, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0726324751564853, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.07717723067374749, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.08020143195954965, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.08276447207213433, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.08511690453330978, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.08732063451580974, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.08939355028012663, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09134338050754387, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09317565303739261, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09489553166002196, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09650819456469417, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09801886862588471, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09943278863974836, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10075514665167606, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10199104663138758, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10314546740944763, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.104223233728856, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10522899453685408, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10616720751838482, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10704212890942522, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1078578077091068, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10861808350532165, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10932658722161204, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10998674418420151, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11060177899429302, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11117472176752763, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11170841537178067, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11220552335909861, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11266853833880042, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11309979058957786, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11350145674595957, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1138755684309185, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11422402073443116, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11454858046359462, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11485089410794647, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11513249548168947, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11539481301531751, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11563917668670953, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11586682457831632, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11607890906692653, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11627650264641165, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11646060339770781, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11663214011151801, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11679197708462574, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11694091859826994, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11707971309896248, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11720905709797691, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11732959880179106, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11744194149381659, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11754664667868742, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1176442370131241, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11773519902103668, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0018789191204380828, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0018738259168481486, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0018351321319092506, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.001787454724806986, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00173313749531806, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0016739142170393295, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0016112314182010479, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0015462927558093364, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0014800943557786994, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0014134552651258736, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0013470437067329977, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0012813996993944754, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0012169545310702912, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0011540475087352675, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0010929403521539038, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0010338295502072548, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.000976856956122485, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0009221188612076187, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008696737548034017, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008195489504606301, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007717462343120596, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007262466707410736, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006830146822992822, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006420015051585293, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006031481076802514, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005663876478954333, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005316475354104344, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0004988511543337903, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00046791929615151717, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00043877134470760026, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00041132624976771004, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0003855033204897551, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00036122286589476693, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.004986280909063723, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09643621762329335, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.17609508623852932, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.22927967012756323, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.26213132956970675, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.281347476301252, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.29175673828637194, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2965432830629986, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2977501511209084, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.29667913573793747, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.29416165410729267, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.29073288969630084, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.28674142724289986, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2824176858810512, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.27791653294447904, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2733438643872832, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2687732692374416, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.26425656719773194, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2598305546656041, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.25552139487614234, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2513475342968645, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.24732168786366326, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.24345222776744446, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2397441832966125, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.23619998135847986, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2328200095221069, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.22960305400877878, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2265466468480959, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.22364734505298234, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.22090095749610938, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.21830273058075989, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.21584750079803605, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.21352982026156386, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.21134405993278627, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2092844942762957, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2073453703698318, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.20552096395713715, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.20380562451490292, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.20219381106945722, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2006801202325521, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19925930770146127, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19792630428061564, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1966762273288598, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1955043883985743, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1944062977231269, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19337766611010476, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1924144047140306, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19151262309255035, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19066862588670563, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1898789084176995, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18914015143755503, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18844921524568647, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18780313334019194, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18719910574775245, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.186634492150211, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18610680490906528, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1856137020664379, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18515298039030537, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1847225685126288, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1843205202099103, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18394500785135026, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1835943160423259, tolerance: 0.001155665189433114
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03984268428484139, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05851081477217601, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06513631356301719, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06742419289123358, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06808786689476243, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06802484903315964, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06755324525423845, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06680821098226097, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06586390877526238, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06477098619775923, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06356849852380542, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.062288104110391096, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06095587698394134, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05959333679803347, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05821818006137214, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05684486444107417, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05548509870908003, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.059822391141634235, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06252617668814686, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.062463080792375614, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.061576041527336756, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06045585612968818, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05928280813091735, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05811438845059502, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.056970915577970516, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.055860928371032514, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05478879013877336, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05375704137617543, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0527671924154447, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.051820042992632764, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05091585005553423, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05005443995978531, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0492352948273993, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04845762313938984, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.047720418669976006, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04702250996032653, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04636260183610119, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04573931015077637, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045151190742749314, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04459676344859709, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04407453189638133, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04358299970296553, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04312068361217669, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04268612403616068, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.042277893398073196, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0418946026183038, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04153490603750498, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04119750502867259, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.040881150513977005, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04058464457179234, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.040306841290600914, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04004664700519722, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03980302002996439, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03957496998564647, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03936155680321285, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03916188947415922, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03897512460691743, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03880046483583577, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.038637157128903254, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03848449102527329, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03834179683028083, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.038208443796367675, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03808383830317652, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.037967422056920164, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03785867031948342, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.037757090176290475, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03766221885356291, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.037573622088342695, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03749089255514981, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03741364835441896, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03734153156241504, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[Nystroem()]
sklearn/tests/test_common.py::test_transformers_get_feature_names_out[Nystroem()]
sklearn/tests/test_common.py::test_set_output_transform[Nystroem()]
sklearn/tests/test_common.py::test_set_output_transform[Nystroem()]
sklearn/tests/test_common.py::test_set_output_transform[Nystroem()]
sklearn/tests/test_common.py::test_set_output_transform[Nystroem()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/kernel_approximation.py:1008: UserWarning: n_components > n_samples. This is not possible.
  n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
    warnings.warn(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[QuadraticDiscriminantAnalysis()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/discriminant_analysis.py:947: UserWarning: Variables are collinear
    warnings.warn("Variables are collinear")

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[QuantileTransformer()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2785: UserWarning: n_quantiles (1000) is greater than the total number of samples (10). n_quantiles is set to n_samples.
    warnings.warn(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[SGDOneClassSVM()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_stochastic_gradient.py:2542: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
    warnings.warn(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[SelfTrainingClassifier(base_estimator=LogisticRegression(C=1))]
sklearn/tests/test_metaestimators.py::test_metaestimator_delegation
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/semi_supervised/_self_training.py:227: UserWarning: y contains no unlabeled samples
    warnings.warn("y contains no unlabeled samples", UserWarning)

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[TheilSenRegressor()]
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[TheilSenRegressor()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor.
    warnings.warn(

sklearn/tests/test_common.py::test_transformers_get_feature_names_out[Isomap()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/manifold/_isomap.py:383: UserWarning: The number of connected components of the neighbors graph is 2 > 1. Completing the graph to fit Isomap might be slow. Increase the number of neighbors to avoid this issue.
    self._fit_transform(X)

sklearn/tests/test_common.py::test_transformers_get_feature_names_out[QuantileTransformer()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2785: UserWarning: n_quantiles (1000) is greater than the total number of samples (30). n_quantiles is set to n_samples.
    warnings.warn(

sklearn/tests/test_common.py::test_f_contiguous_array_estimator[Isomap]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/manifold/_isomap.py:359: UserWarning: The number of connected components of the neighbors graph is 3 > 1. Completing the graph to fit Isomap might be slow. Increase the number of neighbors to avoid this issue.
    self._fit_transform(X)

sklearn/tests/test_common.py::test_set_output_transform[QuantileTransformer()]
sklearn/tests/test_common.py::test_set_output_transform[QuantileTransformer()]
sklearn/tests/test_common.py::test_set_output_transform[QuantileTransformer()]
sklearn/tests/test_common.py::test_set_output_transform[QuantileTransformer()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2785: UserWarning: n_quantiles (1000) is greater than the total number of samples (20). n_quantiles is set to n_samples.
    warnings.warn(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.013600403306909925, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03665116082127895, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.040332571379138926, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.042338287573556954, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04399714422718404, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0453915031566936, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0465516514831279, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.047504257032187525, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048273864880030715, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04888295807548815, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049352014011212475, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04969958357786908, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04994238724836464, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05009542273018752, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0501720797127021, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05018425804283311, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05014248637937868, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05005603901086175, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04993304906687257, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04978061682044199, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04960491216844787, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04941127070071616, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049204283028323914, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04898787725279874, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04876539461866969, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048539658515885264, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04831303709105583, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04808749978929683, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04786466819177093, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04764586153766004, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.047432137330169155, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04722432742701699, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04702307000637518, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.046828837784730126, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04664196284642941, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.046462658422100844, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.046291037930259904, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.046127131574024816, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04597090076057242, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04582225058630485, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045681040612699064, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04554709413275759, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04542020610769981, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04530014993862608, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04518668321887276, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045079552594614825, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044978497847893095, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04488325531233528, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04479356069947471, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04470915142413645, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044629768498204214, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04455515804885124, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044485072521489144, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044419271609719146, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04435752295592721, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04429960265618149, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04424529560595403, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04419439569975481, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04414670592716874, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04410203836864213, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044060214116868224, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04402106313521159, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043984424067019745, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043950144009222925, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04391807825059857, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043888089987724754, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0438600500359243, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043833836517656266, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043809334549294476, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04378643592678344, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04376503881808702, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04374504744347263, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04372637178159522, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04370892726333864, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04369263448816696, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04367741894232324, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043663210732589164, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04364994432637559, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04363755829844962, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04362599509759946, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04361520082290582, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043605125003821854, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043595720392701764, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04358694277378561, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04357875078245854, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04357110572059497, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043563971406797464, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.02242199605876749, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048236309604121175, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.051523864985554724, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05256396561011911, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.053171065529802775, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.053492207955301296, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.053581471926975155, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05348196852555276, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0532302264104203, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.052857208749458096, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05238909528273439, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0518479560012608, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05125233361101067, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.050617746951573395, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04995712587911072, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04928118674135362, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04859875636763178, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04791705145458991, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.047241919318864234, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04657804520030595, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045929130613082236, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045298046647445744, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044686965607589, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04409747392097785, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04353066886611856, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04298724132526388, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04246754647536477, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04197166407423225, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.041499449778804376, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.041050578738079935, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04062458253694956, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04022088042297156, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03983880562223874, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03947762743804617, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03913656974014401, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03881482635754452, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03851157382970172, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03822598190090787, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03795722209190444, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03770447463742954, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03746693403578405, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0372438134271178, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03703434797959915, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03683779744266502, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03665344800307224, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.036480613557998254, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03631863650384304, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.036166888126722085, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03602476866514337, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03589170710673528, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03576716077166964, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03565061472385622, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.035541581053728066, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.035439598053955024, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0353442293267463, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03525506283278901, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03517170990682672, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03509380425819586, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.035021000956639625, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034952975429632716, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034889422462271114, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034830055225448575, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03477460431757606, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03472281683969669, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034674455497992085, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03462929774021717, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03458713492490517, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03454777152528976, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03451102436820719, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03447672191178697, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034444703548167865, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0344148189593767, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034386927477925155, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034360897515874456, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03433660599020527, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03431393780997638, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034292785363390976, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03427304806398013, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03425463189769573, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03423744900828041, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03422141730968775, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0342064601074199, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03419250576637012, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034179487376270856, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0341673424400355, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034156012612037046, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03414544339510428, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.013600403306895714, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03665116082125763, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.040332571379138926, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.042338287573571165, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04399714422719114, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04539150315670071, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04655165148310658, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04750425703222305, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048273864880030715, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04888295807550236, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04935201401121958, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04969958357781934, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049942387248385955, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05009542273020173, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05017207971273052, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.050184258042826, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05014248637936447, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.050056039010840436, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04993304906682994, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04978061682044199, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04960491216853313, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0494112707007659, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04920428302829549, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04898787725284137, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04876539461872653, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04853965851589237, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048313037090991884, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04808749978928972, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.047864668191827775, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04764586153771688, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04743213733014784, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04722432742707383, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04702307000646755, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04682883778475855, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04664196284642941, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.046462658422044, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04629103793020306, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.046127131574039026, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04597090076050847, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045822250586340374, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045681040612791435, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04554709413267233, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04542020610763586, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04530014993859055, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04518668321902908, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045079552594458505, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044978497847878884, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04488325531238502, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04479356069944629, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04470915142435672, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04462976849799105, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044555158049107035, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04448507252151046, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04441927160908676, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04435752295567852, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04429960265660071, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04424529560612456, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04419439569978323, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0441467059272469, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04410203836864923, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044060214116804275, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044021063135019745, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043984424066444205, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043950144009627934, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043918078249625125, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04388808998825766, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0438600500356543, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043833836517734426, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0438093345477526, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0437864359271245, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04376503881912441, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043745047444645024, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04372637178103389, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04370892726281994, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04369263448772642, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04367741894209587, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043663210733022595, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043649944327654566, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04363755829854199, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04362599509913423, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0436152008245827, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04360512500426239, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043595720391238046, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043586942773373494, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043578750784490694, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04357110572336609, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04356397140976753, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0224219960587817, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04823630960411407, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.051523864985554724, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05256396561011911, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.053171065529831196, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05349220795529419, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05358147192696805, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05348196852553144, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.053230226410398984, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.052857208749458096, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.052389095282741494, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.051847956001232376, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.051252333611017775, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05061774695152366, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049957125879103614, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04928118674135362, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04859875636764599, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.047917051454582804, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04724191931887134, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04657804520024911, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045929130613039604, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04529804664749548, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0446869656075819, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04409747392096364, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04353066886610435, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.042987241325320724, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04246754647532214, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04197166407420383, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04149944977886122, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.041050578738079935, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0406245825368714, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04022088042303551, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03983880562216058, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.039477627438067486, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03913656974020796, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.038814826357565835, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03851157382969461, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03822598190089366, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.037957222091989706, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03770447463744375, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03746693403576984, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03724381342708938, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.037034347979542304, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03683779744270055, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03665344800317882, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03648061355809773, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03631863650374356, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03616688812655866, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03602476866501547, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03589170710682765, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.035767160771982276, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03565061472421149, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.035541581053855964, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03543959805428898, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.035344229327286314, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03525506283285296, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03517170990679119, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03509380425819586, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03502100095692384, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03495297542909981, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03488942246217164, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0348300552249583, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03477460431756896, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03472281684006617, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034674455498347356, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03462929774060086, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034587134925224916, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03454777152488475, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03451102436842035, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03447672191105511, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03444470354894946, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03441481895887222, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03438692747797489, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03436089751411231, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03433660599139188, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034313937809379524, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03429278536375335, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03427304806469067, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034254631898093635, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03423744900759118, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034221417308160085, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03420646010719253, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03419250576310162, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034179487373990014, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03416734243942443, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0341560126110565, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03414544339327108, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[QuantileTransformer()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2785: UserWarning: n_quantiles (1000) is greater than the total number of samples (100). n_quantiles is set to n_samples.
    warnings.warn(

sklearn/tests/test_config.py::test_config_threadsafe_joblib[multiprocessing]
sklearn/tests/test_config.py::test_config_threadsafe_joblib[multiprocessing]
sklearn/utils/tests/test_parallel.py::test_configuration_passes_through_to_joblib[multiprocessing-2]
sklearn/utils/tests/test_parallel.py::test_configuration_passes_through_to_joblib[multiprocessing-2]
  /usr/lib64/python3.13/multiprocessing/popen_fork.py:67: DeprecationWarning: This process (pid=13813) is multi-threaded, use of fork() may lead to deadlocks in the child.
    self.pid = os.fork()

sklearn/tests/test_discriminant_analysis.py::test_qda_regularization
sklearn/tests/test_discriminant_analysis.py::test_qda_regularization
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/discriminant_analysis.py:972: RuntimeWarning: invalid value encountered in multiply
    X2 = np.dot(Xm, R * (S ** (-0.5)))

sklearn/tests/test_metaestimators_metadata_routing.py::test_setting_request_on_sub_estimator_removes_error[HalvingRandomSearchCV]
sklearn/tests/test_metaestimators_metadata_routing.py::test_setting_request_on_sub_estimator_removes_error[HalvingRandomSearchCV]
sklearn/tests/test_metaestimators_metadata_routing.py::test_non_consuming_estimator_works[HalvingRandomSearchCV]
sklearn/tests/test_metaestimators_metadata_routing.py::test_metadata_is_routed_correctly_to_scorer[HalvingRandomSearchCV]
sklearn/tests/test_metaestimators_metadata_routing.py::test_metadata_is_routed_correctly_to_scorer[HalvingRandomSearchCV]
sklearn/tests/test_metaestimators_metadata_routing.py::test_metadata_is_routed_correctly_to_splitter[HalvingRandomSearchCV]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:320: UserWarning: The total space of parameters 2 is smaller than n_iter=8. Running 2 iterations. For exhaustive searches, use GridSearchCV.
    warnings.warn(

sklearn/tests/test_multiclass.py::test_constant_int_target[ones]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/multiclass.py:87: UserWarning: Label not 1 is present in all training examples.
    warnings.warn(

sklearn/tests/test_multiclass.py::test_constant_int_target[zeros]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/multiclass.py:87: UserWarning: Label not 0 is present in all training examples.
    warnings.warn(

sklearn/tests/test_multioutput.py::test_classifier_chain_vs_independent_models
sklearn/tests/test_multioutput.py::test_classifier_chain_vs_independent_models
sklearn/tests/test_multioutput.py::test_base_chain_crossval_fit_and_predict[classifier-predict]
sklearn/tests/test_multioutput.py::test_base_chain_crossval_fit_and_predict[classifier-predict_proba]
sklearn/tests/test_multioutput.py::test_base_chain_crossval_fit_and_predict[classifier-predict_log_proba]
sklearn/tests/test_multioutput.py::test_base_chain_crossval_fit_and_predict[classifier-decision_function]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Jaccard is ill-defined and being set to 0.0 in samples with no true or predicted labels. Use `zero_division` parameter to control this behavior.
    _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))

sklearn/tests/test_naive_bayes.py::test_alpha_vector
sklearn/tests/test_naive_bayes.py::test_alpha_vector
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/naive_bayes.py:620: UserWarning: alpha too small will result in numeric errors, setting alpha = 1.0e-10. Use `force_alpha=True` to keep alpha unchanged.
    warnings.warn(

sklearn/tree/tests/test_tree.py: 14 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/tree/_classes.py:1078: RuntimeWarning: divide by zero encountered in log
    proba[k] = np.log(proba[k])

sklearn/tree/tests/test_tree.py::test_big_input
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/_array_api.py:745: RuntimeWarning: overflow encountered in cast
    array = numpy.asarray(array, order=order, dtype=dtype)

sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None]
sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_matrix]
sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_array]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/tree/tests/test_tree.py:1788: RuntimeWarning: overflow encountered in cast
    data = np.nan_to_num(data.astype("float32"))

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

sklearn/utils/tests/test_estimator_checks.py: 14 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight.
    warnings.warn(str(exception), SkipTestWarning)

sklearn/utils/tests/test_estimator_checks.py: 16 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: pandas is not installed: not checking estimators for pandas objects.
    warnings.warn(str(exception), SkipTestWarning)

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: Skipping check_sample_weights_invariance for TaggedBinaryClassifier: zero sample_weight is not equivalent to removing samples
    warnings.warn(str(exception), SkipTestWarning)

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: Skipping check_sample_weights_invariance for SGDClassifier: zero sample_weight is not equivalent to removing samples
    warnings.warn(str(exception), SkipTestWarning)

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: array_api_compat is not installed: not checking array_api input
    warnings.warn(str(exception), SkipTestWarning)

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: array_api_strict is not installed: not checking array_api input
    warnings.warn(str(exception), SkipTestWarning)

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: cupy is not installed: not checking array_api input
    warnings.warn(str(exception), SkipTestWarning)

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: cupy.array_api is not installed: not checking array_api input
    warnings.warn(str(exception), SkipTestWarning)

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: torch is not installed: not checking array_api input
    warnings.warn(str(exception), SkipTestWarning)

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: ExtraTreesClassifier does not have a decision_function method.
    warnings.warn(str(exception), SkipTestWarning)

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: Skipping check_sample_weights_invariance for MiniBatchKMeans: zero sample_weight is not equivalent to removing samples
    warnings.warn(str(exception), SkipTestWarning)

sklearn/utils/tests/test_optimize.py::test_newton_cg_verbosity[2]
sklearn/utils/tests/test_optimize.py::test_newton_cg_verbosity[2]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/optimize.py:311: UserWarning: Line Search failed
    warnings.warn("Line Search failed")

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
= 29596 passed, 4584 skipped, 53 deselected, 91 xfailed, 50 xpassed, 4314 warnings in 358.77s (0:05:58) =
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.
+ popd
~/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2
+ RPM_EC=0
++ jobs -p
+ exit 0
Processing files: python3-scikit-learn-1.5.2-4.fc42.x86_64
Executing(%doc): /bin/sh -e /var/tmp/rpm-tmp.YYenqq
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build
+ cd scikit_learn-1.5.2
+ DOCDIR=/builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/share/doc/python3-scikit-learn
+ export LC_ALL=C.UTF-8
+ LC_ALL=C.UTF-8
+ export DOCDIR
+ /usr/bin/mkdir -p /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/share/doc/python3-scikit-learn
+ cp -pr /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/examples /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/share/doc/python3-scikit-learn
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%license): /bin/sh -e /var/tmp/rpm-tmp.R4GlAW
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build
+ cd scikit_learn-1.5.2
+ LICENSEDIR=/builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/share/licenses/python3-scikit-learn
+ export LC_ALL=C.UTF-8
+ LC_ALL=C.UTF-8
+ export LICENSEDIR
+ /usr/bin/mkdir -p /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/share/licenses/python3-scikit-learn
+ cp -pr /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/COPYING /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/share/licenses/python3-scikit-learn
+ cp -pr /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/svm/src/liblinear/COPYRIGHT /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/share/licenses/python3-scikit-learn
+ RPM_EC=0
++ jobs -p
+ exit 0
Provides: python-scikit-learn = 1.5.2-4.fc42 python-sklearn = 1.5.2-4.fc42 python3-scikit-learn = 1.5.2-4.fc42 python3-scikit-learn(x86-64) = 1.5.2-4.fc42 python3.13-scikit-learn = 1.5.2-4.fc42 python3.13-sklearn = 1.5.2-4.fc42 python3.13dist(scikit-learn) = 1.5.2 python3dist(scikit-learn) = 1.5.2
Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PartialHardlinkSets) <= 4.0.4-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1
Requires: 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_3.4.29)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(64bit) python(abi) = 3.13 python3.13dist(joblib) >= 1.2 python3.13dist(numpy) >= 1.19.5 python3.13dist(scipy) >= 1.6 python3.13dist(threadpoolctl) >= 3.1 rtld(GNU_HASH)
Obsoletes: python-sklearn < 1.5.2-4.fc42 python3-scikit_learn < 1.5.2-2
Processing files: python-scikit-learn-debugsource-1.5.2-4.fc42.x86_64
Provides: python-scikit-learn-debugsource = 1.5.2-4.fc42 python-scikit-learn-debugsource(x86-64) = 1.5.2-4.fc42
Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1
Processing files: python3-scikit-learn-debuginfo-1.5.2-4.fc42.x86_64
Provides: debuginfo(build-id) = 0902937a078c97987987b0d9ae19d896f58b2595 debuginfo(build-id) = 0946bd549e1a094645763103b2c46fdd9549fca2 debuginfo(build-id) = 0a68334789d04e6d70b6ad71bd643bce1d7b3df6 debuginfo(build-id) = 0ae363f621b7a29b65ec91b9dd1a81df74f0323a debuginfo(build-id) = 0c155e1b9a0cc3dd863c5b2dc797cd0923745753 debuginfo(build-id) = 0d5afe4348dce9ef0c6d11a97e9953e59b64f85e debuginfo(build-id) = 0fc8ee0256c2224c344fcf94a4eb720c7ede234c debuginfo(build-id) = 170d0ab1a2611b08046a8bc5c6233986ea604d0f debuginfo(build-id) = 1a3f0182a03c23ef0e516f35dd6bbce548a214b6 debuginfo(build-id) = 1cc2d9320f8da39b7823f9a16b4eac0a9de6a6ce debuginfo(build-id) = 267c5dc2604cf16c4c78fea0eb8ec6ac5af437fc debuginfo(build-id) = 2718bf0c83cee5770020d1257d971e06b5895fe3 debuginfo(build-id) = 28dec398932018a4d6178e2a5f93aae1eb538fc6 debuginfo(build-id) = 2ae617b1a8c9b256b2487bf6044ce253c4883b54 debuginfo(build-id) = 32c8533f840691f12db11cfeb342e7cfe405c704 debuginfo(build-id) = 34af9374cace6d18f9e639259ea1fc595d97df64 debuginfo(build-id) = 36826c13640c36e68ff556a7192677350775f8e6 debuginfo(build-id) = 36d19c2fd64e4d6cf906455e054640b72267c28e debuginfo(build-id) = 3801760ef218fc4811a0de9fbf300498c22c016f debuginfo(build-id) = 46c36f76dd7c06a6fa232157a24dd4363cbc479f debuginfo(build-id) = 49bfeef98a9cf1424eea1ff62422c90f5fe38915 debuginfo(build-id) = 4d1e2ec9fe5df586d9dff2dab35333726bb4148c debuginfo(build-id) = 521ec7495c3bb8b9795c6e067e9ced9e895399ec debuginfo(build-id) = 5390a0512697acf3559bdd97a154e69544a6f768 debuginfo(build-id) = 57caabb5dd07fb34ec2b143ec67af640e402b4cf debuginfo(build-id) = 5856b4fe5a0670100a53064048ad75555af45e36 debuginfo(build-id) = 5c9977f587b9061bbafc3affc890769c446b6c69 debuginfo(build-id) = 5e3cbf7cb0889027dcd2967f999ba469987ecdd5 debuginfo(build-id) = 68e9382eb7a3f031a373e5c4fea6a003bb7dc93c debuginfo(build-id) = 6ab63ea2093c63673ff574900db600ad15e48fb5 debuginfo(build-id) = 6b93f80f7ea610c60218168c220732533063385e debuginfo(build-id) = 6c8384946a47ccb84c5a059e5c9c9c50c3a3cf49 debuginfo(build-id) = 7687c6601c64fe36c886a42063d6b5c326b2eafa debuginfo(build-id) = 77c6d9bb9b124dc983c3c39aca17df83ccfde53d debuginfo(build-id) = 7ac092922654abbe18360d9336540d5fe88b2f5b debuginfo(build-id) = 82ce43e9c85c46e49d231bda62fb482d00066f4e debuginfo(build-id) = 8360eafda754d9de4857e9ed45ddf11d2397355b debuginfo(build-id) = 85d8803910a196ceb262c81746a92f49a349a01a debuginfo(build-id) = 85facdb21674a3daeb801f30405e1d28dc68c504 debuginfo(build-id) = 869603412d48e377e54cfdac078ad97378f09865 debuginfo(build-id) = 870afa34d1671cd6477d64e5a18494d8826fadd1 debuginfo(build-id) = 91ae16e327aacfaf13685d7716270029c42e9c6e debuginfo(build-id) = 93e267e338c2164a172771218a07a8e14f36ad21 debuginfo(build-id) = 954181417896f2c43f62414e757f829a23c7c61c debuginfo(build-id) = 9698e832a1586df2310c62a8f1cb579b5dbb0a08 debuginfo(build-id) = 9c7735e1d8ae75f71be36abf7afc2ad523444473 debuginfo(build-id) = a2b30ef69689b193c3e75cf44d8e92bbabf0f043 debuginfo(build-id) = a86c635e612b0230e135b58dcaf80827eaeb137d debuginfo(build-id) = a8b8fced42a65c53c7aea3a3922cb37a921d87c6 debuginfo(build-id) = b278979f642e1320be021b409c0869b363f4c647 debuginfo(build-id) = b3659fefa2ae94a1b3fc8c0dde3b7222fd58d667 debuginfo(build-id) = b4d91133d9228563bbfd37bb01cebbe73286ca4c debuginfo(build-id) = b59766201228ac6d8ce7f26d75f2621a8951faf5 debuginfo(build-id) = b811698d20da8b00c789514cc47c1c40b62ddc41 debuginfo(build-id) = bcea8716f4fc51256e5fbb7ab964be1f1cdff013 debuginfo(build-id) = bf7152d138f8cb16b79f9e271a9d5650dea14ea5 debuginfo(build-id) = c5010b464debe732700b24b4654e600b81bf499e debuginfo(build-id) = d65a53b737afaeac0eb89031f9aafeda7eb00eaf debuginfo(build-id) = d758f67080cc1436072150a5d43e488c1ee30fce debuginfo(build-id) = d75ee9243a4a3eb18bea871929164bf2b5e37235 debuginfo(build-id) = d84c3f115044003328764c7c468f564fe47d9bee debuginfo(build-id) = da68e40a99d261536e12bb319eb6096f973d3d92 debuginfo(build-id) = e35abd715a7afaae666ac9d35d132c4e5e1f2c1a debuginfo(build-id) = e8845ba824f3977e11814c5b18e3ab47986a1485 debuginfo(build-id) = ef0ff946ada84569c496e04b2fc3c733d7265668 debuginfo(build-id) = f571d81ac6fcd4287a6479be42c0b4da1bc2a47d debuginfo(build-id) = ffa8bd4526ef104567351ce72a47e6f2738d6ce7 python-scikit-learn-debuginfo = 1.5.2-4.fc42 python3-scikit-learn-debuginfo = 1.5.2-4.fc42 python3-scikit-learn-debuginfo(x86-64) = 1.5.2-4.fc42 python3.13-scikit-learn-debuginfo = 1.5.2-4.fc42
Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1
Recommends: python-scikit-learn-debugsource(x86-64) = 1.5.2-4.fc42
Checking for unpackaged file(s): /usr/lib/rpm/check-files /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT
Wrote: /builddir/build/SRPMS/python-scikit-learn-1.5.2-4.fc42.src.rpm
Wrote: /builddir/build/RPMS/python-scikit-learn-debugsource-1.5.2-4.fc42.x86_64.rpm
Wrote: /builddir/build/RPMS/python3-scikit-learn-1.5.2-4.fc42.x86_64.rpm
Wrote: /builddir/build/RPMS/python3-scikit-learn-debuginfo-1.5.2-4.fc42.x86_64.rpm
Executing(rmbuild): /bin/sh -e /var/tmp/rpm-tmp.i3UvvV
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build
+ test -d /builddir/build/BUILD/python-scikit-learn-1.5.2-build
+ /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w /builddir/build/BUILD/python-scikit-learn-1.5.2-build
+ rm -rf /builddir/build/BUILD/python-scikit-learn-1.5.2-build
+ RPM_EC=0
++ jobs -p
+ exit 0
Finish: rpmbuild python-scikit-learn-1.5.2-4.fc42.src.rpm
Finish: build phase for python-scikit-learn-1.5.2-4.fc42.src.rpm
INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan
INFO: /var/lib/mock/fedora-rawhide-x86_64-1731967467.082365/root/var/log/dnf5.log
INFO: chroot_scan: creating tarball /var/lib/copr-rpmbuild/results/chroot_scan.tar.gz
/bin/tar: Removing leading `/' from member names
INFO: Done(/var/lib/copr-rpmbuild/results/python-scikit-learn-1.5.2-4.fc42.src.rpm) Config(child) 13 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": "python3-scikit-learn",
            "epoch": null,
            "version": "1.5.2",
            "release": "4.fc42",
            "arch": "x86_64"
        },
        {
            "name": "python3-scikit-learn-debuginfo",
            "epoch": null,
            "version": "1.5.2",
            "release": "4.fc42",
            "arch": "x86_64"
        },
        {
            "name": "python-scikit-learn-debugsource",
            "epoch": null,
            "version": "1.5.2",
            "release": "4.fc42",
            "arch": "x86_64"
        },
        {
            "name": "python-scikit-learn",
            "epoch": null,
            "version": "1.5.2",
            "release": "4.fc42",
            "arch": "src"
        }
    ]
}
RPMResults finished