Warning: Permanently added '2620:52:3:1:dead:beef:cafe:c1ce' (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/8314801-fedora-rawhide-x86_64 --chroot fedora-rawhide-x86_64


Version: 1.2
PID: 8772
Logging PID: 8773
Task:
{'allow_user_ssh': False,
 'appstream': False,
 'background': True,
 'build_id': 8314801,
 'buildroot_pkgs': [],
 'chroot': 'fedora-rawhide-x86_64',
 'enable_net': False,
 'fedora_review': False,
 'git_hash': 'bee1235864fc5e1583f4ba1307cbfaaabda32812',
 'git_repo': 'https://copr-dist-git.fedorainfracloud.org/git/thrnciar/pytest-8.3.1/python-scikit-learn',
 'isolation': 'default',
 'memory_reqs': 2048,
 'package_name': 'python-scikit-learn',
 'package_version': '1.5.2-4',
 'project_dirname': 'pytest-8.3.1',
 'project_name': 'pytest-8.3.1',
 'project_owner': 'thrnciar',
 'repo_priority': None,
 'repos': [{'baseurl': 'https://download.copr.fedorainfracloud.org/results/thrnciar/pytest-8.3.1/fedora-rawhide-x86_64/',
            'id': 'copr_base',
            'name': 'Copr repository',
            'priority': None}],
 'sandbox': 'thrnciar/pytest-8.3.1--https://src.fedoraproject.org/user/sergiopr',
 'source_json': {},
 'source_type': None,
 'ssh_public_keys': None,
 'storage': None,
 'submitter': 'https://src.fedoraproject.org/user/sergiopr',
 'tags': [],
 'task_id': '8314801-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/pytest-8.3.1/python-scikit-learn /var/lib/copr-rpmbuild/workspace/workdir-ckvasfbt/python-scikit-learn --depth 500 --no-single-branch --recursive

cmd: ['git', 'clone', 'https://copr-dist-git.fedorainfracloud.org/git/thrnciar/pytest-8.3.1/python-scikit-learn', '/var/lib/copr-rpmbuild/workspace/workdir-ckvasfbt/python-scikit-learn', '--depth', '500', '--no-single-branch', '--recursive']
cwd: .
rc: 0
stdout: 
stderr: Cloning into '/var/lib/copr-rpmbuild/workspace/workdir-ckvasfbt/python-scikit-learn'...

Running: git checkout bee1235864fc5e1583f4ba1307cbfaaabda32812 --

cmd: ['git', 'checkout', 'bee1235864fc5e1583f4ba1307cbfaaabda32812', '--']
cwd: /var/lib/copr-rpmbuild/workspace/workdir-ckvasfbt/python-scikit-learn
rc: 0
stdout: 
stderr: Note: switching to 'bee1235864fc5e1583f4ba1307cbfaaabda32812'.

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 bee1235 automatic import of python-scikit-learn

Running: dist-git-client sources
/usr/bin/tail: /var/lib/copr-rpmbuild/main.log: file truncated
Running (timeout=18000): unbuffer mock --spec /var/lib/copr-rpmbuild/workspace/workdir-ckvasfbt/python-scikit-learn/python-scikit-learn.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-ckvasfbt/python-scikit-learn --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1732616512.971292 -r /var/lib/copr-rpmbuild/results/configs/child.cfg
INFO: mock.py version 5.9 starting (python version = 3.13.0, NVR = mock-5.9-1.fc41), args: /usr/libexec/mock/mock --spec /var/lib/copr-rpmbuild/workspace/workdir-ckvasfbt/python-scikit-learn/python-scikit-learn.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-ckvasfbt/python-scikit-learn --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1732616512.971292 -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-ckvasfbt/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-1732616512.971292/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-1732616512.971292/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/2b13717409dc7b9696a0a0623888ece8f1c41f8ecfc3e506a0e7c9fca7699b64/merged
INFO: umounting image registry.fedoraproject.org/fedora:rawhide (/var/lib/containers/storage/overlay/2b13717409dc7b9696a0a0623888ece8f1c41f8ecfc3e506a0e7c9fca7699b64/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_64-1732616512.971292/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% |   4.3 MiB/s |  21.8 MiB |  00m05s
 Copr repository                        100% |   7.7 MiB/s |   1.7 MiB |  00m00s
Repositories loaded.
Package                            Arch   Version                    Repository      Size
Installing group/module packages:
 bash                              x86_64 5.2.37-1.fc42              fedora       8.2 MiB
 bzip2                             x86_64 1.0.8-19.fc41              fedora      95.7 KiB
 coreutils                         x86_64 9.5-11.fc42                fedora       5.4 MiB
 cpio                              x86_64 2.15-2.fc41                fedora       1.1 MiB
 diffutils                         x86_64 3.10-8.fc41                fedora       1.6 MiB
 fedora-release-common             noarch 42-0.8                     fedora      19.7 KiB
 findutils                         x86_64 1:4.10.0-4.fc41            fedora       1.8 MiB
 gawk                              x86_64 5.3.0-4.fc41               fedora       1.7 MiB
 glibc-minimal-langpack            x86_64 2.40.9000-20.fc42          fedora       0.0   B
 grep                              x86_64 3.11-9.fc41                fedora       1.0 MiB
 gzip                              x86_64 1.13-2.fc41                fedora     389.0 KiB
 info                              x86_64 7.1.1-2.fc42               fedora     361.8 KiB
 patch                             x86_64 2.7.6-25.fc41              fedora     266.7 KiB
 redhat-rpm-config                 noarch 296-1.fc42                 fedora     186.6 KiB
 rpm-build                         x86_64 4.20.0-1.fc42              fedora     194.3 KiB
 sed                               x86_64 4.9-3.fc41                 fedora     861.5 KiB
 shadow-utils                      x86_64 2:4.16.0-7.fc42            fedora       4.0 MiB
 tar                               x86_64 2:1.35-4.fc41              fedora       2.9 MiB
 unzip                             x86_64 6.0-64.fc41                fedora     386.8 KiB
 util-linux                        x86_64 2.40.2-8.fc42              fedora       3.7 MiB
 which                             x86_64 2.21-42.fc41               fedora      80.2 KiB
 xz                                x86_64 1:5.6.3-2.fc42             fedora       1.2 MiB
Installing dependencies:
 add-determinism                   x86_64 0.4.3-1.fc42               fedora       2.4 MiB
 alternatives                      x86_64 1.30-1.fc41                fedora      66.3 KiB
 ansible-srpm-macros               noarch 1-16.fc41                  fedora      35.7 KiB
 audit-libs                        x86_64 4.0.2-1.fc41               fedora     331.3 KiB
 authselect                        x86_64 1.5.0-8.fc42               fedora     157.5 KiB
 authselect-libs                   x86_64 1.5.0-8.fc42               fedora     822.2 KiB
 basesystem                        noarch 11-21.fc41                 fedora       0.0   B
 binutils                          x86_64 2.43.50-8.fc42             fedora      25.4 MiB
 build-reproducibility-srpm-macros noarch 0.4.3-1.fc42               fedora     735.0   B
 bzip2-libs                        x86_64 1.0.8-19.fc41              fedora      80.7 KiB
 ca-certificates                   noarch 2024.2.69_v8.0.401-2.fc42  fedora       2.6 MiB
 coreutils-common                  x86_64 9.5-11.fc42                fedora      11.2 MiB
 cracklib                          x86_64 2.9.11-6.fc41              fedora     238.9 KiB
 crypto-policies                   noarch 20241106-1.git35892de.fc42 fedora     136.9 KiB
 curl                              x86_64 8.10.1-2.fc42              fedora     453.3 KiB
 cyrus-sasl-lib                    x86_64 2.1.28-27.fc41             fedora       2.3 MiB
 debugedit                         x86_64 5.1-1.fc42                 fedora     192.7 KiB
 dwz                               x86_64 0.15-8.fc42                fedora     299.2 KiB
 ed                                x86_64 1.20.2-2.fc41              fedora     146.9 KiB
 efi-srpm-macros                   noarch 5-13.fc42                  fedora      40.2 KiB
 elfutils                          x86_64 0.192-6.fc42               fedora       2.6 MiB
 elfutils-debuginfod-client        x86_64 0.192-6.fc42               fedora      80.4 KiB
 elfutils-default-yama-scope       noarch 0.192-6.fc42               fedora       1.8 KiB
 elfutils-libelf                   x86_64 0.192-6.fc42               fedora       1.2 MiB
 elfutils-libs                     x86_64 0.192-6.fc42               fedora     672.8 KiB
 fedora-gpg-keys                   noarch 42-0.3                     fedora     126.4 KiB
 fedora-release                    noarch 42-0.8                     fedora       0.0   B
 fedora-release-identity-basic     noarch 42-0.8                     fedora     719.0   B
 fedora-repos                      noarch 42-0.3                     fedora       4.9 KiB
 fedora-repos-rawhide              noarch 42-0.3                     fedora       2.2 KiB
 file                              x86_64 5.45-8.fc42                fedora     103.7 KiB
 file-libs                         x86_64 5.45-8.fc42                fedora       9.9 MiB
 filesystem                        x86_64 3.18-29.fc42               fedora     106.0   B
 fonts-srpm-macros                 noarch 1:2.0.5-17.fc41            fedora      55.8 KiB
 forge-srpm-macros                 noarch 0.4.0-1.fc42               copr_base   38.9 KiB
 fpc-srpm-macros                   noarch 1.3-13.fc41                fedora     144.0   B
 gdb-minimal                       x86_64 15.2-3.fc42                fedora      13.0 MiB
 gdbm                              x86_64 1:1.23-7.fc41              fedora     460.9 KiB
 gdbm-libs                         x86_64 1:1.23-7.fc41              fedora     121.9 KiB
 ghc-srpm-macros                   noarch 1.9.2-1.fc42               fedora     779.0   B
 glibc                             x86_64 2.40.9000-20.fc42          fedora       6.7 MiB
 glibc-common                      x86_64 2.40.9000-20.fc42          fedora       1.1 MiB
 glibc-gconv-extra                 x86_64 2.40.9000-20.fc42          fedora       8.0 MiB
 gmp                               x86_64 1:6.3.0-2.fc41             fedora     811.4 KiB
 gnat-srpm-macros                  noarch 6-6.fc41                   fedora       1.0 KiB
 go-srpm-macros                    noarch 3.6.0-3.fc41               fedora      60.8 KiB
 jansson                           x86_64 2.14-1.fc42                fedora      93.1 KiB
 json-c                            x86_64 0.18-1.fc42                fedora      83.3 KiB
 kernel-srpm-macros                noarch 1.0-24.fc41                fedora       1.9 KiB
 keyutils-libs                     x86_64 1.6.3-4.fc41               fedora      54.4 KiB
 krb5-libs                         x86_64 1.21.3-3.fc42              fedora       2.3 MiB
 libacl                            x86_64 2.3.2-2.fc41               fedora      40.0 KiB
 libarchive                        x86_64 3.7.7-1.fc42               fedora     932.3 KiB
 libattr                           x86_64 2.5.2-4.fc41               fedora      28.5 KiB
 libblkid                          x86_64 2.40.2-8.fc42              fedora     262.5 KiB
 libbrotli                         x86_64 1.1.0-5.fc41               fedora     837.6 KiB
 libcap                            x86_64 2.71-1.fc42                fedora     210.8 KiB
 libcap-ng                         x86_64 0.8.5-3.fc41               fedora      69.2 KiB
 libcom_err                        x86_64 1.47.1-6.fc42              fedora      67.2 KiB
 libcurl                           x86_64 8.10.1-2.fc42              fedora     838.4 KiB
 libeconf                          x86_64 0.7.4-3.fc42               fedora      65.7 KiB
 libevent                          x86_64 2.1.12-14.fc41             fedora     895.7 KiB
 libfdisk                          x86_64 2.40.2-8.fc42              fedora     362.9 KiB
 libffi                            x86_64 3.4.6-3.fc42               fedora      86.4 KiB
 libgcc                            x86_64 14.2.1-6.fc42              fedora     270.6 KiB
 libgomp                           x86_64 14.2.1-6.fc42              fedora     519.8 KiB
 libidn2                           x86_64 2.3.7-2.fc41               fedora     329.1 KiB
 libmount                          x86_64 2.40.2-8.fc42              fedora     355.8 KiB
 libnghttp2                        x86_64 1.64.0-1.fc42              fedora     174.5 KiB
 libnsl2                           x86_64 2.0.1-2.fc41               fedora      57.9 KiB
 libpkgconf                        x86_64 2.3.0-1.fc42               fedora      78.2 KiB
 libpsl                            x86_64 0.21.5-4.fc41              fedora      80.5 KiB
 libpwquality                      x86_64 1.4.5-11.fc41              fedora     417.8 KiB
 libselinux                        x86_64 3.7-6.fc42                 fedora     181.1 KiB
 libsemanage                       x86_64 3.7-3.fc42                 fedora     298.0 KiB
 libsepol                          x86_64 3.7-3.fc42                 fedora     818.0 KiB
 libsmartcols                      x86_64 2.40.2-8.fc42              fedora     180.4 KiB
 libssh                            x86_64 0.11.1-1.fc42              fedora     569.6 KiB
 libssh-config                     noarch 0.11.1-1.fc42              fedora     277.0   B
 libstdc++                         x86_64 14.2.1-6.fc42              fedora       2.8 MiB
 libtasn1                          x86_64 4.19.0-9.fc41              fedora     175.7 KiB
 libtirpc                          x86_64 1.3.6-1.fc42               fedora     205.5 KiB
 libtool-ltdl                      x86_64 2.4.7-12.fc41              fedora      66.2 KiB
 libunistring                      x86_64 1.1-8.fc41                 fedora       1.7 MiB
 libuuid                           x86_64 2.40.2-8.fc42              fedora      41.4 KiB
 libverto                          x86_64 0.3.2-9.fc41               fedora      29.5 KiB
 libxcrypt                         x86_64 4.4.36-10.fc42             fedora     267.7 KiB
 libxml2                           x86_64 2.12.8-2.fc41              fedora       1.7 MiB
 libzstd                           x86_64 1.5.6-2.fc41               fedora     795.9 KiB
 lua-libs                          x86_64 5.4.7-1.fc42               fedora     285.0 KiB
 lua-srpm-macros                   noarch 1-14.fc41                  fedora       1.3 KiB
 lz4-libs                          x86_64 1.10.0-1.fc41              fedora     145.5 KiB
 mpfr                              x86_64 4.2.1-5.fc41               fedora     832.1 KiB
 ncurses-base                      noarch 6.5-2.20240629.fc41        fedora     326.3 KiB
 ncurses-libs                      x86_64 6.5-2.20240629.fc41        fedora     975.2 KiB
 ocaml-srpm-macros                 noarch 10-3.fc41                  fedora       1.9 KiB
 openblas-srpm-macros              noarch 2-18.fc41                  fedora     112.0   B
 openldap                          x86_64 2.6.8-5.fc41               fedora     644.2 KiB
 openssl-libs                      x86_64 1:3.2.2-8.fc42             fedora       7.8 MiB
 p11-kit                           x86_64 0.25.5-4.fc42              fedora       2.2 MiB
 p11-kit-trust                     x86_64 0.25.5-4.fc42              fedora     403.8 KiB
 package-notes-srpm-macros         noarch 0.5-12.fc41                fedora       1.6 KiB
 pam                               x86_64 1.7.0-3.fc42               fedora       1.8 MiB
 pam-libs                          x86_64 1.7.0-3.fc42               fedora     139.4 KiB
 pcre2                             x86_64 10.44-1.fc41.1             fedora     653.5 KiB
 pcre2-syntax                      noarch 10.44-1.fc41.1             fedora     251.6 KiB
 perl-srpm-macros                  noarch 1-56.fc41                  fedora     861.0   B
 pkgconf                           x86_64 2.3.0-1.fc42               fedora      88.6 KiB
 pkgconf-m4                        noarch 2.3.0-1.fc42               fedora      14.4 KiB
 pkgconf-pkg-config                x86_64 2.3.0-1.fc42               fedora     989.0   B
 popt                              x86_64 1.19-7.fc41                fedora     136.9 KiB
 publicsuffix-list-dafsa           noarch 20240107-4.fc41            fedora      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                fedora      51.0 KiB
 qt5-srpm-macros                   noarch 5.15.15-1.fc42             fedora     500.0   B
 qt6-srpm-macros                   noarch 6.8.0-1.fc42               fedora     456.0   B
 readline                          x86_64 8.2-11.fc42                fedora     493.1 KiB
 rpm                               x86_64 4.20.0-1.fc42              fedora       3.1 MiB
 rpm-build-libs                    x86_64 4.20.0-1.fc42              fedora     206.7 KiB
 rpm-libs                          x86_64 4.20.0-1.fc42              fedora     726.1 KiB
 rpm-sequoia                       x86_64 1.7.0-2.fc41               fedora       2.4 MiB
 rust-srpm-macros                  noarch 26.3-3.fc42                copr_base    4.8 KiB
 setup                             noarch 2.15.0-5.fc41              fedora     720.7 KiB
 sqlite-libs                       x86_64 3.47.0-1.fc42              fedora       1.5 MiB
 systemd-libs                      x86_64 257~rc2-3.fc42             copr_base    2.3 MiB
 util-linux-core                   x86_64 2.40.2-8.fc42              fedora       1.5 MiB
 xxhash-libs                       x86_64 0.8.2-4.fc42               fedora      88.4 KiB
 xz-libs                           x86_64 1:5.6.3-2.fc42             fedora     218.4 KiB
 zig-srpm-macros                   noarch 1-3.fc41                   fedora       1.1 KiB
 zip                               x86_64 3.0-41.fc41                fedora     703.2 KiB
 zlib-ng-compat                    x86_64 2.2.2-1.fc42               fedora     134.0 KiB
 zstd                              x86_64 1.5.6-2.fc41               fedora       1.7 MiB
Installing groups:
 Buildsystem building group                                                              

Transaction Summary:
 Installing:       154 packages

Total size of inbound packages is 53 MiB. Need to download 53 MiB.
After this operation, 179 MiB extra will be used (install 179 MiB, remove 0 B).
[  1/154] bzip2-0:1.0.8-19.fc41.x86_64  100% | 347.8 KiB/s |  52.5 KiB |  00m00s
[  2/154] cpio-0:2.15-2.fc41.x86_64     100% |   2.0 MiB/s | 291.8 KiB |  00m00s
[  3/154] coreutils-0:9.5-11.fc42.x86_6 100% |   3.2 MiB/s |   1.1 MiB |  00m00s
[  4/154] bash-0:5.2.37-1.fc42.x86_64   100% |   5.2 MiB/s |   1.8 MiB |  00m00s
[  5/154] diffutils-0:3.10-8.fc41.x86_6 100% |   3.4 MiB/s | 405.4 KiB |  00m00s
[  6/154] findutils-1:4.10.0-4.fc41.x86 100% |   5.4 MiB/s | 548.6 KiB |  00m00s
[  7/154] glibc-minimal-langpack-0:2.40 100% |   3.5 MiB/s | 119.6 KiB |  00m00s
[  8/154] grep-0:3.11-9.fc41.x86_64     100% |   9.4 MiB/s | 299.8 KiB |  00m00s
[  9/154] gzip-0:1.13-2.fc41.x86_64     100% |   5.2 MiB/s | 170.2 KiB |  00m00s
[ 10/154] info-0:7.1.1-2.fc42.x86_64    100% |   6.4 MiB/s | 183.2 KiB |  00m00s
[ 11/154] patch-0:2.7.6-25.fc41.x86_64  100% |   4.3 MiB/s | 131.0 KiB |  00m00s
[ 12/154] fedora-release-common-0:42-0. 100% | 131.4 KiB/s |  23.5 KiB |  00m00s
[ 13/154] redhat-rpm-config-0:296-1.fc4 100% |   3.1 MiB/s |  82.4 KiB |  00m00s
[ 14/154] rpm-build-0:4.20.0-1.fc42.x86 100% |   2.9 MiB/s |  82.7 KiB |  00m00s
[ 15/154] sed-0:4.9-3.fc41.x86_64       100% |   6.1 MiB/s | 317.7 KiB |  00m00s
[ 16/154] unzip-0:6.0-64.fc41.x86_64    100% |   3.8 MiB/s | 184.9 KiB |  00m00s
[ 17/154] shadow-utils-2:4.16.0-7.fc42. 100% |  15.3 MiB/s |   1.3 MiB |  00m00s
[ 18/154] tar-2:1.35-4.fc41.x86_64      100% |  10.1 MiB/s | 860.7 KiB |  00m00s
[ 19/154] which-0:2.21-42.fc41.x86_64   100% |   1.4 MiB/s |  41.6 KiB |  00m00s
[ 20/154] xz-1:5.6.3-2.fc42.x86_64      100% |  14.1 MiB/s | 475.4 KiB |  00m00s
[ 21/154] gawk-0:5.3.0-4.fc41.x86_64    100% |  17.0 MiB/s |   1.1 MiB |  00m00s
[ 22/154] filesystem-0:3.18-29.fc42.x86 100% |  24.7 MiB/s |   1.1 MiB |  00m00s
[ 23/154] ncurses-libs-0:6.5-2.20240629 100% |  10.2 MiB/s | 334.0 KiB |  00m00s
[ 24/154] glibc-0:2.40.9000-20.fc42.x86 100% |  37.3 MiB/s |   2.2 MiB |  00m00s
[ 25/154] util-linux-0:2.40.2-8.fc42.x8 100% |  11.4 MiB/s |   1.2 MiB |  00m00s
[ 26/154] bzip2-libs-0:1.0.8-19.fc41.x8 100% |   1.6 MiB/s |  41.1 KiB |  00m00s
[ 27/154] libacl-0:2.3.2-2.fc41.x86_64  100% | 700.0 KiB/s |  24.5 KiB |  00m00s
[ 28/154] libattr-0:2.5.2-4.fc41.x86_64 100% | 726.9 KiB/s |  18.2 KiB |  00m00s
[ 29/154] gmp-1:6.3.0-2.fc41.x86_64     100% |   4.3 MiB/s | 318.0 KiB |  00m00s
[ 30/154] libcap-0:2.71-1.fc42.x86_64   100% |   3.2 MiB/s |  86.4 KiB |  00m00s
[ 31/154] libselinux-0:3.7-6.fc42.x86_6 100% |   3.0 MiB/s |  88.6 KiB |  00m00s
[ 32/154] fedora-repos-0:42-0.3.noarch  100% | 367.7 KiB/s |   9.2 KiB |  00m00s
[ 33/154] openssl-libs-1:3.2.2-8.fc42.x 100% |  39.2 MiB/s |   2.3 MiB |  00m00s
[ 34/154] glibc-common-0:2.40.9000-20.f 100% |   8.3 MiB/s | 407.3 KiB |  00m00s
[ 35/154] pcre2-0:10.44-1.fc41.1.x86_64 100% |   8.8 MiB/s | 243.1 KiB |  00m00s
[ 36/154] coreutils-common-0:9.5-11.fc4 100% |  10.9 MiB/s |   2.1 MiB |  00m00s
[ 37/154] ed-0:1.20.2-2.fc41.x86_64     100% |   2.8 MiB/s |  81.8 KiB |  00m00s
[ 38/154] ansible-srpm-macros-0:1-16.fc 100% | 831.0 KiB/s |  20.8 KiB |  00m00s
[ 39/154] build-reproducibility-srpm-ma 100% | 447.2 KiB/s |  11.2 KiB |  00m00s
[ 40/154] efi-srpm-macros-0:5-13.fc42.n 100% | 898.4 KiB/s |  22.5 KiB |  00m00s
[ 41/154] dwz-0:0.15-8.fc42.x86_64      100% |   4.2 MiB/s | 139.1 KiB |  00m00s
[ 42/154] file-0:5.45-8.fc42.x86_64     100% |   1.9 MiB/s |  48.6 KiB |  00m00s
[ 43/154] fonts-srpm-macros-1:2.0.5-17. 100% |   1.1 MiB/s |  27.0 KiB |  00m00s
[ 44/154] fpc-srpm-macros-0:1.3-13.fc41 100% | 318.5 KiB/s |   8.0 KiB |  00m00s
[ 45/154] ghc-srpm-macros-0:1.9.2-1.fc4 100% | 364.7 KiB/s |   9.1 KiB |  00m00s
[ 46/154] gnat-srpm-macros-0:6-6.fc41.n 100% | 358.1 KiB/s |   9.0 KiB |  00m00s
[ 47/154] go-srpm-macros-0:3.6.0-3.fc41 100% |   1.0 MiB/s |  28.0 KiB |  00m00s
[ 48/154] kernel-srpm-macros-0:1.0-24.f 100% | 394.7 KiB/s |   9.9 KiB |  00m00s
[ 49/154] lua-srpm-macros-0:1-14.fc41.n 100% | 355.2 KiB/s |   8.9 KiB |  00m00s
[ 50/154] ocaml-srpm-macros-0:10-3.fc41 100% | 368.0 KiB/s |   9.2 KiB |  00m00s
[ 51/154] openblas-srpm-macros-0:2-18.f 100% | 308.6 KiB/s |   7.7 KiB |  00m00s
[ 52/154] package-notes-srpm-macros-0:0 100% | 393.2 KiB/s |   9.8 KiB |  00m00s
[ 53/154] perl-srpm-macros-0:1-56.fc41. 100% | 340.5 KiB/s |   8.5 KiB |  00m00s
[ 54/154] python-srpm-macros-0:3.13-3.f 100% | 948.9 KiB/s |  23.7 KiB |  00m00s
[ 55/154] qt5-srpm-macros-0:5.15.15-1.f 100% | 355.9 KiB/s |   8.9 KiB |  00m00s
[ 56/154] qt6-srpm-macros-0:6.8.0-1.fc4 100% | 362.0 KiB/s |   9.0 KiB |  00m00s
[ 57/154] rpm-0:4.20.0-1.fc42.x86_64    100% |  16.2 MiB/s | 547.3 KiB |  00m00s
[ 58/154] zig-srpm-macros-0:1-3.fc41.no 100% | 324.9 KiB/s |   8.1 KiB |  00m00s
[ 59/154] debugedit-0:5.1-1.fc42.x86_64 100% |   2.9 MiB/s |  78.1 KiB |  00m00s
[ 60/154] zip-0:3.0-41.fc41.x86_64      100% |   6.6 MiB/s | 264.8 KiB |  00m00s
[ 61/154] elfutils-0:0.192-6.fc42.x86_6 100% |  17.9 MiB/s | 550.7 KiB |  00m00s
[ 62/154] elfutils-libelf-0:0.192-6.fc4 100% |   7.5 MiB/s | 207.5 KiB |  00m00s
[ 63/154] popt-0:1.19-7.fc41.x86_64     100% |   2.5 MiB/s |  65.9 KiB |  00m00s
[ 64/154] libarchive-0:3.7.7-1.fc42.x86 100% |   8.2 MiB/s | 413.9 KiB |  00m00s
[ 65/154] readline-0:8.2-11.fc42.x86_64 100% |   6.9 MiB/s | 213.4 KiB |  00m00s
[ 66/154] rpm-build-libs-0:4.20.0-1.fc4 100% |   3.7 MiB/s |  98.7 KiB |  00m00s
[ 67/154] zstd-0:1.5.6-2.fc41.x86_64    100% |  14.2 MiB/s | 481.5 KiB |  00m00s
[ 68/154] rpm-libs-0:4.20.0-1.fc42.x86_ 100% |   7.0 MiB/s | 309.5 KiB |  00m00s
[ 69/154] audit-libs-0:4.0.2-1.fc41.x86 100% |   4.6 MiB/s | 126.2 KiB |  00m00s
[ 70/154] libeconf-0:0.7.4-3.fc42.x86_6 100% |   1.4 MiB/s |  34.6 KiB |  00m00s
[ 71/154] libsemanage-0:3.7-3.fc42.x86_ 100% |   4.4 MiB/s | 117.2 KiB |  00m00s
[ 72/154] libxcrypt-0:4.4.36-10.fc42.x8 100% |   3.8 MiB/s | 119.0 KiB |  00m00s
[ 73/154] pam-libs-0:1.7.0-3.fc42.x86_6 100% |   2.3 MiB/s |  58.0 KiB |  00m00s
[ 74/154] setup-0:2.15.0-5.fc41.noarch  100% |   5.8 MiB/s | 154.4 KiB |  00m00s
[ 75/154] xz-libs-1:5.6.3-2.fc42.x86_64 100% |   3.6 MiB/s | 111.9 KiB |  00m00s
[ 76/154] libblkid-0:2.40.2-8.fc42.x86_ 100% |   4.1 MiB/s | 125.0 KiB |  00m00s
[ 77/154] mpfr-0:4.2.1-5.fc41.x86_64    100% |   9.9 MiB/s | 346.3 KiB |  00m00s
[ 78/154] libcap-ng-0:0.8.5-3.fc41.x86_ 100% | 986.7 KiB/s |  32.6 KiB |  00m00s
[ 79/154] libfdisk-0:2.40.2-8.fc42.x86_ 100% |   5.6 MiB/s | 159.6 KiB |  00m00s
[ 80/154] libmount-0:2.40.2-8.fc42.x86_ 100% |   5.4 MiB/s | 156.1 KiB |  00m00s
[ 81/154] libsmartcols-0:2.40.2-8.fc42. 100% |   2.7 MiB/s |  83.9 KiB |  00m00s
[ 82/154] libuuid-0:2.40.2-8.fc42.x86_6 100% |   1.1 MiB/s |  29.0 KiB |  00m00s
[ 83/154] util-linux-core-0:2.40.2-8.fc 100% |  15.9 MiB/s | 537.3 KiB |  00m00s
[ 84/154] zlib-ng-compat-0:2.2.2-1.fc42 100% |   2.7 MiB/s |  76.9 KiB |  00m00s
[ 85/154] glibc-gconv-extra-0:2.40.9000 100% |  38.6 MiB/s |   1.7 MiB |  00m00s
[ 86/154] basesystem-0:11-21.fc41.noarc 100% | 204.8 KiB/s |   7.4 KiB |  00m00s
[ 87/154] libgcc-0:14.2.1-6.fc42.x86_64 100% |   4.1 MiB/s | 135.2 KiB |  00m00s
[ 88/154] ncurses-base-0:6.5-2.20240629 100% |   3.2 MiB/s |  88.4 KiB |  00m00s
[ 89/154] libsepol-0:3.7-3.fc42.x86_64  100% |  10.4 MiB/s | 342.2 KiB |  00m00s
[ 90/154] fedora-gpg-keys-0:42-0.3.noar 100% |   5.0 MiB/s | 133.6 KiB |  00m00s
[ 91/154] fedora-repos-rawhide-0:42-0.3 100% | 350.5 KiB/s |   8.8 KiB |  00m00s
[ 92/154] ca-certificates-0:2024.2.69_v 100% |  12.0 MiB/s | 944.5 KiB |  00m00s
[ 93/154] pcre2-syntax-0:10.44-1.fc41.1 100% |   5.2 MiB/s | 149.9 KiB |  00m00s
[ 94/154] add-determinism-0:0.4.3-1.fc4 100% |  23.2 MiB/s | 904.4 KiB |  00m00s
[ 95/154] file-libs-0:5.45-8.fc42.x86_6 100% |  21.9 MiB/s | 763.6 KiB |  00m00s
[ 96/154] curl-0:8.10.1-2.fc42.x86_64   100% |   5.7 MiB/s | 221.3 KiB |  00m00s
[ 97/154] elfutils-libs-0:0.192-6.fc42. 100% |   8.9 MiB/s | 263.4 KiB |  00m00s
[ 98/154] elfutils-debuginfod-client-0: 100% |   1.8 MiB/s |  46.0 KiB |  00m00s
[ 99/154] libzstd-0:1.5.6-2.fc41.x86_64 100% |   9.8 MiB/s | 310.3 KiB |  00m00s
[100/154] libxml2-0:2.12.8-2.fc41.x86_6 100% |  19.7 MiB/s | 687.3 KiB |  00m00s
[101/154] lz4-libs-0:1.10.0-1.fc41.x86_ 100% |   2.7 MiB/s |  70.7 KiB |  00m00s
[102/154] libstdc++-0:14.2.1-6.fc42.x86 100% |  12.8 MiB/s | 890.1 KiB |  00m00s
[103/154] libgomp-0:14.2.1-6.fc42.x86_6 100% |  12.0 MiB/s | 356.9 KiB |  00m00s
[104/154] lua-libs-0:5.4.7-1.fc42.x86_6 100% |   4.6 MiB/s | 132.1 KiB |  00m00s
[105/154] sqlite-libs-0:3.47.0-1.fc42.x 100% |  21.4 MiB/s | 723.2 KiB |  00m00s
[106/154] elfutils-default-yama-scope-0 100% | 411.0 KiB/s |  12.3 KiB |  00m00s
[107/154] rpm-sequoia-0:1.7.0-2.fc41.x8 100% |  13.8 MiB/s | 892.5 KiB |  00m00s
[108/154] json-c-0:0.18-1.fc42.x86_64   100% |   1.7 MiB/s |  44.4 KiB |  00m00s
[109/154] authselect-libs-0:1.5.0-8.fc4 100% |   7.6 MiB/s | 218.0 KiB |  00m00s
[110/154] pam-0:1.7.0-3.fc42.x86_64     100% |  17.5 MiB/s | 554.3 KiB |  00m00s
[111/154] authselect-0:1.5.0-8.fc42.x86 100% |   5.3 MiB/s | 145.8 KiB |  00m00s
[112/154] systemd-libs-0:257~rc2-3.fc42 100% |  11.0 MiB/s | 813.7 KiB |  00m00s
[113/154] gdbm-libs-1:1.23-7.fc41.x86_6 100% |   2.2 MiB/s |  56.3 KiB |  00m00s
[114/154] libnsl2-0:2.0.1-2.fc41.x86_64 100% |   1.2 MiB/s |  29.6 KiB |  00m00s
[115/154] libpwquality-0:1.4.5-11.fc41. 100% |   3.9 MiB/s | 119.1 KiB |  00m00s
[116/154] libtirpc-0:1.3.6-1.fc42.x86_6 100% |   3.6 MiB/s |  94.9 KiB |  00m00s
[117/154] cracklib-0:2.9.11-6.fc41.x86_ 100% |   3.5 MiB/s |  92.0 KiB |  00m00s
[118/154] libcom_err-0:1.47.1-6.fc42.x8 100% |   1.0 MiB/s |  26.6 KiB |  00m00s
[119/154] keyutils-libs-0:1.6.3-4.fc41. 100% |   1.2 MiB/s |  31.6 KiB |  00m00s
[120/154] krb5-libs-0:1.21.3-3.fc42.x86 100% |  12.8 MiB/s | 760.4 KiB |  00m00s
[121/154] libverto-0:0.3.2-9.fc41.x86_6 100% | 827.7 KiB/s |  20.7 KiB |  00m00s
[122/154] jansson-0:2.14-1.fc42.x86_64  100% |   1.6 MiB/s |  45.3 KiB |  00m00s
[123/154] alternatives-0:1.30-1.fc41.x8 100% |   1.4 MiB/s |  42.5 KiB |  00m00s
[124/154] pkgconf-pkg-config-0:2.3.0-1. 100% | 400.4 KiB/s |  10.0 KiB |  00m00s
[125/154] pkgconf-0:2.3.0-1.fc42.x86_64 100% |   1.7 MiB/s |  45.2 KiB |  00m00s
[126/154] pkgconf-m4-0:2.3.0-1.fc42.noa 100% | 550.8 KiB/s |  14.3 KiB |  00m00s
[127/154] libpkgconf-0:2.3.0-1.fc42.x86 100% |   1.3 MiB/s |  38.5 KiB |  00m00s
[128/154] binutils-0:2.43.50-8.fc42.x86 100% |  48.2 MiB/s |   5.8 MiB |  00m00s
[129/154] pyproject-srpm-macros-0:1.16. 100% | 897.8 KiB/s |  14.4 KiB |  00m00s
[130/154] rust-srpm-macros-0:26.3-3.fc4 100% |   1.2 MiB/s |  12.7 KiB |  00m00s
[131/154] forge-srpm-macros-0:0.4.0-1.f 100% | 563.5 KiB/s |  20.3 KiB |  00m00s
[132/154] gdbm-1:1.23-7.fc41.x86_64     100% |   5.1 MiB/s | 151.8 KiB |  00m00s
[133/154] crypto-policies-0:20241106-1. 100% |   3.7 MiB/s |  98.0 KiB |  00m00s
[134/154] libffi-0:3.4.6-3.fc42.x86_64  100% |   1.5 MiB/s |  40.0 KiB |  00m00s
[135/154] p11-kit-0:0.25.5-4.fc42.x86_6 100% |  16.0 MiB/s | 492.0 KiB |  00m00s
[136/154] libtasn1-0:4.19.0-9.fc41.x86_ 100% |   2.9 MiB/s |  74.2 KiB |  00m00s
[137/154] p11-kit-trust-0:0.25.5-4.fc42 100% |   4.3 MiB/s | 133.2 KiB |  00m00s
[138/154] fedora-release-0:42-0.8.noarc 100% | 507.7 KiB/s |  12.7 KiB |  00m00s
[139/154] xxhash-libs-0:0.8.2-4.fc42.x8 100% |   1.4 MiB/s |  36.8 KiB |  00m00s
[140/154] fedora-release-identity-basic 100% | 539.9 KiB/s |  13.5 KiB |  00m00s
[141/154] libbrotli-0:1.1.0-5.fc41.x86_ 100% |  11.1 MiB/s | 340.5 KiB |  00m00s
[142/154] libcurl-0:8.10.1-2.fc42.x86_6 100% |   8.2 MiB/s | 371.3 KiB |  00m00s
[143/154] gdb-minimal-0:15.2-3.fc42.x86 100% |  49.0 MiB/s |   4.3 MiB |  00m00s
[144/154] libidn2-0:2.3.7-2.fc41.x86_64 100% |   4.4 MiB/s | 118.4 KiB |  00m00s
[145/154] libnghttp2-0:1.64.0-1.fc42.x8 100% |   2.7 MiB/s |  77.4 KiB |  00m00s
[146/154] libpsl-0:0.21.5-4.fc41.x86_64 100% |   2.5 MiB/s |  64.1 KiB |  00m00s
[147/154] libssh-0:0.11.1-1.fc42.x86_64 100% |   8.1 MiB/s | 231.9 KiB |  00m00s
[148/154] openldap-0:2.6.8-5.fc41.x86_6 100% |   6.9 MiB/s | 255.6 KiB |  00m00s
[149/154] libunistring-0:1.1-8.fc41.x86 100% |  16.6 MiB/s | 544.8 KiB |  00m00s
[150/154] publicsuffix-list-dafsa-0:202 100% |   2.3 MiB/s |  58.3 KiB |  00m00s
[151/154] libssh-config-0:0.11.1-1.fc42 100% | 375.4 KiB/s |   9.4 KiB |  00m00s
[152/154] cyrus-sasl-lib-0:2.1.28-27.fc 100% |  22.2 MiB/s | 794.9 KiB |  00m00s
[153/154] libevent-0:2.1.12-14.fc41.x86 100% |   9.3 MiB/s | 257.5 KiB |  00m00s
[154/154] libtool-ltdl-0:2.4.7-12.fc41. 100% |   1.3 MiB/s |  35.6 KiB |  00m00s
--------------------------------------------------------------------------------
[154/154] Total                         100% |  23.4 MiB/s |  52.7 MiB |  00m02s
Running transaction
Importing PGP key 0x105EF944:
 UserID     : "Fedora (42) <fedora-42-primary@fedoraproject.org>"
 Fingerprint: B0F4950458F69E1150C6C5EDC8AC4916105EF944
 From       : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-42-primary
The key was successfully imported.
Importing PGP key 0x105EF944:
 UserID     : "Fedora (42) <fedora-42-primary@fedoraproject.org>"
 Fingerprint: B0F4950458F69E1150C6C5EDC8AC4916105EF944
 From       : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-42-primary
The key was successfully imported.
Importing PGP key 0xE99D6AD1:
 UserID     : "Fedora (41) <fedora-41-primary@fedoraproject.org>"
 Fingerprint: 466CF2D8B60BC3057AA9453ED0622462E99D6AD1
 From       : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-41-primary
The key was successfully imported.
Importing PGP key 0x31645531:
 UserID     : "Fedora (43) <fedora-43-primary@fedoraproject.org>"
 Fingerprint: C6E7F081CF80E13146676E88829B606631645531
 From       : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-43-primary
The key was successfully imported.
[  1/156] Verify package files          100% | 754.0   B/s | 154.0   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_64-1732616512.971292/root/var/cache/d
[  2/156] Prepare transaction           100% |   1.7 KiB/s | 154.0   B |  00m00s
[  3/156] Installing libgcc-0:14.2.1-6. 100% |  88.6 MiB/s | 272.3 KiB |  00m00s
[  4/156] Installing libssh-config-0:0. 100% | 796.9 KiB/s | 816.0   B |  00m00s
[  5/156] Installing publicsuffix-list- 100% |  66.7 MiB/s |  68.3 KiB |  00m00s
[  6/156] Installing fedora-release-ide 100% |   0.0   B/s | 976.0   B |  00m00s
[  7/156] Installing fedora-repos-rawhi 100% |   2.4 MiB/s |   2.4 KiB |  00m00s
[  8/156] Installing fedora-gpg-keys-0: 100% |  14.0 MiB/s | 172.2 KiB |  00m00s
[  9/156] Installing fedora-repos-0:42- 100% |   5.6 MiB/s |   5.7 KiB |  00m00s
[ 10/156] Installing fedora-release-com 100% |  11.7 MiB/s |  24.0 KiB |  00m00s
[ 11/156] Installing fedora-release-0:4 100% |   0.0   B/s | 124.0   B |  00m00s
[ 12/156] Installing setup-0:2.15.0-5.f 100% |  44.3 MiB/s | 726.1 KiB |  00m00s
>>> [RPM] /etc/hosts created as /etc/hosts.rpmnew
[ 13/156] Installing filesystem-0:3.18- 100% |   1.5 MiB/s | 212.6 KiB |  00m00s
[ 14/156] Installing basesystem-0:11-21 100% |   0.0   B/s | 124.0   B |  00m00s
[ 15/156] Installing rust-srpm-macros-0 100% |   5.4 MiB/s |   5.6 KiB |  00m00s
[ 16/156] Installing pkgconf-m4-0:2.3.0 100% |   0.0   B/s |  14.8 KiB |  00m00s
[ 17/156] Installing pcre2-syntax-0:10. 100% | 124.1 MiB/s | 254.1 KiB |  00m00s
[ 18/156] Installing ncurses-base-0:6.5 100% |  31.2 MiB/s | 351.7 KiB |  00m00s
[ 19/156] Installing glibc-minimal-lang 100% |   0.0   B/s | 124.0   B |  00m00s
[ 20/156] Installing ncurses-libs-0:6.5 100% | 119.9 MiB/s | 981.8 KiB |  00m00s
[ 21/156] Installing glibc-0:2.40.9000- 100% | 181.7 MiB/s |   6.7 MiB |  00m00s
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[ 67/156] Installing libtasn1-0:4.19.0- 100% |  86.7 MiB/s | 177.5 KiB |  00m00s
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[ 71/156] Installing libpsl-0:0.21.5-4. 100% |  39.9 MiB/s |  81.7 KiB |  00m00s
[ 72/156] Installing p11-kit-trust-0:0. 100% |  18.9 MiB/s | 405.5 KiB |  00m00s
[ 73/156] Installing zstd-0:1.5.6-2.fc4 100% | 211.4 MiB/s |   1.7 MiB |  00m00s
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[142/156] Installing rpm-0:4.20.0-1.fc4 100% |  80.8 MiB/s |   2.5 MiB |  00m00s
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[153/156] Installing util-linux-0:2.40. 100% |  80.8 MiB/s |   3.7 MiB |  00m00s
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[155/156] Installing which-0:2.21-42.fc 100% |  40.2 MiB/s |  82.4 KiB |  00m00s
[156/156] Installing info-0:7.1.1-2.fc4 100% | 120.9 KiB/s | 362.2 KiB |  00m03s
Warning: skipped PGP checks for 4 packages from repository: copr_base
Complete!
Finish: installing minimal buildroot with dnf5
Start: creating root cache
Finish: creating root cache
Finish: chroot init
INFO: Installed packages:
INFO: add-determinism-0.4.3-1.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-2.43.50-8.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-5-13.fc42.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-5.45-8.fc42.x86_64
file-libs-5.45-8.fc42.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
glibc-2.40.9000-20.fc42.x86_64
glibc-common-2.40.9000-20.fc42.x86_64
glibc-gconv-extra-2.40.9000-20.fc42.x86_64
glibc-minimal-langpack-2.40.9000-20.fc42.x86_64
gmp-6.3.0-2.fc41.x86_64
gnat-srpm-macros-6-6.fc41.noarch
go-srpm-macros-3.6.0-3.fc41.noarch
gpg-pubkey-105ef944-65ca83d1
gpg-pubkey-31645531-66b6dccf
gpg-pubkey-e99d6ad1-64d2612c
grep-3.11-9.fc41.x86_64
gzip-1.13-2.fc41.x86_64
info-7.1.1-2.fc42.x86_64
jansson-2.14-1.fc42.x86_64
json-c-0.18-1.fc42.x86_64
kernel-srpm-macros-1.0-24.fc41.noarch
keyutils-libs-1.6.3-4.fc41.x86_64
krb5-libs-1.21.3-3.fc42.x86_64
libacl-2.3.2-2.fc41.x86_64
libarchive-3.7.7-1.fc42.x86_64
libattr-2.5.2-4.fc41.x86_64
libblkid-2.40.2-8.fc42.x86_64
libbrotli-1.1.0-5.fc41.x86_64
libcap-2.71-1.fc42.x86_64
libcap-ng-0.8.5-3.fc41.x86_64
libcom_err-1.47.1-6.fc42.x86_64
libcurl-8.10.1-2.fc42.x86_64
libeconf-0.7.4-3.fc42.x86_64
libevent-2.1.12-14.fc41.x86_64
libfdisk-2.40.2-8.fc42.x86_64
libffi-3.4.6-3.fc42.x86_64
libgcc-14.2.1-6.fc42.x86_64
libgomp-14.2.1-6.fc42.x86_64
libidn2-2.3.7-2.fc41.x86_64
libmount-2.40.2-8.fc42.x86_64
libnghttp2-1.64.0-1.fc42.x86_64
libnsl2-2.0.1-2.fc41.x86_64
libpkgconf-2.3.0-1.fc42.x86_64
libpsl-0.21.5-4.fc41.x86_64
libpwquality-1.4.5-11.fc41.x86_64
libselinux-3.7-6.fc42.x86_64
libsemanage-3.7-3.fc42.x86_64
libsepol-3.7-3.fc42.x86_64
libsmartcols-2.40.2-8.fc42.x86_64
libssh-0.11.1-1.fc42.x86_64
libssh-config-0.11.1-1.fc42.noarch
libstdc++-14.2.1-6.fc42.x86_64
libtasn1-4.19.0-9.fc41.x86_64
libtirpc-1.3.6-1.fc42.x86_64
libtool-ltdl-2.4.7-12.fc41.x86_64
libunistring-1.1-8.fc41.x86_64
libuuid-2.40.2-8.fc42.x86_64
libverto-0.3.2-9.fc41.x86_64
libxcrypt-4.4.36-10.fc42.x86_64
libxml2-2.12.8-2.fc41.x86_64
libzstd-1.5.6-2.fc41.x86_64
lua-libs-5.4.7-1.fc42.x86_64
lua-srpm-macros-1-14.fc41.noarch
lz4-libs-1.10.0-1.fc41.x86_64
mpfr-4.2.1-5.fc41.x86_64
ncurses-base-6.5-2.20240629.fc41.noarch
ncurses-libs-6.5-2.20240629.fc41.x86_64
ocaml-srpm-macros-10-3.fc41.noarch
openblas-srpm-macros-2-18.fc41.noarch
openldap-2.6.8-5.fc41.x86_64
openssl-libs-3.2.2-8.fc42.x86_64
p11-kit-0.25.5-4.fc42.x86_64
p11-kit-trust-0.25.5-4.fc42.x86_64
package-notes-srpm-macros-0.5-12.fc41.noarch
pam-1.7.0-3.fc42.x86_64
pam-libs-1.7.0-3.fc42.x86_64
patch-2.7.6-25.fc41.x86_64
pcre2-10.44-1.fc41.1.x86_64
pcre2-syntax-10.44-1.fc41.1.noarch
perl-srpm-macros-1-56.fc41.noarch
pkgconf-2.3.0-1.fc42.x86_64
pkgconf-m4-2.3.0-1.fc42.noarch
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
setup-2.15.0-5.fc41.noarch
shadow-utils-4.16.0-7.fc42.x86_64
sqlite-libs-3.47.0-1.fc42.x86_64
systemd-libs-257~rc2-3.fc42.x86_64
tar-1.35-4.fc41.x86_64
unzip-6.0-64.fc41.x86_64
util-linux-2.40.2-8.fc42.x86_64
util-linux-core-2.40.2-8.fc42.x86_64
which-2.21-42.fc41.x86_64
xxhash-libs-0.8.2-4.fc42.x86_64
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_64-1732616512.971292/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-ckvasfbt/python-scikit-learn/python-scikit-learn.spec) Config(child) 0 minutes 36 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-1732616512.971292/root.
INFO: reusing tmpfs at /var/lib/mock/fedora-rawhide-x86_64-bootstrap-1732616512.971292/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_64-1732616512.971292/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% |   1.0 MiB/s |  28.5 KiB |  00m00s
 Copr repository                        100% |  47.9 KiB/s |   1.5 KiB |  00m00s
 fedora                                 100% | 782.4 KiB/s | 478.0 KiB |  00m01s
Repositories loaded.
Package                 Arch   Version           Repository      Size
Installing:
 gcc                    x86_64 14.2.1-6.fc42     fedora     104.3 MiB
 gcc-c++                x86_64 14.2.1-6.fc42     fedora      38.1 MiB
 python3-devel          x86_64 3.13.0-1.fc42     fedora       1.8 MiB
 python3-joblib         noarch 1.4.2-3.fc41      copr_base    2.2 MiB
 python3-pytest         noarch 8.3.3-3.fc42      fedora      20.8 MiB
 python3-setuptools     noarch 74.1.3-4.fc42     copr_base    8.4 MiB
 python3-threadpoolctl  noarch 3.5.0-4.fc41      copr_base  136.8 KiB
Installing dependencies:
 annobin-docs           noarch 12.77-1.fc42      fedora      98.4 KiB
 annobin-plugin-gcc     x86_64 12.77-1.fc42      fedora     991.3 KiB
 cpp                    x86_64 14.2.1-6.fc42     fedora      35.0 MiB
 expat                  x86_64 2.6.4-1.fc42      fedora     285.5 KiB
 gcc-plugin-annobin     x86_64 14.2.1-6.fc42     fedora      57.6 KiB
 glibc-devel            x86_64 2.40.9000-20.fc42 fedora       2.3 MiB
 kernel-headers         x86_64 6.12.0-65.fc42    fedora       6.4 MiB
 libb2                  x86_64 0.98.1-12.fc41    fedora      42.2 KiB
 libmpc                 x86_64 1.3.1-6.fc41      fedora     164.7 KiB
 libstdc++-devel        x86_64 14.2.1-6.fc42     fedora      15.4 MiB
 libxcrypt-devel        x86_64 4.4.36-10.fc42    fedora      30.5 KiB
 make                   x86_64 1:4.4.1-9.fc42    fedora       1.8 MiB
 mpdecimal              x86_64 2.5.1-16.fc41     fedora     204.9 KiB
 pyproject-rpm-macros   noarch 1.16.2-1.fc42     copr_base  113.8 KiB
 python-pip-wheel       noarch 24.3.1-1.fc42     copr_base    1.2 MiB
 python-rpm-macros      noarch 3.13-3.fc41       fedora      22.1 KiB
 python3                x86_64 3.13.0-1.fc42     fedora      31.8 KiB
 python3-cloudpickle    noarch 3.1.0-1.fc42      copr_base  127.8 KiB
 python3-iniconfig      noarch 1.1.1-24.fc41     copr_base   20.6 KiB
 python3-libs           x86_64 3.13.0-1.fc42     fedora      40.4 MiB
 python3-packaging      noarch 24.2-2.fc42       copr_base  555.7 KiB
 python3-pluggy         noarch 1.5.0-1.fc41      copr_base  193.2 KiB
 python3-rpm-generators noarch 14-11.fc41        fedora      81.7 KiB
 python3-rpm-macros     noarch 3.13-3.fc41       fedora       6.4 KiB
 tzdata                 noarch 2024a-9.fc41      fedora       1.7 MiB

Transaction Summary:
 Installing:        32 packages

Total size of inbound packages is 86 MiB. Need to download 86 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% |   1.8 MiB/s | 402.5 KiB |  00m00s
[ 2/32] python3-joblib-0:1.4.2-3.fc41.n 100% |   2.0 MiB/s | 529.6 KiB |  00m00s
[ 3/32] gcc-c++-0:14.2.1-6.fc42.x86_64  100% |   8.1 MiB/s |  14.2 MiB |  00m02s
[ 4/32] python3-setuptools-0:74.1.3-4.f 100% |   1.4 MiB/s |   1.8 MiB |  00m01s
[ 5/32] python3-threadpoolctl-0:3.5.0-4 100% | 917.3 KiB/s |  44.9 KiB |  00m00s
[ 6/32] libmpc-0:1.3.1-6.fc41.x86_64    100% |   1.3 MiB/s |  71.1 KiB |  00m00s
[ 7/32] make-1:4.4.1-9.fc42.x86_64      100% |   5.6 MiB/s | 586.3 KiB |  00m00s
[ 8/32] cpp-0:14.2.1-6.fc42.x86_64      100% |  11.5 MiB/s |  11.9 MiB |  00m01s
[ 9/32] expat-0:2.6.4-1.fc42.x86_64     100% | 140.4 KiB/s | 114.5 KiB |  00m01s
[10/32] python3-libs-0:3.13.0-1.fc42.x8 100% |   5.3 MiB/s |   9.1 MiB |  00m02s
[11/32] libb2-0:0.98.1-12.fc41.x86_64   100% | 855.9 KiB/s |  25.7 KiB |  00m00s
[12/32] mpdecimal-0:2.5.1-16.fc41.x86_6 100% |   3.5 MiB/s |  89.0 KiB |  00m00s
[13/32] gcc-0:14.2.1-6.fc42.x86_64      100% |   9.1 MiB/s |  37.0 MiB |  00m04s
[14/32] tzdata-0:2024a-9.fc41.noarch    100% |   1.7 MiB/s | 714.7 KiB |  00m00s
[15/32] python3-pytest-0:8.3.3-3.fc42.n 100% |   5.4 MiB/s |   2.1 MiB |  00m00s
[16/32] python3-iniconfig-0:1.1.1-24.fc 100% |   1.1 MiB/s |  18.6 KiB |  00m00s
[17/32] python3-pluggy-0:1.5.0-1.fc41.n 100% |   2.6 MiB/s |  53.7 KiB |  00m00s
[18/32] python3-0:3.13.0-1.fc42.x86_64  100% |   1.4 MiB/s |  27.8 KiB |  00m00s
[19/32] python3-packaging-0:24.2-2.fc42 100% |   2.3 MiB/s | 144.2 KiB |  00m00s
[20/32] glibc-devel-0:2.40.9000-20.fc42 100% |   9.3 MiB/s | 644.1 KiB |  00m00s
[21/32] libstdc++-devel-0:14.2.1-6.fc42 100% |  26.3 MiB/s |   2.8 MiB |  00m00s
[22/32] libxcrypt-devel-0:4.4.36-10.fc4 100% |   1.3 MiB/s |  28.9 KiB |  00m00s
[23/32] kernel-headers-0:6.12.0-65.fc42 100% |  30.3 MiB/s |   1.6 MiB |  00m00s
[24/32] python-pip-wheel-0:24.3.1-1.fc4 100% |   6.5 MiB/s |   1.2 MiB |  00m00s
[25/32] python3-cloudpickle-0:3.1.0-1.f 100% | 644.7 KiB/s |  47.7 KiB |  00m00s
[26/32] gcc-plugin-annobin-0:14.2.1-6.f 100% |   2.2 MiB/s |  57.1 KiB |  00m00s
[27/32] annobin-docs-0:12.77-1.fc42.noa 100% |   3.2 MiB/s |  92.4 KiB |  00m00s
[28/32] python-rpm-macros-0:3.13-3.fc41 100% | 883.4 KiB/s |  17.7 KiB |  00m00s
[29/32] python3-rpm-generators-0:14-11. 100% |   1.6 MiB/s |  29.3 KiB |  00m00s
[30/32] python3-rpm-macros-0:3.13-3.fc4 100% | 732.0 KiB/s |  12.4 KiB |  00m00s
[31/32] annobin-plugin-gcc-0:12.77-1.fc 100% |  10.4 MiB/s | 977.2 KiB |  00m00s
[32/32] pyproject-rpm-macros-0:1.16.2-1 100% | 960.8 KiB/s |  45.2 KiB |  00m00s
--------------------------------------------------------------------------------
[32/32] Total                           100% |  19.6 MiB/s |  86.4 MiB |  00m04s
Running transaction
[ 1/34] Verify package files            100% | 111.0   B/s |  32.0   B |  00m00s
[ 2/34] Prepare transaction             100% | 367.0   B/s |  32.0   B |  00m00s
[ 3/34] Installing python-rpm-macros-0: 100% |  22.3 MiB/s |  22.8 KiB |  00m00s
[ 4/34] Installing libmpc-0:1.3.1-6.fc4 100% |  81.1 MiB/s | 166.2 KiB |  00m00s
[ 5/34] Installing python3-rpm-macros-0 100% |   6.5 MiB/s |   6.7 KiB |  00m00s
[ 6/34] Installing pyproject-rpm-macros 100% |  16.1 MiB/s | 115.7 KiB |  00m00s
[ 7/34] Installing cpp-0:14.2.1-6.fc42. 100% |  15.2 MiB/s |  35.0 MiB |  00m02s
[ 8/34] Installing annobin-docs-0:12.77 100% |   9.7 MiB/s |  99.5 KiB |  00m00s
[ 9/34] Installing kernel-headers-0:6.1 100% |  65.9 MiB/s |   6.6 MiB |  00m00s
[10/34] Installing libxcrypt-devel-0:4. 100% |   8.0 MiB/s |  32.9 KiB |  00m00s
[11/34] Installing glibc-devel-0:2.40.9 100% |  37.6 MiB/s |   2.3 MiB |  00m00s
[12/34] Installing libstdc++-devel-0:14 100% |  44.3 MiB/s |  15.6 MiB |  00m00s
[13/34] Installing python-pip-wheel-0:2 100% | 124.4 MiB/s |   1.2 MiB |  00m00s
[14/34] Installing tzdata-0:2024a-9.fc4 100% |  17.5 MiB/s |   1.9 MiB |  00m00s
[15/34] Installing mpdecimal-0:2.5.1-16 100% |  20.1 MiB/s | 206.0 KiB |  00m00s
[16/34] Installing libb2-0:0.98.1-12.fc 100% |  42.3 MiB/s |  43.3 KiB |  00m00s
[17/34] Installing expat-0:2.6.4-1.fc42 100% |  31.2 MiB/s | 287.6 KiB |  00m00s
[18/34] Installing python3-libs-0:3.13. 100% |  66.3 MiB/s |  40.7 MiB |  00m01s
[19/34] Installing python3-0:3.13.0-1.f 100% |  10.9 MiB/s |  33.5 KiB |  00m00s
[20/34] Installing python3-packaging-0: 100% |  69.3 MiB/s | 568.0 KiB |  00m00s
[21/34] Installing python3-rpm-generato 100% |  81.0 MiB/s |  82.9 KiB |  00m00s
[22/34] Installing python3-iniconfig-0: 100% |  11.5 MiB/s |  23.6 KiB |  00m00s
[23/34] Installing python3-pluggy-0:1.5 100% |   8.9 MiB/s | 199.4 KiB |  00m00s
[24/34] Installing python3-cloudpickle- 100% |  42.8 MiB/s | 131.5 KiB |  00m00s
[25/34] Installing make-1:4.4.1-9.fc42. 100% |  81.8 MiB/s |   1.8 MiB |  00m00s
[26/34] Installing gcc-0:14.2.1-6.fc42. 100% |  71.2 MiB/s | 104.3 MiB |  00m01s
[27/34] Installing gcc-c++-0:14.2.1-6.f 100% |  78.0 MiB/s |  38.1 MiB |  00m00s
[28/34] Installing annobin-plugin-gcc-0 100% |  26.9 MiB/s | 992.9 KiB |  00m00s
[29/34] Installing gcc-plugin-annobin-0 100% |   1.4 MiB/s |  59.2 KiB |  00m00s
[30/34] Installing python3-joblib-0:1.4 100% |  36.0 MiB/s |   2.2 MiB |  00m00s
[31/34] Installing python3-pytest-0:8.3 100% |  83.8 MiB/s |  21.0 MiB |  00m00s
[32/34] Installing python3-devel-0:3.13 100% |  72.6 MiB/s |   1.8 MiB |  00m00s
[33/34] Installing python3-setuptools-0 100% |  90.1 MiB/s |   8.6 MiB |  00m00s
[34/34] Installing python3-threadpoolct 100% | 504.9 KiB/s | 138.9 KiB |  00m00s
Warning: skipped PGP checks for 9 packages from repository: copr_base
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.6PBOLx
+ 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.p4sZg0
+ 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.4WNIT4
+ 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% | 815.7 KiB/s |  28.5 KiB |  00m00s
 Copr repository                        100% |  47.9 KiB/s |   1.5 KiB |  00m00s
 fedora                                 100% | 800.7 KiB/s | 478.0 KiB |  00m01s
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.fc41.noarch" is already installed.
Package "python3-packaging-24.2-2.fc42.noarch" is already installed.
Package "python3-pytest-8.3.3-3.fc42.noarch" is already installed.
Package "python3-setuptools-74.1.3-4.fc42.noarch" is already installed.
Package "python3-threadpoolctl-3.5.0-4.fc41.noarch" is already installed.

Package                     Arch   Version          Repository      Size
Installing:
 python3-cython             x86_64 3.0.11-1.fc41    fedora      18.1 MiB
 python3-meson-python       noarch 0.17.1-1.fc42    fedora     277.7 KiB
 python3-numpy              x86_64 1:1.26.4-8.fc41  copr_base   43.8 MiB
 python3-pip                noarch 24.3.1-1.fc42    copr_base   11.3 MiB
 python3-scipy              x86_64 1.14.1-1.fc42    copr_base   67.1 MiB
Installing dependencies:
 emacs-filesystem           noarch 1:30.0-3.fc41    fedora       0.0   B
 flexiblas                  x86_64 3.4.4-3.fc41     fedora      48.5 KiB
 flexiblas-netlib           x86_64 3.4.4-3.fc41     fedora      10.7 MiB
 flexiblas-openblas-openmp  x86_64 3.4.4-3.fc41     fedora      43.3 KiB
 libgfortran                x86_64 14.2.1-6.fc42    fedora       3.0 MiB
 libquadmath                x86_64 14.2.1-6.fc42    fedora     325.9 KiB
 meson                      noarch 1.5.1-1.fc42     fedora      11.4 MiB
 ninja-build                x86_64 1.12.1-3.fc41    fedora     432.6 KiB
 openblas                   x86_64 0.3.28-1.fc42    fedora     106.6 KiB
 openblas-openmp            x86_64 0.3.28-1.fc42    fedora      39.4 MiB
 patchelf                   x86_64 0.18.0-5.fc41    fedora     283.6 KiB
 python3-charset-normalizer noarch 3.4.0-1.fc42     copr_base  319.9 KiB
 python3-idna               noarch 3.10-1.fc42      copr_base  628.0 KiB
 python3-numpy-f2py         x86_64 1:1.26.4-8.fc41  copr_base    2.8 MiB
 python3-platformdirs       noarch 4.2.2-3.fc42     copr_base  168.4 KiB
 python3-pooch              noarch 1.8.2-4.fc42     copr_base  625.5 KiB
 python3-pyproject-metadata noarch 0.8.0-4.fc41     copr_base   92.0 KiB
 python3-requests           noarch 2.32.3-3.fc42    copr_base  485.8 KiB
 python3-urllib3            noarch 2.2.3-5.fc42     copr_base    1.0 MiB
 vim-filesystem             noarch 2:9.1.866-1.fc42 fedora      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-numpy-1:1.26.4-8.fc41.x 100% |  20.2 MiB/s |   7.4 MiB |  00m00s
[ 2/25] python3-pip-0:24.3.1-1.fc42.noa 100% |  40.6 MiB/s |   2.5 MiB |  00m00s
[ 3/25] python3-meson-python-0:0.17.1-1 100% | 183.0 KiB/s |  86.2 KiB |  00m00s
[ 4/25] python3-scipy-0:1.14.1-1.fc42.x 100% |  56.5 MiB/s |  17.1 MiB |  00m00s
[ 5/25] python3-cython-0:3.0.11-1.fc41. 100% |   5.1 MiB/s |   3.9 MiB |  00m01s
[ 6/25] meson-0:1.5.1-1.fc42.noarch     100% |   7.3 MiB/s |   2.2 MiB |  00m00s
[ 7/25] libgfortran-0:14.2.1-6.fc42.x86 100% |   9.2 MiB/s | 939.2 KiB |  00m00s
[ 8/25] ninja-build-0:1.12.1-3.fc41.x86 100% |   3.7 MiB/s | 180.0 KiB |  00m00s
[ 9/25] flexiblas-0:3.4.4-3.fc41.x86_64 100% | 903.0 KiB/s |  25.3 KiB |  00m00s
[10/25] flexiblas-netlib-0:3.4.4-3.fc41 100% |  17.6 MiB/s |   3.2 MiB |  00m00s
[11/25] patchelf-0:0.18.0-5.fc41.x86_64 100% | 580.9 KiB/s | 125.5 KiB |  00m00s
[12/25] flexiblas-openblas-openmp-0:3.4 100% | 615.9 KiB/s |  17.2 KiB |  00m00s
[13/25] emacs-filesystem-1:30.0-3.fc41. 100% | 255.1 KiB/s |   7.1 KiB |  00m00s
[14/25] libquadmath-0:14.2.1-6.fc42.x86 100% |   5.9 MiB/s | 204.3 KiB |  00m00s
[15/25] vim-filesystem-2:9.1.866-1.fc42 100% | 587.1 KiB/s |  16.4 KiB |  00m00s
[16/25] python3-pyproject-metadata-0:0. 100% | 795.9 KiB/s |  31.8 KiB |  00m00s
[17/25] openblas-0:0.3.28-1.fc42.x86_64 100% |   1.4 MiB/s |  41.0 KiB |  00m00s
[18/25] python3-numpy-f2py-1:1.26.4-8.f 100% |   6.6 MiB/s | 501.7 KiB |  00m00s
[19/25] python3-pooch-0:1.8.2-4.fc42.no 100% |   1.2 MiB/s | 126.9 KiB |  00m00s
[20/25] python3-platformdirs-0:4.2.2-3. 100% |   1.2 MiB/s |  41.5 KiB |  00m00s
[21/25] python3-charset-normalizer-0:3. 100% |   2.6 MiB/s | 101.8 KiB |  00m00s
[22/25] python3-requests-0:2.32.3-3.fc4 100% |   2.5 MiB/s | 149.6 KiB |  00m00s
[23/25] openblas-openmp-0:0.3.28-1.fc42 100% |  21.4 MiB/s |   5.1 MiB |  00m00s
[24/25] python3-urllib3-0:2.2.3-5.fc42. 100% |   6.3 MiB/s | 259.6 KiB |  00m00s
[25/25] python3-idna-0:3.10-1.fc42.noar 100% |   1.7 MiB/s | 112.3 KiB |  00m00s
--------------------------------------------------------------------------------
[25/25] Total                           100% |  35.0 MiB/s |  44.2 MiB |  00m01s
Running transaction
[ 1/27] Verify package files            100% | 151.0   B/s |  25.0   B |  00m00s
[ 2/27] Prepare transaction             100% | 274.0   B/s |  25.0   B |  00m00s
[ 3/27] Installing libgfortran-0:14.2.1 100% | 234.2 MiB/s |   3.0 MiB |  00m00s
[ 4/27] Installing python3-idna-0:3.10- 100% | 123.9 MiB/s | 634.3 KiB |  00m00s
[ 5/27] Installing python3-urllib3-0:2. 100% | 100.2 MiB/s |   1.0 MiB |  00m00s
[ 6/27] Installing python3-charset-norm 100% |  80.5 MiB/s | 329.8 KiB |  00m00s
[ 7/27] Installing python3-requests-0:2 100% |  97.3 MiB/s | 497.9 KiB |  00m00s
[ 8/27] Installing python3-platformdirs 100% |  56.9 MiB/s | 174.9 KiB |  00m00s
[ 9/27] Installing python3-pooch-0:1.8. 100% |  89.4 MiB/s | 640.5 KiB |  00m00s
[10/27] Installing openblas-0:0.3.28-1. 100% | 105.8 MiB/s | 108.3 KiB |  00m00s
[11/27] Installing openblas-openmp-0:0. 100% | 176.6 MiB/s |  39.4 MiB |  00m00s
[12/27] Installing python3-pyproject-me 100% |  46.4 MiB/s |  95.0 KiB |  00m00s
[13/27] Installing vim-filesystem-2:9.1 100% |   2.3 MiB/s |   4.7 KiB |  00m00s
[14/27] Installing emacs-filesystem-1:3 100% |   0.0   B/s | 544.0   B |  00m00s
[15/27] Installing ninja-build-0:1.12.1 100% |  70.9 MiB/s | 435.8 KiB |  00m00s
[16/27] Installing meson-0:1.5.1-1.fc42 100% |  23.2 MiB/s |  11.5 MiB |  00m00s
[17/27] Installing libquadmath-0:14.2.1 100% |  79.9 MiB/s | 327.2 KiB |  00m00s
[18/27] Installing flexiblas-0:3.4.4-3. 100% |  24.3 MiB/s |  49.7 KiB |  00m00s
[19/27] Installing flexiblas-openblas-o 100% |  21.6 MiB/s |  44.1 KiB |  00m00s
[20/27] Installing flexiblas-netlib-0:3 100% | 127.0 MiB/s |  10.7 MiB |  00m00s
[21/27] Installing python3-numpy-1:1.26 100% |  64.5 MiB/s |  44.1 MiB |  00m01s
[22/27] Installing python3-numpy-f2py-1 100% |  61.6 MiB/s |   2.8 MiB |  00m00s
[23/27] Installing patchelf-0:0.18.0-5. 100% |  69.7 MiB/s | 285.4 KiB |  00m00s
[24/27] Installing python3-meson-python 100% |  34.6 MiB/s | 283.7 KiB |  00m00s
[25/27] Installing python3-scipy-0:1.14 100% |  99.4 MiB/s |  67.5 MiB |  00m01s
[26/27] Installing python3-pip-0:24.3.1 100% |  24.4 MiB/s |  11.6 MiB |  00m00s
[27/27] Installing python3-cython-0:3.0 100% |  47.2 MiB/s |  18.3 MiB |  00m00s
Warning: skipped PGP checks for 11 packages from repository: copr_base
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.vOHyFw
+ 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:
 fedora                                 100% | 815.7 KiB/s |  28.5 KiB |  00m00s
 Copr repository                        100% |  45.1 KiB/s |   1.5 KiB |  00m00s
 fedora                                 100% | 489.3 KiB/s | 478.0 KiB |  00m01s
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.fc41.x86_64" is already installed.
Package "python3-joblib-1.4.2-3.fc41.noarch" is already installed.
Package "python3-joblib-1.4.2-3.fc41.noarch" is already installed.
Package "python3-meson-python-0.17.1-1.fc42.noarch" is already installed.
Package "python3-numpy-1:1.26.4-8.fc41.x86_64" is already installed.
Package "python3-numpy-1:1.26.4-8.fc41.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.fc41.noarch" is already installed.
Package "python3-threadpoolctl-3.5.0-4.fc41.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.X34bg4
+ 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.NXKWTw
+ 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-3g1k0hzv -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-3g1k0hzv/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-3g1k0hzv
  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-3g1k0hzv/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
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  warning: sklearn/neighbors/_binary_tree.pxi:3981:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:4038:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:4039:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
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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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  sklearn/datasets/_svmlight_format_fast.cpython-313-x86_64-linux-gnu.so.p/sklearn/datasets/_svmlight_format_fast.pyx.c:3297:9: warning: ‘Py_UNICODE’ is deprecated [-Wdeprecated-declarations]
   3297 |         Py_UNICODE *as_pyunicodes;
        |         ^~~~~~~~~~
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  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__recursive_build’:
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: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;
        |                                                       ^~~~~~~~~~~~~~~~~~~~~
  [169/249] 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;
        |                                                       ^~~~~~~~~~~~~~~~~~~~~
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  [179/249] Compiling C object sklearn/tree/_criterion.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_tree__criterion.pyx.c.o
  [180/249] Generating sklearn/write_built_with_meson_file with a custom command
  [181/249] 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=49433471 sha256=f0e31cf5b6b4abc07941634c7ec96158e9dfbc30acc0a9971931fed481415d0e
  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.529YVo
+ 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
++ sed -E 's/([^-]+)-([^-]+)-.+\.whl/\1==\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
+ 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 -j2 --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
cpio: .mesonpy-3g1k0hzv/: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/__check_build/_check_build.cpython-313-x86_64-linux-gnu.so.p/sklearn/__check_build/_check_build.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/_isotonic.cpython-313-x86_64-linux-gnu.so.p/sklearn/_isotonic.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/_loss/_loss.cpython-313-x86_64-linux-gnu.so.p/sklearn/_loss/_loss.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/cluster/_dbscan_inner.cpython-313-x86_64-linux-gnu.so.p/sklearn/cluster/_dbscan_inner.pyx.cpp: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/cluster/_hdbscan/_linkage.cpython-313-x86_64-linux-gnu.so.p/sklearn/cluster/_hdbscan/_linkage.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/cluster/_hdbscan/_reachability.cpython-313-x86_64-linux-gnu.so.p/sklearn/cluster/_hdbscan/_reachability.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/cluster/_hdbscan/_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/cluster/_hdbscan/_tree.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/cluster/_hierarchical_fast.cpython-313-x86_64-linux-gnu.so.p/sklearn/cluster/_hierarchical_fast.pyx.cpp: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/cluster/_k_means_common.cpython-313-x86_64-linux-gnu.so.p/sklearn/cluster/_k_means_common.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/cluster/_k_means_elkan.cpython-313-x86_64-linux-gnu.so.p/sklearn/cluster/_k_means_elkan.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/cluster/_k_means_lloyd.cpython-313-x86_64-linux-gnu.so.p/sklearn/cluster/_k_means_lloyd.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/cluster/_k_means_minibatch.cpython-313-x86_64-linux-gnu.so.p/sklearn/cluster/_k_means_minibatch.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/datasets/_svmlight_format_fast.cpython-313-x86_64-linux-gnu.so.p/sklearn/datasets/_svmlight_format_fast.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/decomposition/_cdnmf_fast.cpython-313-x86_64-linux-gnu.so.p/sklearn/decomposition/_cdnmf_fast.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/decomposition/_online_lda_fast.cpython-313-x86_64-linux-gnu.so.p/sklearn/decomposition/_online_lda_fast.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/ensemble/_gradient_boosting.cpython-313-x86_64-linux-gnu.so.p/sklearn/ensemble/_gradient_boosting.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/ensemble/_hist_gradient_boosting/_binning.cpython-313-x86_64-linux-gnu.so.p/sklearn/ensemble/_hist_gradient_boosting/_binning.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/ensemble/_hist_gradient_boosting/_bitset.cpython-313-x86_64-linux-gnu.so.p/sklearn/ensemble/_hist_gradient_boosting/_bitset.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/ensemble/_hist_gradient_boosting/_gradient_boosting.cpython-313-x86_64-linux-gnu.so.p/sklearn/ensemble/_hist_gradient_boosting/_gradient_boosting.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/ensemble/_hist_gradient_boosting/_predictor.cpython-313-x86_64-linux-gnu.so.p/sklearn/ensemble/_hist_gradient_boosting/_predictor.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/ensemble/_hist_gradient_boosting/common.cpython-313-x86_64-linux-gnu.so.p/sklearn/ensemble/_hist_gradient_boosting/common.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/ensemble/_hist_gradient_boosting/histogram.cpython-313-x86_64-linux-gnu.so.p/sklearn/ensemble/_hist_gradient_boosting/histogram.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/ensemble/_hist_gradient_boosting/splitting.cpython-313-x86_64-linux-gnu.so.p/sklearn/ensemble/_hist_gradient_boosting/splitting.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/feature_extraction/_hashing_fast.cpython-313-x86_64-linux-gnu.so.p/sklearn/feature_extraction/_hashing_fast.pyx.cpp: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/linear_model/_cd_fast.cpython-313-x86_64-linux-gnu.so.p/sklearn/linear_model/_cd_fast.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/linear_model/_sag_fast.cpython-313-x86_64-linux-gnu.so.p/sklearn/linear_model/_sag_fast.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/linear_model/_sgd_fast.cpython-313-x86_64-linux-gnu.so.p/sklearn/linear_model/_sgd_fast.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/manifold/_barnes_hut_tsne.cpython-313-x86_64-linux-gnu.so.p/sklearn/manifold/_barnes_hut_tsne.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/manifold/_utils.cpython-313-x86_64-linux-gnu.so.p/sklearn/manifold/_utils.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/metrics/_dist_metrics.cpython-313-x86_64-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-313-x86_64-linux-gnu.so.p/sklearn/metrics/_pairwise_distances_reduction/_argkmin.pyx.cpp: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode.cpython-313-x86_64-linux-gnu.so.p/sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode.pyx.cpp: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/metrics/_pairwise_distances_reduction/_base.cpython-313-x86_64-linux-gnu.so.p/sklearn/metrics/_pairwise_distances_reduction/_base.pyx.cpp: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/metrics/_pairwise_distances_reduction/_datasets_pair.cpython-313-x86_64-linux-gnu.so.p/sklearn/metrics/_pairwise_distances_reduction/_datasets_pair.pyx.cpp: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer.cpython-313-x86_64-linux-gnu.so.p/sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer.pyx.cpp: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-313-x86_64-linux-gnu.so.p/sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.pyx.cpp: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_classmode.cpython-313-x86_64-linux-gnu.so.p/sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_classmode.pyx.cpp: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/metrics/_pairwise_fast.cpython-313-x86_64-linux-gnu.so.p/sklearn/metrics/_pairwise_fast.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/metrics/cluster/_expected_mutual_info_fast.cpython-313-x86_64-linux-gnu.so.p/sklearn/metrics/cluster/_expected_mutual_info_fast.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/neighbors/_partition_nodes.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_partition_nodes.pyx.cpp: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/neighbors/_quad_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_quad_tree.pyx.c: Cannot stat: No such file or directory
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cpio: .mesonpy-3g1k0hzv/sklearn/tree/_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/tree/_tree.pyx.cpp: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/tree/_utils.cpython-313-x86_64-linux-gnu.so.p/sklearn/tree/_utils.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/utils/_cython_blas.cpython-313-x86_64-linux-gnu.so.p/sklearn/utils/_cython_blas.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/utils/_fast_dict.cpython-313-x86_64-linux-gnu.so.p/sklearn/utils/_fast_dict.pyx.cpp: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/utils/_heap.cpython-313-x86_64-linux-gnu.so.p/sklearn/utils/_heap.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/utils/_isfinite.cpython-313-x86_64-linux-gnu.so.p/sklearn/utils/_isfinite.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/utils/_openmp_helpers.cpython-313-x86_64-linux-gnu.so.p/sklearn/utils/_openmp_helpers.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/utils/_random.cpython-313-x86_64-linux-gnu.so.p/sklearn/utils/_random.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/utils/_seq_dataset.cpython-313-x86_64-linux-gnu.so.p/sklearn/utils/_seq_dataset.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/utils/_sorting.cpython-313-x86_64-linux-gnu.so.p/sklearn/utils/_sorting.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/utils/_typedefs.cpython-313-x86_64-linux-gnu.so.p/sklearn/utils/_typedefs.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/utils/_vector_sentinel.cpython-313-x86_64-linux-gnu.so.p/sklearn/utils/_vector_sentinel.pyx.cpp: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/utils/_weight_vector.cpython-313-x86_64-linux-gnu.so.p/sklearn/utils/_weight_vector.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/utils/arrayfuncs.cpython-313-x86_64-linux-gnu.so.p/sklearn/utils/arrayfuncs.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/utils/murmurhash.cpython-313-x86_64-linux-gnu.so.p/sklearn/utils/murmurhash.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-3g1k0hzv/sklearn/utils/sparsefuncs_fast.cpython-313-x86_64-linux-gnu.so.p/sklearn/utils/sparsefuncs_fast.pyx.c: Cannot stat: No such file or directory
find-debuginfo: done
+ /usr/lib/rpm/check-buildroot
+ /usr/lib/rpm/redhat/brp-ldconfig
+ /usr/lib/rpm/brp-compress
+ /usr/lib/rpm/redhat/brp-strip-lto /usr/bin/strip
+ /usr/lib/rpm/brp-strip-static-archive /usr/bin/strip
+ /usr/lib/rpm/check-rpaths
+ /usr/lib/rpm/redhat/brp-mangle-shebangs
*** WARNING: ./usr/lib64/python3.13/site-packages/sklearn/cluster/_optics.py is executable but has no shebang, removing executable bit
*** WARNING: ./usr/lib64/python3.13/site-packages/sklearn/ensemble/tests/test_weight_boosting.py is executable but has no shebang, removing executable bit
+ /usr/lib/rpm/brp-remove-la-files
+ env /usr/lib/rpm/redhat/brp-python-bytecompile '' 1 0 -j2
Bytecompiling .py files below /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13 using python3.13
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
+ /usr/lib/rpm/redhat/brp-python-hardlink
+ /usr/bin/add-determinism --brp -j2 /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT
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Scanned 237 directories and 2102 files,
               processed 811 inodes,
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               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.ngdc79
+ 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'
+ pushd /builddir/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/BUILDROOT/usr/lib64/python3.13/site-packages ~/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2
+ pytest --deselect 'sklearn/datasets/tests/test_openml.py::test_fetch_openml_verify_checksum[True-liac-arff]' --deselect 'sklearn/datasets/tests/test_openml.py::test_fetch_openml_verify_checksum[False-liac-arff]' --deselect 'sklearn/datasets/tests/test_openml.py::test_fetch_openml_verify_checksum[True-pandas]' --deselect 'sklearn/datasets/tests/test_openml.py::test_fetch_openml_verify_checksum[False-pandas]' --deselect sklearn/covariance/tests/test_covariance.py --deselect sklearn/covariance/tests/test_robust_covariance.py --deselect sklearn/linear_model/tests/test_bayes.py::test_toy_ard_object --deselect 'sklearn/linear_model/tests/test_bayes.py::test_ard_accuracy_on_easy_problem[42-10-100]' --deselect 'sklearn/linear_model/tests/test_bayes.py::test_ard_accuracy_on_easy_problem[42-100-10]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_estimators_dtypes]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_regressors_no_decision_function]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_methods_sample_order_invariance]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_methods_subset_invariance]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_dont_overwrite_parameters]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_fit2d_predict1d]' --deselect 'sklearn/tests/test_common.py::test_estimators[EllipticEnvelope()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[EmpiricalCovariance()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[FastICA()-check_methods_sample_order_invariance]' --deselect 'sklearn/tests/test_common.py::test_estimators[FastICA()-check_methods_subset_invariance]' --deselect 'sklearn/tests/test_common.py::test_estimators[FastICA()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[FastICA()-check_dict_unchanged]' --deselect 'sklearn/tests/test_common.py::test_estimators[FastICA()-check_dont_overwrite_parameters]' --deselect 'sklearn/tests/test_common.py::test_estimators[FastICA()-check_fit2d_predict1d]' --deselect 'sklearn/tests/test_common.py::test_estimators[KernelPCA()-check_fit2d_1sample]' --deselect 'sklearn/tests/test_common.py::test_estimators[LedoitWolf()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[MinCovDet()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[OAS()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[RidgeCV()-check_fit2d_1sample]' --deselect 'sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV()-check_fit2d_1sample]' --deselect 'sklearn/tests/test_common.py::test_estimators[ShrunkCovariance()-check_fit2d_1feature]' --deselect 'sklearn/utils/tests/test_validation.py::test_check_is_fitted_with_attributes[list]' --deselect sklearn/utils/tests/test_validation.py::test_check_is_fitted sklearn
============================= test session starts ==============================
platform linux -- Python 3.13.0, pytest-8.3.3, pluggy-1.5.0
rootdir: /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages
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=============================== warnings summary ===============================
sklearn/utils/estimator_checks.py:457: 10 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:457: SkipTestWarning: Can't instantiate estimator ColumnTransformer parameters ['transformers']
    warnings.warn(msg, SkipTestWarning)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

sklearn/cluster/tests/test_mean_shift.py: 3 warnings
sklearn/compose/tests/test_column_transformer.py: 2 warnings
sklearn/decomposition/tests/test_dict_learning.py: 6 warnings
sklearn/decomposition/tests/test_online_lda.py: 2 warnings
sklearn/ensemble/tests/test_bagging.py: 2 warnings
sklearn/manifold/tests/test_mds.py: 1 warning
sklearn/metrics/tests/test_pairwise.py: 2 warnings
sklearn/model_selection/tests/test_search.py: 4 warnings
sklearn/neighbors/tests/test_kd_tree.py: 2 warnings
sklearn/neighbors/tests/test_neighbors.py: 2 warnings
sklearn/tests/test_multioutput.py: 2 warnings
  /usr/lib/python3.13/site-packages/joblib/externals/loky/backend/fork_exec.py:38: DeprecationWarning: This process (pid=13567) 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: 0.0008809462491800035, tolerance: 8.876533008162483e-05
    coefs, _, _, _ = cd_fast.enet_coordinate_descent_gram(

sklearn/covariance/tests/test_graphical_lasso.py::test_graphical_lasso_n_iter[cd]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-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: 0.0010103266374812958, tolerance: 8.968620303769849e-05
    coefs, _, _, _ = cd_fast.enet_coordinate_descent_gram(

sklearn/covariance/tests/test_graphical_lasso.py::test_graphical_lasso_n_iter[cd]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-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: 0.002290488556457415, tolerance: 0.00011435637954661178
    coefs, _, _, _ = cd_fast.enet_coordinate_descent_gram(

sklearn/covariance/tests/test_graphical_lasso.py::test_graphical_lasso_n_iter[cd]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-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: 6 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: 4 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[ExtraTreesClassifier]
  /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/kernels.py:452: ConvergenceWarning: The optimal value found for dimension 0 of parameter constant_value is close to the specified upper bound 100000.0. Increasing the bound and calling fit again may find a better value.
    warnings.warn(

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

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

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

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

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

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

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

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

sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_nonfinite_params
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: 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: 1.285830869609557e-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: 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: 1.4340335165128714e-15
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/linear_model/tests/test_coordinate_descent.py: 46 warnings
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-15, tolerance: 1.4257797990385122e-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: 1.4257797990385122e-15
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/linear_model/tests/test_coordinate_descent.py: 36 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: 1.3875425663975809e-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: 1.3875425663975809e-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:697: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.553e-15, tolerance: 1.738e-15
    model = cd_fast.enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-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: 1.0125233984581428e-13, 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-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: 1.474376176702208e-13, 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: 7.105427357601002e-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-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: 1.4340335165128714e-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: 1.4340335165128714e-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: 1.4257797990385122e-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: 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: 5.861977570020827e-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: 1.3875425663975809e-15
    model = cd_fast.sparse_enet_coordinate_descent(

sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5.329070518200751e-15, tolerance: 1.3875425663975809e-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: 1.3875425663975809e-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: 2.5515863893489263, tolerance: 2.1444555087788615
    ) = cd_fast.enet_coordinate_descent_multi_task(

sklearn/linear_model/tests/test_coordinate_descent.py::test_multitask_enet_and_lasso_cv
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:2639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 2.1730065816502204, tolerance: 2.1444555087788615
    ) = cd_fast.enet_coordinate_descent_multi_task(

sklearn/linear_model/tests/test_coordinate_descent.py::test_check_input_false
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:697: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 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: 8.494e-07, tolerance: 1.723e-07
    model = cd_fast.enet_coordinate_descent(

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

sklearn/linear_model/tests/test_coordinate_descent.py::test_check_input_false
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:697: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.222e-06, 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: 62.45000000000001, 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: 56.96052631578947, 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: 61.263684210526314, 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: 3.771904761904768, tolerance: 0.0029000000000000002
    model = cd_fast.enet_coordinate_descent_gram(

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

sklearn/linear_model/tests/test_ridge.py::test_lbfgs_solver_consistency[1.0]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:359: ConvergenceWarning: The lbfgs solver did not converge. Try increasing max_iter or tol. Currently: max_iter=500000 and tol=1e-16
    warnings.warn(

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006076933278708063, 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: 0.000651677209417334, 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: 0.0006916869207384546, 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: 0.0007609219502504039, 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: 0.000789479237766566, 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: 0.0008136999927901289, 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: 0.0008334724343005973, 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: 0.0008487677112918313, 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: 0.0008596329247334278, 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: 0.0008661826900739911, 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: 0.0008685897580831825, 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: 0.0008670751690542655, 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: 0.0008618983558484616, 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: 0.000853347542006111, 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: 0.0008417307081683145, 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: 0.0008273673282853111, 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: 0.0008105810103075095, 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: 0.0007916931166837282, 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: 0.0007710173895070782, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

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

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007254939244646375, 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: 0.0007012007266818804, 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: 0.0006762244102441473, 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: 0.0006251110892016298, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005993648542905877, 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: 0.000573717431364737, 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: 0.0005483121488559228, 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: 0.0005232729927336088, 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: 0.000498705752529055, 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: 0.000474699287642405, 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: 0.00042864752310502185, 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: 0.00040670744120062385, 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: 0.00038554126732209815, 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: 0.00036517340516276087, 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: 0.040355130724988086, 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: 0.07739310570162683, 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: 0.09902515325135042, 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: 0.11518341998168413, 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: 0.12984038092936867, 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: 0.14436772132098685, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

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

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1744830350128037, 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: 0.1901827276425836, 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: 0.2062579562413145, 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: 0.22263859368161665, 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: 0.23924660775339657, 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: 0.2560012831408134, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

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

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2896308925640687, 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: 0.306352845889041, 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: 0.3229180320349405, 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: 0.33926202144709183, 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: 0.35532651689011896, 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: 0.37105972538398824, 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: 0.38641653339211235, 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: 0.40135850928136296, 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: 0.4158537591795679, 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: 0.42987666328293006, 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: 0.44340751929660627, 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: 0.4564321182094817, 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: 0.4689412752939144, 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: 0.48093033637076754, 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: 0.49239867628210465, 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: 0.5033492033669309, 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: 0.513787880731428, 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: 0.5237232723443874, 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: 0.5331661195590343, 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: 0.5421289515803656, 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: 0.5506257316836956, 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: 0.5586715396151307, 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: 0.566282289550311, 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: 0.5734744822047011, 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: 0.5802649891425329, 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: 0.5866708669860854, 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: 0.592709199024045, 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: 0.5983969616553177, 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: 0.6037509131151291, 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: 0.6087875020227469, 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: 0.6135227934128498, 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: 0.6179724100830546, 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: 0.6221514872566529, 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: 0.6260746387433822, 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: 0.6297559329634344, 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: 0.6332088773748539, 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: 0.6364464100050187, 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: 0.6394808969441788, 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: 0.6423241347965809, 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: 0.6449873572211899, 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: 0.6474812447873384, 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: 0.6498159375077388, 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: 0.6520010494682782, 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: 0.6540456850786853, 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: 0.003397314497805226, 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: 0.0200488381105437, 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: 0.025541531207328383, 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: 0.02889409210257554, 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: 0.03192449250641616, 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: 0.03490683655472271, 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: 0.037871226543454206, 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: 0.04080995267698828, 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: 0.04371026754195384, 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: 0.046559814558000845, 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: 0.04934758250132454, 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: 0.05206407610911956, 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: 0.05470132216371759, 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: 0.05725282257211006, 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: 0.05971347915228886, 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: 0.0620794993454723, 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: 0.06434828891725708, 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: 0.0726324751564702, 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: 0.07717723067375193, 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: 0.08020143195954521, 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: 0.08276447207212811, 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: 0.08511690453330001, 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: 0.08732063451582661, 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: 0.08939355028011775, 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: 0.09134338050753321, 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: 0.09317565303738196, 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: 0.09489553166001663, 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: 0.0965081945646995, 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: 0.10075514665171426, 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: 0.10199104663136627, 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: 0.10314546740941655, 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: 0.10422323372886133, 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: 0.10522899453688073, 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: 0.10616720751842301, 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: 0.1070421289094412, 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: 0.10861808350537938, 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: 0.10932658722159427, 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: 0.10998674418417309, 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: 0.1106017789943019, 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: 0.11117472176756849, 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: 0.11170841537179044, 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: 0.1122055233590693, 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: 0.11266853833869828, 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: 0.11309979058957964, 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: 0.11350145674600753, 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: 0.11387556843092295, 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: 0.11422402073438231, 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: 0.11454858046346761, 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: 0.11485089410798643, 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: 0.11513249548145676, 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: 0.1153948130151985, 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: 0.11563917668678947, 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: 0.1158668245782355, 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: 0.11607890906690077, 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: 0.11627650264639122, 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: 0.11646060339775577, 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: 0.11663214011160505, 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: 0.11679197708474742, 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: 0.11694091859797595, 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: 0.11707971309858767, 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: 0.11720905709790141, 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: 0.117329598802149, 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: 0.11744194149413989, 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: 0.11754664667897963, 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: 0.11764423701307347, 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: 0.11773519902045493, 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: 0.0018789191204378053, 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: 0.0018351321319098335, 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: 0.0017874547248071249, 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: 0.001733137495317616, 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: 0.001673914217038941, 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: 0.001611231418200798, 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: 0.0015462927558091422, 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: 0.0014800943557780055, 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: 0.0014134552651262622, 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: 0.00134704370673297, 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: 0.0012813996993949195, 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: 0.0012169545310702357, 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: 0.0011540475087357671, 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: 0.0010929403521548753, 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: 0.001033829550208809, 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: 0.0009768569561203477, 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: 0.0009221188612074244, 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: 0.000869673754802805, tolerance: 0.0003515507828690467
    model = cd_fast.enet_coordinate_descent_gram(

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

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007717462343133918, 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: 0.0007262466707401716, 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: 0.0006830146822979499, 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: 0.0006420015051601113, 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: 0.0006031481076795298, 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: 0.0005663876478959606, 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: 0.0005316475354102124, 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: 0.0004988511543329993, 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: 0.0004679192961518086, 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: 0.00043877134470754475, 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: 0.0004113262497675574, 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: 0.00038550332049035185, 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: 0.0003612228658945449, 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: 0.09643621762328891, 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: 0.17609508623853465, 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: 0.22927967012756856, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

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

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.28134747630126, 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: 0.29175673828636484, 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: 0.2965432830630004, 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: 0.2977501511209031, 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: 0.2966791357379348, 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: 0.2941616541072829, 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: 0.2907328896963133, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

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

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2824176858810459, 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: 0.2779165329444728, 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: 0.2733438643872885, 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: 0.26877326923745937, 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: 0.2642565671977213, 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: 0.2598305546655926, 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: 0.25552139487617165, 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: 0.2513475342968672, 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: 0.24732168786364195, 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: 0.24345222776746311, 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: 0.23974418329661784, 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: 0.23619998135851716, 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: 0.23282000952210158, 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: 0.2296030540087335, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

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

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.22364734505299388, 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: 0.2209009574961831, 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: 0.2183027305807519, 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: 0.21584750079808135, 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: 0.21352982026151146, 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: 0.21134405993279692, 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: 0.20928449427627882, 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: 0.20734537036969947, 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: 0.20552096395722064, 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: 0.20380562451486295, 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: 0.202193811069578, 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: 0.2006801202324926, 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: 0.1992593077014586, 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: 0.19792630428069824, 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: 0.1966762273288305, 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: 0.19550438839849882, 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: 0.19440629772304874, 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: 0.1933776661101323, 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: 0.19241440471419224, 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: 0.1915126230925095, 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: 0.19066862588661415, 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: 0.18987890841773858, 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: 0.18914015143723262, 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: 0.18844921524563318, 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: 0.1878031333402186, 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: 0.18719910574794696, 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: 0.1866344921502625, 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: 0.18610680490909548, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

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

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18515298039046701, 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: 0.18472256851266877, 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: 0.184320520210429, 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: 0.1839450078517375, 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: 0.18359431604184984, tolerance: 0.0011556651894331143
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03984268428484139, tolerance: 0.0009057236821572533
    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: 0.05851081477217335, 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: 0.06513631356301897, 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: 0.06742419289123447, 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: 0.06808786689476332, 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: 0.06802484903315786, 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: 0.06755324525423667, 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: 0.06680821098225831, 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: 0.06586390877525616, 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: 0.06477098619775834, 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: 0.06356849852381252, 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: 0.06228810411039287, 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: 0.06095587698394578, 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: 0.05959333679802459, 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: 0.05821818006137569, 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: 0.0568448644410644, 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: 0.05548509870907914, 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: 0.059822391141634235, 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: 0.06252617668813976, 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: 0.062463080792360515, 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: 0.06157604152733409, 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: 0.06045585612968196, 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: 0.059282808130935116, 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: 0.05811438845058525, 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: 0.056970915577981174, 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: 0.05586092837100676, 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: 0.05478879013875826, 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: 0.053757041376153225, 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: 0.0527671924154367, 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: 0.05182004299263543, 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: 0.050915850055492484, 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: 0.05005443995979775, 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: 0.04923529482741351, 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: 0.04845762313941915, 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: 0.047720418669961795, 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: 0.04702250996033008, 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: 0.0463626018360781, 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: 0.045739310150754164, 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: 0.04515119074277596, 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: 0.04459676344853669, 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: 0.04407453189633337, 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: 0.043582999702953096, 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: 0.04312068361213761, 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: 0.042686124036162454, 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: 0.042277893398059874, 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: 0.04189460261829492, 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: 0.04153490603750676, 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: 0.04119750502866193, 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: 0.040881150513913944, 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: 0.040584644571735495, 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: 0.04030684129065509, 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: 0.040046647005294034, 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: 0.03980302003000258, 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: 0.039574969985604724, 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: 0.03936155680309206, 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: 0.03916188947428534, 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: 0.03897512460681707, 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: 0.038637157128951216, 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: 0.03848449102512408, 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: 0.03834179683030037, 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: 0.0382084437962007, 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: 0.03808383830290474, 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: 0.03796742205694059, 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: 0.03785867031925694, 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: 0.03775709017621942, 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: 0.03766221885370591, 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: 0.037573622088367564, 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: 0.03749089255520577, 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: 0.037413648354416296, 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: 0.0373415315622303, 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: 0.0006076933278708063, 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: 0.0006516772094160017, 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: 0.0006916869207373999, 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: 0.0007282278233893824, 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: 0.0007609219502493492, 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: 0.0007894792377671489, 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: 0.0008136999927907673, 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: 0.0008334724343005417, 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: 0.0008487677112920811, 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: 0.0008596329247332335, 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: 0.0008661826900738523, 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: 0.000868589758083238, 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: 0.0008670751690546541, 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: 0.0008618983558474624, 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: 0.0008533475420055558, 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: 0.0008417307081678982, 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: 0.0008273673282848115, 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: 0.0008105810103077038, 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: 0.0007916931166832286, 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: 0.000771017389505968, 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: 0.0007488555642593819, 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: 0.000725493924466275, 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: 0.0007012007266818804, 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: 0.000676224410244286, 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: 0.0006507924977414564, 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: 0.0006251110892007278, 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: 0.0005993648542914065, 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: 0.0005737174313645149, 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: 0.000548312148857491, 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: 0.0005232729927338309, 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: 0.0004987057525289301, 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: 0.00047469928764136415, 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: 0.00045132686442801717, 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: 0.0004286475231080472, 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: 0.0004067074412015398, 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: 0.0003855412673226116, 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: 0.00036517340516352415, 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: 0.04035513072498631, 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: 0.07739310570162594, 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: 0.09902515325136196, 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: 0.11518341998168413, 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: 0.129840380929366, 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: 0.14436772132099485, 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: 0.15920990630835785, 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: 0.17448303501280904, 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: 0.1901827276425987, 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: 0.20625795624131715, 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: 0.22263859368161398, 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: 0.23924660775339035, 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: 0.25600128314080184, 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: 0.2728221436888427, 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: 0.2896308925640554, 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: 0.3063528458890561, 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: 0.3229180320349485, 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: 0.33926202144709716, 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: 0.3553265168900861, 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: 0.3710597253839536, 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: 0.3864165333920928, 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: 0.40135850928138206, 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: 0.4158537591795377, 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: 0.4298766632829576, 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: 0.44340751929654987, 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: 0.4564321182095288, 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: 0.4689412752938842, 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: 0.48093033637076443, 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: 0.4923986762820931, 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: 0.5033492033669367, 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: 0.5137878807314729, 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: 0.523723272344327, 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: 0.5331661195590045, 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: 0.5421289515803491, 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: 0.5506257316836529, 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: 0.5586715396152022, 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: 0.5662822895502937, 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: 0.5734744822045976, 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: 0.5802649891426164, 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: 0.5866708669860308, 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: 0.5927091990238558, 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: 0.5983969616553195, 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: 0.6037509131152459, 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: 0.6087875020226212, 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: 0.6135227934125731, 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: 0.6179724100829431, 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: 0.622151487256565, 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: 0.6260746387433493, 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: 0.6297559329633469, 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: 0.6332088773747797, 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: 0.636446410005115, 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: 0.6394808969441725, 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: 0.642324134797104, 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: 0.6449873572210763, 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: 0.6474812447872074, 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: 0.6498159375072916, 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: 0.6520010494679318, 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: 0.654045685078422, 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: 0.0033973144978070025, 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: 0.020048838110541034, 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: 0.025541531207328383, 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: 0.028894092102574653, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

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

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

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0378712265434622, 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: 0.04080995267698384, 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: 0.04371026754196006, 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: 0.04655981455800351, 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: 0.049347582501326315, 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: 0.05206407610912134, 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: 0.054701322163716704, 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: 0.05725282257211184, 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: 0.05971347915229064, 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: 0.062079499345470524, 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: 0.06434828891725974, 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: 0.07717723067375548, 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: 0.08020143195955143, 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: 0.08511690453331688, 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: 0.08732063451581595, 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: 0.08939355028011331, 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: 0.0913433805075261, 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: 0.09317565303738728, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

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

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09650819456468795, 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: 0.09801886862587317, 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: 0.09943278863971727, 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: 0.10075514665166452, 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: 0.1019910466313858, 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: 0.10314546740941566, 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: 0.10422323372886666, 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: 0.10522899453686119, 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: 0.1061672075183715, 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: 0.10704212890940923, 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: 0.10785780770910414, 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: 0.10861808350533586, 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: 0.10932658722166089, 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: 0.10998674418412602, 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: 0.1106017789942948, 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: 0.11117472176755161, 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: 0.11170841537174869, 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: 0.11220552335904088, 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: 0.11266853833876933, 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: 0.11309979058956454, 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: 0.11350145674594536, 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: 0.11387556843093627, 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: 0.11422402073440896, 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: 0.11454858046344452, 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: 0.11485089410799798, 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: 0.11513249548160776, 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: 0.1153948130152207, 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: 0.11563917668666246, 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: 0.11586682457832698, 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: 0.11607890906698515, 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: 0.11627650264661327, 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: 0.11646060339757458, 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: 0.1166321401117667, 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: 0.11679197708450584, 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: 0.11694091859774325, 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: 0.11707971309901577, 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: 0.11720905709811902, 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: 0.11732959880192695, 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: 0.11744194149379972, 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: 0.11754664667884995, 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: 0.1176442370130335, 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: 0.11773519902075602, 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: 0.0018738259168480376, 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: 0.0018351321319086678, 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: 0.001787454724806653, 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: 0.0017331374953171719, 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: 0.0016739142170394128, 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: 0.0016112314182014364, 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: 0.0015462927558089756, 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: 0.001480094355778394, 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: 0.0014134552651262622, 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: 0.0013470437067334418, 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: 0.0012813996993945864, 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: 0.00121695453107043, 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: 0.0011540475087360447, 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: 0.0010929403521544034, 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: 0.0010338295502075323, 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: 0.0009768569561221935, 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: 0.0009221188612079101, 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: 0.0008696737548027494, 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: 0.0008195489504607134, 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: 0.000771746234312351, 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: 0.0007262466707403659, 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: 0.0006830146822992128, 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: 0.0006420015051588068, 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: 0.0006031481076800987, 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: 0.0005663876478951835, 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: 0.0005316475354098238, 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: 0.0004988511543344565, 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: 0.00046791929615101757, 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: 0.0004387713447081554, 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: 0.0004113262497678488, 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: 0.0003855033204892555, 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: 0.00036122286589364283, 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: 0.004986280909061946, 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: 0.09643621762329069, 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: 0.17609508623852754, 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: 0.2292796701275659, 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: 0.262131329569705, 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: 0.2917567382863746, 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: 0.29775015112090664, 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: 0.2966791357379419, 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: 0.29416165410728645, 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: 0.2907328896963062, 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: 0.2867414272428883, 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: 0.2824176858810352, 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: 0.2779165329444746, 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: 0.26877326923742917, 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: 0.26425656719770707, 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: 0.25983055466560323, 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: 0.2555213948761885, 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: 0.2513475342968823, 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: 0.2473216878636828, 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: 0.2434522277674498, 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: 0.23974418329660185, 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: 0.2361999813584772, 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: 0.23282000952208382, 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: 0.2296030540087708, 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: 0.2265466468481545, 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: 0.2236473450529921, 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: 0.22090095749614136, 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: 0.21830273058080252, 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: 0.2158475007979952, 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: 0.2135298202615763, 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: 0.21134405993277827, 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: 0.20928449427630547, 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: 0.207345370369743, 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: 0.20552096395715136, 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: 0.20380562451494555, 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: 0.20219381106943235, 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: 0.20068012023267556, 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: 0.19925930770142664, 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: 0.19792630428066804, 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: 0.1966762273288083, 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: 0.195504388398418, 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: 0.1944062977231109, 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: 0.19337766611012697, 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: 0.19241440471417626, 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: 0.1915126230925006, 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: 0.19066862588671984, 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: 0.18987890841771904, 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: 0.18914015143742624, 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: 0.1884492152455426, 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: 0.18780313334026566, 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: 0.18719910574767784, 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: 0.18663449215041705, 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: 0.18610680490918163, 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: 0.1856137020665365, 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: 0.18515298039021655, 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: 0.18472256851244584, 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: 0.18432052020992007, 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: 0.18394500785113888, 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: 0.18359431604229925, 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: 0.0398426842848405, 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: 0.058510814772175124, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06513631356301985, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06742419289123447, 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: 0.0680878668947642, 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: 0.06802484903315609, 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: 0.06755324525423578, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06680821098225742, tolerance: 0.0009057236821572533
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06586390877526416, 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: 0.06477098619776189, 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: 0.06356849852380453, 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: 0.06228810411039376, 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: 0.060955876983943114, 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: 0.05959333679803258, 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: 0.05821818006137036, 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: 0.056844864441067955, 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: 0.055485098709085356, 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: 0.06252617668815219, 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: 0.06246308079236673, 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: 0.061576041527341197, 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: 0.059282808130916465, 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: 0.05811438845059147, 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: 0.056970915577960746, 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: 0.055860928371037843, 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: 0.05478879013878668, 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: 0.05375704137617365, 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: 0.052767192415431374, 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: 0.05182004299264342, 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: 0.050915850055530676, 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: 0.05005443995977288, 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: 0.049235294827417064, 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: 0.04845762313941382, 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: 0.04772041866998045, 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: 0.047022509960319425, 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: 0.046362601836109185, 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: 0.045739310150782586, 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: 0.04515119074274487, 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: 0.04459676344857666, 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: 0.04407453189637689, 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: 0.04358299970295132, 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: 0.043120683612165145, 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: 0.042686124036123374, 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: 0.04227789339804122, 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: 0.04189460261829048, 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: 0.04153490603751653, 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: 0.04119750502864061, 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: 0.04088115051402674, 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: 0.040584644571803, 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: 0.040306841290600026, 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: 0.040046647005274494, 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: 0.039803020029941294, 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: 0.03957496998564203, 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: 0.03936155680325992, 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: 0.03916188947421784, 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: 0.03897512460695829, 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: 0.038800464835671455, 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: 0.038637157128931676, 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: 0.038484491025277734, 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: 0.038341796830267505, 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: 0.038208443796460045, 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: 0.038083838303082373, 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: 0.0379674220569024, 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: 0.03785867031953227, 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: 0.037757090176226527, 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: 0.037662218853395046, 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: 0.03757362208832582, 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: 0.03749089255519955, 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: 0.03741364835434169, 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: 0.037341531562223196, 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: 0.013600403306895714, 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: 0.04233828757356406, 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: 0.04655165148312079, 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: 0.04750425703219463, 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: 0.04827386488003782, 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: 0.04888295807549525, 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: 0.04935201401120537, 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: 0.049699583577840656, 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: 0.04994238724837885, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05009542273019463, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0501720797127021, 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: 0.0501842580428189, 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: 0.05014248637939289, 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: 0.05005603901083333, 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: 0.049933049066865465, 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: 0.04978061682042778, 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: 0.0496049121684905, 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: 0.04941127070069484, 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: 0.04920428302828128, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04898787725278453, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048765394618705216, 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: 0.04853965851587816, 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: 0.04831303709097767, 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: 0.0476458615376103, 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: 0.04743213733014073, 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: 0.04702307000648176, 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: 0.04664196284635125, 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: 0.04646265842209374, 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: 0.04629103793018885, 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: 0.0461271315741385, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04597090076061505, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04582225058616274, 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: 0.04568104061268485, 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: 0.04554709413283575, 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: 0.045420206107571914, 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: 0.045300149938817924, 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: 0.04518668321899355, 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: 0.0450795525945864, 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: 0.0449784978477723, 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: 0.04488325531230686, 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: 0.04479356069939655, 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: 0.04470915142423593, 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: 0.044629768498126055, 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: 0.044485072521517566, 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: 0.04441927160951309, 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: 0.0443575229552593, 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: 0.04424529560596824, 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: 0.044194395700536404, 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: 0.04414670592748848, 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: 0.044102038368848184, 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: 0.044060214116413476, 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: 0.04402106313506238, 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: 0.04398442406694869, 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: 0.043950144010324266, 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: 0.04391807825061278, 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: 0.04388808998771765, 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: 0.0438600500367059, 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: 0.04383383651777706, 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: 0.04380933454916658, 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: 0.04378643592706766, 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: 0.04376503881735516, 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: 0.043745047445220564, 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: 0.04372637178229155, 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: 0.0437089272636797, 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: 0.04367741894149901, 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: 0.04366321073304391, 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: 0.043649944328045365, 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: 0.04363755829768934, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04362599509899212, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04361520082230186, 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: 0.0436051250047953, 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: 0.04359572039133752, 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: 0.04358694277451747, 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: 0.04357875078087403, 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: 0.043571105726528, 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: 0.04356397141222601, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.02242199605876749, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048236309604135386, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05152386498556183, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05256396561011201, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05317106552980988, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05349220795529419, 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: 0.05358147192696805, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05348196852554565, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05323022641039188, 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: 0.052857208749472306, 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: 0.0523890952827486, 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: 0.05184795600123948, 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: 0.051252333611017775, 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: 0.05061774695153787, 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: 0.04995712587909651, 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: 0.04859875636764599, 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: 0.04724191931889976, 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: 0.04657804520032016, 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: 0.0459291306130325, 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: 0.045298046647459955, 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: 0.04468696560756058, 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: 0.043530668866111455, 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: 0.04298724132530651, 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: 0.042467546475371876, 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: 0.041971664074239357, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04149944977884701, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.041050578738094146, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.040624582536928244, 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: 0.040220880422964456, 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: 0.03983880562215347, 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: 0.03947762743811012, 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: 0.039136569740094274, 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: 0.03881482635758715, 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: 0.0382259819009505, 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: 0.03795722209201813, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.037704474637315855, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.037466934035791155, 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: 0.0372438134272457, 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: 0.036837797442721865, 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: 0.036653448003207245, 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: 0.036480613558026675, 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: 0.03631863650373646, 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: 0.036166888126786034, 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: 0.03602476866502258, 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: 0.035891707107040816, 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: 0.03576716077160569, 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: 0.035650614723820695, 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: 0.03554158105345806, 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: 0.03543959805430319, 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: 0.03534422932696657, 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: 0.03525506283289559, 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: 0.035171709907096727, 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: 0.03509380425831665, 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: 0.03502100095693095, 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: 0.03495297542932008, 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: 0.03488942246207216, 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: 0.03483005522557647, 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: 0.03477460431719237, 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: 0.034722816839192205, 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: 0.034629297740409015, 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: 0.03458713492431542, 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: 0.03454777152540345, 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: 0.03451102436786613, 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: 0.03447672191128959, 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: 0.03444470354907736, 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: 0.034386927477768836, 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: 0.03436089751473048, 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: 0.034336605991271085, 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: 0.0343139378079087, 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: 0.03429278536299307, 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: 0.034273048064186185, 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: 0.03425463189746836, 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: 0.03423744900778303, 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: 0.03422141730916195, 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: 0.03420646010799544, 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: 0.03419250576697408, 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: 0.03417948737330789, 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: 0.03416734244039077, 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: 0.034156012610147, 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: 0.034145443394287156, 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: 0.03665116082126474, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04033257137915314, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.042338287573556954, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04399714422717693, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0453915031566865, 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: 0.04750425703223016, 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: 0.048273864880044925, 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: 0.0493520140112409, 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: 0.04969958357786908, 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: 0.049942387248371745, 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: 0.0500954227301591, 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: 0.05017207971274473, 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: 0.050142486379357365, 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: 0.049933049066851254, 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: 0.04978061682041357, 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: 0.04960491216851182, 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: 0.0487653946186839, 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: 0.04853965851587816, 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: 0.0483130370910132, 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: 0.048087499789268406, 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: 0.047864668191813564, 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: 0.047645861537681355, 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: 0.047432137330154944, 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: 0.047224327427130675, 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: 0.04702307000644623, 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: 0.04682883778465197, 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: 0.04664196284648625, 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: 0.046462658422129266, 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: 0.04612713157411008, 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: 0.045970900760657685, 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: 0.045822250586354585, 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: 0.04568104061277012, 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: 0.045547094132707855, 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: 0.04542020610764297, 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: 0.04530014993873266, 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: 0.04518668321894381, 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: 0.04507955259440166, 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: 0.044978497847893095, 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: 0.04488325531217896, 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: 0.04479356069955287, 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: 0.04470915142425724, 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: 0.04462976849821132, 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: 0.04455515804913546, 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: 0.04448507252144651, 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: 0.04441927160942072, 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: 0.04435752295574247, 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: 0.04429960265660782, 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: 0.044245295606394563, 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: 0.04419439570023087, 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: 0.04414670592754533, 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: 0.04410203836896187, 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: 0.04406021411712402, 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: 0.04402106313474974, 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: 0.04398442406674263, 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: 0.04395014401001873, 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: 0.04391807825023619, 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: 0.043888089987554224, 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: 0.04386005003608062, 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: 0.04383383651843786, 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: 0.04380933454832103, 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: 0.04378643592768583, 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: 0.04376503881824334, 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: 0.04374504744494345, 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: 0.04372637178215655, 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: 0.04370892726284836, 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: 0.04369263448765537, 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: 0.043677418943794066, 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: 0.04366321073405999, 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: 0.04364994432727798, 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: 0.043637558298811996, 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: 0.04362599509905607, 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: 0.04361520082349557, 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: 0.043605125006230594, 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: 0.04359572039329862, 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: 0.0435869427753488, 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: 0.04357875078354567, 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: 0.04357110572350109, 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: 0.04356397140860224, 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: 0.02242199605876749, 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: 0.05152386498557604, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05256396561011201, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.053171065529816985, 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: 0.053492207955287085, 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: 0.053581471926960944, 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: 0.05323022641040609, 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: 0.05238909528272728, 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: 0.05184795600125369, 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: 0.05125233361098225, 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: 0.04995712587911072, 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: 0.049281186741332306, 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: 0.048598756367624674, 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: 0.04791705145460412, 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: 0.046578045200270424, 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: 0.04592913061309645, 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: 0.04529804664745285, 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: 0.04468696560762453, 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: 0.04409747392100627, 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: 0.043530668866097244, 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: 0.04298724132531362, 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: 0.04246754647537898, 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: 0.041971664074239357, 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: 0.0414994497788399, 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: 0.04105057873812257, 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: 0.04022088042307104, 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: 0.039838805622089524, 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: 0.03947762743809591, 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: 0.03881482635749478, 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: 0.038511573829751455, 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: 0.03822598190090787, 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: 0.03795722209196839, 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: 0.03770447463745086, 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: 0.03746693403590484, 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: 0.03703434797959915, 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: 0.0368377974426366, 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: 0.03665344800325698, 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: 0.03648061355801957, 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: 0.0363186365037933, 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: 0.036166888126814456, 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: 0.03602476866523574, 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: 0.03589170710674239, 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: 0.0357671607717549, 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: 0.03565061472418307, 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: 0.035541581053543325, 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: 0.03543959805419661, 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: 0.03534422932701631, 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: 0.035255062832980855, 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: 0.03517170990687646, 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: 0.035093804258046646, 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: 0.0350210009572649, 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: 0.03495297542949061, 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: 0.034889422461880315, 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: 0.03483005522481619, 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: 0.034774604317746594, 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: 0.03472281683951195, 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: 0.03467445549843973, 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: 0.034629297740551124, 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: 0.03458713492538834, 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: 0.03454777152485633, 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: 0.034511024368924836, 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: 0.03447672191096984, 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: 0.034444703548899724, 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: 0.034414818958580895, 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: 0.03438692747774752, 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: 0.034360897515519184, 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: 0.03433660599048949, 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: 0.03431393780942926, 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: 0.03429278536280833, 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: 0.03427304806439224, 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: 0.034254631899493404, 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: 0.034237449009559384, 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: 0.03422141730796113, 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: 0.03420646010511774, 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: 0.03419250576510535, 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: 0.0341794873743666, 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: 0.034167342439602066, 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: 0.034156012612100994, 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: 0.03414544339607062, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[QuantileTransformer()]
  /builddir/build/BUILD/python-scikit-learn-1.5.2-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=13567) 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, 4293 warnings in 618.67s (0:10:18) =
RUNNING THE L-BFGS-B CODE

           * * *

Machine precision = 2.220D-16
 N =            2     M =           10

           * * *

Tit   = total number of iterations
Tnf   = total number of function evaluations
Tnint = total number of segments explored during Cauchy searches
Skip  = number of BFGS updates skipped
Nact  = number of active bounds at final generalized Cauchy point
Projg = norm of the final projected gradient
F     = final function value

           * * *

   N    Tit     Tnf  Tnint  Skip  Nact     Projg        F
    2      5      7      1     0     0   5.264D-05  -3.750D-01

CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL            
RUNNING THE L-BFGS-B CODE

           * * *

Machine precision = 2.220D-16
 N =            2     M =           10

At X0         0 variables are exactly at the bounds

At iterate    0    f= -2.66378D-01    |proj g|=  1.16272D-01

At iterate    1    f= -3.72773D-01    |proj g|=  3.44540D-02

At iterate    2    f= -3.74743D-01    |proj g|=  1.18567D-02

At iterate    3    f= -3.74922D-01    |proj g|=  5.40689D-03

At iterate    4    f= -3.75000D-01    |proj g|=  4.08881D-04

At iterate    5    f= -3.75000D-01    |proj g|=  5.26385D-05

           * * *

Tit   = total number of iterations
Tnf   = total number of function evaluations
Tnint = total number of segments explored during Cauchy searches
Skip  = number of BFGS updates skipped
Nact  = number of active bounds at final generalized Cauchy point
Projg = norm of the final projected gradient
F     = final function value

           * * *

   N    Tit     Tnf  Tnint  Skip  Nact     Projg        F
    2      5      7      1     0     0   5.264D-05  -3.750D-01
  F = -0.37499999475400753     

CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL            
 This problem is unconstrained.
 This problem is unconstrained.
~/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2
+ popd
+ 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.gv7oiN
+ 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.rwowRo
+ 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) = 0149dbd5ffb0a617dc867ddac0118b9c81c6184f debuginfo(build-id) = 06c1c0d213d427420ab7f2c47cf6b5f6a5cc8ce3 debuginfo(build-id) = 0720a475f557eaebdf759c5b3b1feaeed7425360 debuginfo(build-id) = 10d72bd77900bfadb6306dd198be49e8f8a15ed9 debuginfo(build-id) = 113f04bfc1fe724269f692d667eb3cf04be31fb5 debuginfo(build-id) = 115ff571baca8fcc402413876980af8b2ec4b686 debuginfo(build-id) = 15ab2db7dfbf7c3062a5c253fcfd887b9ee69aef debuginfo(build-id) = 1625d7a2435a0680488f4e030f6af0cf6a9b6b93 debuginfo(build-id) = 1b2fbe67f2192de777cdb6cb7182bde54dcdb708 debuginfo(build-id) = 27547b31449a91d7ff420f5de87e3ef9ed3b597a debuginfo(build-id) = 28aff4bce0941182e0afceaf62d852a4984f4b63 debuginfo(build-id) = 2dc7636080910c69a6ea8912a417a30280040b3e debuginfo(build-id) = 35340417215a9d12c5012b25170a820cd9a9c5f2 debuginfo(build-id) = 386089a58d170c10ddfb87dbbaed9393249a2694 debuginfo(build-id) = 38f77239b85183d05aa19a59d6c84f9ef06169d5 debuginfo(build-id) = 396d32243b288f97ac6c9f93c3e8f11dfc3cf756 debuginfo(build-id) = 40c815e28c9313e495abfb9e713291f2c0718610 debuginfo(build-id) = 420b32c4f46e0ebb8880a3170906c2797c72fcf8 debuginfo(build-id) = 4551b07f54d7973f8c58166506a2d6b7c5fe5a9f debuginfo(build-id) = 4871060363ecda549b8448012c435d0cb47ba4c3 debuginfo(build-id) = 49a9a6b4448e240299c92a508ce0f1dbefbeca9f debuginfo(build-id) = 4bd6603d266301a7762c7f30c795068cdca3185b debuginfo(build-id) = 4d98d8afd5454b45dd2ffda1a1eeddc15440be60 debuginfo(build-id) = 537c22403a195f5717560adef578e12db1012fc9 debuginfo(build-id) = 55b180b4f616976c93f3e8631ec2ef1327a389a8 debuginfo(build-id) = 575d11d80c6c4a08a0ed9f07f50427c648b42228 debuginfo(build-id) = 5a0a71a1f4ffcb685cd0ac40ee551f560d3901c4 debuginfo(build-id) = 5aaa2a8cee4a65bb0344b31dee5b2aee62ddecb1 debuginfo(build-id) = 5d15f3d857e72fef6a0c125e46058906981a59c9 debuginfo(build-id) = 628f408c893161a105fef91190abf538e8837973 debuginfo(build-id) = 69d51babc797f4c2b88dd190adb5ae3856750594 debuginfo(build-id) = 6a7d7197175f2a212fd93037f48d2d580224b8c0 debuginfo(build-id) = 6b8dbe20484a6db499cd662beb2b690800172015 debuginfo(build-id) = 6c26b7d772c2c2388d4ba97158a6a0177afe902f debuginfo(build-id) = 71729f7d5fc34f8378aec9201308ad4c21da919f debuginfo(build-id) = 7a526a1d62e2eaaede579f9f2d08687ee2c5d499 debuginfo(build-id) = 7b0518e31685b6b30ba78cd9a284a060eeb0c3c7 debuginfo(build-id) = 7c322575e4f96bcef7a6d1253d126ee12a8663ec debuginfo(build-id) = 83f3b5fecda1f0504ef3fd13c90d2b083791dbde debuginfo(build-id) = 92850abf9210f5bfd89c0cb9e4cfa32d0b84df50 debuginfo(build-id) = 9c8325630e3197377c288b57771e5e51930dc8d8 debuginfo(build-id) = 9fa21ff3437c8a4d3e4a3150bdb5a3800f82c2ec debuginfo(build-id) = a5cdd66b98d15f5e317eaff3abffc704cb0d2364 debuginfo(build-id) = a9dc04e95018c35ffc11f94df155a942fa039452 debuginfo(build-id) = ac31a08f6297def3be673c4a445323bce30e0492 debuginfo(build-id) = b14661fba8cbbcef84dd2b44fe51995366d05280 debuginfo(build-id) = b7e84e1d5e54f4ff5dfdb9d0a6808d4204ff23f7 debuginfo(build-id) = bf7634348a53abbdea74c3bb4fe8d2fb5876ae54 debuginfo(build-id) = c1450f1b1a51890dd916e873d94a369a89e9d653 debuginfo(build-id) = c3aa5433359c44e159fba3276c12affd4d58cc8c debuginfo(build-id) = c790d43b04c363b2d1123bfd581ab2b3d07f3e59 debuginfo(build-id) = c7c2f707665bc866b5f48f919463f2eabb59f400 debuginfo(build-id) = c9441619b8a111f64ed692fd21dcd94bef5734a8 debuginfo(build-id) = ca89e00a1bdffbe029bdf80a730f46a933a52efd debuginfo(build-id) = d100447cf037c84ace48e5a9db398c3af3263f8d debuginfo(build-id) = d31165bdfcc70c8b75ab415209f8a13e22dcb685 debuginfo(build-id) = d36a1a82c5c165a2f956dcdb8b365edfba2ca3d7 debuginfo(build-id) = d6699ca7f3900e2d557b23c2b658a85fcd8c1acb debuginfo(build-id) = de7e4aecdf90206529c98e523eaff40ef472ec74 debuginfo(build-id) = e39d991886fe7cc628b6a9d7c80f9df05d9b28f0 debuginfo(build-id) = e7343ce4dc8c3cce3fa87e9096d88919455ad301 debuginfo(build-id) = eebdb2111fb53eaba2e6c1cb3cf38e542d4eacc5 debuginfo(build-id) = f323e9a4090c6dc913e0c448a23a601f2bfe9625 debuginfo(build-id) = f7c6458146b30478df8798e2bd6ce58c553a4504 debuginfo(build-id) = fc8588a1bdeaa4ed808211d5c2ef83a57e8ac543 debuginfo(build-id) = fe157109d826cacb585d017c9b284c8e35775fe6 debuginfo(build-id) = fe96305a358ff2b2d258d6902bebc6d79d69d890 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/python3-scikit-learn-1.5.2-4.fc42.x86_64.rpm
Wrote: /builddir/build/RPMS/python-scikit-learn-debugsource-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.p8p4un
+ 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_64-1732616512.971292/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) 24 minutes 1 seconds
INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results
INFO: Cleaning up build root ('cleanup_on_success=True')
Start: clean chroot
INFO: unmounting tmpfs.
Finish: clean chroot
Finish: run
Running RPMResults tool
Package info:
{
    "packages": [
        {
            "name": "python-scikit-learn-debugsource",
            "epoch": null,
            "version": "1.5.2",
            "release": "4.fc42",
            "arch": "x86_64"
        },
        {
            "name": "python3-scikit-learn",
            "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"
        },
        {
            "name": "python3-scikit-learn-debuginfo",
            "epoch": null,
            "version": "1.5.2",
            "release": "4.fc42",
            "arch": "x86_64"
        }
    ]
}
RPMResults finished