Warning: Permanently added '54.147.39.91' (ED25519) to the list of known hosts.

You can reproduce this build on your computer by running:

  sudo dnf install copr-rpmbuild
  /usr/bin/copr-rpmbuild --verbose --drop-resultdir --task-url https://copr.fedorainfracloud.org/backend/get-build-task/8413976-fedora-rawhide-x86_64 --chroot fedora-rawhide-x86_64


Version: 1.2
PID: 10191
Logging PID: 10192
Task:
{'allow_user_ssh': False,
 'appstream': False,
 'background': True,
 'build_id': 8413976,
 'buildroot_pkgs': [],
 'chroot': 'fedora-rawhide-x86_64',
 'enable_net': False,
 'fedora_review': False,
 'git_hash': '0ac1ab22b2bbc55ce344a42487c94a38f860061a',
 'git_repo': 'https://copr-dist-git.fedorainfracloud.org/git/thrnciar/pytest-8.2.2:pr:5/python-scikit-learn',
 'isolation': 'default',
 'memory_reqs': 2048,
 'package_name': 'python-scikit-learn',
 'package_version': '1.6.0-1',
 'project_dirname': 'pytest-8.2.2:pr:5',
 'project_name': 'pytest-8.2.2',
 'project_owner': 'thrnciar',
 'repo_priority': None,
 'repos': [{'baseurl': 'https://download.copr.fedorainfracloud.org/results/thrnciar/pytest-8.2.2/fedora-rawhide-x86_64/',
            'id': 'copr_base',
            'name': 'Copr repository',
            'priority': None}],
 'sandbox': 'thrnciar/pytest-8.2.2--https://src.fedoraproject.org/user/orion',
 'source_json': {},
 'source_type': None,
 'ssh_public_keys': None,
 'storage': None,
 'submitter': 'https://src.fedoraproject.org/user/orion',
 'tags': [],
 'task_id': '8413976-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-8.2.2:pr:5/python-scikit-learn /var/lib/copr-rpmbuild/workspace/workdir-ymrikba5/python-scikit-learn --depth 500 --no-single-branch --recursive

cmd: ['git', 'clone', 'https://copr-dist-git.fedorainfracloud.org/git/thrnciar/pytest-8.2.2:pr:5/python-scikit-learn', '/var/lib/copr-rpmbuild/workspace/workdir-ymrikba5/python-scikit-learn', '--depth', '500', '--no-single-branch', '--recursive']
cwd: .
rc: 0
stdout: 
stderr: Cloning into '/var/lib/copr-rpmbuild/workspace/workdir-ymrikba5/python-scikit-learn'...

Running: git checkout 0ac1ab22b2bbc55ce344a42487c94a38f860061a --

cmd: ['git', 'checkout', '0ac1ab22b2bbc55ce344a42487c94a38f860061a', '--']
cwd: /var/lib/copr-rpmbuild/workspace/workdir-ymrikba5/python-scikit-learn
rc: 0
stdout: 
stderr: Note: switching to '0ac1ab22b2bbc55ce344a42487c94a38f860061a'.

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 0ac1ab2 automatic import of python-scikit-learn

Running: dist-git-client sources

cmd: ['dist-git-client', 'sources']
cwd: /var/lib/copr-rpmbuild/workspace/workdir-ymrikba5/python-scikit-learn
rc: 0
stdout: 
stderr: INFO: Reading stdout from command: git rev-parse --abbrev-ref HEAD
INFO: Reading stdout from command: git rev-parse HEAD
INFO: Reading sources specification file: sources
INFO: Downloading scikit_learn-1.6.0.tar.gz
INFO: Reading stdout from command: curl --help all
INFO: Calling: curl -H Pragma: -o scikit_learn-1.6.0.tar.gz --location --connect-timeout 60 --retry 3 --retry-delay 10 --remote-time --show-error --fail --retry-all-errors https://copr-dist-git.fedorainfracloud.org/repo/pkgs/thrnciar/pytest-8.2.2:pr:5/python-scikit-learn/scikit_learn-1.6.0.tar.gz/md5/399fe9609819ccfbf385224d5a3d1962/scikit_learn-1.6.0.tar.gz
  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed
100 6909k  100 6909k    0     0   131M      0 --:--:-- --:--:-- --:--:--  132M
INFO: Reading stdout from command: md5sum scikit_learn-1.6.0.tar.gz

/usr/bin/tail: /var/lib/copr-rpmbuild/main.log: file truncated
Running (timeout=18000): unbuffer mock --spec /var/lib/copr-rpmbuild/workspace/workdir-ymrikba5/python-scikit-learn/python-scikit-learn.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-ymrikba5/python-scikit-learn --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1734571108.895355 -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-ymrikba5/python-scikit-learn/python-scikit-learn.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-ymrikba5/python-scikit-learn --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1734571108.895355 -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-ymrikba5/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-1734571108.895355/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-1734571108.895355/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/20264d84b038c0676961d488450f3d7ec1848d7a526bdc9503d1c1a787d88a3c/merged
INFO: umounting image registry.fedoraproject.org/fedora:rawhide (/var/lib/containers/storage/overlay/20264d84b038c0676961d488450f3d7ec1848d7a526bdc9503d1c1a787d88a3c/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_64-1734571108.895355/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-1.7.0-3.fc42.x86_64
  dnf5-5.2.8.1-2.fc42.x86_64
  dnf5-plugins-5.2.8.1-2.fc42.x86_64
Start: installing minimal buildroot with dnf5
Updating and loading repositories:
 fedora                                 100% |  47.1 MiB/s |  21.9 MiB |  00m00s
 Copr repository                        100% |  12.4 MiB/s |   1.6 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 42-0.11                    fedora      19.8 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 2.40.9000-24.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 2:4.17.0~rc1-1.fc42        fedora       4.1 MiB
 tar                               x86_64 2:1.35-4.fc41              fedora       2.9 MiB
 unzip                             x86_64 6.0-65.fc42                fedora     398.2 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 2.43.50-9.fc42             fedora      25.8 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_v8.0.401-3.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 20241128-1.gitbb7b0b0.fc42 fedora     137.3 KiB
 curl                              x86_64 8.11.1-2.fc42              fedora     452.0 KiB
 cyrus-sasl-lib                    x86_64 2.1.28-27.fc41             fedora       2.3 MiB
 debugedit                         x86_64 5.1-2.fc42                 fedora     200.3 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 0.192-7.fc42               fedora       2.6 MiB
 elfutils-debuginfod-client        x86_64 0.192-7.fc42               fedora      81.4 KiB
 elfutils-default-yama-scope       noarch 0.192-7.fc42               fedora       1.8 KiB
 elfutils-libelf                   x86_64 0.192-7.fc42               fedora       1.2 MiB
 elfutils-libs                     x86_64 0.192-7.fc42               fedora     662.9 KiB
 fedora-gpg-keys                   noarch 42-0.3                     fedora     126.4 KiB
 fedora-release                    noarch 42-0.11                    fedora       0.0   B
 fedora-release-identity-basic     noarch 42-0.11                    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 15.2-4.fc42                fedora      12.7 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 2.40.9000-24.fc42          fedora       6.7 MiB
 glibc-common                      x86_64 2.40.9000-24.fc42          fedora       1.0 MiB
 glibc-gconv-extra                 x86_64 2.40.9000-24.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 3.6.0-5.fc42               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 8.11.1-2.fc42              fedora     817.3 KiB
 libeconf                          x86_64 0.7.5-1.fc42               fedora      66.7 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 3.8-0.rc1.2.fc42           fedora     191.6 KiB
 libsemanage                       x86_64 3.8-0.rc1.1.fc42           fedora     305.3 KiB
 libsepol                          x86_64 3.8-0.rc1.1.fc42           fedora     822.0 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 2.5.4-1.fc42               fedora      68.1 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 4.4.36-11.fc42             fedora     271.4 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 2.6.8-6.fc42               fedora     647.4 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 1.16.3-1.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 6.8.1-4.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 1.7.0-3.fc42               fedora       2.3 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 3.47.2-1.fc42              fedora       1.4 MiB
 systemd-libs                      x86_64 257-3.fc42                 copr_base    2.2 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 3.0-42.fc42                fedora     695.9 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 52 MiB. Need to download 52 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% |   5.7 MiB/s |  52.5 KiB |  00m00s
[  2/154] coreutils-0:9.5-11.fc42.x86_6 100% |  73.0 MiB/s |   1.1 MiB |  00m00s
[  3/154] cpio-0:2.15-2.fc41.x86_64     100% |  40.7 MiB/s | 291.8 KiB |  00m00s
[  4/154] bash-0:5.2.37-1.fc42.x86_64   100% |  90.4 MiB/s |   1.8 MiB |  00m00s
[  5/154] fedora-release-common-0:42-0. 100% |   7.8 MiB/s |  23.9 KiB |  00m00s
[  6/154] diffutils-0:3.10-8.fc41.x86_6 100% |  56.6 MiB/s | 405.4 KiB |  00m00s
[  7/154] findutils-1:4.10.0-4.fc41.x86 100% |  89.3 MiB/s | 548.6 KiB |  00m00s
[  8/154] glibc-minimal-langpack-0:2.40 100% |  17.0 MiB/s | 122.0 KiB |  00m00s
[  9/154] grep-0:3.11-9.fc41.x86_64     100% |  41.8 MiB/s | 299.8 KiB |  00m00s
[ 10/154] gzip-0:1.13-2.fc41.x86_64     100% |  33.2 MiB/s | 170.2 KiB |  00m00s
[ 11/154] info-0:7.1.1-2.fc42.x86_64    100% |  35.8 MiB/s | 183.2 KiB |  00m00s
[ 12/154] patch-0:2.7.6-25.fc41.x86_64  100% |  32.0 MiB/s | 131.0 KiB |  00m00s
[ 13/154] redhat-rpm-config-0:296-1.fc4 100% |  26.8 MiB/s |  82.4 KiB |  00m00s
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[ 15/154] sed-0:4.9-3.fc41.x86_64       100% | 103.4 MiB/s | 317.7 KiB |  00m00s
[ 16/154] unzip-0:6.0-65.fc42.x86_64    100% |  45.0 MiB/s | 184.5 KiB |  00m00s
[ 17/154] shadow-utils-2:4.17.0~rc1-1.f 100% | 160.0 MiB/s |   1.3 MiB |  00m00s
[ 18/154] tar-2:1.35-4.fc41.x86_64      100% | 105.1 MiB/s | 860.7 KiB |  00m00s
[ 19/154] which-0:2.21-42.fc41.x86_64   100% |  20.3 MiB/s |  41.6 KiB |  00m00s
[ 20/154] xz-1:5.6.3-2.fc42.x86_64      100% | 116.1 MiB/s | 475.4 KiB |  00m00s
[ 21/154] gawk-0:5.3.0-4.fc41.x86_64    100% | 119.0 MiB/s |   1.1 MiB |  00m00s
[ 22/154] util-linux-0:2.40.2-8.fc42.x8 100% |  68.4 MiB/s |   1.2 MiB |  00m00s
[ 23/154] filesystem-0:3.18-29.fc42.x86 100% |  57.2 MiB/s |   1.1 MiB |  00m00s
[ 24/154] bzip2-libs-0:1.0.8-19.fc41.x8 100% |  10.0 MiB/s |  41.1 KiB |  00m00s
[ 25/154] glibc-0:2.40.9000-24.fc42.x86 100% | 104.3 MiB/s |   2.2 MiB |  00m00s
[ 26/154] ncurses-libs-0:6.5-2.20240629 100% |  25.1 MiB/s | 334.0 KiB |  00m00s
[ 27/154] libacl-0:2.3.2-2.fc41.x86_64  100% |  12.0 MiB/s |  24.5 KiB |  00m00s
[ 28/154] gmp-1:6.3.0-2.fc41.x86_64     100% |  77.6 MiB/s | 318.0 KiB |  00m00s
[ 29/154] coreutils-common-0:9.5-11.fc4 100% | 176.9 MiB/s |   2.1 MiB |  00m00s
[ 30/154] libattr-0:2.5.2-4.fc41.x86_64 100% |   3.0 MiB/s |  18.2 KiB |  00m00s
[ 31/154] libcap-0:2.71-1.fc42.x86_64   100% |  14.1 MiB/s |  86.4 KiB |  00m00s
[ 32/154] fedora-repos-0:42-0.3.noarch  100% |   9.0 MiB/s |   9.2 KiB |  00m00s
[ 33/154] libselinux-0:3.8-0.rc1.2.fc42 100% |  29.5 MiB/s |  90.7 KiB |  00m00s
[ 34/154] glibc-common-0:2.40.9000-24.f 100% |  96.7 MiB/s | 396.0 KiB |  00m00s
[ 35/154] pcre2-0:10.44-1.fc41.1.x86_64 100% |  59.4 MiB/s | 243.1 KiB |  00m00s
[ 36/154] openssl-libs-1:3.2.2-8.fc42.x 100% | 210.0 MiB/s |   2.3 MiB |  00m00s
[ 37/154] ansible-srpm-macros-0:1-16.fc 100% |   6.8 MiB/s |  20.8 KiB |  00m00s
[ 38/154] ed-0:1.20.2-2.fc41.x86_64     100% |  16.0 MiB/s |  81.8 KiB |  00m00s
[ 39/154] build-reproducibility-srpm-ma 100% |   5.5 MiB/s |  11.2 KiB |  00m00s
[ 40/154] efi-srpm-macros-0:5-13.fc42.n 100% |  11.0 MiB/s |  22.5 KiB |  00m00s
[ 41/154] file-0:5.45-8.fc42.x86_64     100% |  23.7 MiB/s |  48.6 KiB |  00m00s
[ 42/154] dwz-0:0.15-8.fc42.x86_64      100% |  27.2 MiB/s | 139.1 KiB |  00m00s
[ 43/154] fpc-srpm-macros-0:1.3-13.fc41 100% |   7.8 MiB/s |   8.0 KiB |  00m00s
[ 44/154] fonts-srpm-macros-1:2.0.5-17. 100% |   6.6 MiB/s |  27.0 KiB |  00m00s
[ 45/154] ghc-srpm-macros-0:1.9.2-1.fc4 100% |   3.0 MiB/s |   9.1 KiB |  00m00s
[ 46/154] gnat-srpm-macros-0:6-6.fc41.n 100% |   4.4 MiB/s |   9.0 KiB |  00m00s
[ 47/154] lua-srpm-macros-0:1-14.fc41.n 100% |   4.3 MiB/s |   8.9 KiB |  00m00s
[ 48/154] go-srpm-macros-0:3.6.0-5.fc42 100% |   9.1 MiB/s |  28.0 KiB |  00m00s
[ 49/154] kernel-srpm-macros-0:1.0-24.f 100% |   3.2 MiB/s |   9.9 KiB |  00m00s
[ 50/154] ocaml-srpm-macros-0:10-3.fc41 100% |   4.5 MiB/s |   9.2 KiB |  00m00s
[ 51/154] openblas-srpm-macros-0:2-18.f 100% |   3.8 MiB/s |   7.7 KiB |  00m00s
[ 52/154] package-notes-srpm-macros-0:0 100% |   3.2 MiB/s |   9.8 KiB |  00m00s
[ 53/154] perl-srpm-macros-0:1-56.fc41. 100% |   4.2 MiB/s |   8.5 KiB |  00m00s
[ 54/154] python-srpm-macros-0:3.13-3.f 100% |  11.6 MiB/s |  23.7 KiB |  00m00s
[ 55/154] qt5-srpm-macros-0:5.15.15-1.f 100% |   4.3 MiB/s |   8.9 KiB |  00m00s
[ 56/154] qt6-srpm-macros-0:6.8.1-4.fc4 100% |   4.5 MiB/s |   9.3 KiB |  00m00s
[ 57/154] zig-srpm-macros-0:1-3.fc41.no 100% |   7.9 MiB/s |   8.1 KiB |  00m00s
[ 58/154] rpm-0:4.20.0-1.fc42.x86_64    100% | 133.6 MiB/s | 547.3 KiB |  00m00s
[ 59/154] zip-0:3.0-42.fc42.x86_64      100% |  62.7 MiB/s | 256.7 KiB |  00m00s
[ 60/154] debugedit-0:5.1-2.fc42.x86_64 100% |  25.5 MiB/s |  78.2 KiB |  00m00s
[ 61/154] elfutils-0:0.192-7.fc42.x86_6 100% | 123.2 MiB/s | 504.7 KiB |  00m00s
[ 62/154] libarchive-0:3.7.7-1.fc42.x86 100% |  80.8 MiB/s | 413.9 KiB |  00m00s
[ 63/154] elfutils-libelf-0:0.192-7.fc4 100% |  33.3 MiB/s | 204.6 KiB |  00m00s
[ 64/154] popt-0:1.19-7.fc41.x86_64     100% |  16.1 MiB/s |  65.9 KiB |  00m00s
[ 65/154] readline-0:8.2-11.fc42.x86_64 100% |  52.1 MiB/s | 213.4 KiB |  00m00s
[ 66/154] rpm-build-libs-0:4.20.0-1.fc4 100% |  24.1 MiB/s |  98.7 KiB |  00m00s
[ 67/154] rpm-libs-0:4.20.0-1.fc42.x86_ 100% |  75.6 MiB/s | 309.5 KiB |  00m00s
[ 68/154] zstd-0:1.5.6-2.fc41.x86_64    100% |  94.0 MiB/s | 481.5 KiB |  00m00s
[ 69/154] libeconf-0:0.7.5-1.fc42.x86_6 100% |  10.8 MiB/s |  33.1 KiB |  00m00s
[ 70/154] audit-libs-0:4.0.2-1.fc41.x86 100% |  24.6 MiB/s | 126.2 KiB |  00m00s
[ 71/154] pam-libs-0:1.7.0-3.fc42.x86_6 100% |  28.3 MiB/s |  58.0 KiB |  00m00s
[ 72/154] libsemanage-0:3.8-0.rc1.1.fc4 100% |  37.7 MiB/s | 115.9 KiB |  00m00s
[ 73/154] libxcrypt-0:4.4.36-11.fc42.x8 100% |  38.4 MiB/s | 118.1 KiB |  00m00s
[ 74/154] setup-0:2.15.0-5.fc41.noarch  100% |  75.4 MiB/s | 154.4 KiB |  00m00s
[ 75/154] xz-libs-1:5.6.3-2.fc42.x86_64 100% |  36.4 MiB/s | 111.9 KiB |  00m00s
[ 76/154] mpfr-0:4.2.1-5.fc41.x86_64    100% |  84.5 MiB/s | 346.3 KiB |  00m00s
[ 77/154] libcap-ng-0:0.8.5-3.fc41.x86_ 100% |  15.9 MiB/s |  32.6 KiB |  00m00s
[ 78/154] libblkid-0:2.40.2-8.fc42.x86_ 100% |  40.7 MiB/s | 125.0 KiB |  00m00s
[ 79/154] libfdisk-0:2.40.2-8.fc42.x86_ 100% |  52.0 MiB/s | 159.6 KiB |  00m00s
[ 80/154] libmount-0:2.40.2-8.fc42.x86_ 100% |  50.8 MiB/s | 156.1 KiB |  00m00s
[ 81/154] libsmartcols-0:2.40.2-8.fc42. 100% |  27.3 MiB/s |  83.9 KiB |  00m00s
[ 82/154] libuuid-0:2.40.2-8.fc42.x86_6 100% |  14.1 MiB/s |  29.0 KiB |  00m00s
[ 83/154] zlib-ng-compat-0:2.2.2-1.fc42 100% |  25.0 MiB/s |  76.9 KiB |  00m00s
[ 84/154] util-linux-core-0:2.40.2-8.fc 100% | 104.9 MiB/s | 537.3 KiB |  00m00s
[ 85/154] basesystem-0:11-21.fc41.noarc 100% |   3.6 MiB/s |   7.4 KiB |  00m00s
[ 86/154] glibc-gconv-extra-0:2.40.9000 100% | 188.8 MiB/s |   1.5 MiB |  00m00s
[ 87/154] libgcc-0:14.2.1-6.fc42.x86_64 100% |  26.4 MiB/s | 135.2 KiB |  00m00s
[ 88/154] ncurses-base-0:6.5-2.20240629 100% |  17.3 MiB/s |  88.4 KiB |  00m00s
[ 89/154] libsepol-0:3.8-0.rc1.1.fc42.x 100% |  67.5 MiB/s | 345.7 KiB |  00m00s
[ 90/154] fedora-gpg-keys-0:42-0.3.noar 100% |  43.5 MiB/s | 133.6 KiB |  00m00s
[ 91/154] fedora-repos-rawhide-0:42-0.3 100% |   2.9 MiB/s |   8.8 KiB |  00m00s
[ 92/154] ca-certificates-0:2024.2.69_v 100% | 115.3 MiB/s | 944.5 KiB |  00m00s
[ 93/154] pcre2-syntax-0:10.44-1.fc41.1 100% |  24.4 MiB/s | 149.9 KiB |  00m00s
[ 94/154] add-determinism-0:0.4.3-1.fc4 100% | 110.4 MiB/s | 904.4 KiB |  00m00s
[ 95/154] curl-0:8.11.1-2.fc42.x86_64   100% |  43.0 MiB/s | 220.2 KiB |  00m00s
[ 96/154] file-libs-0:5.45-8.fc42.x86_6 100% |  93.2 MiB/s | 763.6 KiB |  00m00s
[ 97/154] elfutils-debuginfod-client-0: 100% |  21.4 MiB/s |  43.9 KiB |  00m00s
[ 98/154] elfutils-libs-0:0.192-7.fc42. 100% |  61.5 MiB/s | 251.9 KiB |  00m00s
[ 99/154] libzstd-0:1.5.6-2.fc41.x86_64 100% |  75.8 MiB/s | 310.3 KiB |  00m00s
[100/154] libstdc++-0:14.2.1-6.fc42.x86 100% | 108.7 MiB/s | 890.1 KiB |  00m00s
[101/154] libxml2-0:2.12.8-2.fc41.x86_6 100% |  83.9 MiB/s | 687.3 KiB |  00m00s
[102/154] lz4-libs-0:1.10.0-1.fc41.x86_ 100% |  11.5 MiB/s |  70.7 KiB |  00m00s
[103/154] libgomp-0:14.2.1-6.fc42.x86_6 100% |  49.8 MiB/s | 356.9 KiB |  00m00s
[104/154] lua-libs-0:5.4.7-1.fc42.x86_6 100% |  25.8 MiB/s | 132.1 KiB |  00m00s
[105/154] rpm-sequoia-0:1.7.0-3.fc42.x8 100% | 115.2 MiB/s | 826.0 KiB |  00m00s
[106/154] elfutils-default-yama-scope-0 100% |   4.1 MiB/s |  12.5 KiB |  00m00s
[107/154] json-c-0:0.18-1.fc42.x86_64   100% |  21.7 MiB/s |  44.4 KiB |  00m00s
[108/154] sqlite-libs-0:3.47.2-1.fc42.x 100% |  68.3 MiB/s | 699.8 KiB |  00m00s
[109/154] authselect-libs-0:1.5.0-8.fc4 100% |  53.2 MiB/s | 218.0 KiB |  00m00s
[110/154] authselect-0:1.5.0-8.fc42.x86 100% |  47.4 MiB/s | 145.8 KiB |  00m00s
[111/154] pam-0:1.7.0-3.fc42.x86_64     100% | 135.3 MiB/s | 554.3 KiB |  00m00s
[112/154] gdbm-libs-1:1.23-7.fc41.x86_6 100% |  27.5 MiB/s |  56.3 KiB |  00m00s
[113/154] libnsl2-0:2.0.1-2.fc41.x86_64 100% |  14.5 MiB/s |  29.6 KiB |  00m00s
[114/154] libpwquality-0:1.4.5-11.fc41. 100% |  29.1 MiB/s | 119.1 KiB |  00m00s
[115/154] libtirpc-0:1.3.6-1.fc42.x86_6 100% |  23.2 MiB/s |  94.9 KiB |  00m00s
[116/154] cracklib-0:2.9.11-6.fc41.x86_ 100% |  22.5 MiB/s |  92.0 KiB |  00m00s
[117/154] krb5-libs-0:1.21.3-3.fc42.x86 100% | 106.1 MiB/s | 760.4 KiB |  00m00s
[118/154] libcom_err-0:1.47.1-6.fc42.x8 100% |   6.5 MiB/s |  26.6 KiB |  00m00s
[119/154] keyutils-libs-0:1.6.3-4.fc41. 100% |  10.3 MiB/s |  31.6 KiB |  00m00s
[120/154] libverto-0:0.3.2-9.fc41.x86_6 100% |  10.1 MiB/s |  20.7 KiB |  00m00s
[121/154] alternatives-0:1.30-1.fc41.x8 100% |  20.7 MiB/s |  42.5 KiB |  00m00s
[122/154] jansson-0:2.14-1.fc42.x86_64  100% |  14.7 MiB/s |  45.3 KiB |  00m00s
[123/154] pkgconf-pkg-config-0:2.3.0-1. 100% |   3.3 MiB/s |  10.0 KiB |  00m00s
[124/154] pkgconf-0:2.3.0-1.fc42.x86_64 100% |  14.7 MiB/s |  45.2 KiB |  00m00s
[125/154] pkgconf-m4-0:2.3.0-1.fc42.noa 100% |   4.7 MiB/s |  14.3 KiB |  00m00s
[126/154] systemd-libs-0:257-3.fc42.x86 100% |  16.4 MiB/s | 771.1 KiB |  00m00s
[127/154] libpkgconf-0:2.3.0-1.fc42.x86 100% |  18.8 MiB/s |  38.5 KiB |  00m00s
[128/154] forge-srpm-macros-0:0.4.0-1.f 100% |   6.6 MiB/s |  20.3 KiB |  00m00s
[129/154] pyproject-srpm-macros-0:1.16. 100% |   4.7 MiB/s |  14.4 KiB |  00m00s
[130/154] rust-srpm-macros-0:26.3-3.fc4 100% |   6.2 MiB/s |  12.7 KiB |  00m00s
[131/154] binutils-0:2.43.50-9.fc42.x86 100% | 186.6 MiB/s |   5.8 MiB |  00m00s
[132/154] gdbm-1:1.23-7.fc41.x86_64     100% |  18.5 MiB/s | 151.8 KiB |  00m00s
[133/154] crypto-policies-0:20241128-1. 100% |  10.7 MiB/s |  98.4 KiB |  00m00s
[134/154] libffi-0:3.4.6-3.fc42.x86_64  100% |  19.5 MiB/s |  40.0 KiB |  00m00s
[135/154] p11-kit-0:0.25.5-4.fc42.x86_6 100% | 120.1 MiB/s | 492.0 KiB |  00m00s
[136/154] libtasn1-0:4.19.0-9.fc41.x86_ 100% |  24.2 MiB/s |  74.2 KiB |  00m00s
[137/154] p11-kit-trust-0:0.25.5-4.fc42 100% |  32.5 MiB/s | 133.2 KiB |  00m00s
[138/154] fedora-release-0:42-0.11.noar 100% |   6.3 MiB/s |  13.0 KiB |  00m00s
[139/154] xxhash-libs-0:0.8.2-4.fc42.x8 100% |  18.0 MiB/s |  36.8 KiB |  00m00s
[140/154] fedora-release-identity-basic 100% |   4.5 MiB/s |  13.8 KiB |  00m00s
[141/154] libcurl-0:8.11.1-2.fc42.x86_6 100% |  87.1 MiB/s | 356.7 KiB |  00m00s
[142/154] libbrotli-0:1.1.0-5.fc41.x86_ 100% |  66.5 MiB/s | 340.5 KiB |  00m00s
[143/154] libnghttp2-0:1.64.0-1.fc42.x8 100% |  18.9 MiB/s |  77.4 KiB |  00m00s
[144/154] libidn2-0:2.3.7-2.fc41.x86_64 100% |  19.3 MiB/s | 118.4 KiB |  00m00s
[145/154] gdb-minimal-0:15.2-4.fc42.x86 100% | 202.1 MiB/s |   4.0 MiB |  00m00s
[146/154] libpsl-0:0.21.5-4.fc41.x86_64 100% |  10.4 MiB/s |  64.1 KiB |  00m00s
[147/154] libssh-0:0.11.1-1.fc42.x86_64 100% |  32.4 MiB/s | 231.9 KiB |  00m00s
[148/154] publicsuffix-list-dafsa-0:202 100% |  28.5 MiB/s |  58.3 KiB |  00m00s
[149/154] openldap-0:2.6.8-6.fc42.x86_6 100% |  47.5 MiB/s | 243.4 KiB |  00m00s
[150/154] libunistring-0:1.1-8.fc41.x86 100% | 106.4 MiB/s | 544.8 KiB |  00m00s
[151/154] libssh-config-0:0.11.1-1.fc42 100% |   4.6 MiB/s |   9.4 KiB |  00m00s
[152/154] libtool-ltdl-0:2.5.4-1.fc42.x 100% |  16.7 MiB/s |  34.2 KiB |  00m00s
[153/154] libevent-0:2.1.12-14.fc41.x86 100% |  83.8 MiB/s | 257.5 KiB |  00m00s
[154/154] cyrus-sasl-lib-0:2.1.28-27.fc 100% | 129.4 MiB/s | 794.9 KiB |  00m00s
--------------------------------------------------------------------------------
[154/154] Total                         100% | 107.2 MiB/s |  52.0 MiB |  00m00s
Running transaction
Importing OpenPGP key 0x105EF944:
 UserID     : "Fedora (42) <fedora-42-primary@fedoraproject.org>"
 Fingerprint: B0F4950458F69E1150C6C5EDC8AC4916105EF944
 From       : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-42-primary
The key was successfully imported.
Importing OpenPGP key 0x105EF944:
 UserID     : "Fedora (42) <fedora-42-primary@fedoraproject.org>"
 Fingerprint: B0F4950458F69E1150C6C5EDC8AC4916105EF944
 From       : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-42-primary
The key was successfully imported.
Importing OpenPGP key 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 OpenPGP key 0x31645531:
 UserID     : "Fedora (43) <fedora-43-primary@fedoraproject.org>"
 Fingerprint: C6E7F081CF80E13146676E88829B606631645531
 From       : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-43-primary
The key was successfully imported.
[  1/156] Verify package files          100% | 968.0   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_64-1734571108.895355/root/var/cache/d
[  2/156] Prepare transaction           100% |   4.2 KiB/s | 154.0   B |  00m00s
[  3/156] Installing libgcc-0:14.2.1-6. 100% | 265.9 MiB/s | 272.3 KiB |  00m00s
[  4/156] Installing libssh-config-0:0. 100% |   0.0   B/s | 816.0   B |  00m00s
[  5/156] Installing publicsuffix-list- 100% |   0.0   B/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% |   0.0   B/s |   2.4 KiB |  00m00s
[  8/156] Installing fedora-gpg-keys-0: 100% |  56.1 MiB/s | 172.2 KiB |  00m00s
[  9/156] Installing fedora-repos-0:42- 100% |   0.0   B/s |   5.7 KiB |  00m00s
[ 10/156] Installing fedora-release-com 100% |  23.6 MiB/s |  24.1 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% |  64.5 MiB/s | 726.1 KiB |  00m00s
>>> [RPM] /etc/hosts created as /etc/hosts.rpmnew
[ 13/156] Installing filesystem-0:3.18- 100% |   3.9 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% |   0.0   B/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% | 248.1 MiB/s | 254.1 KiB |  00m00s
[ 18/156] Installing ncurses-base-0:6.5 100% |  85.9 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% | 239.7 MiB/s | 981.8 KiB |  00m00s
[ 21/156] Installing glibc-0:2.40.9000- 100% | 317.7 MiB/s |   6.7 MiB |  00m00s
[ 22/156] Installing bash-0:5.2.37-1.fc 100% | 453.9 MiB/s |   8.2 MiB |  00m00s
[ 23/156] Installing glibc-common-0:2.4 100% | 208.3 MiB/s |   1.0 MiB |  00m00s
[ 24/156] Installing glibc-gconv-extra- 100% | 299.1 MiB/s |   8.1 MiB |  00m00s
[ 25/156] Installing zlib-ng-compat-0:2 100% | 131.7 MiB/s | 134.9 KiB |  00m00s
[ 26/156] Installing bzip2-libs-0:1.0.8 100% |   0.0   B/s |  81.8 KiB |  00m00s
[ 27/156] Installing xz-libs-1:5.6.3-2. 100% | 214.3 MiB/s | 219.5 KiB |  00m00s
[ 28/156] Installing popt-0:1.19-7.fc41 100% |  70.1 MiB/s | 143.5 KiB |  00m00s
[ 29/156] Installing readline-0:8.2-11. 100% | 483.7 MiB/s | 495.3 KiB |  00m00s
[ 30/156] Installing libuuid-0:2.40.2-8 100% |   0.0   B/s |  42.5 KiB |  00m00s
[ 31/156] Installing libblkid-0:2.40.2- 100% | 257.5 MiB/s | 263.6 KiB |  00m00s
[ 32/156] Installing gmp-1:6.3.0-2.fc41 100% | 397.3 MiB/s | 813.7 KiB |  00m00s
[ 33/156] Installing libattr-0:2.5.2-4. 100% |   0.0   B/s |  29.5 KiB |  00m00s
[ 34/156] Installing libacl-0:2.3.2-2.f 100% |   0.0   B/s |  40.7 KiB |  00m00s
[ 35/156] Installing libxcrypt-0:4.4.36 100% | 267.7 MiB/s | 274.1 KiB |  00m00s
[ 36/156] Installing libstdc++-0:14.2.1 100% | 460.0 MiB/s |   2.8 MiB |  00m00s
[ 37/156] Installing libzstd-0:1.5.6-2. 100% | 389.3 MiB/s | 797.2 KiB |  00m00s
[ 38/156] Installing elfutils-libelf-0: 100% | 389.0 MiB/s |   1.2 MiB |  00m00s
[ 39/156] Installing libeconf-0:0.7.5-1 100% |   0.0   B/s |  68.4 KiB |  00m00s
[ 40/156] Installing gdbm-libs-1:1.23-7 100% | 120.7 MiB/s | 123.6 KiB |  00m00s
[ 41/156] Installing dwz-0:0.15-8.fc42. 100% | 293.5 MiB/s | 300.6 KiB |  00m00s
[ 42/156] Installing mpfr-0:4.2.1-5.fc4 100% | 407.1 MiB/s | 833.7 KiB |  00m00s
[ 43/156] Installing gawk-0:5.3.0-4.fc4 100% | 346.4 MiB/s |   1.7 MiB |  00m00s
[ 44/156] Installing unzip-0:6.0-65.fc4 100% | 392.3 MiB/s | 401.7 KiB |  00m00s
[ 45/156] Installing file-libs-0:5.45-8 100% | 764.5 MiB/s |   9.9 MiB |  00m00s
[ 46/156] Installing file-0:5.45-8.fc42 100% |  17.1 MiB/s | 105.2 KiB |  00m00s
[ 47/156] Installing crypto-policies-0: 100% |  40.0 MiB/s | 163.7 KiB |  00m00s
[ 48/156] Installing pcre2-0:10.44-1.fc 100% | 319.8 MiB/s | 654.9 KiB |  00m00s
[ 49/156] Installing grep-0:3.11-9.fc41 100% | 250.8 MiB/s |   1.0 MiB |  00m00s
[ 50/156] Installing xz-1:5.6.3-2.fc42. 100% | 247.4 MiB/s |   1.2 MiB |  00m00s
[ 51/156] Installing libcap-ng-0:0.8.5- 100% |   0.0   B/s |  71.0 KiB |  00m00s
[ 52/156] Installing audit-libs-0:4.0.2 100% | 325.6 MiB/s | 333.4 KiB |  00m00s
[ 53/156] Installing pam-libs-0:1.7.0-3 100% | 138.5 MiB/s | 141.8 KiB |  00m00s
[ 54/156] Installing libcap-0:2.71-1.fc 100% | 210.8 MiB/s | 215.8 KiB |  00m00s
[ 55/156] Installing systemd-libs-0:257 100% | 370.1 MiB/s |   2.2 MiB |  00m00s
[ 56/156] Installing libsmartcols-0:2.4 100% | 177.1 MiB/s | 181.4 KiB |  00m00s
[ 57/156] Installing libsepol-0:3.8-0.r 100% | 401.9 MiB/s | 823.0 KiB |  00m00s
[ 58/156] Installing libselinux-0:3.8-0 100% | 188.4 MiB/s | 192.9 KiB |  00m00s
[ 59/156] Installing sed-0:4.9-3.fc41.x 100% | 283.1 MiB/s | 869.7 KiB |  00m00s
[ 60/156] Installing findutils-1:4.10.0 100% | 371.6 MiB/s |   1.9 MiB |  00m00s
[ 61/156] Installing libmount-0:2.40.2- 100% | 348.6 MiB/s | 356.9 KiB |  00m00s
[ 62/156] Installing lz4-libs-0:1.10.0- 100% | 143.1 MiB/s | 146.6 KiB |  00m00s
[ 63/156] Installing lua-libs-0:5.4.7-1 100% | 279.5 MiB/s | 286.2 KiB |  00m00s
[ 64/156] Installing libcom_err-0:1.47. 100% |   0.0   B/s |  68.3 KiB |  00m00s
[ 65/156] Installing alternatives-0:1.3 100% |   0.0   B/s |  67.9 KiB |  00m00s
[ 66/156] Installing libffi-0:3.4.6-3.f 100% |  85.7 MiB/s |  87.8 KiB |  00m00s
[ 67/156] Installing libtasn1-0:4.19.0- 100% | 173.3 MiB/s | 177.5 KiB |  00m00s
[ 68/156] Installing p11-kit-0:0.25.5-4 100% | 316.6 MiB/s |   2.2 MiB |  00m00s
[ 69/156] Installing libunistring-0:1.1 100% | 432.7 MiB/s |   1.7 MiB |  00m00s
[ 70/156] Installing libidn2-0:2.3.7-2. 100% | 163.6 MiB/s | 335.1 KiB |  00m00s
[ 71/156] Installing libpsl-0:0.21.5-4. 100% |   0.0   B/s |  81.7 KiB |  00m00s
[ 72/156] Installing p11-kit-trust-0:0. 100% |  56.6 MiB/s | 405.5 KiB |  00m00s
[ 73/156] Installing zstd-0:1.5.6-2.fc4 100% | 422.9 MiB/s |   1.7 MiB |  00m00s
[ 74/156] Installing util-linux-core-0: 100% | 254.6 MiB/s |   1.5 MiB |  00m00s
[ 75/156] Installing tar-2:1.35-4.fc41. 100% | 422.6 MiB/s |   3.0 MiB |  00m00s
[ 76/156] Installing libsemanage-0:3.8- 100% | 149.9 MiB/s | 307.1 KiB |  00m00s
[ 77/156] Installing shadow-utils-2:4.1 100% | 274.7 MiB/s |   4.1 MiB |  00m00s
[ 78/156] Installing zip-0:3.0-42.fc42. 100% | 341.7 MiB/s | 699.8 KiB |  00m00s
[ 79/156] Installing gdbm-1:1.23-7.fc41 100% | 227.4 MiB/s | 465.8 KiB |  00m00s
[ 80/156] Installing cyrus-sasl-lib-0:2 100% | 384.3 MiB/s |   2.3 MiB |  00m00s
[ 81/156] Installing libfdisk-0:2.40.2- 100% | 355.5 MiB/s | 364.0 KiB |  00m00s
[ 82/156] Installing libxml2-0:2.12.8-2 100% | 428.0 MiB/s |   1.7 MiB |  00m00s
[ 83/156] Installing bzip2-0:1.0.8-19.f 100% |  97.8 MiB/s | 100.2 KiB |  00m00s
[ 84/156] Installing add-determinism-0: 100% | 405.2 MiB/s |   2.4 MiB |  00m00s
[ 85/156] Installing build-reproducibil 100% |   0.0   B/s |   1.0 KiB |  00m00s
[ 86/156] Installing sqlite-libs-0:3.47 100% | 358.5 MiB/s |   1.4 MiB |  00m00s
[ 87/156] Installing ed-0:1.20.2-2.fc41 100% | 145.7 MiB/s | 149.2 KiB |  00m00s
[ 88/156] Installing patch-0:2.7.6-25.f 100% | 261.9 MiB/s | 268.2 KiB |  00m00s
[ 89/156] Installing elfutils-default-y 100% | 510.7 KiB/s |   2.0 KiB |  00m00s
[ 90/156] Installing elfutils-libs-0:0. 100% | 324.6 MiB/s | 664.7 KiB |  00m00s
[ 91/156] Installing cpio-0:2.15-2.fc41 100% | 274.9 MiB/s |   1.1 MiB |  00m00s
[ 92/156] Installing diffutils-0:3.10-8 100% | 318.1 MiB/s |   1.6 MiB |  00m00s
[ 93/156] Installing libgomp-0:14.2.1-6 100% | 509.0 MiB/s | 521.2 KiB |  00m00s
[ 94/156] Installing json-c-0:0.18-1.fc 100% |   0.0   B/s |  84.6 KiB |  00m00s
[ 95/156] Installing keyutils-libs-0:1. 100% |   0.0   B/s |  55.8 KiB |  00m00s
[ 96/156] Installing libverto-0:0.3.2-9 100% |   0.0   B/s |  31.3 KiB |  00m00s
[ 97/156] Installing jansson-0:2.14-1.f 100% |  92.3 MiB/s |  94.5 KiB |  00m00s
[ 98/156] Installing libpkgconf-0:2.3.0 100% |   0.0   B/s |  79.3 KiB |  00m00s
[ 99/156] Installing pkgconf-0:2.3.0-1. 100% |  89.0 MiB/s |  91.1 KiB |  00m00s
[100/156] Installing pkgconf-pkg-config 100% |   0.0   B/s |   1.8 KiB |  00m00s
[101/156] Installing xxhash-libs-0:0.8. 100% |   0.0   B/s |  89.8 KiB |  00m00s
[102/156] Installing libbrotli-0:1.1.0- 100% | 410.1 MiB/s | 839.9 KiB |  00m00s
[103/156] Installing libnghttp2-0:1.64. 100% | 171.5 MiB/s | 175.6 KiB |  00m00s
[104/156] Installing libtool-ltdl-0:2.5 100% |   0.0   B/s |  69.2 KiB |  00m00s
[105/156] Installing qt6-srpm-macros-0: 100% |   0.0   B/s | 732.0   B |  00m00s
[106/156] Installing qt5-srpm-macros-0: 100% |   0.0   B/s | 776.0   B |  00m00s
[107/156] Installing perl-srpm-macros-0 100% |   0.0   B/s |   1.1 KiB |  00m00s
[108/156] Installing package-notes-srpm 100% |   0.0   B/s |   2.0 KiB |  00m00s
[109/156] Installing openblas-srpm-macr 100% |   0.0   B/s | 392.0   B |  00m00s
[110/156] Installing ocaml-srpm-macros- 100% |   0.0   B/s |   2.2 KiB |  00m00s
[111/156] Installing kernel-srpm-macros 100% |   0.0   B/s |   2.3 KiB |  00m00s
[112/156] Installing gnat-srpm-macros-0 100% |   0.0   B/s |   1.3 KiB |  00m00s
[113/156] Installing ghc-srpm-macros-0: 100% |   0.0   B/s |   1.0 KiB |  00m00s
[114/156] Installing fpc-srpm-macros-0: 100% |   0.0   B/s | 420.0   B |  00m00s
[115/156] Installing ansible-srpm-macro 100% |  35.4 MiB/s |  36.2 KiB |  00m00s
[116/156] Installing coreutils-common-0 100% | 430.4 MiB/s |  11.2 MiB |  00m00s
[117/156] Installing openssl-libs-1:3.2 100% | 460.5 MiB/s |   7.8 MiB |  00m00s
[118/156] Installing coreutils-0:9.5-11 100% | 284.2 MiB/s |   5.4 MiB |  00m00s
[119/156] Installing ca-certificates-0: 100% |   2.2 MiB/s |   2.4 MiB |  00m01s
[120/156] Installing krb5-libs-0:1.21.3 100% | 288.1 MiB/s |   2.3 MiB |  00m00s
[121/156] Installing libarchive-0:3.7.7 100% | 304.1 MiB/s | 934.2 KiB |  00m00s
[122/156] Installing libtirpc-0:1.3.6-1 100% | 202.5 MiB/s | 207.3 KiB |  00m00s
[123/156] Installing gzip-0:1.13-2.fc41 100% | 192.7 MiB/s | 394.6 KiB |  00m00s
[124/156] Installing authselect-libs-0: 100% | 204.4 MiB/s | 837.2 KiB |  00m00s
[125/156] Installing cracklib-0:2.9.11- 100% |  81.5 MiB/s | 250.3 KiB |  00m00s
[126/156] Installing libpwquality-0:1.4 100% | 140.0 MiB/s | 430.1 KiB |  00m00s
[127/156] Installing libnsl2-0:2.0.1-2. 100% |  57.7 MiB/s |  59.1 KiB |  00m00s
[128/156] Installing pam-0:1.7.0-3.fc42 100% | 189.4 MiB/s |   1.9 MiB |  00m00s
[129/156] Installing libssh-0:0.11.1-1. 100% | 279.2 MiB/s | 571.7 KiB |  00m00s
[130/156] Installing rpm-sequoia-0:1.7. 100% | 387.3 MiB/s |   2.3 MiB |  00m00s
[131/156] Installing rpm-libs-0:4.20.0- 100% | 355.3 MiB/s | 727.7 KiB |  00m00s
[132/156] Installing rpm-build-libs-0:4 100% | 202.6 MiB/s | 207.5 KiB |  00m00s
[133/156] Installing libevent-0:2.1.12- 100% | 292.8 MiB/s | 899.5 KiB |  00m00s
[134/156] Installing openldap-0:2.6.8-6 100% | 318.0 MiB/s | 651.2 KiB |  00m00s
[135/156] Installing libcurl-0:8.11.1-2 100% | 399.6 MiB/s | 818.4 KiB |  00m00s
[136/156] Installing elfutils-debuginfo 100% |  81.8 MiB/s |  83.8 KiB |  00m00s
[137/156] Installing elfutils-0:0.192-7 100% | 377.8 MiB/s |   2.6 MiB |  00m00s
[138/156] Installing binutils-0:2.43.50 100% | 430.1 MiB/s |  25.8 MiB |  00m00s
[139/156] Installing gdb-minimal-0:15.2 100% | 424.2 MiB/s |  12.7 MiB |  00m00s
[140/156] Installing debugedit-0:5.1-2. 100% | 198.3 MiB/s | 203.0 KiB |  00m00s
[141/156] Installing curl-0:8.11.1-2.fc 100% |  55.5 MiB/s | 454.5 KiB |  00m00s
[142/156] Installing rpm-0:4.20.0-1.fc4 100% | 208.8 MiB/s |   2.5 MiB |  00m00s
[143/156] Installing efi-srpm-macros-0: 100% |   0.0   B/s |  41.2 KiB |  00m00s
[144/156] Installing lua-srpm-macros-0: 100% |   0.0   B/s |   1.9 KiB |  00m00s
[145/156] Installing zig-srpm-macros-0: 100% |   0.0   B/s |   1.7 KiB |  00m00s
[146/156] Installing python-srpm-macros 100% |   0.0   B/s |  52.2 KiB |  00m00s
[147/156] Installing fonts-srpm-macros- 100% |   0.0   B/s |  57.0 KiB |  00m00s
[148/156] Installing go-srpm-macros-0:3 100% |   0.0   B/s |  62.0 KiB |  00m00s
[149/156] Installing forge-srpm-macros- 100% |   0.0   B/s |  40.3 KiB |  00m00s
[150/156] Installing redhat-rpm-config- 100% | 188.7 MiB/s | 193.2 KiB |  00m00s
[151/156] Installing rpm-build-0:4.20.0 100% |  99.1 MiB/s | 202.9 KiB |  00m00s
[152/156] Installing pyproject-srpm-mac 100% |   2.4 MiB/s |   2.5 KiB |  00m00s
[153/156] Installing util-linux-0:2.40. 100% | 185.8 MiB/s |   3.7 MiB |  00m00s
[154/156] Installing authselect-0:1.5.0 100% |  79.1 MiB/s | 161.9 KiB |  00m00s
[155/156] Installing which-0:2.21-42.fc 100% |  80.5 MiB/s |  82.4 KiB |  00m00s
[156/156] Installing info-0:7.1.1-2.fc4 100% | 253.9 KiB/s | 362.2 KiB |  00m01s
Warning: skipped OpenPGP 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-2.43.50-9.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_v8.0.401-3.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-20241128-1.gitbb7b0b0.fc42.noarch
curl-8.11.1-2.fc42.x86_64
cyrus-sasl-lib-2.1.28-27.fc41.x86_64
debugedit-5.1-2.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-0.192-7.fc42.x86_64
elfutils-debuginfod-client-0.192-7.fc42.x86_64
elfutils-default-yama-scope-0.192-7.fc42.noarch
elfutils-libelf-0.192-7.fc42.x86_64
elfutils-libs-0.192-7.fc42.x86_64
fedora-gpg-keys-42-0.3.noarch
fedora-release-42-0.11.noarch
fedora-release-common-42-0.11.noarch
fedora-release-identity-basic-42-0.11.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-15.2-4.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-2.40.9000-24.fc42.x86_64
glibc-common-2.40.9000-24.fc42.x86_64
glibc-gconv-extra-2.40.9000-24.fc42.x86_64
glibc-minimal-langpack-2.40.9000-24.fc42.x86_64
gmp-6.3.0-2.fc41.x86_64
gnat-srpm-macros-6-6.fc41.noarch
go-srpm-macros-3.6.0-5.fc42.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-8.11.1-2.fc42.x86_64
libeconf-0.7.5-1.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-3.8-0.rc1.2.fc42.x86_64
libsemanage-3.8-0.rc1.1.fc42.x86_64
libsepol-3.8-0.rc1.1.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-2.5.4-1.fc42.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-4.4.36-11.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-2.6.8-6.fc42.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-1.16.3-1.fc42.noarch
python-srpm-macros-3.13-3.fc41.noarch
qt5-srpm-macros-5.15.15-1.fc42.noarch
qt6-srpm-macros-6.8.1-4.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-1.7.0-3.fc42.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-4.17.0~rc1-1.fc42.x86_64
sqlite-libs-3.47.2-1.fc42.x86_64
systemd-libs-257-3.fc42.x86_64
tar-1.35-4.fc41.x86_64
unzip-6.0-65.fc42.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-3.0-42.fc42.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=1734566400
Wrote: /builddir/build/SRPMS/python-scikit-learn-1.6.0-1.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_64-1734571108.895355/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-ymrikba5/python-scikit-learn/python-scikit-learn.spec) Config(child) 0 minutes 17 seconds
INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results
INFO: Cleaning up build root ('cleanup_on_success=True')
Start: clean chroot
INFO: unmounting tmpfs.
Finish: clean chroot
INFO: Start(/var/lib/copr-rpmbuild/results/python-scikit-learn-1.6.0-1.fc42.src.rpm)  Config(fedora-rawhide-x86_64)
Start(bootstrap): chroot init
INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-x86_64-bootstrap-1734571108.895355/root.
INFO: reusing tmpfs at /var/lib/mock/fedora-rawhide-x86_64-bootstrap-1734571108.895355/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_64-1734571108.895355/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-1.7.0-3.fc42.x86_64
  dnf5-5.2.8.1-2.fc42.x86_64
  dnf5-plugins-5.2.8.1-2.fc42.x86_64
Finish: chroot init
Start: build phase for python-scikit-learn-1.6.0-1.fc42.src.rpm
Start: build setup for python-scikit-learn-1.6.0-1.fc42.src.rpm
Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1734566400
Wrote: /builddir/build/SRPMS/python-scikit-learn-1.6.0-1.fc42.src.rpm
Updating and loading repositories:
 fedora                                 100% |  98.8 KiB/s |  26.0 KiB |  00m00s
 Copr repository                        100% | 139.4 KiB/s |   1.5 KiB |  00m00s
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 3.13.1-2.fc42        fedora       1.8 MiB
 python3-joblib         noarch 1.4.2-3.fc41         fedora       2.2 MiB
 python3-pytest         noarch 8.3.4-1.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         fedora     136.8 KiB
Installing dependencies:
 annobin-docs           noarch 12.79-1.fc42         fedora      98.6 KiB
 annobin-plugin-gcc     x86_64 12.79-1.fc42         fedora     989.3 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 2.40.9000-24.fc42    fedora       2.3 MiB
 kernel-headers         x86_64 6.13.0-0.rc3.29.fc42 fedora       6.5 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 4.4.36-11.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 1.16.3-1.fc42        copr_base  113.7 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 3.13.1-2.fc42        fedora      30.6 KiB
 python3-cloudpickle    noarch 3.1.0-2.fc42         copr_base  128.0 KiB
 python3-iniconfig      noarch 1.1.1-24.fc41        copr_base   20.6 KiB
 python3-libs           x86_64 3.13.1-2.fc42        fedora      39.8 MiB
 python3-packaging      noarch 24.2-2.fc42          copr_base  555.7 KiB
 python3-pluggy         noarch 1.5.0-1.fc41         copr_base  193.4 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 2024b-1.fc42         fedora       1.6 MiB

Transaction Summary:
 Installing:        32 packages

Total size of inbound packages is 86 MiB. Need to download 86 MiB.
After this operation, 282 MiB extra will be used (install 282 MiB, remove 0 B).
[ 1/32] python3-devel-0:3.13.1-2.fc42.x 100% |  21.9 MiB/s | 403.1 KiB |  00m00s
[ 2/32] python3-joblib-0:1.4.2-3.fc41.n 100% |  46.7 MiB/s | 573.9 KiB |  00m00s
[ 3/32] python3-setuptools-0:74.1.3-4.f 100% |  95.6 MiB/s |   1.8 MiB |  00m00s
[ 4/32] gcc-c++-0:14.2.1-6.fc42.x86_64  100% | 217.9 MiB/s |  14.2 MiB |  00m00s
[ 5/32] python3-threadpoolctl-0:3.5.0-4 100% |   2.9 MiB/s |  44.4 KiB |  00m00s
[ 6/32] libmpc-0:1.3.1-6.fc41.x86_64    100% |   7.7 MiB/s |  71.1 KiB |  00m00s
[ 7/32] make-1:4.4.1-9.fc42.x86_64      100% | 114.5 MiB/s | 586.3 KiB |  00m00s
[ 8/32] python3-libs-0:3.13.1-2.fc42.x8 100% | 235.4 MiB/s |   8.9 MiB |  00m00s
[ 9/32] expat-0:2.6.4-1.fc42.x86_64     100% |  22.4 MiB/s | 114.5 KiB |  00m00s
[10/32] libb2-0:0.98.1-12.fc41.x86_64   100% |  12.5 MiB/s |  25.7 KiB |  00m00s
[11/32] gcc-0:14.2.1-6.fc42.x86_64      100% | 224.0 MiB/s |  37.0 MiB |  00m00s
[12/32] mpdecimal-0:2.5.1-16.fc41.x86_6 100% |   2.4 MiB/s |  89.0 KiB |  00m00s
[13/32] tzdata-0:2024b-1.fc42.noarch    100% | 139.2 MiB/s | 712.7 KiB |  00m00s
[14/32] python3-0:3.13.1-2.fc42.x86_64  100% |  13.1 MiB/s |  26.9 KiB |  00m00s
[15/32] python3-pytest-0:8.3.4-1.fc42.n 100% | 195.5 MiB/s |   2.2 MiB |  00m00s
[16/32] python3-iniconfig-0:1.1.1-24.fc 100% |   4.5 MiB/s |  18.6 KiB |  00m00s
[17/32] python3-pluggy-0:1.5.0-1.fc41.n 100% |  17.5 MiB/s |  53.8 KiB |  00m00s
[18/32] python3-packaging-0:24.2-2.fc42 100% |  28.2 MiB/s | 144.2 KiB |  00m00s
[19/32] python3-cloudpickle-0:3.1.0-2.f 100% |  15.6 MiB/s |  47.8 KiB |  00m00s
[20/32] python-pip-wheel-0:24.3.1-1.fc4 100% | 120.5 MiB/s |   1.2 MiB |  00m00s
[21/32] libstdc++-devel-0:14.2.1-6.fc42 100% | 250.7 MiB/s |   2.8 MiB |  00m00s
[22/32] libxcrypt-devel-0:4.4.36-11.fc4 100% |   1.7 MiB/s |  28.2 KiB |  00m00s
[23/32] glibc-devel-0:2.40.9000-24.fc42 100% |  22.6 MiB/s | 647.2 KiB |  00m00s
[24/32] kernel-headers-0:6.13.0-0.rc3.2 100% | 164.5 MiB/s |   1.6 MiB |  00m00s
[25/32] annobin-plugin-gcc-0:12.79-1.fc 100% | 158.8 MiB/s | 975.8 KiB |  00m00s
[26/32] gcc-plugin-annobin-0:14.2.1-6.f 100% |  27.9 MiB/s |  57.1 KiB |  00m00s
[27/32] annobin-docs-0:12.79-1.fc42.noa 100% |  30.2 MiB/s |  92.7 KiB |  00m00s
[28/32] python-rpm-macros-0:3.13-3.fc41 100% |  17.3 MiB/s |  17.7 KiB |  00m00s
[29/32] python3-rpm-macros-0:3.13-3.fc4 100% |   6.1 MiB/s |  12.4 KiB |  00m00s
[30/32] python3-rpm-generators-0:14-11. 100% |   9.5 MiB/s |  29.3 KiB |  00m00s
[31/32] pyproject-rpm-macros-0:1.16.3-1 100% |  14.7 MiB/s |  45.2 KiB |  00m00s
[32/32] cpp-0:14.2.1-6.fc42.x86_64      100% |  61.9 MiB/s |  11.9 MiB |  00m00s
--------------------------------------------------------------------------------
[32/32] Total                           100% | 296.5 MiB/s |  86.3 MiB |  00m00s
Running transaction
[ 1/34] Verify package files            100% | 137.0   B/s |  32.0   B |  00m00s
[ 2/34] Prepare transaction             100% | 800.0   B/s |  32.0   B |  00m00s
[ 3/34] Installing python-rpm-macros-0: 100% |   0.0   B/s |  22.8 KiB |  00m00s
[ 4/34] Installing libmpc-0:1.3.1-6.fc4 100% | 162.3 MiB/s | 166.2 KiB |  00m00s
[ 5/34] Installing python3-rpm-macros-0 100% |   0.0   B/s |   6.7 KiB |  00m00s
[ 6/34] Installing pyproject-rpm-macros 100% | 113.0 MiB/s | 115.7 KiB |  00m00s
[ 7/34] Installing cpp-0:14.2.1-6.fc42. 100% | 416.4 MiB/s |  35.0 MiB |  00m00s
[ 8/34] Installing annobin-docs-0:12.79 100% |  48.7 MiB/s |  99.7 KiB |  00m00s
[ 9/34] Installing kernel-headers-0:6.1 100% | 246.1 MiB/s |   6.6 MiB |  00m00s
[10/34] Installing libxcrypt-devel-0:4. 100% |  16.0 MiB/s |  32.9 KiB |  00m00s
[11/34] Installing glibc-devel-0:2.40.9 100% | 179.3 MiB/s |   2.3 MiB |  00m00s
[12/34] Installing libstdc++-devel-0:14 100% | 432.2 MiB/s |  15.6 MiB |  00m00s
[13/34] Installing python-pip-wheel-0:2 100% | 248.8 MiB/s |   1.2 MiB |  00m00s
[14/34] Installing tzdata-0:2024b-1.fc4 100% |  67.3 MiB/s |   1.9 MiB |  00m00s
[15/34] Installing mpdecimal-0:2.5.1-16 100% | 201.2 MiB/s | 206.0 KiB |  00m00s
[16/34] Installing libb2-0:0.98.1-12.fc 100% |   0.0   B/s |  43.3 KiB |  00m00s
[17/34] Installing expat-0:2.6.4-1.fc42 100% |  56.2 MiB/s | 287.6 KiB |  00m00s
[18/34] Installing python3-libs-0:3.13. 100% | 379.4 MiB/s |  40.2 MiB |  00m00s
[19/34] Installing python3-0:3.13.1-2.f 100% |  31.6 MiB/s |  32.4 KiB |  00m00s
[20/34] Installing python3-packaging-0: 100% | 184.9 MiB/s | 568.0 KiB |  00m00s
[21/34] Installing python3-rpm-generato 100% |   0.0   B/s |  82.9 KiB |  00m00s
[22/34] Installing python3-iniconfig-0: 100% |  23.0 MiB/s |  23.6 KiB |  00m00s
[23/34] Installing python3-pluggy-0:1.5 100% | 195.0 MiB/s | 199.6 KiB |  00m00s
[24/34] Installing python3-cloudpickle- 100% | 128.5 MiB/s | 131.6 KiB |  00m00s
[25/34] Installing make-1:4.4.1-9.fc42. 100% | 300.0 MiB/s |   1.8 MiB |  00m00s
[26/34] Installing gcc-0:14.2.1-6.fc42. 100% | 467.8 MiB/s | 104.3 MiB |  00m00s
[27/34] Installing gcc-c++-0:14.2.1-6.f 100% | 428.4 MiB/s |  38.1 MiB |  00m00s
[28/34] Installing annobin-plugin-gcc-0 100% |  74.4 MiB/s | 990.9 KiB |  00m00s
[29/34] Installing gcc-plugin-annobin-0 100% |   4.8 MiB/s |  59.2 KiB |  00m00s
[30/34] Installing python3-joblib-0:1.4 100% | 202.6 MiB/s |   2.2 MiB |  00m00s
[31/34] Installing python3-pytest-0:8.3 100% | 477.5 MiB/s |  21.0 MiB |  00m00s
[32/34] Installing python3-devel-0:3.13 100% | 201.7 MiB/s |   1.8 MiB |  00m00s
[33/34] Installing python3-setuptools-0 100% | 276.1 MiB/s |   8.6 MiB |  00m00s
[34/34] Installing python3-threadpoolct 100% |   1.3 MiB/s | 138.9 KiB |  00m00s
Warning: skipped OpenPGP checks for 7 packages from repository: copr_base
Complete!
Finish: build setup for python-scikit-learn-1.6.0-1.fc42.src.rpm
Start: rpmbuild python-scikit-learn-1.6.0-1.fc42.src.rpm
Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1734566400
Executing(%mkbuilddir): /bin/sh -e /var/tmp/rpm-tmp.vSAZZC
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.6.0-build
+ test -d /builddir/build/BUILD/python-scikit-learn-1.6.0-build
+ /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w /builddir/build/BUILD/python-scikit-learn-1.6.0-build
+ /usr/bin/rm -rf /builddir/build/BUILD/python-scikit-learn-1.6.0-build
+ /usr/bin/mkdir -p /builddir/build/BUILD/python-scikit-learn-1.6.0-build
+ /usr/bin/mkdir -p /builddir/build/BUILD/python-scikit-learn-1.6.0-build/SPECPARTS
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.yEmHri
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.6.0-build
+ cd /builddir/build/BUILD/python-scikit-learn-1.6.0-build
+ rm -rf scikit_learn-1.6.0
+ /usr/lib/rpm/rpmuncompress -x /builddir/build/SOURCES/scikit_learn-1.6.0.tar.gz
+ STATUS=0
+ '[' 0 -ne 0 ']'
+ cd scikit_learn-1.6.0
+ /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.CvXXSJ
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.6.0-build
+ cd scikit_learn-1.6.0
+ echo pyproject-rpm-macros
+ echo python3-devel
+ echo 'python3dist(packaging)'
+ echo 'python3dist(pip) >= 19'
+ '[' -f pyproject.toml ']'
+ echo '(python3dist(tomli) if python3-devel < 3.11)'
+ rm -rfv '*.dist-info/'
+ '[' -f /usr/bin/python3 ']'
+ mkdir -p /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/.pyproject-builddir
+ echo -n
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ VALAFLAGS=-g
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn'
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ CC=gcc
+ CXX=g++
+ TMPDIR=/builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/.pyproject-builddir
+ RPM_TOXENV=py313
+ HOSTNAME=rpmbuild
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/pyproject-wheeldir --output /builddir/build/BUILD/python-scikit-learn-1.6.0-build/python-scikit-learn-1.6.0-1.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-1.6.0-build/python-scikit-learn-1.6.0-1.fc42.x86_64-pyproject-buildrequires
+ rm -rfv '*.dist-info/'
+ RPM_EC=0
++ jobs -p
+ exit 0
Wrote: /builddir/build/SRPMS/python-scikit-learn-1.6.0-1.fc42.buildreqs.nosrc.rpm
INFO: Going to install missing dynamic buildrequires
Updating and loading repositories:
 Copr repository                        100% | 109.5 KiB/s |   1.5 KiB |  00m00s
 fedora                                 100% | 262.5 KiB/s |  26.0 KiB |  00m00s
Repositories loaded.
Package "gcc-14.2.1-6.fc42.x86_64" is already installed.
Package "gcc-c++-14.2.1-6.fc42.x86_64" is already installed.
Package "pyproject-rpm-macros-1.16.3-1.fc42.noarch" is already installed.
Package "python3-devel-3.13.1-2.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-8.3.4-1.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 1:2.2.0-3.fc42   copr_base   40.8 MiB
 python3-pip                noarch 24.3.1-1.fc42    copr_base   11.3 MiB
 python3-scipy              x86_64 1.14.1-2.fc42    copr_base   66.8 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 1.6.1-1.fc42     fedora      11.4 MiB
 ninja-build                x86_64 1.12.1-3.fc41    fedora     432.6 KiB
 openblas                   x86_64 0.3.28-2.fc42    fedora     106.6 KiB
 openblas-openmp            x86_64 0.3.28-2.fc42    fedora      39.3 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 1:2.2.0-3.fc42   copr_base    2.0 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     fedora      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 2:9.1.919-1.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, 208 MiB extra will be used (install 208 MiB, remove 0 B).
[ 1/25] python3-meson-python-0:0.17.1-1 100% |   6.0 MiB/s |  86.2 KiB |  00m00s
[ 2/25] python3-cython-0:3.0.11-1.fc41. 100% | 135.2 MiB/s |   3.9 MiB |  00m00s
[ 3/25] python3-numpy-1:2.2.0-3.fc42.x8 100% | 213.9 MiB/s |   7.7 MiB |  00m00s
[ 4/25] meson-0:1.6.1-1.fc42.noarch     100% | 198.7 MiB/s |   2.2 MiB |  00m00s
[ 5/25] patchelf-0:0.18.0-5.fc41.x86_64 100% |  40.8 MiB/s | 125.5 KiB |  00m00s
[ 6/25] flexiblas-netlib-0:3.4.4-3.fc41 100% | 169.4 MiB/s |   3.2 MiB |  00m00s
[ 7/25] python3-scipy-0:1.14.1-2.fc42.x 100% | 295.0 MiB/s |  16.5 MiB |  00m00s
[ 8/25] python3-pip-0:24.3.1-1.fc42.noa 100% |  34.5 MiB/s |   2.5 MiB |  00m00s
[ 9/25] libgfortran-0:14.2.1-6.fc42.x86 100% |  48.3 MiB/s | 939.2 KiB |  00m00s
[10/25] ninja-build-0:1.12.1-3.fc41.x86 100% |  35.2 MiB/s | 180.0 KiB |  00m00s
[11/25] flexiblas-0:3.4.4-3.fc41.x86_64 100% |   6.2 MiB/s |  25.3 KiB |  00m00s
[12/25] flexiblas-openblas-openmp-0:3.4 100% |   4.2 MiB/s |  17.2 KiB |  00m00s
[13/25] emacs-filesystem-1:30.0-3.fc41. 100% |   3.5 MiB/s |   7.1 KiB |  00m00s
[14/25] libquadmath-0:14.2.1-6.fc42.x86 100% |  39.9 MiB/s | 204.3 KiB |  00m00s
[15/25] vim-filesystem-2:9.1.919-1.fc42 100% |   8.0 MiB/s |  16.4 KiB |  00m00s
[16/25] python3-pyproject-metadata-0:0. 100% |  15.3 MiB/s |  31.3 KiB |  00m00s
[17/25] openblas-0:0.3.28-2.fc42.x86_64 100% |  20.0 MiB/s |  41.0 KiB |  00m00s
[18/25] python3-numpy-f2py-1:2.2.0-3.fc 100% | 109.6 MiB/s | 448.9 KiB |  00m00s
[19/25] python3-pooch-0:1.8.2-4.fc42.no 100% |  31.0 MiB/s | 126.9 KiB |  00m00s
[20/25] python3-platformdirs-0:4.2.2-3. 100% |  20.3 MiB/s |  41.5 KiB |  00m00s
[21/25] python3-requests-0:2.32.3-3.fc4 100% |  36.5 MiB/s | 149.6 KiB |  00m00s
[22/25] python3-charset-normalizer-0:3. 100% |  24.9 MiB/s | 101.8 KiB |  00m00s
[23/25] python3-idna-0:3.10-1.fc42.noar 100% |  36.5 MiB/s | 112.3 KiB |  00m00s
[24/25] openblas-openmp-0:0.3.28-2.fc42 100% | 247.9 MiB/s |   5.0 MiB |  00m00s
[25/25] python3-urllib3-0:2.2.3-5.fc42. 100% |  36.2 MiB/s | 259.6 KiB |  00m00s
--------------------------------------------------------------------------------
[25/25] Total                           100% | 250.7 MiB/s |  43.9 MiB |  00m00s
Running transaction
[ 1/27] Verify package files            100% | 183.0   B/s |  25.0   B |  00m00s
[ 2/27] Prepare transaction             100% | 543.0   B/s |  25.0   B |  00m00s
[ 3/27] Installing libgfortran-0:14.2.1 100% | 380.6 MiB/s |   3.0 MiB |  00m00s
[ 4/27] Installing python3-idna-0:3.10- 100% | 309.7 MiB/s | 634.3 KiB |  00m00s
[ 5/27] Installing python3-urllib3-0:2. 100% | 250.4 MiB/s |   1.0 MiB |  00m00s
[ 6/27] Installing python3-charset-norm 100% | 161.0 MiB/s | 329.8 KiB |  00m00s
[ 7/27] Installing python3-requests-0:2 100% | 243.1 MiB/s | 497.9 KiB |  00m00s
[ 8/27] Installing python3-platformdirs 100% | 170.8 MiB/s | 174.9 KiB |  00m00s
[ 9/27] Installing python3-pooch-0:1.8. 100% | 208.5 MiB/s | 640.5 KiB |  00m00s
[10/27] Installing openblas-0:0.3.28-2. 100% |   0.0   B/s | 108.3 KiB |  00m00s
[11/27] Installing openblas-openmp-0:0. 100% | 644.0 MiB/s |  39.3 MiB |  00m00s
[12/27] Installing python3-pyproject-me 100% |  92.7 MiB/s |  95.0 KiB |  00m00s
[13/27] Installing vim-filesystem-2:9.1 100% |   4.6 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% | 141.9 MiB/s | 435.8 KiB |  00m00s
[16/27] Installing meson-0:1.6.1-1.fc42 100% | 372.2 MiB/s |  11.5 MiB |  00m00s
[17/27] Installing libquadmath-0:14.2.1 100% | 319.5 MiB/s | 327.2 KiB |  00m00s
[18/27] Installing flexiblas-0:3.4.4-3. 100% |   0.0   B/s |  49.7 KiB |  00m00s
[19/27] Installing flexiblas-openblas-o 100% |   0.0   B/s |  44.1 KiB |  00m00s
[20/27] Installing flexiblas-netlib-0:3 100% | 444.4 MiB/s |  10.7 MiB |  00m00s
[21/27] Installing python3-numpy-f2py-1 100% | 187.9 MiB/s |   2.1 MiB |  00m00s
[22/27] Installing python3-numpy-1:2.2. 100% | 432.4 MiB/s |  41.1 MiB |  00m00s
[23/27] Installing patchelf-0:0.18.0-5. 100% | 278.7 MiB/s | 285.4 KiB |  00m00s
[24/27] Installing python3-meson-python 100% |  69.3 MiB/s | 283.7 KiB |  00m00s
[25/27] Installing python3-scipy-0:1.14 100% | 419.7 MiB/s |  67.1 MiB |  00m00s
[26/27] Installing python3-pip-0:24.3.1 100% | 252.5 MiB/s |  11.6 MiB |  00m00s
[27/27] Installing python3-cython-0:3.0 100% | 223.0 MiB/s |  18.3 MiB |  00m00s
Warning: skipped OpenPGP checks for 10 packages from repository: copr_base
Complete!
Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1734566400
Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.xZf2rv
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.6.0-build
+ cd scikit_learn-1.6.0
+ echo pyproject-rpm-macros
+ echo python3-devel
+ echo 'python3dist(packaging)'
+ echo 'python3dist(pip) >= 19'
+ '[' -f pyproject.toml ']'
+ echo '(python3dist(tomli) if python3-devel < 3.11)'
+ rm -rfv '*.dist-info/'
+ '[' -f /usr/bin/python3 ']'
+ mkdir -p /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/.pyproject-builddir
+ echo -n
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ VALAFLAGS=-g
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn'
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ CC=gcc
+ CXX=g++
+ TMPDIR=/builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/.pyproject-builddir
+ RPM_TOXENV=py313
+ HOSTNAME=rpmbuild
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/pyproject-wheeldir --output /builddir/build/BUILD/python-scikit-learn-1.6.0-build/python-scikit-learn-1.6.0-1.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 2.2.0)
Handling scipy>=1.6.0 from build-system.requires
Requirement satisfied: scipy>=1.6.0
   (installed: scipy 1.14.1)
Handling numpy>=1.19.5 from pyproject.toml generated metadata: [dependencies] (scikit-learn)
Requirement satisfied: numpy>=1.19.5
   (installed: numpy 2.2.0)
Handling scipy>=1.6.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn)
Requirement satisfied: scipy>=1.6.0
   (installed: scipy 1.14.1)
Handling joblib>=1.2.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn)
Requirement satisfied: joblib>=1.2.0
   (installed: joblib 1.4.2)
Handling threadpoolctl>=3.1.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn)
Requirement satisfied: threadpoolctl>=3.1.0
   (installed: threadpoolctl 3.5.0)
Handling numpy>=1.19.5 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn)
Ignoring alien requirement: numpy>=1.19.5
Handling scipy>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn)
Ignoring alien requirement: scipy>=1.6.0
Handling cython>=3.0.10 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn)
Ignoring alien requirement: cython>=3.0.10
Handling meson-python>=0.16.0 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn)
Ignoring alien requirement: meson-python>=0.16.0
Handling numpy>=1.19.5 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn)
Ignoring alien requirement: numpy>=1.19.5
Handling scipy>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn)
Ignoring alien requirement: scipy>=1.6.0
Handling joblib>=1.2.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn)
Ignoring alien requirement: joblib>=1.2.0
Handling threadpoolctl>=3.1.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn)
Ignoring alien requirement: threadpoolctl>=3.1.0
Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn)
Ignoring alien requirement: matplotlib>=3.3.4
Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn)
Ignoring alien requirement: pandas>=1.1.5
Handling memory_profiler>=0.57.0 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn)
Ignoring alien requirement: memory_profiler>=0.57.0
Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: matplotlib>=3.3.4
Handling scikit-image>=0.17.2 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: scikit-image>=0.17.2
Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: pandas>=1.1.5
Handling seaborn>=0.9.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: seaborn>=0.9.0
Handling memory_profiler>=0.57.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: memory_profiler>=0.57.0
Handling sphinx>=7.3.7 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx>=7.3.7
Handling sphinx-copybutton>=0.5.2 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-copybutton>=0.5.2
Handling sphinx-gallery>=0.17.1 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-gallery>=0.17.1
Handling numpydoc>=1.2.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: numpydoc>=1.2.0
Handling Pillow>=7.1.2 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: Pillow>=7.1.2
Handling pooch>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: pooch>=1.6.0
Handling sphinx-prompt>=1.4.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-prompt>=1.4.0
Handling sphinxext-opengraph>=0.9.1 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinxext-opengraph>=0.9.1
Handling plotly>=5.14.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: plotly>=5.14.0
Handling polars>=0.20.30 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: polars>=0.20.30
Handling sphinx-design>=0.5.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-design>=0.5.0
Handling sphinx-design>=0.6.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-design>=0.6.0
Handling sphinxcontrib-sass>=0.3.4 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinxcontrib-sass>=0.3.4
Handling pydata-sphinx-theme>=0.15.3 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: pydata-sphinx-theme>=0.15.3
Handling sphinx-remove-toctrees>=1.0.0.post1 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-remove-toctrees>=1.0.0.post1
Handling towncrier>=24.8.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: towncrier>=24.8.0
Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: matplotlib>=3.3.4
Handling scikit-image>=0.17.2 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: scikit-image>=0.17.2
Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: pandas>=1.1.5
Handling seaborn>=0.9.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: seaborn>=0.9.0
Handling pooch>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: pooch>=1.6.0
Handling plotly>=5.14.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: plotly>=5.14.0
Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: matplotlib>=3.3.4
Handling scikit-image>=0.17.2 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: scikit-image>=0.17.2
Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pandas>=1.1.5
Handling pytest>=7.1.2 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pytest>=7.1.2
Handling pytest-cov>=2.9.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pytest-cov>=2.9.0
Handling ruff>=0.5.1 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: ruff>=0.5.1
Handling black>=24.3.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: black>=24.3.0
Handling mypy>=1.9 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: mypy>=1.9
Handling pyamg>=4.0.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pyamg>=4.0.0
Handling polars>=0.20.30 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: polars>=0.20.30
Handling pyarrow>=12.0.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pyarrow>=12.0.0
Handling numpydoc>=1.2.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: numpydoc>=1.2.0
Handling pooch>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pooch>=1.6.0
Handling conda-lock==2.5.6 from pyproject.toml generated metadata: [optional-dependencies] maintenance (scikit-learn)
Ignoring alien requirement: conda-lock==2.5.6
+ cat /builddir/build/BUILD/python-scikit-learn-1.6.0-build/python-scikit-learn-1.6.0-1.fc42.x86_64-pyproject-buildrequires
+ rm -rfv '*.dist-info/'
+ RPM_EC=0
++ jobs -p
+ exit 0
Wrote: /builddir/build/SRPMS/python-scikit-learn-1.6.0-1.fc42.buildreqs.nosrc.rpm
INFO: Going to install missing dynamic buildrequires
Updating and loading repositories:
 fedora                                 100% |   1.0 MiB/s |  26.0 KiB |  00m00s
 Copr repository                        100% | 117.9 KiB/s |   1.5 KiB |  00m00s
Repositories loaded.
Nothing to do.
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-1.16.3-1.fc42.noarch" is already installed.
Package "python3-devel-3.13.1-2.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-1:2.2.0-3.fc42.x86_64" is already installed.
Package "python3-numpy-1:2.2.0-3.fc42.x86_64" is already installed.
Package "python3-packaging-24.2-2.fc42.noarch" is already installed.
Package "python3-pip-24.3.1-1.fc42.noarch" is already installed.
Package "python3-pytest-8.3.4-1.fc42.noarch" is already installed.
Package "python3-scipy-1.14.1-2.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.

Building target platforms: x86_64
Building for target x86_64
setting SOURCE_DATE_EPOCH=1734566400
Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.nDL4tI
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.6.0-build
+ cd scikit_learn-1.6.0
+ echo pyproject-rpm-macros
+ echo python3-devel
+ echo 'python3dist(packaging)'
+ echo 'python3dist(pip) >= 19'
+ '[' -f pyproject.toml ']'
+ echo '(python3dist(tomli) if python3-devel < 3.11)'
+ rm -rfv '*.dist-info/'
+ '[' -f /usr/bin/python3 ']'
+ mkdir -p /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/.pyproject-builddir
+ echo -n
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ VALAFLAGS=-g
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn'
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ CC=gcc
+ CXX=g++
+ TMPDIR=/builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/.pyproject-builddir
+ RPM_TOXENV=py313
+ HOSTNAME=rpmbuild
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/pyproject-wheeldir --output /builddir/build/BUILD/python-scikit-learn-1.6.0-build/python-scikit-learn-1.6.0-1.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 2.2.0)
Handling scipy>=1.6.0 from build-system.requires
Requirement satisfied: scipy>=1.6.0
   (installed: scipy 1.14.1)
Handling numpy>=1.19.5 from pyproject.toml generated metadata: [dependencies] (scikit-learn)
Requirement satisfied: numpy>=1.19.5
   (installed: numpy 2.2.0)
Handling scipy>=1.6.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn)
Requirement satisfied: scipy>=1.6.0
   (installed: scipy 1.14.1)
Handling joblib>=1.2.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn)
Requirement satisfied: joblib>=1.2.0
   (installed: joblib 1.4.2)
Handling threadpoolctl>=3.1.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn)
Requirement satisfied: threadpoolctl>=3.1.0
   (installed: threadpoolctl 3.5.0)
Handling numpy>=1.19.5 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn)
Ignoring alien requirement: numpy>=1.19.5
Handling scipy>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn)
Ignoring alien requirement: scipy>=1.6.0
Handling cython>=3.0.10 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn)
Ignoring alien requirement: cython>=3.0.10
Handling meson-python>=0.16.0 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn)
Ignoring alien requirement: meson-python>=0.16.0
Handling numpy>=1.19.5 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn)
Ignoring alien requirement: numpy>=1.19.5
Handling scipy>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn)
Ignoring alien requirement: scipy>=1.6.0
Handling joblib>=1.2.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn)
Ignoring alien requirement: joblib>=1.2.0
Handling threadpoolctl>=3.1.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn)
Ignoring alien requirement: threadpoolctl>=3.1.0
Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn)
Ignoring alien requirement: matplotlib>=3.3.4
Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn)
Ignoring alien requirement: pandas>=1.1.5
Handling memory_profiler>=0.57.0 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn)
Ignoring alien requirement: memory_profiler>=0.57.0
Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: matplotlib>=3.3.4
Handling scikit-image>=0.17.2 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: scikit-image>=0.17.2
Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: pandas>=1.1.5
Handling seaborn>=0.9.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: seaborn>=0.9.0
Handling memory_profiler>=0.57.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: memory_profiler>=0.57.0
Handling sphinx>=7.3.7 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx>=7.3.7
Handling sphinx-copybutton>=0.5.2 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-copybutton>=0.5.2
Handling sphinx-gallery>=0.17.1 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-gallery>=0.17.1
Handling numpydoc>=1.2.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: numpydoc>=1.2.0
Handling Pillow>=7.1.2 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: Pillow>=7.1.2
Handling pooch>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: pooch>=1.6.0
Handling sphinx-prompt>=1.4.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-prompt>=1.4.0
Handling sphinxext-opengraph>=0.9.1 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinxext-opengraph>=0.9.1
Handling plotly>=5.14.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: plotly>=5.14.0
Handling polars>=0.20.30 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: polars>=0.20.30
Handling sphinx-design>=0.5.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-design>=0.5.0
Handling sphinx-design>=0.6.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-design>=0.6.0
Handling sphinxcontrib-sass>=0.3.4 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinxcontrib-sass>=0.3.4
Handling pydata-sphinx-theme>=0.15.3 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: pydata-sphinx-theme>=0.15.3
Handling sphinx-remove-toctrees>=1.0.0.post1 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-remove-toctrees>=1.0.0.post1
Handling towncrier>=24.8.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: towncrier>=24.8.0
Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: matplotlib>=3.3.4
Handling scikit-image>=0.17.2 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: scikit-image>=0.17.2
Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: pandas>=1.1.5
Handling seaborn>=0.9.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: seaborn>=0.9.0
Handling pooch>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: pooch>=1.6.0
Handling plotly>=5.14.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: plotly>=5.14.0
Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: matplotlib>=3.3.4
Handling scikit-image>=0.17.2 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: scikit-image>=0.17.2
Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pandas>=1.1.5
Handling pytest>=7.1.2 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pytest>=7.1.2
Handling pytest-cov>=2.9.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pytest-cov>=2.9.0
Handling ruff>=0.5.1 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: ruff>=0.5.1
Handling black>=24.3.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: black>=24.3.0
Handling mypy>=1.9 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: mypy>=1.9
Handling pyamg>=4.0.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pyamg>=4.0.0
Handling polars>=0.20.30 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: polars>=0.20.30
Handling pyarrow>=12.0.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pyarrow>=12.0.0
Handling numpydoc>=1.2.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: numpydoc>=1.2.0
Handling pooch>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pooch>=1.6.0
Handling conda-lock==2.5.6 from pyproject.toml generated metadata: [optional-dependencies] maintenance (scikit-learn)
Ignoring alien requirement: conda-lock==2.5.6
+ cat /builddir/build/BUILD/python-scikit-learn-1.6.0-build/python-scikit-learn-1.6.0-1.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.0vibHT
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.6.0-build
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CFLAGS
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CXXFLAGS
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FFLAGS
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FCFLAGS
+ VALAFLAGS=-g
+ export VALAFLAGS
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn'
+ export RUSTFLAGS
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ export LDFLAGS
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ export LT_SYS_LIBRARY_PATH
+ CC=gcc
+ export CC
+ CXX=g++
+ export CXX
+ cd scikit_learn-1.6.0
+ mkdir -p /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/.pyproject-builddir
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ VALAFLAGS=-g
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn'
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ CC=gcc
+ CXX=g++
+ TMPDIR=/builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/.pyproject-builddir
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_wheel.py /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/pyproject-wheeldir
Processing /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0
  Preparing metadata (pyproject.toml): started
  Running command Preparing metadata (pyproject.toml)
  + meson setup /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0 /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/.mesonpy-r0haakyz -Dbuildtype=release -Db_ndebug=if-release -Db_vscrt=md --native-file=/builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/.mesonpy-r0haakyz/meson-python-native-file.ini
  The Meson build system
  Version: 1.6.1
  Source dir: /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0
  Build dir: /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/.mesonpy-r0haakyz
  Build type: native build
  Project name: scikit-learn
  Project version: 1.6.0
  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 2.43.50.20241126
  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 2.43.50.20241126
  Cython compiler for the host machine: cython (cython 3.0.11)
  Host machine cpu family: x86_64
  Host machine cpu: x86_64
  Compiler for C supports arguments -Wno-unused-but-set-variable: YES
  Compiler for C supports arguments -Wno-unused-function: YES
  Compiler for C supports arguments -Wno-conversion: YES
  Compiler for C supports arguments -Wno-misleading-indentation: YES
  Library m found: YES
  Program python found: YES (/usr/bin/python3)
  Run-time dependency OpenMP for c found: YES 4.5
  Found pkg-config: YES (/usr/bin/pkg-config) 2.3.0
  Run-time dependency python found: YES 3.13
  Build targets in project: 111

  scikit-learn 1.6.0

    User defined options
      Native files: /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/.mesonpy-r0haakyz/meson-python-native-file.ini
      b_ndebug    : if-release
      b_vscrt     : md
      buildtype   : release

  Found ninja-1.12.1 at /usr/bin/ninja
  + /usr/bin/ninja
  [1/251] Copying file sklearn/__init__.py
  [2/251] Copying file sklearn/_loss/_loss.pxd
  [3/251] Copying file sklearn/utils/_heap.pxd
  [4/251] Copying file sklearn/utils/__init__.py
  [5/251] Copying file sklearn/utils/_openmp_helpers.pxd
  [6/251] Copying file sklearn/utils/_cython_blas.pxd
  [7/251] Copying file sklearn/utils/_typedefs.pxd
  [8/251] Copying file sklearn/utils/_vector_sentinel.pxd
  [9/251] Generating sklearn/utils/_seq_dataset_pxd with a custom command
  [10/251] Generating sklearn/utils/_weight_vector_pxd with a custom command
  [11/251] Copying file sklearn/utils/_random.pxd
  [12/251] Copying file sklearn/utils/_sorting.pxd
  [13/251] Generating sklearn/metrics/_dist_metrics_pxd with a custom command
  [14/251] Generating sklearn/metrics/_pairwise_distances_reduction/_base_pxd with a custom command
  [15/251] Generating sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer_pxd with a custom command
  [16/251] Generating sklearn/metrics/_pairwise_distances_reduction/_datasets_pair_pxd with a custom command
  [17/251] Generating sklearn/metrics/_pairwise_distances_reduction/_argkmin_pxd with a custom command
  [18/251] Copying file sklearn/metrics/__init__.py
  [19/251] Generating sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_pxd with a custom command
  [20/251] Copying file sklearn/metrics/_pairwise_distances_reduction/_classmode.pxd
  [21/251] Copying file sklearn/metrics/_pairwise_distances_reduction/__init__.py
  [22/251] Generating sklearn/_loss/_loss_pyx with a custom command
  [23/251] Generating sklearn/utils/_seq_dataset_pyx with a custom command
  [24/251] Generating sklearn/neighbors/_binary_tree_pxi with a custom command
  [25/251] Generating sklearn/utils/_weight_vector_pyx with a custom command
  [26/251] Copying file sklearn/neighbors/__init__.py
  [27/251] Copying file sklearn/linear_model/__init__.py
  [28/251] Copying file sklearn/neighbors/_partition_nodes.pxd
  [29/251] Generating sklearn/metrics/_pairwise_distances_reduction/_datasets_pair_pyx with a custom command
  [30/251] Generating sklearn/metrics/_dist_metrics_pyx with a custom command
  [31/251] Generating sklearn/metrics/_pairwise_distances_reduction/_argkmin_pyx with a custom command
  [32/251] Generating sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_pyx with a custom command
  [33/251] Generating sklearn/metrics/_pairwise_distances_reduction/_base_pyx with a custom command
  [34/251] Generating sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer_pyx with a custom command
  [35/251] Generating sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode_pyx with a custom command
  [36/251] Generating sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_classmode_pyx with a custom command
  [37/251] Generating sklearn/linear_model/_sgd_fast_pyx with a custom command
  [38/251] Generating sklearn/linear_model/_sag_fast_pyx with a custom command
  [39/251] Generating sklearn/neighbors/_ball_tree_pyx with a custom command
  [40/251] Generating sklearn/neighbors/_kd_tree_pyx with a custom command
  [41/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/__check_build/_check_build.pyx
  [42/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/_isotonic.pyx
  [43/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/utils/arrayfuncs.pyx
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  [45/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/utils/_cython_blas.pyx
  [46/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/utils/_openmp_helpers.pyx
  [47/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/utils/sparsefuncs_fast.pyx
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  [57/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/metrics/_pairwise_fast.pyx
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  [59/251] Compiling Cython source sklearn/metrics/_dist_metrics.pyx
  warning: sklearn/metrics/_dist_metrics.pyx:855:44: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier
  warning: sklearn/metrics/_dist_metrics.pyx:918:40: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier
  warning: sklearn/metrics/_dist_metrics.pyx:3435:44: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier
  warning: sklearn/metrics/_dist_metrics.pyx:3498:40: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier
  [60/251] Compiling Cython source sklearn/metrics/_pairwise_distances_reduction/_base.pyx
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  [63/251] Compiling Cython source sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode.pyx
  [64/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/metrics/cluster/_expected_mutual_info_fast.pyx
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  [67/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/cluster/_dbscan_inner.pyx
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  [69/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/cluster/_k_means_common.pyx
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  [71/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/cluster/_hierarchical_fast.pyx
  [72/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/cluster/_k_means_minibatch.pyx
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  [82/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/ensemble/_hist_gradient_boosting/_binning.pyx
  [83/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/ensemble/_hist_gradient_boosting/histogram.pyx
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  [97/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/preprocessing/_csr_polynomial_expansion.pyx
  [98/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/neighbors/_quad_tree.pyx
  [99/251] Compiling Cython source sklearn/neighbors/_ball_tree.pyx
  warning: sklearn/neighbors/_binary_tree.pxi:1092:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:1958:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:2053:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:2222:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:2345:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:2402:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:2403:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:2728:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:3594:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:3689:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:3858:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:3981:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:4038:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:4039:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_ball_tree.pyx:105:9: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_ball_tree.pyx:107:9: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier
  warning: sklearn/neighbors/_ball_tree.pyx:308:9: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_ball_tree.pyx:310:9: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier
  [100/251] Compiling C++ object sklearn/svm/libliblinear-skl.a.p/src_liblinear_tron.cpp.o
  [101/251] Compiling Cython source sklearn/neighbors/_kd_tree.pyx
  warning: sklearn/neighbors/_binary_tree.pxi:1092:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:1958:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:2053:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:2222:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:2345:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:2402:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:2403:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:2728:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
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  sklearn/metrics/_dist_metrics.cpython-313-x86_64-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c: In function ‘__pyx_pf_7sklearn_7metrics_13_dist_metrics_16DistanceMetric64_22_pairwise_sparse_dense’:
  sklearn/metrics/_dist_metrics.cpython-313-x86_64-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c:29605:29: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  29605 |             __pyx_v_x2_data = ((&(*((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const  *) ( /* dim=1 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const  *) ( /* dim=0 */ (__pyx_v_Y_data.data + __pyx_t_18 * __pyx_v_Y_data.strides[0]) )) + __pyx_t_19)) )))) + (__pyx_v_i2 * __pyx_v_n_features));
        |                             ^
  sklearn/metrics/_dist_metrics.cpython-313-x86_64-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c: In function ‘__pyx_pf_7sklearn_7metrics_13_dist_metrics_16DistanceMetric64_24_pairwise_dense_sparse’:
  sklearn/metrics/_dist_metrics.cpython-313-x86_64-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c:30390:27: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  30390 |           __pyx_v_x1_data = ((&(*((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const  *) ( /* dim=1 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const  *) ( /* dim=0 */ (__pyx_v_X_data.data + __pyx_t_15 * __pyx_v_X_data.strides[0]) )) + __pyx_t_16)) )))) + (__pyx_v_i1 * __pyx_v_n_features));
        |                           ^
  sklearn/metrics/_dist_metrics.cpython-313-x86_64-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c: In function ‘__pyx_pf_7sklearn_7metrics_13_dist_metrics_16DistanceMetric32_22_pairwise_sparse_dense’:
  sklearn/metrics/_dist_metrics.cpython-313-x86_64-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c:49229:29: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  49229 |             __pyx_v_x2_data = ((&(*((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const  *) ( /* dim=1 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const  *) ( /* dim=0 */ (__pyx_v_Y_data.data + __pyx_t_18 * __pyx_v_Y_data.strides[0]) )) + __pyx_t_19)) )))) + (__pyx_v_i2 * __pyx_v_n_features));
        |                             ^
  sklearn/metrics/_dist_metrics.cpython-313-x86_64-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c: In function ‘__pyx_pf_7sklearn_7metrics_13_dist_metrics_16DistanceMetric32_24_pairwise_dense_sparse’:
  sklearn/metrics/_dist_metrics.cpython-313-x86_64-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c:50014:27: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  50014 |           __pyx_v_x1_data = ((&(*((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const  *) ( /* dim=1 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const  *) ( /* dim=0 */ (__pyx_v_X_data.data + __pyx_t_15 * __pyx_v_X_data.strides[0]) )) + __pyx_t_16)) )))) + (__pyx_v_i1 * __pyx_v_n_features));
        |                           ^
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  sklearn/datasets/_svmlight_format_fast.cpython-313-x86_64-linux-gnu.so.p/sklearn/datasets/_svmlight_format_fast.pyx.c:3297:9: warning: ‘Py_UNICODE’ is deprecated [-Wdeprecated-declarations]
   3297 |         Py_UNICODE *as_pyunicodes;
        |         ^~~~~~~~~~
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  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__recursive_build’:
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:32635:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  32635 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_1)) ))));
        |                     ^
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__query_radius_single’:
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:40050:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  40050 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__kde_single_breadthfirst’:
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:40603:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  40603 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__kde_single_depthfirst’:
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:41509:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  41509 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__two_point_single’:
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:42120:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  42120 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__two_point_dual’:
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:42523:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  42523 |   __pyx_v_idx_array1 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_1)) ))));
        |                      ^
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:42533:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  42533 |   __pyx_v_idx_array2 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_other->idx_array.data) + __pyx_t_1)) ))));
        |                      ^
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__recursive_build’:
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:46448:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  46448 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_1)) ))));
        |                     ^
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__query_radius_single’:
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:53872:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  53872 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__kde_single_breadthfirst’:
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:54425:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  54425 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__kde_single_depthfirst’:
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:55331:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  55331 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__two_point_single’:
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:55942:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  55942 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__two_point_dual’:
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:56345:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  56345 |   __pyx_v_idx_array1 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_1)) ))));
        |                      ^
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:56355:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  56355 |   __pyx_v_idx_array2 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_other->idx_array.data) + __pyx_t_1)) ))));
        |                      ^
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_init_node64’:
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:58229:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  58229 |   __pyx_v_lower_bounds = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const  *) ( /* dim=2 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const  *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_tree->node_bounds.data + __pyx_t_1 * __pyx_v_tree->node_bounds.strides[0]) ) + __pyx_t_2 * __pyx_v_tree->node_bounds.strides[1]) )) + __pyx_t_3)) ))));
        |                        ^
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:58241:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  58241 |   __pyx_v_upper_bounds = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const  *) ( /* dim=2 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const  *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_tree->node_bounds.data + __pyx_t_3 * __pyx_v_tree->node_bounds.strides[0]) ) + __pyx_t_2 * __pyx_v_tree->node_bounds.strides[1]) )) + __pyx_t_1)) ))));
        |                        ^
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_init_node32’:
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:60038:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  60038 |   __pyx_v_lower_bounds = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const  *) ( /* dim=2 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const  *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_tree->node_bounds.data + __pyx_t_1 * __pyx_v_tree->node_bounds.strides[0]) ) + __pyx_t_2 * __pyx_v_tree->node_bounds.strides[1]) )) + __pyx_t_3)) ))));
        |                        ^
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:60050:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  60050 |   __pyx_v_upper_bounds = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const  *) ( /* dim=2 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const  *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_tree->node_bounds.data + __pyx_t_3 * __pyx_v_tree->node_bounds.strides[0]) ) + __pyx_t_2 * __pyx_v_tree->node_bounds.strides[1]) )) + __pyx_t_1)) ))));
        |                        ^
  In function ‘__pyx_fuse_0__pyx_f_7sklearn_9neighbors_8_kd_tree__total_node_weight’,
      inlined from ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__kde_single_depthfirst’ at sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:55654:19:
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:57981:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized]
  57981 |     __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])]));
        |                                                    ^
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__kde_single_depthfirst’:
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:55231:55: note: ‘__pyx_v_sample_weight’ was declared here
  55231 |   __pyx_t_7sklearn_5utils_9_typedefs_float32_t const *__pyx_v_sample_weight;
        |                                                       ^~~~~~~~~~~~~~~~~~~~~
  In function ‘__pyx_fuse_1__pyx_f_7sklearn_9neighbors_8_kd_tree__total_node_weight’,
      inlined from ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__kde_single_depthfirst’ at sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:41832:19:
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:58040:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized]
  58040 |     __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])]));
        |                                                    ^
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__kde_single_depthfirst’:
  sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:41409:55: note: ‘__pyx_v_sample_weight’ was declared here
  41409 |   __pyx_t_7sklearn_5utils_9_typedefs_float64_t const *__pyx_v_sample_weight;
        |                                                       ^~~~~~~~~~~~~~~~~~~~~
  [177/251] Compiling C object sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_neighbors__ball_tree.pyx.c.o
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__recursive_build’:
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:32767:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  32767 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_1)) ))));
        |                     ^
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__query_radius_single’:
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:40182:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  40182 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__kde_single_breadthfirst’:
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:40735:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  40735 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__kde_single_depthfirst’:
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:41641:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  41641 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__two_point_single’:
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:42252:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  42252 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__two_point_dual’:
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:42655:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  42655 |   __pyx_v_idx_array1 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_1)) ))));
        |                      ^
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:42665:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  42665 |   __pyx_v_idx_array2 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_other->idx_array.data) + __pyx_t_1)) ))));
        |                      ^
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__recursive_build’:
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:46580:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  46580 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_1)) ))));
        |                     ^
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__query_radius_single’:
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:54004:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  54004 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__kde_single_breadthfirst’:
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:54557:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  54557 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__kde_single_depthfirst’:
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:55463:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  55463 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__two_point_single’:
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:56074:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  56074 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_2)) ))));
        |                     ^
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__two_point_dual’:
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:56477:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  56477 |   __pyx_v_idx_array1 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_self->idx_array.data) + __pyx_t_1)) ))));
        |                      ^
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:56487:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  56487 |   __pyx_v_idx_array2 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_other->idx_array.data) + __pyx_t_1)) ))));
        |                      ^
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_init_node64’:
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:58364:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  58364 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_tree->idx_array.data) + __pyx_t_1)) ))));
        |                     ^
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:58387:20: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  58387 |   __pyx_v_centroid = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const  *) ( /* dim=2 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const  *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_tree->node_bounds.data + __pyx_t_2 * __pyx_v_tree->node_bounds.strides[0]) ) + __pyx_t_3 * __pyx_v_tree->node_bounds.strides[1]) )) + __pyx_t_1)) ))));
        |                    ^
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_init_node32’:
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:59739:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  59739 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_tree->idx_array.data) + __pyx_t_1)) ))));
        |                     ^
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:59762:20: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  59762 |   __pyx_v_centroid = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const  *) ( /* dim=2 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const  *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_tree->node_bounds.data + __pyx_t_2 * __pyx_v_tree->node_bounds.strides[0]) ) + __pyx_t_3 * __pyx_v_tree->node_bounds.strides[1]) )) + __pyx_t_1)) ))));
        |                    ^
  In function ‘__pyx_fuse_0__pyx_f_7sklearn_9neighbors_10_ball_tree__total_node_weight’,
      inlined from ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__kde_single_depthfirst’ at sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:55786:19:
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:58113:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized]
  58113 |     __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])]));
        |                                                    ^
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__kde_single_depthfirst’:
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:55363:55: note: ‘__pyx_v_sample_weight’ was declared here
  55363 |   __pyx_t_7sklearn_5utils_9_typedefs_float32_t const *__pyx_v_sample_weight;
        |                                                       ^~~~~~~~~~~~~~~~~~~~~
  In function ‘__pyx_fuse_1__pyx_f_7sklearn_9neighbors_10_ball_tree__total_node_weight’,
      inlined from ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__kde_single_depthfirst’ at sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:41964:19:
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:58172:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized]
  58172 |     __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])]));
        |                                                    ^
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__kde_single_depthfirst’:
  sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:41541:55: note: ‘__pyx_v_sample_weight’ was declared here
  41541 |   __pyx_t_7sklearn_5utils_9_typedefs_float64_t const *__pyx_v_sample_weight;
        |                                                       ^~~~~~~~~~~~~~~~~~~~~
  [178/251] Generating sklearn/write_built_with_meson_file with a custom command
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  [181/251] Compiling C object sklearn/tree/_splitter.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_tree__splitter.pyx.c.o
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  [184/251] Compiling C object sklearn/tree/_criterion.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_tree__criterion.pyx.c.o
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  [198/251] Linking target sklearn/utils/_weight_vector.cpython-313-x86_64-linux-gnu.so
  [199/251] 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:44004:44:
  /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:43134:45: note: ‘__pyx_v_pruned_branch_node_idx’ was declared here
  43134 |   __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_pruned_branch_node_idx;
        |                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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  Preparing metadata (pyproject.toml): finished with status 'done'
Building wheels for collected packages: scikit-learn
  Building wheel for scikit-learn (pyproject.toml): started
  Running command Building wheel for scikit-learn (pyproject.toml)
  Building wheel for scikit-learn (pyproject.toml): finished with status 'done'
  Created wheel for scikit-learn: filename=scikit_learn-1.6.0-cp313-cp313-linux_x86_64.whl size=49765633 sha256=65fb53f0f6d8ad9d35f1d9984893731c1506a3054ecddda47f0fe15963dfce9c
  Stored in directory: /builddir/.cache/pip/wheels/44/51/a6/e9c077654a1a2fc1bf8a945e2a32b44b20ab40a973f1dea972
Successfully built scikit-learn
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.BzD9DS
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.6.0-build
+ '[' /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT '!=' / ']'
+ rm -rf /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT
++ dirname /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT
+ mkdir -p /builddir/build/BUILD/python-scikit-learn-1.6.0-build
+ mkdir /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CFLAGS
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CXXFLAGS
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FFLAGS
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FCFLAGS
+ VALAFLAGS=-g
+ export VALAFLAGS
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn'
+ export RUSTFLAGS
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ export LDFLAGS
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ export LT_SYS_LIBRARY_PATH
+ CC=gcc
+ export CC
+ CXX=g++
+ export CXX
+ cd scikit_learn-1.6.0
++ xargs basename --multiple
++ ls /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/pyproject-wheeldir/scikit_learn-1.6.0-cp313-cp313-linux_x86_64.whl
++ sed -E 's/([^-]+)-([^-]+)-.+\.whl/\1==\2/'
+ specifier=scikit_learn==1.6.0
+ '[' -z scikit_learn==1.6.0 ']'
+ TMPDIR=/builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/.pyproject-builddir
+ /usr/bin/python3 -m pip install --root /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT --prefix /usr --no-deps --disable-pip-version-check --progress-bar off --verbose --ignore-installed --no-warn-script-location --no-index --no-cache-dir --find-links /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/pyproject-wheeldir scikit_learn==1.6.0
Using pip 24.3.1 from /usr/lib/python3.13/site-packages/pip (python 3.13)
Looking in links: /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/pyproject-wheeldir
Processing ./pyproject-wheeldir/scikit_learn-1.6.0-cp313-cp313-linux_x86_64.whl
Installing collected packages: scikit_learn
Successfully installed scikit_learn-1.6.0
+ '[' -d /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/bin ']'
+ rm -f /builddir/build/BUILD/python-scikit-learn-1.6.0-build/python-scikit-learn-1.6.0-1.fc42.x86_64-pyproject-ghost-distinfo
+ site_dirs=()
+ '[' -d /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib/python3.13/site-packages ']'
+ '[' /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages '!=' /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib/python3.13/site-packages ']'
+ '[' -d /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages ']'
+ site_dirs+=("/usr/lib64/python3.13/site-packages")
+ for site_dir in ${site_dirs[@]}
+ for distinfo in /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT$site_dir/*.dist-info
+ echo '%ghost /usr/lib64/python3.13/site-packages/scikit_learn-1.6.0.dist-info'
+ sed -i s/pip/rpm/ /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/scikit_learn-1.6.0.dist-info/INSTALLER
+ PYTHONPATH=/usr/lib/rpm/redhat
+ /usr/bin/python3 -B /usr/lib/rpm/redhat/pyproject_preprocess_record.py --buildroot /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT --record /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/scikit_learn-1.6.0.dist-info/RECORD --output /builddir/build/BUILD/python-scikit-learn-1.6.0-build/python-scikit-learn-1.6.0-1.fc42.x86_64-pyproject-record
+ rm -fv /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/scikit_learn-1.6.0.dist-info/RECORD
removed '/builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/scikit_learn-1.6.0.dist-info/RECORD'
+ rm -fv /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/scikit_learn-1.6.0.dist-info/REQUESTED
removed '/builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/scikit_learn-1.6.0.dist-info/REQUESTED'
++ wc -l /builddir/build/BUILD/python-scikit-learn-1.6.0-build/python-scikit-learn-1.6.0-1.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-1.6.0-build/python-scikit-learn-1.6.0-1.fc42.x86_64-pyproject-files --output-modules /builddir/build/BUILD/python-scikit-learn-1.6.0-build/python-scikit-learn-1.6.0-1.fc42.x86_64-pyproject-modules --buildroot /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT --sitelib /usr/lib/python3.13/site-packages --sitearch /usr/lib64/python3.13/site-packages --python-version 3.13 --pyproject-record /builddir/build/BUILD/python-scikit-learn-1.6.0-build/python-scikit-learn-1.6.0-1.fc42.x86_64-pyproject-record --prefix /usr sklearn
+ /usr/bin/find-debuginfo -j4 --strict-build-id -m -i --build-id-seed 1.6.0-1.fc42 --unique-debug-suffix -1.6.0-1.fc42.x86_64 --unique-debug-src-base python-scikit-learn-1.6.0-1.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-1.6.0-build/scikit_learn-1.6.0
find-debuginfo: starting
Extracting debug info from 68 files
DWARF-compressing 68 files
sepdebugcrcfix: Updated 68 CRC32s, 0 CRC32s did match.
Creating .debug symlinks for symlinks to ELF files
Copying sources found by 'debugedit -l' to /usr/src/debug/python-scikit-learn-1.6.0-1.fc42.x86_64
cpio: .mesonpy-r0haakyz/: Cannot stat: No such file or directory
cpio: .mesonpy-r0haakyz/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-r0haakyz/sklearn/_isotonic.cpython-313-x86_64-linux-gnu.so.p/sklearn/_isotonic.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-r0haakyz/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-r0haakyz/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-r0haakyz/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-r0haakyz/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-r0haakyz/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-r0haakyz/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-r0haakyz/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-r0haakyz/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-r0haakyz/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-r0haakyz/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-r0haakyz/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-r0haakyz/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-r0haakyz/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-r0haakyz/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-r0haakyz/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
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cpio: .mesonpy-r0haakyz/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
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find-debuginfo: done
+ /usr/lib/rpm/check-buildroot
+ /usr/lib/rpm/redhat/brp-ldconfig
+ /usr/lib/rpm/brp-compress
+ /usr/lib/rpm/redhat/brp-strip-lto /usr/bin/strip
+ /usr/lib/rpm/brp-strip-static-archive /usr/bin/strip
+ /usr/lib/rpm/check-rpaths
+ /usr/lib/rpm/redhat/brp-mangle-shebangs
*** WARNING: ./usr/lib64/python3.13/site-packages/sklearn/cluster/_optics.py is executable but has no shebang, removing executable bit
*** WARNING: ./usr/lib64/python3.13/site-packages/sklearn/ensemble/tests/test_weight_boosting.py is executable but has no shebang, removing executable bit
+ /usr/lib/rpm/brp-remove-la-files
+ env /usr/lib/rpm/redhat/brp-python-bytecompile '' 1 0 -j4
Bytecompiling .py files below /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13 using python3.13
Bytecompiling .py files below /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib/debug/usr/lib64/python3.13 using python3.13
+ /usr/lib/rpm/redhat/brp-python-hardlink
+ /usr/bin/add-determinism --brp -j4 /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT
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/builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/tests/__pycache__/test_kernel_ridge.cpython-313.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/tests/__pycache__/test_kernel_approximation.cpython-313.pyc: replacing with normalized version
/builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/tests/__pycache__/test_dummy.cpython-313.pyc: replacing with normalized version
/builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/tests/__pycache__/test_isotonic.cpython-313.pyc: replacing with normalized version
/builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/tests/__pycache__/test_min_dependencies_readme.cpython-313.pyc: replacing with normalized version
/builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/tests/__pycache__/test_metaestimators.cpython-313.pyc: replacing with normalized version
/builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/tests/__pycache__/test_metaestimators_metadata_routing.cpython-313.pyc: replacing with normalized version
/builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/tests/__pycache__/test_multiclass.cpython-313.pyc: replacing with normalized version
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/builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/tests/__pycache__/test_naive_bayes.cpython-313.pyc: replacing with normalized version
/builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/tests/__pycache__/test_public_functions.cpython-313.pyc: replacing with normalized version
/builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/tests/__pycache__/test_metadata_routing.cpython-313.pyc: replacing with normalized version
/builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/tests/__pycache__/test_random_projection.cpython-313.pyc: replacing with normalized version
/builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/tests/__pycache__/test_build.cpython-313.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/tests/__pycache__/metadata_routing_common.cpython-313.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/tests/__pycache__/test_init.cpython-313.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/tests/__pycache__/test_common.cpython-313.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/tests/__pycache__/test_base.cpython-313.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/tests/__pycache__/test_calibration.cpython-313.opt-1.pyc: replacing with normalized version
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/builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/__pycache__/naive_bayes.cpython-313.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/__pycache__/pipeline.cpython-313.pyc: rewriting with normalized contents
Scanned 243 directories and 2117 files,
               processed 817 inodes,
               817 modified (494 replaced + 323 rewritten),
               0 unsupported format, 0 errors
Reading /builddir/build/BUILD/python-scikit-learn-1.6.0-build/SPECPARTS/rpm-debuginfo.specpart
Executing(%check): /bin/sh -e /var/tmp/rpm-tmp.4jARMq
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.6.0-build
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CFLAGS
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CXXFLAGS
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FFLAGS
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FCFLAGS
+ VALAFLAGS=-g
+ export VALAFLAGS
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn'
+ export RUSTFLAGS
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ export LDFLAGS
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ export LT_SYS_LIBRARY_PATH
+ CC=gcc
+ export CC
+ CXX=g++
+ export CXX
+ cd scikit_learn-1.6.0
+ export PYTHONDONTWRITEBYTECODE=1
+ PYTHONDONTWRITEBYTECODE=1
~/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages ~/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0
+ export 'PYTEST_ADDOPTS=-p no:cacheprovider'
+ PYTEST_ADDOPTS='-p no:cacheprovider'
+ pushd /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages
+ pytest --deselect 'sklearn/datasets/tests/test_openml.py::test_fetch_openml_verify_checksum[True-liac-arff]' --deselect 'sklearn/datasets/tests/test_openml.py::test_fetch_openml_verify_checksum[False-liac-arff]' --deselect 'sklearn/datasets/tests/test_openml.py::test_fetch_openml_verify_checksum[True-pandas]' --deselect 'sklearn/datasets/tests/test_openml.py::test_fetch_openml_verify_checksum[False-pandas]' --deselect sklearn/covariance/tests/test_covariance.py --deselect sklearn/covariance/tests/test_robust_covariance.py --deselect sklearn/linear_model/tests/test_bayes.py::test_toy_ard_object --deselect 'sklearn/linear_model/tests/test_bayes.py::test_ard_accuracy_on_easy_problem[42-10-100]' --deselect 'sklearn/linear_model/tests/test_bayes.py::test_ard_accuracy_on_easy_problem[42-100-10]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_estimators_dtypes]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_regressors_no_decision_function]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_methods_sample_order_invariance]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_methods_subset_invariance]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_dont_overwrite_parameters]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_fit2d_predict1d]' --deselect 'sklearn/tests/test_common.py::test_estimators[EllipticEnvelope()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[EmpiricalCovariance()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[FastICA()-check_methods_sample_order_invariance]' --deselect 'sklearn/tests/test_common.py::test_estimators[FastICA()-check_methods_subset_invariance]' --deselect 'sklearn/tests/test_common.py::test_estimators[FastICA()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[FastICA()-check_dict_unchanged]' --deselect 'sklearn/tests/test_common.py::test_estimators[FastICA()-check_dont_overwrite_parameters]' --deselect 'sklearn/tests/test_common.py::test_estimators[FastICA()-check_fit2d_predict1d]' --deselect 'sklearn/tests/test_common.py::test_estimators[KernelPCA()-check_fit2d_1sample]' --deselect 'sklearn/tests/test_common.py::test_estimators[LedoitWolf()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[MinCovDet()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[OAS()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[RidgeCV()-check_fit2d_1sample]' --deselect 'sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV()-check_fit2d_1sample]' --deselect 'sklearn/tests/test_common.py::test_estimators[ShrunkCovariance()-check_fit2d_1feature]' --deselect 'sklearn/utils/tests/test_validation.py::test_check_is_fitted_with_attributes[list]' --deselect sklearn/utils/tests/test_validation.py::test_check_is_fitted sklearn
============================= test session starts ==============================
platform linux -- Python 3.13.1, pytest-8.3.4, pluggy-1.5.0
rootdir: /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages
collected 37604 items / 41 deselected / 1 skipped / 37563 selected

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sklearn/cluster/tests/test_bicluster.py .....................            [  5%]
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sklearn/cluster/tests/test_bisect_k_means.py ............sss.........    [  5%]
sklearn/cluster/tests/test_dbscan.py ..............................      [  5%]
sklearn/cluster/tests/test_feature_agglomeration.py ...                  [  5%]
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=============================== warnings summary ===============================
sklearn/utils/_test_common/instance_generator.py:686
sklearn/utils/_test_common/instance_generator.py:686
sklearn/utils/_test_common/instance_generator.py:686
sklearn/utils/_test_common/instance_generator.py:686
sklearn/utils/_test_common/instance_generator.py:686
sklearn/utils/_test_common/instance_generator.py:686
sklearn/utils/_test_common/instance_generator.py:686
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/_test_common/instance_generator.py:686: SkipTestWarning: Can't instantiate estimator FrozenEstimator
    warnings.warn(msg, SkipTestWarning)

sklearn/utils/_test_common/instance_generator.py:686
sklearn/utils/_test_common/instance_generator.py:686
sklearn/utils/_test_common/instance_generator.py:686
sklearn/utils/_test_common/instance_generator.py:686
sklearn/utils/_test_common/instance_generator.py:686
sklearn/utils/_test_common/instance_generator.py:686
sklearn/utils/_test_common/instance_generator.py:686
sklearn/utils/_test_common/instance_generator.py:686
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/_test_common/instance_generator.py:686: SkipTestWarning: Can't instantiate estimator SparseCoder
    warnings.warn(msg, SkipTestWarning)

sklearn/utils/estimator_checks.py:369
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:369: SkipTestWarning: Explicit SKIP via _skip_test tag for estimator ClassifierChain.
    warnings.warn(

sklearn/utils/estimator_checks.py:361
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:361: SkipTestWarning: Can't test estimator CountVectorizer which requires input  of type InputTags(one_d_array=False, two_d_array=False, three_d_array=False, sparse=False, categorical=False, string=True, dict=False, positive_only=False, allow_nan=False, pairwise=False)
    warnings.warn(

sklearn/utils/estimator_checks.py:361
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:361: SkipTestWarning: Can't test estimator DictVectorizer which requires input  of type InputTags(one_d_array=False, two_d_array=False, three_d_array=False, sparse=False, categorical=False, string=False, dict=True, positive_only=False, allow_nan=False, pairwise=False)
    warnings.warn(

sklearn/utils/estimator_checks.py:361
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:361: SkipTestWarning: Can't test estimator FeatureHasher which requires input  of type InputTags(one_d_array=False, two_d_array=False, three_d_array=False, sparse=False, categorical=False, string=False, dict=True, positive_only=False, allow_nan=False, pairwise=False)
    warnings.warn(

sklearn/utils/estimator_checks.py:361
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:361: SkipTestWarning: Can't test estimator HashingVectorizer which requires input  of type InputTags(one_d_array=False, two_d_array=False, three_d_array=False, sparse=False, categorical=False, string=True, dict=False, positive_only=False, allow_nan=False, pairwise=False)
    warnings.warn(

sklearn/utils/estimator_checks.py:361
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:361: SkipTestWarning: Can't test estimator IsotonicRegression which requires input  of type InputTags(one_d_array=True, two_d_array=False, three_d_array=False, sparse=False, categorical=False, string=False, dict=False, positive_only=False, allow_nan=False, pairwise=False)
    warnings.warn(

sklearn/utils/estimator_checks.py:361
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:361: SkipTestWarning: Can't test estimator LabelBinarizer which requires input  of type InputTags(one_d_array=False, two_d_array=False, three_d_array=False, sparse=False, categorical=False, string=False, dict=False, positive_only=False, allow_nan=False, pairwise=False)
    warnings.warn(

sklearn/utils/estimator_checks.py:361
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:361: SkipTestWarning: Can't test estimator LabelEncoder which requires input  of type InputTags(one_d_array=False, two_d_array=False, three_d_array=False, sparse=False, categorical=False, string=False, dict=False, positive_only=False, allow_nan=False, pairwise=False)
    warnings.warn(

sklearn/utils/estimator_checks.py:361
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:361: SkipTestWarning: Can't test estimator MultiLabelBinarizer which requires input  of type InputTags(one_d_array=False, two_d_array=False, three_d_array=False, sparse=False, categorical=False, string=False, dict=False, positive_only=False, allow_nan=False, pairwise=False)
    warnings.warn(

sklearn/utils/estimator_checks.py:369
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:369: SkipTestWarning: Explicit SKIP via _skip_test tag for estimator MultiOutputClassifier.
    warnings.warn(

sklearn/utils/estimator_checks.py:361
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:361: SkipTestWarning: Can't test estimator PatchExtractor which requires input  of type InputTags(one_d_array=False, two_d_array=False, three_d_array=True, sparse=False, categorical=False, string=False, dict=False, positive_only=False, allow_nan=False, pairwise=False)
    warnings.warn(

sklearn/utils/estimator_checks.py:361
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:361: SkipTestWarning: Can't test estimator TfidfVectorizer which requires input  of type InputTags(one_d_array=False, two_d_array=False, three_d_array=False, sparse=False, categorical=False, string=True, dict=False, positive_only=False, allow_nan=False, pairwise=False)
    warnings.warn(

../../../../../scikit_learn-1.6.0/sklearn/utils/_typedefs.pyx:21
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/utils/_typedefs.pyx:21: PytestCollectionWarning: cannot collect 'testing_make_array_from_typed_val' because it is not a function.
    def testing_make_array_from_typed_val(testing_type_t val):

sklearn/cluster/tests/test_affinity_propagation.py::test_affinity_propagation_equal_points
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/_affinity_propagation.py:50: UserWarning: All samples have mutually equal similarities. Returning arbitrary cluster center(s).
    warnings.warn(

sklearn/cluster/tests/test_birch.py::test_birch_predict[float64-42]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/_birch.py:727: ConvergenceWarning: Number of subclusters found (3) by BIRCH is less than (4). Decrease the threshold.
    warnings.warn(

sklearn/cluster/tests/test_dbscan.py: 10 warnings
sklearn/cluster/tests/test_optics.py: 2 warnings
sklearn/manifold/tests/test_isomap.py: 1 warning
sklearn/neighbors/tests/test_neighbors.py: 122 warnings
sklearn/utils/tests/test_estimator_checks.py: 20 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_base.py:248: EfficiencyWarning: Precomputed sparse input was not sorted by row values. Use the function sklearn.neighbors.sort_graph_by_row_values to sort the input by row values, with warn_when_not_sorted=False to remove this warning.
    warnings.warn(

sklearn/cluster/tests/test_hdbscan.py::test_hdbscan_usable_inputs[kwargs0-X0]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/_hdbscan/hdbscan.py:273: UserWarning: The minimum spanning tree contains edge weights with value infinity. Potentially, you are missing too many distances in the initial distance matrix for the given neighborhood size.
    warn(

sklearn/cluster/tests/test_hierarchical.py::test_affinity_passed_to_fix_connectivity
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/_agglomerative.py:596: UserWarning: the number of connected components of the connectivity matrix is 2 > 1. Completing it to avoid stopping the tree early.
    connectivity, n_connected_components = _fix_connectivity(

sklearn/cluster/tests/test_mean_shift.py: 3 warnings
sklearn/compose/tests/test_column_transformer.py: 2 warnings
sklearn/decomposition/tests/test_dict_learning.py: 10 warnings
sklearn/decomposition/tests/test_online_lda.py: 2 warnings
sklearn/ensemble/tests/test_bagging.py: 8 warnings
sklearn/ensemble/tests/test_forest.py: 2 warnings
sklearn/manifold/tests/test_mds.py: 3 warnings
sklearn/metrics/tests/test_classification.py: 2 warnings
sklearn/metrics/tests/test_pairwise.py: 2 warnings
sklearn/model_selection/tests/test_search.py: 6 warnings
sklearn/neighbors/tests/test_kd_tree.py: 2 warnings
sklearn/neighbors/tests/test_neighbors.py: 2 warnings
sklearn/tests/test_multioutput.py: 4 warnings
sklearn/tests/test_pipeline.py: 2 warnings
  /usr/lib/python3.13/site-packages/joblib/externals/loky/backend/fork_exec.py:38: DeprecationWarning: This process (pid=12640) is multi-threaded, use of fork() may lead to deadlocks in the child.
    pid = os.fork()

sklearn/cluster/tests/test_spectral.py::test_precomputed_nearest_neighbors_filtering
sklearn/cluster/tests/test_spectral.py::test_precomputed_nearest_neighbors_filtering
sklearn/manifold/tests/test_spectral_embedding.py::test_precomputed_nearest_neighbors_filtering
sklearn/manifold/tests/test_spectral_embedding.py::test_precomputed_nearest_neighbors_filtering
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/manifold/_spectral_embedding.py:329: UserWarning: Graph is not fully connected, spectral embedding may not work as expected.
    warnings.warn(

sklearn/cluster/tests/test_spectral.py::test_spectral_clustering_np_matrix_raises
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/tests/test_spectral.py:298: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
    X = np.matrix([[0.0, 2.0], [2.0, 0.0]])

sklearn/covariance/tests/test_graphical_lasso.py::test_graphical_lasso_n_iter[cd]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/covariance/_graph_lasso.py:140: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008809462491802256, tolerance: 8.876533008162484e-05
    coefs, _, _, _ = cd_fast.enet_coordinate_descent_gram(

sklearn/covariance/tests/test_graphical_lasso.py::test_graphical_lasso_n_iter[cd]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/covariance/_graph_lasso.py:140: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0010103266374812403, tolerance: 8.96862030376985e-05
    coefs, _, _, _ = cd_fast.enet_coordinate_descent_gram(

sklearn/covariance/tests/test_graphical_lasso.py::test_graphical_lasso_n_iter[cd]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/covariance/_graph_lasso.py:140: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.002290488556457526, tolerance: 0.00011435637954661176
    coefs, _, _, _ = cd_fast.enet_coordinate_descent_gram(

sklearn/covariance/tests/test_graphical_lasso.py::test_graphical_lasso_n_iter[cd]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/covariance/_graph_lasso.py:192: ConvergenceWarning: graphical_lasso: did not converge after 2 iteration: dual gap: 8.601e-03
    warnings.warn(

sklearn/covariance/tests/test_graphical_lasso.py: 20 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/covariance/_empirical_covariance.py:102: UserWarning: Only one sample available. You may want to reshape your data array
    warnings.warn(

sklearn/covariance/tests/test_graphical_lasso.py::test_graphical_lasso_cv
  /usr/lib64/python3.13/site-packages/numpy/_core/_methods.py:191: RuntimeWarning: invalid value encountered in subtract
    x = asanyarray(arr - arrmean)

sklearn/datasets/tests/test_base.py::test_load_sample_images
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/datasets/tests/test_base.py:241: UserWarning: Could not load sample images, PIL is not available.
    warnings.warn("Could not load sample images, PIL is not available.")

sklearn/datasets/tests/test_base.py::test_load_sample_image
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/datasets/tests/test_base.py:250: UserWarning: Could not load sample images, PIL is not available.
    warnings.warn("Could not load sample images, PIL is not available.")

sklearn/datasets/tests/test_openml.py::test_dataset_with_openml_error[True]
sklearn/datasets/tests/test_openml.py::test_dataset_with_openml_error[False]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/datasets/_openml.py:1030: UserWarning: Version 2 of dataset anneal is inactive, meaning that issues have been found in the dataset. Try using a newer version from this URL: https://www.openml.org/data/v1/download/1/anneal.arff
    warn(

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

sklearn/datasets/tests/test_svmlight_format.py: 12 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/datasets/tests/test_svmlight_format.py:287: RuntimeWarning: invalid value encountered in cast
    X_input = X.astype(dtype)

sklearn/decomposition/tests/test_kernel_pca.py: 28 warnings
sklearn/linear_model/tests/test_passive_aggressive.py: 2 warnings
sklearn/tests/test_multioutput.py: 39 warnings
sklearn/utils/tests/test_estimator_checks.py: 1 warning
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_stochastic_gradient.py:738: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
    warnings.warn(

sklearn/decomposition/tests/test_nmf.py: 30 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:1741: ConvergenceWarning: Maximum number of iterations 200 reached. Increase it to improve convergence.
    warnings.warn(

sklearn/decomposition/tests/test_nmf.py: 14 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:2327: ConvergenceWarning: Maximum number of iterations 200 reached. Increase it to improve convergence.
    warnings.warn(

sklearn/decomposition/tests/test_nmf.py::test_nmf_fit_close[NMF-solver1]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:1741: ConvergenceWarning: Maximum number of iterations 600 reached. Increase it to improve convergence.
    warnings.warn(

sklearn/decomposition/tests/test_nmf.py: 24 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:1594: UserWarning: The multiplicative update ('mu') solver cannot update zeros present in the initialization, and so leads to poorer results when used jointly with init='nndsvd'. You may try init='nndsvda' or init='nndsvdar' instead.
    warnings.warn(

sklearn/decomposition/tests/test_nmf.py::test_non_negative_factorization_consistency[0.0-1.0-cd-random]
sklearn/decomposition/tests/test_nmf.py::test_non_negative_factorization_consistency[0.0-1.0-cd-random]
sklearn/decomposition/tests/test_nmf.py::test_non_negative_factorization_consistency[0.0-1.0-cd-nndsvd]
sklearn/decomposition/tests/test_nmf.py::test_non_negative_factorization_consistency[0.0-1.0-cd-nndsvd]
sklearn/decomposition/tests/test_nmf.py::test_non_negative_factorization_consistency[1.0-0.0-cd-random]
sklearn/decomposition/tests/test_nmf.py::test_non_negative_factorization_consistency[1.0-0.0-cd-random]
sklearn/decomposition/tests/test_nmf.py::test_non_negative_factorization_consistency[1.0-0.0-cd-nndsvd]
sklearn/decomposition/tests/test_nmf.py::test_non_negative_factorization_consistency[1.0-0.0-cd-nndsvd]
sklearn/tests/test_common.py::test_transformers_get_feature_names_out[NMF(max_iter=500)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:1741: ConvergenceWarning: Maximum number of iterations 500 reached. Increase it to improve convergence.
    warnings.warn(

sklearn/decomposition/tests/test_nmf.py::test_nmf_negative_beta_loss[csr_matrix]
sklearn/decomposition/tests/test_nmf.py::test_nmf_negative_beta_loss[csr_array]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:179: RuntimeWarning: divide by zero encountered in power
    sum_WH_beta = np.sum(WH**beta)

sklearn/decomposition/tests/test_online_lda.py::test_lda_empty_docs[csr_matrix]
sklearn/decomposition/tests/test_online_lda.py::test_lda_empty_docs[csr_array]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_lda.py:923: RuntimeWarning: invalid value encountered in scalar divide
    perword_bound = bound / word_cnt

sklearn/ensemble/tests/test_bagging.py: 32 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/ensemble/_bagging.py:1011: RuntimeWarning: divide by zero encountered in log
    log_proba = np.log(self.predict_proba(X))

sklearn/ensemble/tests/test_bagging.py::test_oob_score_classification
sklearn/ensemble/tests/test_bagging.py::test_oob_score_classification
sklearn/ensemble/tests/test_bagging.py::test_oob_score_removed_on_warm_start
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/ensemble/_bagging.py:870: RuntimeWarning: invalid value encountered in divide
    oob_decision_function = predictions / predictions.sum(axis=1)[:, np.newaxis]

sklearn/ensemble/tests/test_bagging.py::test_oob_score_removed_on_warm_start
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/ensemble/_bagging.py:864: UserWarning: Some inputs do not have OOB scores. This probably means too few estimators were used to compute any reliable oob estimates.
    warn(

sklearn/ensemble/tests/test_bagging.py::test_bagging_regressor_with_missing_inputs
sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None]
sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None]
sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_matrix]
sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_array]
  /usr/lib64/python3.13/site-packages/numpy/_core/fromnumeric.py:86: RuntimeWarning: invalid value encountered in reduce
    return ufunc.reduce(obj, axis, dtype, out, **passkwargs)

sklearn/ensemble/tests/test_bagging.py: 9 warnings
sklearn/tree/tests/test_tree.py: 73 warnings
sklearn/utils/tests/test_response.py: 1 warning
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/tree/_classes.py:1084: RuntimeWarning: divide by zero encountered in log
    return np.log(proba)

sklearn/ensemble/tests/test_common.py: 6 warnings
sklearn/linear_model/tests/test_common.py: 2 warnings
sklearn/tests/test_multioutput.py: 1 warning
sklearn/tests/test_pipeline.py: 1 warning
sklearn/utils/tests/test_estimator_checks.py: 2 warnings
sklearn/utils/tests/test_estimator_html_repr.py: 1 warning
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_logistic.py:465: ConvergenceWarning: lbfgs failed to converge (status=1):
  STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.
  
  Increase the number of iterations (max_iter) or scale the data as shown in:
      https://scikit-learn.org/stable/modules/preprocessing.html
  Please also refer to the documentation for alternative solver options:
      https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression
    n_iter_i = _check_optimize_result(

sklearn/ensemble/tests/test_forest.py::test_class_weight_errors[ExtraTreesClassifier]
sklearn/ensemble/tests/test_forest.py::test_class_weight_errors[ExtraTreesClassifier]
sklearn/ensemble/tests/test_forest.py::test_class_weight_errors[RandomForestClassifier]
sklearn/ensemble/tests/test_forest.py::test_class_weight_errors[RandomForestClassifier]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/ensemble/_forest.py:861: UserWarning: class_weight presets "balanced" or "balanced_subsample" are not recommended for warm_start if the fitted data differs from the full dataset. In order to use "balanced" weights, use compute_class_weight ("balanced", classes, y). In place of y you can use a large enough sample of the full training set target to properly estimate the class frequency distributions. Pass the resulting weights as the class_weight parameter.
    warn(

sklearn/ensemble/tests/test_forest.py::test_oob_not_computed_twice[RandomForestClassifier]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/ensemble/_forest.py:612: UserWarning: Some inputs do not have OOB scores. This probably means too few trees were used to compute any reliable OOB estimates.
    warn(

sklearn/ensemble/tests/test_forest.py::test_mse_criterion_object_segfault_smoke_test[ExtraTreesRegressor]
sklearn/ensemble/tests/test_forest.py::test_mse_criterion_object_segfault_smoke_test[RandomForestRegressor]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/base.py:1389: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().
    return fit_method(estimator, *args, **kwargs)

sklearn/ensemble/tests/test_stacking.py: 30 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neural_network/_multilayer_perceptron.py:691: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn't converged yet.
    warnings.warn(

sklearn/ensemble/tests/test_weight_boosting.py: 9 warnings
sklearn/tests/test_common.py: 8 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/ensemble/_weight_boosting.py:605: RuntimeWarning: divide by zero encountered in log
    np.log(sample_weight)

sklearn/ensemble/tests/test_weight_boosting.py::test_sample_weights_infinite
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/ensemble/_weight_boosting.py:604: RuntimeWarning: overflow encountered in exp
    sample_weight = np.exp(

sklearn/feature_extraction/tests/test_text.py::test_vectorizer_pipeline_grid_selection
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:805: UserWarning: The least populated class in y has only 4 members, which is less than n_splits=5.
    warnings.warn(

sklearn/feature_extraction/tests/test_text.py::test_vectorizer_stop_words_inconsistent
sklearn/feature_extraction/tests/test_text.py::test_vectorizer_stop_words_inconsistent
sklearn/feature_extraction/tests/test_text.py::test_vectorizer_stop_words_inconsistent
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/feature_extraction/text.py:402: UserWarning: Your stop_words may be inconsistent with your preprocessing. Tokenizing the stop words generated tokens ['and', 'll', 've'] not in stop_words.
    warnings.warn(

sklearn/feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None-<lambda>-ngram_range3-\\w+-<lambda>-'preprocessor'-'analyzer'-is callable-CountVectorizer]
sklearn/feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None-<lambda>-ngram_range3-\\w+-<lambda>-'preprocessor'-'analyzer'-is callable-HashingVectorizer]
sklearn/feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None-<lambda>-ngram_range3-\\w+-<lambda>-'preprocessor'-'analyzer'-is callable-TfidfVectorizer]
sklearn/feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None-<lambda>-ngram_range3-\\w+-<lambda>-'preprocessor'-'analyzer'-is callable-TfidfVectorizer]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/feature_extraction/text.py:547: UserWarning: The parameter 'token_pattern' will not be used since 'analyzer' != 'word'
    warnings.warn(

sklearn/feature_selection/tests/test_feature_select.py::test_invalid_k
sklearn/feature_selection/tests/test_feature_select.py::test_invalid_k
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/feature_selection/_univariate_selection.py:111: UserWarning: Features [0] are constant.
    warnings.warn("Features %s are constant." % constant_features_idx, UserWarning)

sklearn/feature_selection/tests/test_feature_select.py::test_invalid_k
sklearn/feature_selection/tests/test_feature_select.py::test_invalid_k
sklearn/feature_selection/tests/test_feature_select.py::test_f_classif_constant_feature
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/feature_selection/_univariate_selection.py:112: RuntimeWarning: invalid value encountered in divide
    f = msb / msw

sklearn/feature_selection/tests/test_from_model.py: 4 warnings
sklearn/tests/test_common.py: 12 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/feature_selection/_base.py:122: UserWarning: No features were selected: either the data is too noisy or the selection test too strict.
    warnings.warn(

sklearn/feature_selection/tests/test_rfe.py: 50 warnings
sklearn/model_selection/tests/test_search.py: 30 warnings
sklearn/svm/tests/test_svm.py: 17 warnings
sklearn/tests/test_calibration.py: 12 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/svm/_base.py:1243: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
    warnings.warn(

sklearn/feature_selection/tests/test_variance_threshold.py::test_variance_nan[None]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/feature_selection/_variance_threshold.py:114: RuntimeWarning: Degrees of freedom <= 0 for slice.
    self.variances_ = np.nanvar(X, axis=0)

sklearn/feature_selection/tests/test_variance_threshold.py::test_variance_nan[None]
sklearn/feature_selection/tests/test_variance_threshold.py::test_variance_nan[bsr_matrix]
sklearn/feature_selection/tests/test_variance_threshold.py::test_variance_nan[bsr_array]
sklearn/feature_selection/tests/test_variance_threshold.py::test_variance_nan[csc_matrix]
sklearn/feature_selection/tests/test_variance_threshold.py::test_variance_nan[csc_array]
sklearn/feature_selection/tests/test_variance_threshold.py::test_variance_nan[csr_matrix]
sklearn/feature_selection/tests/test_variance_threshold.py::test_variance_nan[csr_array]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/feature_selection/_variance_threshold.py:122: RuntimeWarning: All-NaN slice encountered
    self.variances_ = np.nanmin(compare_arr, axis=0)

sklearn/gaussian_process/tests/test_gpc.py: 10 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:452: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__constant_value is close to the specified upper bound 100.0. Increasing the bound and calling fit again may find a better value.
    warnings.warn(

sklearn/gaussian_process/tests/test_gpc.py::test_random_starts[42]
sklearn/gaussian_process/tests/test_gpr.py::test_constant_target[kernel3]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:442: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__constant_value is close to the specified lower bound 0.01. Decreasing the bound and calling fit again may find a better value.
    warnings.warn(

sklearn/gaussian_process/tests/test_gpc.py::test_multi_class[kernel0]
sklearn/gaussian_process/tests/test_gpc.py::test_multi_class_n_jobs[kernel0]
sklearn/gaussian_process/tests/test_gpr.py::test_constant_target[kernel0]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:452: ConvergenceWarning: The optimal value found for dimension 0 of parameter length_scale is close to the specified upper bound 100000.0. Increasing the bound and calling fit again may find a better value.
    warnings.warn(

sklearn/gaussian_process/tests/test_gpr.py: 24 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:442: ConvergenceWarning: The optimal value found for dimension 0 of parameter k2__constant_value is close to the specified lower bound 1e-05. Decreasing the bound and calling fit again may find a better value.
    warnings.warn(

sklearn/gaussian_process/tests/test_gpr.py: 13 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:442: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__k2__length_scale is close to the specified lower bound 0.001. Decreasing the bound and calling fit again may find a better value.
    warnings.warn(

sklearn/gaussian_process/tests/test_gpr.py::test_anisotropic_kernel
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/_gpr.py:660: ConvergenceWarning: lbfgs failed to converge (status=2):
  ABNORMAL_TERMINATION_IN_LNSRCH.
  
  Increase the number of iterations (max_iter) or scale the data as shown in:
      https://scikit-learn.org/stable/modules/preprocessing.html
    _check_optimize_result("lbfgs", opt_res)

sklearn/gaussian_process/tests/test_gpr.py::test_random_starts
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:442: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__k2__length_scale is close to the specified lower bound 0.0001. Decreasing the bound and calling fit again may find a better value.
    warnings.warn(

sklearn/gaussian_process/tests/test_gpr.py::test_random_starts
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:442: ConvergenceWarning: The optimal value found for dimension 1 of parameter k1__k2__length_scale is close to the specified lower bound 0.0001. Decreasing the bound and calling fit again may find a better value.
    warnings.warn(

sklearn/gaussian_process/tests/test_gpr.py::test_bound_check_fixed_hyperparameter
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:442: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__k2__length_scale is close to the specified lower bound 1e-05. Decreasing the bound and calling fit again may find a better value.
    warnings.warn(

sklearn/gaussian_process/tests/test_gpr.py::test_constant_target[kernel2]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:452: ConvergenceWarning: The optimal value found for dimension 0 of parameter length_scale is close to the specified upper bound 1000.0. Increasing the bound and calling fit again may find a better value.
    warnings.warn(

sklearn/gaussian_process/tests/test_gpr.py::test_constant_target[kernel3]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:452: ConvergenceWarning: The optimal value found for dimension 0 of parameter k2__length_scale is close to the specified upper bound 1000.0. Increasing the bound and calling fit again may find a better value.
    warnings.warn(

sklearn/gaussian_process/tests/test_gpr.py::test_constant_target[kernel4]
sklearn/gaussian_process/tests/test_gpr.py::test_constant_target[kernel5]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:442: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__k1__constant_value is close to the specified lower bound 0.01. Decreasing the bound and calling fit again may find a better value.
    warnings.warn(

sklearn/gaussian_process/tests/test_gpr.py::test_constant_target[kernel4]
sklearn/gaussian_process/tests/test_gpr.py::test_constant_target[kernel5]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:452: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__k2__length_scale is close to the specified upper bound 1000.0. Increasing the bound and calling fit again may find a better value.
    warnings.warn(

sklearn/gaussian_process/tests/test_gpr.py::test_gpr_fit_error[params1-ValueError-requires that all bounds are finite]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:357: RuntimeWarning: invalid value encountered in log
    return np.log(np.vstack(bounds))

sklearn/impute/tests/test_common.py: 16 warnings
sklearn/impute/tests/test_impute.py: 1 warning
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/impute/_base.py:635: UserWarning: Skipping features without any observed values: [3]. At least one non-missing value is needed for imputation with strategy='mean'.
    warnings.warn(

sklearn/impute/tests/test_common.py: 4 warnings
sklearn/impute/tests/test_impute.py: 14 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/impute/_base.py:635: UserWarning: Skipping features without any observed values: [0]. At least one non-missing value is needed for imputation with strategy='mean'.
    warnings.warn(

sklearn/impute/tests/test_impute.py: 11 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/impute/_base.py:635: UserWarning: Skipping features without any observed values: [0]. At least one non-missing value is needed for imputation with strategy='median'.
    warnings.warn(

sklearn/impute/tests/test_impute.py: 16 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/impute/_base.py:635: UserWarning: Skipping features without any observed values: [0]. At least one non-missing value is needed for imputation with strategy='most_frequent'.
    warnings.warn(

sklearn/impute/tests/test_impute.py: 32 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/impute/_iterative.py:895: ConvergenceWarning: [IterativeImputer] Early stopping criterion not reached.
    warnings.warn(

sklearn/impute/tests/test_impute.py::test_iterative_imputer_all_missing
sklearn/impute/tests/test_impute.py::test_iterative_imputer_all_missing
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/impute/_base.py:635: UserWarning: Skipping features without any observed values: [0 1 2]. At least one non-missing value is needed for imputation with strategy='mean'.
    warnings.warn(

sklearn/impute/tests/test_impute.py::test_iterative_imputer_min_max_value_remove_empty
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/impute/_base.py:635: UserWarning: Skipping features without any observed values: [2]. At least one non-missing value is needed for imputation with strategy='mean'.
    warnings.warn(

sklearn/impute/tests/test_knn.py::test_knn_imputer_with_simple_example[-1-0]
sklearn/impute/tests/test_knn.py::test_knn_imputer_with_simple_example[nan-0]
sklearn/impute/tests/test_knn.py::test_knn_imputer_distance_weighted_not_enough_neighbors[-1-0]
sklearn/impute/tests/test_knn.py::test_knn_imputer_distance_weighted_not_enough_neighbors[-1-0]
sklearn/impute/tests/test_knn.py::test_knn_imputer_distance_weighted_not_enough_neighbors[nan-0]
sklearn/impute/tests/test_knn.py::test_knn_imputer_distance_weighted_not_enough_neighbors[nan-0]
sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce[float64]
sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce_none[float64]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/_chunking.py:172: UserWarning: Could not adhere to working_memory config. Currently 0MiB, 1MiB required.
    warnings.warn(

sklearn/linear_model/tests/test_common.py: 1 warning
sklearn/linear_model/tests/test_passive_aggressive.py: 12 warnings
sklearn/tests/test_multioutput.py: 1 warning
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_stochastic_gradient.py:1603: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
    warnings.warn(

sklearn/linear_model/tests/test_common.py: 1 warning
sklearn/linear_model/tests/test_logistic.py: 1 warning
sklearn/linear_model/tests/test_ridge.py: 18 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_sag.py:348: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
    warnings.warn(

sklearn/linear_model/tests/test_common.py: 14 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/validation.py:1408: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().
    y = column_or_1d(y, warn=True)

sklearn/linear_model/tests/test_common.py::test_linear_model_regressor_coef_shape[2-ElasticNetCV]
sklearn/linear_model/tests/test_common.py::test_linear_model_regressor_coef_shape[2-LassoCV]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:1659: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().
    y = column_or_1d(y, warn=True)

sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_nonfinite_params
  /usr/lib64/python3.13/site-packages/numpy/_core/_methods.py:135: RuntimeWarning: overflow encountered in reduce
    ret = umr_sum(arr, axis, dtype, out, keepdims, where=where)

sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_nonfinite_params
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_base.py:311: RuntimeWarning: invalid value encountered in matmul
    intercept_ = y_offset - X_offset @ coef_

sklearn/linear_model/tests/test_coordinate_descent.py::test_lasso_alpha_warning
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:695: UserWarning: Coordinate descent with no regularization may lead to unexpected results and is discouraged.
    model = cd_fast.enet_coordinate_descent(

sklearn/linear_model/tests/test_huber.py::test_huber_max_iter
sklearn/linear_model/tests/test_quantile.py::test_quantile_equals_huber_for_low_epsilon[True]
sklearn/linear_model/tests/test_quantile.py::test_quantile_equals_huber_for_low_epsilon[False]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_huber.py:343: ConvergenceWarning: lbfgs failed to converge (status=1):
  STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.
  
  Increase the number of iterations (max_iter) or scale the data as shown in:
      https://scikit-learn.org/stable/modules/preprocessing.html
    self.n_iter_ = _check_optimize_result("lbfgs", opt_res, self.max_iter)

sklearn/linear_model/tests/test_omp.py::test_unreachable_accuracy
sklearn/linear_model/tests/test_omp.py::test_unreachable_accuracy
sklearn/linear_model/tests/test_omp.py::test_omp_cv
sklearn/linear_model/tests/test_omp.py::test_omp_cv
sklearn/linear_model/tests/test_omp.py::test_omp_cv
sklearn/linear_model/tests/test_omp.py::test_omp_cv
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_omp.py:445: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met.
    out = _cholesky_omp(

sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized[wide-42-True-cholesky]
sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[wide-42-True-cholesky]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:252: LinAlgWarning: Ill-conditioned matrix (rcond=3.98386e-17): result may not be accurate.
    dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False)

sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-True-cholesky]
sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-False-cholesky]
sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeClassifierCV-3]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:254: UserWarning: Singular matrix in solving dual problem. Using least-squares solution instead.
    warnings.warn(

sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:252: LinAlgWarning: Ill-conditioned matrix (rcond=5.74507e-17): result may not be accurate.
    dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False)

sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:252: LinAlgWarning: Ill-conditioned matrix (rcond=5.49293e-17): result may not be accurate.
    dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False)

sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:252: LinAlgWarning: Ill-conditioned matrix (rcond=3.15218e-17): result may not be accurate.
    dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False)

sklearn/linear_model/tests/test_ridge.py: 57 warnings
sklearn/model_selection/tests/test_search.py: 10 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_regression.py:1266: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
    warnings.warn(msg, UndefinedMetricWarning)

sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3]
sklearn/linear_model/tests/test_ridge.py::test_ridgecv_sample_weight
sklearn/linear_model/tests/test_ridge.py::test_ridgecv_sample_weight
sklearn/linear_model/tests/test_ridge.py::test_ridgecv_sample_weight
sklearn/linear_model/tests/test_ridge.py::test_ridgecv_sample_weight
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:1107: UserWarning: One or more of the test scores are non-finite: [nan nan nan]
    warnings.warn(

sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:215: LinAlgWarning: Ill-conditioned matrix (rcond=4.53866e-18): result may not be accurate.
    return linalg.solve(A, Xy, assume_a="pos", overwrite_a=True).T

sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeClassifierCV-3]
sklearn/model_selection/tests/test_search.py::test_search_with_2d_array
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:805: UserWarning: The least populated class in y has only 2 members, which is less than n_splits=3.
    warnings.warn(

sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeClassifierCV-3]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:252: LinAlgWarning: Ill-conditioned matrix (rcond=7.76968e-17): result may not be accurate.
    dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False)

sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeClassifierCV-3]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:252: LinAlgWarning: Ill-conditioned matrix (rcond=2.38404e-17): result may not be accurate.
    dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False)

sklearn/linear_model/tests/test_sparse_coordinate_descent.py::test_lasso_zero[csc_matrix]
sklearn/linear_model/tests/test_sparse_coordinate_descent.py::test_lasso_zero[csc_array]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:656: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0, tolerance: 0.0
    model = cd_fast.sparse_enet_coordinate_descent(

sklearn/manifold/tests/test_isomap.py::test_transform[float64-2-None]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/manifold/_isomap.py:384: UserWarning: The number of connected components of the neighbors graph is 15 > 1. Completing the graph to fit Isomap might be slow. Increase the number of neighbors to avoid this issue.
    self._fit_transform(X)

sklearn/manifold/tests/test_isomap.py: 133 warnings
sklearn/tests/test_common.py: 18 warnings
sklearn/utils/tests/test_graph.py: 4 warnings
sklearn/utils/tests/test_validation.py: 16 warnings
  /usr/lib64/python3.13/site-packages/scipy/sparse/_index.py:108: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil and dok are more efficient.
    self._set_intXint(row, col, x.flat[0])

sklearn/manifold/tests/test_isomap.py::test_pipeline[float64-2-None]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/manifold/_isomap.py:384: UserWarning: The number of connected components of the neighbors graph is 7 > 1. Completing the graph to fit Isomap might be slow. Increase the number of neighbors to avoid this issue.
    self._fit_transform(X)

sklearn/manifold/tests/test_isomap.py::test_get_feature_names_out
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/manifold/_isomap.py:384: UserWarning: The number of connected components of the neighbors graph is 3 > 1. Completing the graph to fit Isomap might be slow. Increase the number of neighbors to avoid this issue.
    self._fit_transform(X)

sklearn/metrics/tests/test_classification.py: 1 warning
sklearn/metrics/tests/test_common.py: 76 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.
    _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))

sklearn/metrics/tests/test_classification.py: 1 warning
sklearn/metrics/tests/test_common.py: 25 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
    _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))

sklearn/metrics/tests/test_classification.py: 1 warning
sklearn/metrics/tests/test_common.py: 75 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 due to no true nor predicted samples. Use `zero_division` parameter to control this behavior.
    _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))

sklearn/metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False]
sklearn/metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False]
sklearn/metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False]
sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[precision_score]
sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[precision_score]
sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[precision_score]
sklearn/metrics/tests/test_common.py::test_no_averaging_labels
sklearn/metrics/tests/test_common.py::test_no_averaging_labels
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.
    _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))

sklearn/metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False]
sklearn/metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False]
sklearn/metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False]
sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[recall_score]
sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[recall_score]
sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[recall_score]
sklearn/metrics/tests/test_common.py::test_no_averaging_labels
sklearn/metrics/tests/test_common.py::test_no_averaging_labels
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
    _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))

sklearn/metrics/tests/test_classification.py: 3 warnings
sklearn/metrics/tests/test_common.py: 9 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no true nor predicted samples. Use `zero_division` parameter to control this behavior.
    _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))

sklearn/metrics/tests/test_classification.py::test_likelihood_ratios_warnings[params0-samples of only one class were seen during testing]
sklearn/metrics/tests/test_classification.py::test_matthews_corrcoef
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:407: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
    warnings.warn(

sklearn/metrics/tests/test_classification.py::test_likelihood_ratios_warnings[params4-no samples of the positive class were present in the testing set]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:2067: RuntimeWarning: invalid value encountered in scalar divide
    positive_likelihood_ratio = pos_num / pos_denom

sklearn/metrics/tests/test_classification.py::test_likelihood_ratios_warnings[params4-no samples of the positive class were present in the testing set]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:2074: RuntimeWarning: invalid value encountered in scalar divide
    negative_likelihood_ratio = neg_num / neg_denom

sklearn/metrics/tests/test_classification.py::test_likelihood_ratios
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/_param_validation.py:216: UserWarning: positive_likelihood_ratio ill-defined and being set to nan 
    return func(*args, **kwargs)

sklearn/metrics/tests/test_classification.py::test_balanced_accuracy_score[y_true2-y_pred2]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:2524: UserWarning: y_pred contains classes not in y_true
    warnings.warn("y_pred contains classes not in y_true")

sklearn/metrics/tests/test_classification.py::test_classification_metric_pos_label_types[classes3-precision_recall_fscore_support]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1618: UserWarning: Note that pos_label (set to 'one') is ignored when average != 'binary' (got None). You may use labels=[pos_label] to specify a single positive class.
    warnings.warn(

sklearn/metrics/tests/test_common.py: 301 warnings
sklearn/tests/test_common.py: 28 warnings
sklearn/utils/tests/test_estimator_checks.py: 2 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/_array_api.py:392: RuntimeWarning: invalid value encountered in cast
    return x.astype(dtype, copy=copy, casting=casting)

sklearn/metrics/tests/test_common.py::test_normalize_option_binary_classification[top_k_accuracy_score]
sklearn/metrics/tests/test_common.py::test_normalize_option_binary_classification[top_k_accuracy_score]
sklearn/metrics/tests/test_ranking.py::test_top_k_accuracy_score_binary[y_score2-2-1]
sklearn/metrics/tests/test_ranking.py::test_top_k_accuracy_score_binary[y_score5-2-1]
sklearn/metrics/tests/test_score_objects.py::test_classification_binary_scores[top_k_accuracy-top_k_accuracy_score]
sklearn/metrics/tests/test_score_objects.py::test_classification_binary_scores[top_k_accuracy-top_k_accuracy_score]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_ranking.py:2022: UndefinedMetricWarning: 'k' (2) greater than or equal to 'n_classes' (2) will result in a perfect score and is therefore meaningless.
    warnings.warn(

sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[f0.5_score]
sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[f1_score]
sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[f2_score]
sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[samples_f0.5_score]
sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[samples_f1_score]
sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[samples_f2_score]
sklearn/metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight
sklearn/metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight
sklearn/metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in samples with no true nor predicted labels. Use `zero_division` parameter to control this behavior.
    _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))

sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[jaccard_score]
sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[jaccard_score]
sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[jaccard_score]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Jaccard is ill-defined and being set to 0.0 in labels with no true or predicted samples. Use `zero_division` parameter to control this behavior.
    _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))

sklearn/metrics/tests/test_common.py: 25 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Jaccard is ill-defined and being set to 0.0 due to no true or predicted samples. Use `zero_division` parameter to control this behavior.
    _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))

sklearn/metrics/tests/test_common.py: 2 warnings
sklearn/metrics/tests/test_score_objects.py: 3 warnings
sklearn/tests/test_multioutput.py: 6 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Jaccard is ill-defined and being set to 0.0 in samples with no true or predicted labels. Use `zero_division` parameter to control this behavior.
    _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))

sklearn/metrics/tests/test_common.py: 27 warnings
sklearn/metrics/tests/test_score_objects.py: 4 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in samples with no predicted labels. Use `zero_division` parameter to control this behavior.
    _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))

sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[recall_score]
sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[samples_recall_score]
sklearn/metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight
sklearn/metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight
sklearn/metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight
sklearn/metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in samples with no true labels. Use `zero_division` parameter to control this behavior.
    _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))

sklearn/metrics/tests/test_ranking.py::test_precision_recall_curve_drop_intermediate
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_ranking.py:1027: UserWarning: No positive class found in y_true, recall is set to one for all thresholds.
    warnings.warn(

sklearn/metrics/tests/test_regression.py::test_multioutput_regression
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/tests/test_regression.py:174: RuntimeWarning: invalid value encountered in scalar divide
    - np.abs(y_true[:, i] - y_pred[:, i]).sum()

sklearn/metrics/tests/test_regression.py::test_multioutput_regression
sklearn/metrics/tests/test_regression.py::test_multioutput_regression
sklearn/metrics/tests/test_regression.py::test_multioutput_regression
sklearn/metrics/tests/test_regression.py::test_regression_metrics_at_limits
sklearn/metrics/tests/test_regression.py::test_regression_metrics_at_limits
sklearn/metrics/tests/test_regression.py::test_regression_multioutput_array
sklearn/metrics/tests/test_regression.py::test_regression_multioutput_array
sklearn/metrics/tests/test_regression.py::test_regression_multioutput_array
sklearn/metrics/tests/test_regression.py::test_regression_multioutput_array
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_regression.py:930: RuntimeWarning: invalid value encountered in divide
    output_scores = 1 - (numerator / denominator)

sklearn/metrics/tests/test_regression.py::test_multioutput_regression
sklearn/metrics/tests/test_regression.py::test_regression_metrics_at_limits
sklearn/metrics/tests/test_regression.py::test_regression_metrics_at_limits
sklearn/metrics/tests/test_regression.py::test_regression_multioutput_array
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_regression.py:930: RuntimeWarning: divide by zero encountered in divide
    output_scores = 1 - (numerator / denominator)

sklearn/mixture/tests/test_bayesian_mixture.py: 349 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/mixture/_bayesian_mixture.py:810: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)
    log_wishart = self.n_components * np.float64(

sklearn/mixture/tests/test_gaussian_mixture.py::test_regularisation
sklearn/mixture/tests/test_gaussian_mixture.py::test_regularisation
sklearn/mixture/tests/test_gaussian_mixture.py::test_regularisation
sklearn/mixture/tests/test_gaussian_mixture.py::test_regularisation
sklearn/mixture/tests/test_gaussian_mixture.py::test_regularisation
sklearn/mixture/tests/test_gaussian_mixture.py::test_regularisation
sklearn/mixture/tests/test_gaussian_mixture.py::test_regularisation
sklearn/mixture/tests/test_gaussian_mixture.py::test_regularisation
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/base.py:1389: ConvergenceWarning: Number of distinct clusters (2) found smaller than n_clusters (10). Possibly due to duplicate points in X.
    return fit_method(estimator, *args, **kwargs)

sklearn/mixture/tests/test_gaussian_mixture.py::test_gaussian_mixture_setting_best_params
sklearn/mixture/tests/test_mixture.py::test_gaussian_mixture_n_iter[estimator0]
sklearn/mixture/tests/test_mixture.py::test_gaussian_mixture_n_iter[estimator1]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/mixture/_base.py:269: ConvergenceWarning: Best performing initialization did not converge. Try different init parameters, or increase max_iter, tol, or check for degenerate data.
    warnings.warn(

sklearn/model_selection/tests/test_search.py::test_SearchCV_with_fit_params[RandomizedSearchCV]
sklearn/model_selection/tests/test_search.py::test_SearchCV_with_fit_params[RandomizedSearchCV]
sklearn/model_selection/tests/test_search.py::test_SearchCV_with_fit_params[RandomizedSearchCV]
sklearn/model_selection/tests/test_search.py::test_empty_cv_iterator_error
sklearn/model_selection/tests/test_search.py::test_random_search_bad_cv
sklearn/model_selection/tests/test_search.py::test_inverse_transform_Xt_deprecation[RandomizedSearchCV]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:317: UserWarning: The total space of parameters 3 is smaller than n_iter=10. Running 3 iterations. For exhaustive searches, use GridSearchCV.
    warnings.warn(

sklearn/model_selection/tests/test_search.py: 4 warnings
sklearn/model_selection/tests/test_successive_halving.py: 1 warning
sklearn/tests/test_metaestimators_metadata_routing.py: 8 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:317: UserWarning: The total space of parameters 2 is smaller than n_iter=10. Running 2 iterations. For exhaustive searches, use GridSearchCV.
    warnings.warn(

sklearn/model_selection/tests/test_search.py::test_random_search_cv_results_multimetric
sklearn/model_selection/tests/test_search.py::test_random_search_cv_results_multimetric
sklearn/model_selection/tests/test_search.py::test_random_search_cv_results_multimetric
sklearn/model_selection/tests/test_search.py::test_random_search_cv_results_multimetric
sklearn/model_selection/tests/test_search.py::test_random_search_cv_results_multimetric
sklearn/model_selection/tests/test_search.py::test_random_search_cv_results_multimetric
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:317: UserWarning: The total space of parameters 9 is smaller than n_iter=30. Running 9 iterations. For exhaustive searches, use GridSearchCV.
    warnings.warn(

sklearn/model_selection/tests/test_search.py::test_search_cv_results_none_param
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:1107: UserWarning: One or more of the test scores are non-finite: [nan nan]
    warnings.warn(

sklearn/model_selection/tests/test_search.py::test_grid_search_failing_classifier
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:1107: UserWarning: One or more of the test scores are non-finite: [0.5 0.5 nan]
    warnings.warn(

sklearn/model_selection/tests/test_search.py: 1 warning
sklearn/model_selection/tests/test_validation.py: 15 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_stochastic_gradient.py:1383: RuntimeWarning: divide by zero encountered in log
    return np.log(self.predict_proba(X))

sklearn/model_selection/tests/test_search.py::test_search_estimator_param[RandomizedSearchCV-param_distributions]
sklearn/model_selection/tests/test_search.py::test_multi_metric_search_forwards_metadata[RandomizedSearchCV-param_distributions]
sklearn/model_selection/tests/test_search.py::test_score_rejects_params_with_no_routing_enabled[RandomizedSearchCV-param_distributions]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:317: UserWarning: The total space of parameters 1 is smaller than n_iter=10. Running 1 iterations. For exhaustive searches, use GridSearchCV.
    warnings.warn(

sklearn/model_selection/tests/test_split.py: 14 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:805: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=4.
    warnings.warn(

sklearn/model_selection/tests/test_split.py: 14 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:805: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=6.
    warnings.warn(

sklearn/model_selection/tests/test_split.py: 14 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:805: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=7.
    warnings.warn(

sklearn/model_selection/tests/test_split.py: 14 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:1023: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=4.
    warnings.warn(

sklearn/model_selection/tests/test_split.py: 14 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:1023: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=6.
    warnings.warn(

sklearn/model_selection/tests/test_split.py: 14 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:1023: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=7.
    warnings.warn(

sklearn/model_selection/tests/test_successive_halving.py::test_input_errors[params1-Cannot use parameter a as the resource since it is part of-HalvingRandomSearchCV]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:317: UserWarning: The total space of parameters 1 is smaller than n_iter=100. Running 1 iterations. For exhaustive searches, use GridSearchCV.
    warnings.warn(

sklearn/model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]
sklearn/model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]
sklearn/model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]
sklearn/model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:317: UserWarning: The total space of parameters 1 is smaller than n_iter=4. Running 1 iterations. For exhaustive searches, use GridSearchCV.
    warnings.warn(

sklearn/model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]
sklearn/model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]
sklearn/model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:317: UserWarning: The total space of parameters 1 is smaller than n_iter=2. Running 1 iterations. For exhaustive searches, use GridSearchCV.
    warnings.warn(

sklearn/model_selection/tests/test_validation.py: 124 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:877: UserWarning: The groups parameter is ignored by StratifiedKFold
    warnings.warn(

sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_decision_function_shape
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py:1379: RuntimeWarning: Number of classes in training fold (1) does not match total number of classes (2). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds
    warnings.warn(

sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_decision_function_shape
sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_class_subset
sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_class_subset
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py:1379: RuntimeWarning: Number of classes in training fold (7) does not match total number of classes (10). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds
    warnings.warn(

sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_unbalanced
sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_unbalanced
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:805: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=2.
    warnings.warn(

sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_unbalanced
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py:1379: RuntimeWarning: Number of classes in training fold (2) does not match total number of classes (3). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds
    warnings.warn(

sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_class_subset
sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_class_subset
sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_class_subset
sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_class_subset
sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_class_subset
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py:1379: RuntimeWarning: Number of classes in training fold (8) does not match total number of classes (10). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds
    warnings.warn(

sklearn/model_selection/tests/test_validation.py::test_fit_and_score_working
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py:960: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
  Traceback (most recent call last):
    File "/builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py", line 949, in _score
      scores = scorer(estimator, X_test, y_test, **score_params)
  TypeError: 'dict' object is not callable
  
    warnings.warn(

sklearn/neighbors/tests/test_lof.py::test_n_neighbors_attribute
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_lof.py:282: UserWarning: n_neighbors (500) is greater than the total number of samples (150). n_neighbors will be set to (n_samples - 1) for estimation.
    warnings.warn(

sklearn/neighbors/tests/test_lof.py::test_hasattr_prediction
sklearn/neighbors/tests/test_lof.py::test_hasattr_prediction
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_lof.py:282: UserWarning: n_neighbors (20) is greater than the total number of samples (3). n_neighbors will be set to (n_samples - 1) for estimation.
    warnings.warn(

sklearn/neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_n_features_in_after_fitting]
sklearn/neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_estimators_nan_inf]
sklearn/neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_estimators_nan_inf]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_lof.py:282: UserWarning: n_neighbors (20) is greater than the total number of samples (10). n_neighbors will be set to (n_samples - 1) for estimation.
    warnings.warn(

sklearn/neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_classifier_data_not_an_array]
sklearn/neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_classifier_data_not_an_array]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_lof.py:282: UserWarning: n_neighbors (20) is greater than the total number of samples (12). n_neighbors will be set to (n_samples - 1) for estimation.
    warnings.warn(

sklearn/neighbors/tests/test_nca.py::test_callback
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_nca.py:333: ConvergenceWarning: [NeighborhoodComponentsAnalysis] NCA did not converge: STOP: TOTAL NO. of ITERATIONS REACHED LIMIT
    warn(

sklearn/neighbors/tests/test_nearest_centroid.py::test_features_zero_var
sklearn/neighbors/tests/test_nearest_centroid.py::test_error_zero_variances[array]
sklearn/neighbors/tests/test_nearest_centroid.py::test_error_zero_variances[csr_matrix]
sklearn/neighbors/tests/test_nearest_centroid.py::test_error_zero_variances[csr_array]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_nearest_centroid.py:244: UserWarning: self.within_class_std_dev_ has at least 1 zero standard deviation.Inputs within the same classes for at least 1 feature are identical.
    warnings.warn(

sklearn/neighbors/tests/test_neighbors.py: 185 warnings
sklearn/tests/test_common.py: 48 warnings
  /usr/lib64/python3.13/site-packages/numpy/_core/numeric.py:442: RuntimeWarning: invalid value encountered in cast
    multiarray.copyto(res, fill_value, casting='unsafe')

sklearn/neighbors/tests/test_neighbors.py: 12 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_classification.py:874: RuntimeWarning: invalid value encountered in divide
    proba_k /= normalizer

sklearn/neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_matrix-KNeighborsClassifier]
sklearn/neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_matrix-RadiusNeighborsClassifier]
sklearn/neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_matrix-KNeighborsRegressor]
sklearn/neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_matrix-RadiusNeighborsRegressor]
sklearn/neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_array-KNeighborsClassifier]
sklearn/neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_array-RadiusNeighborsClassifier]
sklearn/neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_array-KNeighborsRegressor]
sklearn/neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_array-RadiusNeighborsRegressor]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_base.py:598: UserWarning: cannot use tree with sparse input: using brute force
    warnings.warn("cannot use tree with sparse input: using brute force")

sklearn/neighbors/tests/test_neighbors.py: 11 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_unsupervised.py:179: SyntaxWarning: Parameter p is found in metric_params. The corresponding parameter from __init__ is ignored.
    return self._fit(X)

sklearn/neighbors/tests/test_neighbors.py::test_valid_brute_metric_for_auto_algorithm[float64-csr_matrix-yule]
sklearn/neighbors/tests/test_neighbors.py::test_valid_brute_metric_for_auto_algorithm[float64-csr_array-yule]
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-yule]
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-yule]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/pairwise.py:2466: DataConversionWarning: Data was converted to boolean for metric yule
    warnings.warn(msg, DataConversionWarning)

sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_predict_proba
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_predict_proba
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_classification.py:864: UserWarning: Outlier label -1 is not in training classes. All class probabilities of outliers will be assigned with 0.
    warnings.warn(

sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-dice]
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-dice]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/pairwise.py:2466: DataConversionWarning: Data was converted to boolean for metric dice
    warnings.warn(msg, DataConversionWarning)

sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-jaccard]
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-jaccard]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/pairwise.py:2466: DataConversionWarning: Data was converted to boolean for metric jaccard
    warnings.warn(msg, DataConversionWarning)

sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-rogerstanimoto]
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-rogerstanimoto]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/pairwise.py:2466: DataConversionWarning: Data was converted to boolean for metric rogerstanimoto
    warnings.warn(msg, DataConversionWarning)

sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-russellrao]
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-russellrao]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/pairwise.py:2466: DataConversionWarning: Data was converted to boolean for metric russellrao
    warnings.warn(msg, DataConversionWarning)

sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-sokalmichener]
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-sokalmichener]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/pairwise.py:2466: DataConversionWarning: Data was converted to boolean for metric sokalmichener
    warnings.warn(msg, DataConversionWarning)

sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-sokalsneath]
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-sokalsneath]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/pairwise.py:2466: DataConversionWarning: Data was converted to boolean for metric sokalsneath
    warnings.warn(msg, DataConversionWarning)

sklearn/neighbors/tests/test_neighbors.py::test_nearest_neighbours_works_with_p_less_than_1
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_base.py:668: UserWarning: Mind that for 0 < p < 1, Minkowski metrics are not distance metrics. Continuing the execution with `algorithm='brute'`.
    warnings.warn(

sklearn/neighbors/tests/test_neighbors_pipeline.py::test_spectral_clustering
sklearn/neighbors/tests/test_neighbors_pipeline.py::test_spectral_embedding
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/manifold/_spectral_embedding.py:310: UserWarning: Array is not symmetric, and will be converted to symmetric by average with its transpose.
    adjacency = check_symmetric(adjacency)

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

sklearn/preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]
sklearn/preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/extmath.py:1101: RuntimeWarning: invalid value encountered in divide
    updated_mean = (last_sum + new_sum) / updated_sample_count

sklearn/preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]
sklearn/preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/extmath.py:1106: RuntimeWarning: invalid value encountered in divide
    T = new_sum / new_sample_count

sklearn/preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]
sklearn/preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/extmath.py:1126: RuntimeWarning: invalid value encountered in divide
    new_unnormalized_variance -= correction**2 / new_sample_count

sklearn/preprocessing/tests/test_data.py::test_quantile_transform_and_inverse
sklearn/preprocessing/tests/test_data.py::test_one_to_one_features[QuantileTransformer]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2824: UserWarning: n_quantiles (1000) is greater than the total number of samples (150). n_quantiles is set to n_samples.
    warnings.warn(

sklearn/preprocessing/tests/test_data.py::test_quantile_transform_and_inverse
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2824: UserWarning: n_quantiles (1000) is greater than the total number of samples (7). n_quantiles is set to n_samples.
    warnings.warn(

sklearn/preprocessing/tests/test_data.py::test_quantile_transform_nan
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2824: UserWarning: n_quantiles (10) is greater than the total number of samples (3). n_quantiles is set to n_samples.
    warnings.warn(

sklearn/preprocessing/tests/test_data.py::test_quantile_transform_nan
  /usr/lib64/python3.13/site-packages/numpy/lib/_nanfunctions_impl.py:1620: RuntimeWarning: All-NaN slice encountered
    return fnb._ureduce(a,

sklearn/preprocessing/tests/test_discretization.py::test_fit_transform[quantile-expected5-sample_weight5]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_discretization.py:306: UserWarning: Bins whose width are too small (i.e., <= 1e-8) in feature 0 are removed. Consider decreasing the number of bins.
    warnings.warn(

sklearn/preprocessing/tests/test_discretization.py::test_fit_transform[quantile-expected5-sample_weight5]
sklearn/preprocessing/tests/test_discretization.py::test_fit_transform_n_bins_array[quantile-expected4-sample_weight4]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_discretization.py:306: UserWarning: Bins whose width are too small (i.e., <= 1e-8) in feature 1 are removed. Consider decreasing the number of bins.
    warnings.warn(

sklearn/preprocessing/tests/test_discretization.py::test_fit_transform[quantile-expected5-sample_weight5]
sklearn/preprocessing/tests/test_discretization.py::test_fit_transform_n_bins_array[quantile-expected4-sample_weight4]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_discretization.py:306: UserWarning: Bins whose width are too small (i.e., <= 1e-8) in feature 2 are removed. Consider decreasing the number of bins.
    warnings.warn(

sklearn/preprocessing/tests/test_discretization.py::test_fit_transform[quantile-expected5-sample_weight5]
sklearn/preprocessing/tests/test_discretization.py::test_fit_transform_n_bins_array[quantile-expected4-sample_weight4]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_discretization.py:306: UserWarning: Bins whose width are too small (i.e., <= 1e-8) in feature 3 are removed. Consider decreasing the number of bins.
    warnings.warn(

sklearn/preprocessing/tests/test_discretization.py::test_redundant_bins[kmeans-expected_bin_edges1]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/base.py:1389: ConvergenceWarning: Number of distinct clusters (2) found smaller than n_clusters (3). Possibly due to duplicate points in X.
    return fit_method(estimator, *args, **kwargs)

sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_handle_unknown[warn]
sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_inverse[None-False-warn]
sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_inverse[None-True-warn]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_encoders.py:246: UserWarning: Found unknown categories in columns [0, 1] during transform. These unknown categories will be encoded as all zeros
    warnings.warn(

sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_handle_unknown_strings[warn]
sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[object-warn]
sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[numeric-warn]
sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[object-string-warn]
sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[object-string-none-warn]
sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[object-string-nan-warn]
sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[object-None-and-nan-warn]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_encoders.py:246: UserWarning: Found unknown categories in columns [0] during transform. These unknown categories will be encoded as all zeros
    warnings.warn(

sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_inverse[None-False-warn]
sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_inverse[None-True-warn]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_encoders.py:246: UserWarning: Found unknown categories in columns [1] during transform. These unknown categories will be encoded as all zeros
    warnings.warn(

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

sklearn/tests/test_calibration.py: 19 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/calibration.py:337: UserWarning: The `cv='prefit'` option is deprecated in 1.6 and will be removed in 1.8. You can use CalibratedClassifierCV(FrozenEstimator(estimator)) instead.
    warnings.warn(

sklearn/tests/test_calibration.py::test_calibration_prefit[csr_matrix]
sklearn/tests/test_calibration.py::test_calibration_prefit[csr_matrix]
sklearn/tests/test_calibration.py::test_calibration_prefit[csr_matrix]
sklearn/tests/test_calibration.py::test_calibration_prefit[csr_matrix]
sklearn/tests/test_calibration.py::test_calibration_prefit[csr_array]
sklearn/tests/test_calibration.py::test_calibration_prefit[csr_array]
sklearn/tests/test_calibration.py::test_calibration_prefit[csr_array]
sklearn/tests/test_calibration.py::test_calibration_prefit[csr_array]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/calibration.py:382: UserWarning: Since FrozenEstimator does not appear to accept sample_weight, sample weights will only be used for the calibration itself. This can be caused by a limitation of the current scikit-learn API. See the following issue for more details: https://github.com/scikit-learn/scikit-learn/issues/21134. Be warned that the result of the calibration is likely to be incorrect.
    warnings.warn(

sklearn/tests/test_calibration.py::test_calibration_less_classes[False]
sklearn/tests/test_calibration.py::test_calibration_less_classes[False]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py:1379: RuntimeWarning: Number of classes in training fold (3) does not match total number of classes (4). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds
    warnings.warn(

sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_classifiers_one_label_sample_weights]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/naive_bayes.py:512: RuntimeWarning: divide by zero encountered in log
    jointi = np.log(self.class_prior_[i])

sklearn/tests/test_common.py: 12 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_pca.py:586: RuntimeWarning: invalid value encountered in divide
    explained_variance_ = (S**2) / (n_samples - 1)

sklearn/tests/test_common.py: 22 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/_bicluster.py:31: RuntimeWarning: divide by zero encountered in divide
    row_diag = np.asarray(1.0 / np.sqrt(X.sum(axis=1))).squeeze()

sklearn/tests/test_common.py::test_estimators[SpectralCoclustering(n_clusters=2,n_init=2)-check_estimator_sparse_array]
sklearn/tests/test_common.py::test_estimators[SpectralCoclustering(n_clusters=2,n_init=2)-check_estimator_sparse_matrix]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/_bicluster.py:338: RuntimeWarning: invalid value encountered in multiply
    z = np.vstack((row_diag[:, np.newaxis] * u, col_diag[:, np.newaxis] * v))

sklearn/tests/test_common.py::test_transformers_get_feature_names_out[FastICA(max_iter=5)]
sklearn/tests/test_common.py::test_set_output_transform[FastICA(max_iter=5)]
sklearn/tests/test_common.py::test_set_output_transform[FastICA(max_iter=5)]
sklearn/tests/test_common.py::test_set_output_transform[FastICA(max_iter=5)]
sklearn/tests/test_common.py::test_set_output_transform[FastICA(max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_fastica.py:127: ConvergenceWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations.
    warnings.warn(

sklearn/tests/test_common.py::test_transformers_get_feature_names_out[Isomap()]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/manifold/_isomap.py:384: UserWarning: The number of connected components of the neighbors graph is 2 > 1. Completing the graph to fit Isomap might be slow. Increase the number of neighbors to avoid this issue.
    self._fit_transform(X)

sklearn/tests/test_common.py::test_transformers_get_feature_names_out[MiniBatchNMF(batch_size=10,fresh_restarts=True,max_iter=20)]
sklearn/tests/test_common.py::test_set_output_transform[MiniBatchNMF(batch_size=10,fresh_restarts=True,max_iter=20)]
sklearn/tests/test_common.py::test_set_output_transform[MiniBatchNMF(batch_size=10,fresh_restarts=True,max_iter=20)]
sklearn/tests/test_common.py::test_set_output_transform[MiniBatchNMF(batch_size=10,fresh_restarts=True,max_iter=20)]
sklearn/tests/test_common.py::test_set_output_transform[MiniBatchNMF(batch_size=10,fresh_restarts=True,max_iter=20)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:2327: ConvergenceWarning: Maximum number of iterations 20 reached. Increase it to improve convergence.
    warnings.warn(

sklearn/tests/test_common.py::test_transformers_get_feature_names_out[Nystroem()]
sklearn/tests/test_common.py::test_set_output_transform[Nystroem()]
sklearn/tests/test_common.py::test_set_output_transform[Nystroem()]
sklearn/tests/test_common.py::test_set_output_transform[Nystroem()]
sklearn/tests/test_common.py::test_set_output_transform[Nystroem()]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/kernel_approximation.py:1013: UserWarning: n_components > n_samples. This is not possible.
  n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
    warnings.warn(

sklearn/tests/test_common.py::test_transformers_get_feature_names_out[QuantileTransformer()]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2824: UserWarning: n_quantiles (1000) is greater than the total number of samples (30). n_quantiles is set to n_samples.
    warnings.warn(

sklearn/tests/test_common.py::test_set_output_transform[QuantileTransformer()]
sklearn/tests/test_common.py::test_set_output_transform[QuantileTransformer()]
sklearn/tests/test_common.py::test_set_output_transform[QuantileTransformer()]
sklearn/tests/test_common.py::test_set_output_transform[QuantileTransformer()]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2824: UserWarning: n_quantiles (1000) is greater than the total number of samples (20). n_quantiles is set to n_samples.
    warnings.warn(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[AffinityPropagation(max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/_affinity_propagation.py:140: ConvergenceWarning: Affinity propagation did not converge, this model may return degenerate cluster centers and labels.
    warnings.warn(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.013600403306909925, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03665116082127895, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.040332571379138926, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.042338287573556954, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04399714422718404, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0453915031566936, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04655165148312079, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.047504257032201735, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048273864880044925, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04888295807548815, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04935201401120537, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04969958357783355, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04994238724835043, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05009542273020173, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05017207971273052, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0501842580428189, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05014248637937868, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05005603901084754, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04993304906687257, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04978061682042778, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04960491216844787, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04941127070071616, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0492042830283097, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048987877252791634, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0487653946186839, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04853965851589237, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04831303709102741, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048087499789268406, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.047864668191749615, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04764586153759609, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04743213733012652, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04722432742700988, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.047023070006474654, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.046828837784730126, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.046641962846400986, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.046462658422044, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04629103793020306, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.046127131574010605, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04597090076052979, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04582225058617695, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045681040612699064, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045547094132786015, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04542020610754349, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04530014993860476, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045186683218972234, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04507955259448693, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04497849784767993, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04488325531230686, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044793560699481816, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04470915142417908, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04462976849830369, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044555158049028876, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04448507252145362, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04441927160974046, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04435752295535167, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04429960265654387, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04424529560613166, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04419439569945638, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04414670592749559, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04410203836869897, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04406021411664085, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04402106313473553, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04398442406754555, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043950144010125314, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04391807825081173, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043888089988158185, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04386005003558324, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04383383651777706, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04380933454837077, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043786435926932654, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04376503881870519, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04374504744457397, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043726371782128126, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04370892726296205, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04369263448797511, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043677418943183, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04366321073484869, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043649944326119794, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04363755829767513, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04362599509899212, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04361520082290582, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04360512500446845, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043595720393398096, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04358694277378561, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04357875078245854, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043571105724829806, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04356397140860224, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.02242199605876749, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048236309604121175, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.051523864985554724, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05256396561011201, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.053171065529816985, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05349220795529419, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.053581471926975155, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05348196852555276, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05323022641040609, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05285720874947941, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.052389095282755704, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05184795600124659, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05125233361101067, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.050617746951573395, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04995712587911072, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04928118674135362, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04859875636763178, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04791705145458991, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.047241919318864234, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04657804520030595, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045929130613082236, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045298046647445744, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044686965607589, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04409747392097785, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04353066886611856, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04298724132526388, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04246754647536477, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04197166407423225, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.041499449778804376, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.041050578738079935, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04062458253694956, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04022088042297156, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03983880562223874, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03947762743804617, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03913656974014401, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03881482635754452, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03851157382970172, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03822598190090787, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03795722209190444, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03770447463743665, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03746693403578405, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0372438134271178, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03703434797959915, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03683779744266502, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03665344800307224, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03648061355806931, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03631863650380751, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03616688812658708, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03602476866501547, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03589170710669265, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03576716077150621, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03565061472404807, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.035541581053777804, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03543959805430319, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03534422932696657, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03525506283255453, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03517170990703988, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03509380425819586, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.035021000956639625, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034952975429632716, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034889422462271114, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034830055225448575, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03477460431757606, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03472281683969669, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034674455497992085, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03462929774021717, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03458713492490517, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03454777152528976, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03451102436820719, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03447672191178697, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034444703548167865, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0344148189593767, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034386927477925155, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034360897515874456, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03433660599020527, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03431393780997638, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034292785363390976, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03427304806397302, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03425463189769573, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03423744900828041, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03422141730968775, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0342064601074199, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03419250576637012, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034179487376270856, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0341673424400355, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034156012612037046, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03414544339510428, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.013600403306895714, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.036651160821271844, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04033257137915314, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.042338287573556954, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04399714422719114, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0453915031566936, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04655165148309948, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04750425703220884, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04827386488002361, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04888295807550236, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04935201401121958, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04969958357784776, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049942387248385955, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05009542273020173, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05017207971271631, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0501842580428189, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05014248637938579, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05005603901086175, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04993304906685836, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04978061682044199, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0496049121684905, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04941127070078721, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04920428302826707, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04898787725284137, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04876539461872653, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04853965851589237, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048313037090991884, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04808749978928972, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.047864668191827775, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04764586153771688, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04743213733014784, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04722432742707383, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04702307000646755, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04682883778475855, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04664196284642941, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.046462658422044, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04629103793020306, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.046127131574039026, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04597090076050847, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045822250586340374, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045681040612791435, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04554709413267233, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04542020610763586, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04530014993859055, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04518668321910013, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045079552594522454, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044978497847878884, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04488325531238502, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04479356069944629, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04470915142435672, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04462976849799105, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044555158049107035, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04448507252151046, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04441927160908676, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04435752295567852, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04429960265660071, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04424529560612456, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04419439569978323, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0441467059272469, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04410203836865634, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044060214116804275, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044021063135019745, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043984424066444205, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043950144009627934, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043918078249625125, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043888089988250556, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0438600500356543, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043833836517734426, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0438093345477526, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0437864359271245, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04376503881912441, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043745047444645024, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04372637178103389, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04370892726281994, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04369263448772642, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043677418942088764, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043663210733022595, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043649944327654566, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04363755829854199, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04362599509913423, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0436152008245827, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04360512500426239, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043595720391238046, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043586942773373494, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04357875078448359, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04357110572336609, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04356397140976753, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.02242199605875328, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04823630960412828, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.051523864985554724, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05256396561014043, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05317106552982409, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.053492207955301296, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05358147192696805, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05348196852553144, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05323022641039188, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.052857208749472306, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05238909528273439, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.051847956001232376, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.051252333610989353, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05061774695153787, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049957125879103614, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04928118674135362, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048598756367638885, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.047917051454582804, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04724191931887134, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04657804520030595, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04592913061306092, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04529804664745285, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04468696560760321, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04409747392102048, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043530668866111455, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04298724132532783, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04246754647532214, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04197166407420383, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04149944977886122, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.041050578738079935, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0406245825368714, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04022088042303551, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03983880562216058, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.039477627438067486, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03913656974020796, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.038814826357565835, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03851157382969461, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03822598190089366, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.037957222091989706, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03770447463744375, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03746693403576984, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03724381342708938, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03703434797954941, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03683779744270055, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03665344800317882, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.036480613558090624, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03631863650374356, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03616688812655866, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03602476866501547, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03589170710682765, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.035767160771982276, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03565061472421149, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.035541581053855964, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03543959805428898, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03534422932737158, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03525506283283164, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03517170990684804, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03509380425801112, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03502100095692384, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034952975429106914, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03488942246217164, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0348300552249583, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03477460431756896, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03472281684006617, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034674455498347356, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03462929774060086, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034587134925224916, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03454777152488475, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03451102436842035, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03447672191105511, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03444470354894946, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03441481895887222, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03438692747797489, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03436089751411231, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03433660599139188, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034313937809379524, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03429278536375335, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03427304806469067, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034254631898093635, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03423744900759118, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034221417308160085, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03420646010719253, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03419250576310162, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034179487373990014, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03416734243942443, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0341560126110565, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03414544339327108, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[QuantileTransformer()]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2824: UserWarning: n_quantiles (1000) is greater than the total number of samples (100). n_quantiles is set to n_samples.
    warnings.warn(

sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[TheilSenRegressor(max_iter=5,max_subpopulation=100)]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor.
    warnings.warn(

sklearn/tests/test_config.py::test_config_threadsafe_joblib[multiprocessing]
sklearn/tests/test_config.py::test_config_threadsafe_joblib[multiprocessing]
sklearn/utils/tests/test_parallel.py::test_configuration_passes_through_to_joblib[multiprocessing-2]
sklearn/utils/tests/test_parallel.py::test_configuration_passes_through_to_joblib[multiprocessing-2]
  /usr/lib64/python3.13/multiprocessing/popen_fork.py:67: DeprecationWarning: This process (pid=12640) is multi-threaded, use of fork() may lead to deadlocks in the child.
    self.pid = os.fork()

sklearn/tests/test_discriminant_analysis.py::test_qda_regularization
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/discriminant_analysis.py:1052: RuntimeWarning: divide by zero encountered in power
    X2 = np.dot(Xm, R * (S ** (-0.5)))

sklearn/tests/test_discriminant_analysis.py::test_qda_regularization
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/discriminant_analysis.py:1052: RuntimeWarning: invalid value encountered in multiply
    X2 = np.dot(Xm, R * (S ** (-0.5)))

sklearn/tests/test_discriminant_analysis.py::test_qda_regularization
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/discriminant_analysis.py:1055: RuntimeWarning: divide by zero encountered in log
    u = np.asarray([np.sum(np.log(s)) for s in self.scalings_])

sklearn/tests/test_metaestimators.py: 1 warning
sklearn/tests/test_metaestimators_metadata_routing.py: 30 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/semi_supervised/_self_training.py:284: UserWarning: y contains no unlabeled samples
    warnings.warn("y contains no unlabeled samples", UserWarning)

sklearn/tests/test_metaestimators.py::test_meta_estimators_delegate_data_validation[HalvingRandomSearchCV0]
sklearn/tests/test_metaestimators.py::test_meta_estimators_delegate_data_validation[HalvingRandomSearchCV2]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:317: UserWarning: The total space of parameters 2 is smaller than n_iter=3. Running 2 iterations. For exhaustive searches, use GridSearchCV.
    warnings.warn(

sklearn/tests/test_metaestimators_metadata_routing.py::test_setting_request_on_sub_estimator_removes_error[HalvingRandomSearchCV]
sklearn/tests/test_metaestimators_metadata_routing.py::test_setting_request_on_sub_estimator_removes_error[HalvingRandomSearchCV]
sklearn/tests/test_metaestimators_metadata_routing.py::test_non_consuming_estimator_works[HalvingRandomSearchCV]
sklearn/tests/test_metaestimators_metadata_routing.py::test_metadata_is_routed_correctly_to_scorer[HalvingRandomSearchCV]
sklearn/tests/test_metaestimators_metadata_routing.py::test_metadata_is_routed_correctly_to_scorer[HalvingRandomSearchCV]
sklearn/tests/test_metaestimators_metadata_routing.py::test_metadata_is_routed_correctly_to_splitter[HalvingRandomSearchCV]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:317: UserWarning: The total space of parameters 2 is smaller than n_iter=8. Running 2 iterations. For exhaustive searches, use GridSearchCV.
    warnings.warn(

sklearn/tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[HalvingRandomSearchCV]
sklearn/tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[HalvingRandomSearchCV]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:317: UserWarning: The total space of parameters 2 is smaller than n_iter=4. Running 2 iterations. For exhaustive searches, use GridSearchCV.
    warnings.warn(

sklearn/tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[GraphicalLassoCV]
sklearn/tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[GraphicalLassoCV]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py:960: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
  Traceback (most recent call last):
    File "/builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py", line 949, in _score
      scores = scorer(estimator, X_test, y_test, **score_params)
    File "/builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_scorer.py", line 288, in __call__
      return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)
             ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    File "/builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_scorer.py", line 379, in _score
      response_method = _check_response_method(estimator, self._response_method)
    File "/builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/validation.py", line 2283, in _check_response_method
      raise AttributeError(
      ...<2 lines>...
      )
  AttributeError: GraphicalLassoCV has none of the following attributes: predict.
  
    warnings.warn(

sklearn/tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[SequentialFeatureSelector]
sklearn/tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[SequentialFeatureSelector]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py:960: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
  Traceback (most recent call last):
    File "/builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py", line 949, in _score
      scores = scorer(estimator, X_test, y_test, **score_params)
    File "/builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_scorer.py", line 288, in __call__
      return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)
             ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    File "/builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_scorer.py", line 379, in _score
      response_method = _check_response_method(estimator, self._response_method)
    File "/builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/validation.py", line 2283, in _check_response_method
      raise AttributeError(
      ...<2 lines>...
      )
  AttributeError: SequentialFeatureSelector has none of the following attributes: predict.
  
    warnings.warn(

sklearn/tests/test_multiclass.py::test_constant_int_target[ones]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/multiclass.py:90: UserWarning: Label not 1 is present in all training examples.
    warnings.warn(

sklearn/tests/test_multiclass.py::test_constant_int_target[zeros]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/multiclass.py:90: UserWarning: Label not 0 is present in all training examples.
    warnings.warn(

sklearn/tests/test_naive_bayes.py::test_alpha_vector
sklearn/tests/test_naive_bayes.py::test_alpha_vector
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/naive_bayes.py:623: UserWarning: alpha too small will result in numeric errors, setting alpha = 1.0e-10. Use `force_alpha=True` to keep alpha unchanged.
    warnings.warn(

sklearn/tree/tests/test_tree.py: 14 warnings
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/tree/_classes.py:1088: RuntimeWarning: divide by zero encountered in log
    proba[k] = np.log(proba[k])

sklearn/tree/tests/test_tree.py::test_big_input
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/_array_api.py:832: RuntimeWarning: overflow encountered in cast
    array = numpy.asarray(array, order=order, dtype=dtype)

sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None]
sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_matrix]
sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_array]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/tree/tests/test_tree.py:1794: RuntimeWarning: overflow encountered in cast
    data = np.nan_to_num(data.astype("float32"))

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator
sklearn/utils/tests/test_estimator_checks.py::test_check_estimator
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:871: SkipTestWarning: Skipping check check_sample_weights_pandas_series for LogisticRegression because it raised SkipTest: pandas is not installed: not testing for input of type pandas.Series to class weight.
    warnings.warn(

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator
sklearn/utils/tests/test_estimator_checks.py::test_check_estimator
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:871: SkipTestWarning: Skipping check check_classifier_data_not_an_array for LogisticRegression because it raised SkipTest: pandas is not installed: not checking estimators for pandas objects.
    warnings.warn(

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:871: SkipTestWarning: Skipping check check_regressor_data_not_an_array for MultiTaskElasticNet because it raised SkipTest: pandas is not installed: not checking estimators for pandas objects.
    warnings.warn(

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:871: SkipTestWarning: Skipping check check_classifier_data_not_an_array for TaggedBinaryClassifier because it raised SkipTest: pandas is not installed: not checking estimators for pandas objects.
    warnings.warn(

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:871: SkipTestWarning: Skipping check check_regressor_data_not_an_array for RequiresPositiveXRegressor because it raised SkipTest: pandas is not installed: not checking estimators for pandas objects.
    warnings.warn(

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:871: SkipTestWarning: Skipping check check_regressor_data_not_an_array for RequiresPositiveYRegressor because it raised SkipTest: pandas is not installed: not checking estimators for pandas objects.
    warnings.warn(

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:871: SkipTestWarning: Skipping check check_sample_weights_pandas_series for PoorScoreLogisticRegression because it raised SkipTest: pandas is not installed: not testing for input of type pandas.Series to class weight.
    warnings.warn(

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:871: SkipTestWarning: Skipping check check_classifier_data_not_an_array for PoorScoreLogisticRegression because it raised SkipTest: pandas is not installed: not checking estimators for pandas objects.
    warnings.warn(

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:871: SkipTestWarning: Skipping check check_sample_weights_pandas_series for LinearRegression because it raised SkipTest: pandas is not installed: not testing for input of type pandas.Series to class weight.
    warnings.warn(

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:871: SkipTestWarning: Skipping check check_regressor_data_not_an_array for LinearRegression because it raised SkipTest: pandas is not installed: not checking estimators for pandas objects.
    warnings.warn(

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:871: SkipTestWarning: Skipping check check_sample_weights_pandas_series for SGDClassifier because it raised SkipTest: pandas is not installed: not testing for input of type pandas.Series to class weight.
    warnings.warn(

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:871: SkipTestWarning: Skipping check check_classifier_data_not_an_array for SGDClassifier because it raised SkipTest: pandas is not installed: not checking estimators for pandas objects.
    warnings.warn(

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:871: SkipTestWarning: Skipping check check_array_api_input for PCA because it raised SkipTest: array_api_compat is not installed: not checking array_api input
    warnings.warn(

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:871: SkipTestWarning: Skipping check check_array_api_input for PCA because it raised SkipTest: array_api_strict is not installed: not checking array_api input
    warnings.warn(

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:871: SkipTestWarning: Skipping check check_array_api_input for PCA because it raised SkipTest: cupy is not installed: not checking array_api input
    warnings.warn(

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:871: SkipTestWarning: Skipping check check_array_api_input for PCA because it raised SkipTest: torch is not installed: not checking array_api input
    warnings.warn(

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:871: SkipTestWarning: Skipping check check_sample_weights_pandas_series for MiniBatchKMeans because it raised SkipTest: pandas is not installed: not testing for input of type pandas.Series to class weight.
    warnings.warn(

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_pairwise
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:871: SkipTestWarning: Skipping check check_sample_weights_pandas_series for SVC because it raised SkipTest: pandas is not installed: not testing for input of type pandas.Series to class weight.
    warnings.warn(

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_pairwise
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:871: SkipTestWarning: Skipping check check_classifier_data_not_an_array for SVC because it raised SkipTest: pandas is not installed: not checking estimators for pandas objects.
    warnings.warn(

sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_pairwise
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:871: SkipTestWarning: Skipping check check_regressor_data_not_an_array for KNeighborsRegressor because it raised SkipTest: pandas is not installed: not checking estimators for pandas objects.
    warnings.warn(

sklearn/utils/tests/test_estimator_checks.py::test_non_deterministic_estimator_skip_tests
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:128: UserWarning: Estimator MinimalTransformer does not inherit from `sklearn.base.BaseEstimator`. This might lead to unexpected behavior, or even errors when collecting tests.
    warnings.warn(

sklearn/utils/tests/test_estimator_checks.py::test_non_deterministic_estimator_skip_tests
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:128: UserWarning: Estimator MyEstimator does not inherit from `sklearn.base.BaseEstimator`. This might lead to unexpected behavior, or even errors when collecting tests.
    warnings.warn(

sklearn/utils/tests/test_estimator_checks.py::test_non_deterministic_estimator_skip_tests
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:128: UserWarning: Estimator MinimalRegressor does not inherit from `sklearn.base.BaseEstimator`. This might lead to unexpected behavior, or even errors when collecting tests.
    warnings.warn(

sklearn/utils/tests/test_estimator_checks.py::test_non_deterministic_estimator_skip_tests
sklearn/utils/tests/test_estimator_checks.py::test_yield_all_checks_legacy
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:128: UserWarning: Estimator MinimalClassifier does not inherit from `sklearn.base.BaseEstimator`. This might lead to unexpected behavior, or even errors when collecting tests.
    warnings.warn(

sklearn/utils/tests/test_optimize.py::test_newton_cg_verbosity[2]
sklearn/utils/tests/test_optimize.py::test_newton_cg_verbosity[2]
  /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/optimize.py:312: UserWarning: Line Search failed
    warnings.warn("Line Search failed")

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
= 31799 passed, 5540 skipped, 41 deselected, 151 xfailed, 74 xpassed, 3454 warnings in 414.67s (0:06:54) =
RUNNING THE L-BFGS-B CODE

           * * *

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

           * * *

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

           * * *

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

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

           * * *

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

At X0         0 variables are exactly at the bounds

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

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

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

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

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

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

           * * *

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

           * * *

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

CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL            
 This problem is unconstrained.
 This problem is unconstrained.
+ popd
+ RPM_EC=0
~/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0
++ jobs -p
+ exit 0
Processing files: python3-scikit-learn-1.6.0-1.fc42.x86_64
Executing(%doc): /bin/sh -e /var/tmp/rpm-tmp.9noaz3
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.6.0-build
+ cd scikit_learn-1.6.0
+ DOCDIR=/builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/share/doc/python3-scikit-learn
+ export LC_ALL=C.UTF-8
+ LC_ALL=C.UTF-8
+ export DOCDIR
+ /usr/bin/mkdir -p /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/share/doc/python3-scikit-learn
+ cp -pr /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/examples /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/share/doc/python3-scikit-learn
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%license): /bin/sh -e /var/tmp/rpm-tmp.sm23Hy
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.6.0-build
+ cd scikit_learn-1.6.0
+ LICENSEDIR=/builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/share/licenses/python3-scikit-learn
+ export LC_ALL=C.UTF-8
+ LC_ALL=C.UTF-8
+ export LICENSEDIR
+ /usr/bin/mkdir -p /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/share/licenses/python3-scikit-learn
+ cp -pr /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/COPYING /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/share/licenses/python3-scikit-learn
+ cp -pr /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/svm/src/liblinear/COPYRIGHT /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/share/licenses/python3-scikit-learn
+ RPM_EC=0
++ jobs -p
+ exit 0
Provides: python-scikit-learn = 1.6.0-1.fc42 python-sklearn = 1.6.0-1.fc42 python3-scikit-learn = 1.6.0-1.fc42 python3-scikit-learn(x86-64) = 1.6.0-1.fc42 python3.13-scikit-learn = 1.6.0-1.fc42 python3.13-sklearn = 1.6.0-1.fc42 python3.13dist(scikit-learn) = 1.6 python3dist(scikit-learn) = 1.6
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 < 1.6.0-1.fc42 python3-scikit_learn < 1.5.2-2
Processing files: python-scikit-learn-debugsource-1.6.0-1.fc42.x86_64
Provides: python-scikit-learn-debugsource = 1.6.0-1.fc42 python-scikit-learn-debugsource(x86-64) = 1.6.0-1.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-1.6.0-1.fc42.x86_64
Provides: debuginfo(build-id) = 08971dce7dead981db009ca80600907edcbbd441 debuginfo(build-id) = 0c81a6699a222b11a6804a0c0ca26b230454f17e debuginfo(build-id) = 191685e415b2ff8f881641d42388e8335c2edcc5 debuginfo(build-id) = 1c308b88adec23b167f944eda72275213892acfb debuginfo(build-id) = 1cdf2a38a132bc448ce74607c49ec9e0ff32a29a debuginfo(build-id) = 225a4c6fd725e26588be343404bef6d7d9dea47b debuginfo(build-id) = 2c28b99012a789ef15b563a25fa5c08e1a1a50e0 debuginfo(build-id) = 2f5824d1a7eedf59601363ed8b97a9892891f54f debuginfo(build-id) = 3803f5906682a4bc4051e05f3223084e56e6b91a debuginfo(build-id) = 3ac71ce83aff4622751146f7ca537223b95420f2 debuginfo(build-id) = 3b5e080fb81bdaa0eb4c5cc2b61053dea74f831e debuginfo(build-id) = 3def830535779fe983f88e3e9b1fbe877848692e debuginfo(build-id) = 3f2956fd3f501aa42f6a68ac1e948efd8f21b14c debuginfo(build-id) = 3f4772da32392335d941cd3a02ab679fb0f2f384 debuginfo(build-id) = 4a5b622bfdcd0a623b70e039105b2dbc28b49633 debuginfo(build-id) = 519fafd8cc6afd05a72a7f4031f5371d73857c3b debuginfo(build-id) = 533f5688b740578d55f0cd82a30e73f71910a3bc debuginfo(build-id) = 55576d7060a554aa3b8482523ff39936f6610a4d debuginfo(build-id) = 5bb654e71cdcfa73151519fb3ed3de7c1c8e487d debuginfo(build-id) = 5d9916e62b44b0bac9e7fb6702074620d16d1226 debuginfo(build-id) = 605a136506caa61ef7c4007db1fdd7289b0c062c debuginfo(build-id) = 618f8b9bdac4ec4ba4ecf491cd6f56d6b6e0a610 debuginfo(build-id) = 634573c25da80cd22313c499c77d095db48033d9 debuginfo(build-id) = 63fd23f07ee2e2c1884afef5f5a5fe54903dc645 debuginfo(build-id) = 659f9889abc60f994f5abf9569dae3056d766738 debuginfo(build-id) = 65ed95f9e2ec074c73332e01707d976abdefe431 debuginfo(build-id) = 66efb001eaeedbd795c22a4297d0f2e7e75b7667 debuginfo(build-id) = 67b55460895afd40170c7ae0b316fa865fefc2ca debuginfo(build-id) = 67f8d4b0933dc2af42495dc1b536f807ffa43046 debuginfo(build-id) = 726e509d7d6ec4cd63c07d8a67095c8b23f6c4ef debuginfo(build-id) = 76a0f8e5dc758d91f9f33dd8e66ebc2749e947f8 debuginfo(build-id) = 7ed0c1dfca71d2fb1ff26a9a4dfce3745d8cd9e9 debuginfo(build-id) = 7f7198ac4ecebcda6e86b863a1a3ea15a9b08a43 debuginfo(build-id) = 8011c914554838abf6b19c37b41c398f9c7e8c30 debuginfo(build-id) = 8125887873fc79d5c1892aa9b494b667e173bdce debuginfo(build-id) = 8ffe9d133393c90c6ac1afdc33c0910c386e879d debuginfo(build-id) = 92e42f1cec5227b2e6b5cff58295c2e4293b25c0 debuginfo(build-id) = 95b3d32f9c595385a1e9578ee4be4389f9d00627 debuginfo(build-id) = 98aad5071f6ff7b7100a5bc3201e03d3e796e9ce debuginfo(build-id) = 9d414d383285dd38fcd57b5b3f9a3f6880bfb598 debuginfo(build-id) = 9fb0e37dab6e2f7acdbdb71d90e47fc00c2c4cd9 debuginfo(build-id) = a7e44b3ac0cb9e7b7d853e6710fde0e4e2e8462b debuginfo(build-id) = ab8033109f6e563f30543bcd5e71ded5cc4d0fd2 debuginfo(build-id) = b1cd3735548d8a23875d85b1b4ae612d981f8fa5 debuginfo(build-id) = b32b6f6c18e1da56dd62c0af70ccc25259f35c23 debuginfo(build-id) = b355aa1a82b6338d18d0c89c9f656605c1367e69 debuginfo(build-id) = b5092667d484d045d16d4da3eea7fa1a603405fc debuginfo(build-id) = b6df14005bd6339024d617f1188a2a5e93284755 debuginfo(build-id) = b83459843deb9c9c301f5c4ba2f28a769c9c0354 debuginfo(build-id) = bb30988a3a7c0148552daafd1bf8ce5d7bed115a debuginfo(build-id) = c6a572ca746569e0a671f0891a0d18431ee4bd43 debuginfo(build-id) = c89d3a137b4c5f3254e88d8087baffb4a4c0a370 debuginfo(build-id) = c913fce84ab759488fa1b67a7a071b4b547654e5 debuginfo(build-id) = d2a1ece3975f660fc83f6b6c2547e9b3d8d8a5fa debuginfo(build-id) = d4f17e8cad2185ac7ad7f104652e9ce5e3b2bf97 debuginfo(build-id) = d76b9e0f474205afca520cf9996660d256f4b0a3 debuginfo(build-id) = dc44395d28a0208d10f23f2d8c2664b6e99e8f5e debuginfo(build-id) = dd36377535655706b3e092256a3cbf563dd9ef38 debuginfo(build-id) = e35292e9b5bdf1d7fb8474692e7e55bc64a70e27 debuginfo(build-id) = e3dbafedc5ee72826df419dd21eaed6651b9185d debuginfo(build-id) = e5a9e433b5dc5bdee79e2eb09349d10203bcf0ef debuginfo(build-id) = e795411435638e01b057f805f8474162e4192ece debuginfo(build-id) = e8e163388db333e076f4f07c1fcf837bf48a66ff debuginfo(build-id) = ea515ec2e7dd691757f0fb7c2ad83a38ea8f699d debuginfo(build-id) = f0aa3a8d208827d2c63fb57e53d60024edbeef98 debuginfo(build-id) = f0eb0540122d7b020ae1de5ec1c4d1c3bcc3c0f8 debuginfo(build-id) = f4711120e8abfa35c3b620b4785094e06d1778cb debuginfo(build-id) = fbbf2cb9b7c15f37204ca3d8859f0498698857e2 python-scikit-learn-debuginfo = 1.6.0-1.fc42 python3-scikit-learn-debuginfo = 1.6.0-1.fc42 python3-scikit-learn-debuginfo(x86-64) = 1.6.0-1.fc42 python3.13-scikit-learn-debuginfo = 1.6.0-1.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) = 1.6.0-1.fc42
Checking for unpackaged file(s): /usr/lib/rpm/check-files /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT
Wrote: /builddir/build/SRPMS/python-scikit-learn-1.6.0-1.fc42.src.rpm
Wrote: /builddir/build/RPMS/python-scikit-learn-debugsource-1.6.0-1.fc42.x86_64.rpm
Wrote: /builddir/build/RPMS/python3-scikit-learn-1.6.0-1.fc42.x86_64.rpm
Wrote: /builddir/build/RPMS/python3-scikit-learn-debuginfo-1.6.0-1.fc42.x86_64.rpm
Executing(rmbuild): /bin/sh -e /var/tmp/rpm-tmp.MKIWEh
+ umask 022
+ cd /builddir/build/BUILD/python-scikit-learn-1.6.0-build
+ test -d /builddir/build/BUILD/python-scikit-learn-1.6.0-build
+ /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w /builddir/build/BUILD/python-scikit-learn-1.6.0-build
+ rm -rf /builddir/build/BUILD/python-scikit-learn-1.6.0-build
+ RPM_EC=0
++ jobs -p
+ exit 0
Finish: rpmbuild python-scikit-learn-1.6.0-1.fc42.src.rpm
Finish: build phase for python-scikit-learn-1.6.0-1.fc42.src.rpm
INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan
INFO: /var/lib/mock/fedora-rawhide-x86_64-1734571108.895355/root/var/log/dnf5.log
INFO: chroot_scan: creating tarball /var/lib/copr-rpmbuild/results/chroot_scan.tar.gz
/bin/tar: Removing leading `/' from member names
INFO: Done(/var/lib/copr-rpmbuild/results/python-scikit-learn-1.6.0-1.fc42.src.rpm) Config(child) 14 minutes 11 seconds
INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results
INFO: Cleaning up build root ('cleanup_on_success=True')
Start: clean chroot
INFO: unmounting tmpfs.
Finish: clean chroot
Finish: run
Running RPMResults tool
Package info:
{
    "packages": [
        {
            "name": "python-scikit-learn-debugsource",
            "epoch": null,
            "version": "1.6.0",
            "release": "1.fc42",
            "arch": "x86_64"
        },
        {
            "name": "python3-scikit-learn-debuginfo",
            "epoch": null,
            "version": "1.6.0",
            "release": "1.fc42",
            "arch": "x86_64"
        },
        {
            "name": "python-scikit-learn",
            "epoch": null,
            "version": "1.6.0",
            "release": "1.fc42",
            "arch": "src"
        },
        {
            "name": "python3-scikit-learn",
            "epoch": null,
            "version": "1.6.0",
            "release": "1.fc42",
            "arch": "x86_64"
        }
    ]
}
RPMResults finished