Warning: Permanently added '2620:52:3:1:dead:beef:cafe:c297' (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/8418973-fedora-rawhide-ppc64le --chroot fedora-rawhide-ppc64le Version: 1.2 PID: 10604 Logging PID: 10605 Task: {'allow_user_ssh': False, 'appstream': False, 'background': True, 'build_id': 8418973, 'buildroot_pkgs': [], 'chroot': 'fedora-rawhide-ppc64le', 'enable_net': False, 'fedora_review': False, 'git_hash': 'ed4e42c0b0f2cdba652db0f9b380f4427b3cda8e', 'git_repo': 'https://copr-dist-git.fedorainfracloud.org/git/psimovec/scipy-1.8.3/python-scikit-learn', 'isolation': 'default', 'memory_reqs': 2048, 'package_name': 'python-scikit-learn', 'package_version': '1.6.0-1', 'project_dirname': 'scipy-1.8.3', 'project_name': 'scipy-1.8.3', 'project_owner': 'psimovec', 'repo_priority': None, 'repos': [{'baseurl': 'https://download.copr.fedorainfracloud.org/results/psimovec/scipy-1.8.3/fedora-rawhide-ppc64le/', 'id': 'copr_base', 'name': 'Copr repository', 'priority': None}, {'baseurl': 'http://kojipkgs.fedoraproject.org/repos/rawhide/latest/$basearch/', 'id': 'http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch', 'name': 'Additional repo http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch'}], 'sandbox': 'psimovec/scipy-1.8.3--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': '8418973-fedora-rawhide-ppc64le', 'timeout': 18000, 'uses_devel_repo': False, 'with_opts': [], 'without_opts': []} Running: git clone https://copr-dist-git.fedorainfracloud.org/git/psimovec/scipy-1.8.3/python-scikit-learn /var/lib/copr-rpmbuild/workspace/workdir-4h45jg6x/python-scikit-learn --depth 500 --no-single-branch --recursive cmd: ['git', 'clone', 'https://copr-dist-git.fedorainfracloud.org/git/psimovec/scipy-1.8.3/python-scikit-learn', '/var/lib/copr-rpmbuild/workspace/workdir-4h45jg6x/python-scikit-learn', '--depth', '500', '--no-single-branch', '--recursive'] cwd: . rc: 0 stdout: stderr: Cloning into '/var/lib/copr-rpmbuild/workspace/workdir-4h45jg6x/python-scikit-learn'... Running: git checkout ed4e42c0b0f2cdba652db0f9b380f4427b3cda8e -- cmd: ['git', 'checkout', 'ed4e42c0b0f2cdba652db0f9b380f4427b3cda8e', '--'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-4h45jg6x/python-scikit-learn rc: 0 stdout: stderr: Note: switching to 'ed4e42c0b0f2cdba652db0f9b380f4427b3cda8e'. 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 Or undo this operation with: git switch - Turn off this advice by setting config variable advice.detachedHead to false HEAD is now at ed4e42c automatic import of python-scikit-learn Running: dist-git-client sources cmd: ['dist-git-client', 'sources'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-4h45jg6x/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/psimovec/scipy-1.8.3/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 /usr/bin/tail: /var/lib/copr-rpmbuild/main.log: file truncated 100 6909k 100 6909k 0 0 421k 0 0:00:16 0:00:16 --:--:-- 119k INFO: Reading stdout from command: md5sum scikit_learn-1.6.0.tar.gz Running (timeout=18000): unbuffer mock --spec /var/lib/copr-rpmbuild/workspace/workdir-4h45jg6x/python-scikit-learn/python-scikit-learn.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-4h45jg6x/python-scikit-learn --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1734619121.128451 -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-4h45jg6x/python-scikit-learn/python-scikit-learn.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-4h45jg6x/python-scikit-learn --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1734619121.128451 -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-4h45jg6x/python-scikit-learn/python-scikit-learn.spec) Config(fedora-rawhide-ppc64le) 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-ppc64le-bootstrap-1734619121.128451/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-ppc64le-bootstrap-1734619121.128451/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/8d85a2b4504a7d5ca3455e7e14d89fbdb55c350a74eb42a53fa3b166a27563e1/merged INFO: umounting image registry.fedoraproject.org/fedora:rawhide (/var/lib/containers/storage/overlay/8d85a2b4504a7d5ca3455e7e14d89fbdb55c350a74eb42a53fa3b166a27563e1/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-ppc64le-1734619121.128451/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.ppc64le rpm-sequoia-1.7.0-3.fc42.ppc64le dnf5-5.2.8.1-2.fc42.ppc64le dnf5-plugins-5.2.8.1-2.fc42.ppc64le Start: installing minimal buildroot with dnf5 Updating and loading repositories: fedora 100% | 13.5 MiB/s | 20.0 MiB | 00m01s Copr repository 100% | 2.3 MiB/s | 371.6 KiB | 00m00s Additional repo http_kojipkgs_fedorapr 100% | 50.1 MiB/s | 14.0 MiB | 00m00s Repositories loaded. 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ppc64le 2.40.2-8.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 17.2 MiB which ppc64le 2.21-42.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 248.0 KiB xz ppc64le 1:5.6.3-2.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.5 MiB Installing dependencies: add-determinism ppc64le 0.4.3-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.6 MiB alternatives ppc64le 1.31-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 88.7 KiB ansible-srpm-macros noarch 1-16.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 35.7 KiB audit-libs ppc64le 4.0.2-1.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 675.2 KiB authselect ppc64le 1.5.0-8.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 309.4 KiB authselect-libs ppc64le 1.5.0-8.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 931.7 KiB basesystem noarch 11-21.fc41 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http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 3.5 MiB debugedit ppc64le 5.1-2.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 308.1 KiB dwz ppc64le 0.15-8.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 450.8 KiB ed ppc64le 1.20.2-2.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 282.8 KiB efi-srpm-macros noarch 5-13.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 40.2 KiB elfutils ppc64le 0.192-7.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 3.4 MiB elfutils-debuginfod-client ppc64le 0.192-7.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 140.9 KiB elfutils-default-yama-scope noarch 0.192-7.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.8 KiB elfutils-libelf ppc64le 0.192-7.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.2 MiB elfutils-libs ppc64le 0.192-7.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 862.5 KiB fedora-gpg-keys noarch 42-0.3 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 126.4 KiB fedora-release noarch 42-0.11 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 0.0 B fedora-release-identity-basic noarch 42-0.11 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 719.0 B fedora-repos noarch 42-0.3 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 4.9 KiB fedora-repos-rawhide noarch 42-0.3 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.2 KiB file ppc64le 5.45-8.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 139.5 KiB file-libs ppc64le 5.45-8.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 10.0 MiB filesystem ppc64le 3.18-29.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 106.0 B fonts-srpm-macros noarch 1:2.0.5-17.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 55.8 KiB 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lz4-libs ppc64le 1.10.0-1.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 325.2 KiB mpfr ppc64le 4.2.1-5.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 976.9 KiB ncurses-base noarch 6.5-2.20240629.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 326.3 KiB ncurses-libs ppc64le 6.5-2.20240629.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.4 MiB ocaml-srpm-macros noarch 10-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.9 KiB openblas-srpm-macros noarch 2-18.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 112.0 B openldap ppc64le 2.6.8-6.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 874.8 KiB openssl-libs ppc64le 1:3.2.2-8.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 8.6 MiB p11-kit ppc64le 0.25.5-4.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 3.1 MiB p11-kit-trust ppc64le 0.25.5-4.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 655.4 KiB package-notes-srpm-macros noarch 0.5-12.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.6 KiB pam ppc64le 1.7.0-3.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 4.2 MiB pam-libs ppc64le 1.7.0-3.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 286.9 KiB pcre2 ppc64le 10.44-1.fc41.1 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 968.8 KiB pcre2-syntax noarch 10.44-1.fc41.1 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 251.6 KiB perl-srpm-macros noarch 1-56.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 861.0 B pkgconf ppc64le 2.3.0-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 240.5 KiB pkgconf-m4 noarch 2.3.0-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 14.4 KiB pkgconf-pkg-config ppc64le 2.3.0-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 990.0 B popt ppc64le 1.19-7.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 272.8 KiB publicsuffix-list-dafsa noarch 20240107-4.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 67.5 KiB pyproject-srpm-macros noarch 1.16.3-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.9 KiB python-srpm-macros noarch 3.13-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 51.0 KiB qt5-srpm-macros noarch 5.15.15-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 500.0 B qt6-srpm-macros noarch 6.8.1-4.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 456.0 B readline ppc64le 8.2-11.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 881.0 KiB rpm ppc64le 4.20.0-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 4.8 MiB rpm-build-libs ppc64le 4.20.0-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 390.6 KiB rpm-libs ppc64le 4.20.0-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.2 MiB rpm-sequoia ppc64le 1.7.0-3.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.7 MiB rust-srpm-macros noarch 26.3-3.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 4.8 KiB setup noarch 2.15.0-5.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 720.7 KiB sqlite-libs ppc64le 3.47.2-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.8 MiB systemd-libs ppc64le 257-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.9 MiB util-linux-core ppc64le 2.40.2-8.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 6.2 MiB xxhash-libs ppc64le 0.8.2-4.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 211.9 KiB xz-libs ppc64le 1:5.6.3-2.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 394.1 KiB zig-srpm-macros noarch 1-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.1 KiB zip ppc64le 3.0-42.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 883.2 KiB zlib-ng-compat ppc64le 2.2.2-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 197.7 KiB zstd ppc64le 1.5.6-2.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.1 MiB Installing groups: Buildsystem building group Transaction Summary: Installing: 154 packages Total size of inbound packages is 56 MiB. Need to download 56 MiB. After this operation, 262 MiB extra will be used (install 262 MiB, remove 0 B). [ 1/154] bzip2-0:1.0.8-19.fc41.ppc64le 100% | 586.7 KiB/s | 53.4 KiB | 00m00s [ 2/154] coreutils-0:9.5-11.fc42.ppc64 100% | 10.3 MiB/s | 1.2 MiB | 00m00s [ 3/154] bash-0:5.2.37-1.fc42.ppc64le 100% | 13.9 MiB/s | 1.9 MiB | 00m00s [ 4/154] cpio-0:2.15-2.fc41.ppc64le 100% | 6.5 MiB/s | 292.9 KiB | 00m00s [ 5/154] diffutils-0:3.10-8.fc41.ppc64 100% | 16.0 MiB/s | 409.3 KiB | 00m00s [ 6/154] fedora-release-common-0:42-0. 100% | 1.3 MiB/s | 23.9 KiB | 00m00s [ 7/154] findutils-1:4.10.0-4.fc41.ppc 100% | 25.7 MiB/s | 579.3 KiB | 00m00s [ 8/154] gawk-0:5.3.0-4.fc41.ppc64le 100% | 32.2 MiB/s | 1.1 MiB | 00m00s [ 9/154] glibc-minimal-langpack-0:2.40 100% | 5.2 MiB/s | 121.9 KiB | 00m00s [ 10/154] grep-0:3.11-9.fc41.ppc64le 100% | 14.6 MiB/s | 299.4 KiB | 00m00s [ 11/154] gzip-0:1.13-2.fc41.ppc64le 100% | 8.6 MiB/s | 168.1 KiB | 00m00s [ 12/154] info-0:7.1.1-2.fc42.ppc64le 100% | 9.8 MiB/s | 201.4 KiB | 00m00s [ 13/154] patch-0:2.7.6-25.fc41.ppc64le 100% | 7.7 MiB/s | 142.1 KiB | 00m00s [ 14/154] redhat-rpm-config-0:296-1.fc4 100% | 4.1 MiB/s | 75.7 KiB | 00m00s [ 15/154] rpm-build-0:4.20.0-1.fc42.ppc 100% | 4.2 MiB/s | 77.3 KiB | 00m00s [ 16/154] sed-0:4.9-3.fc41.ppc64le 100% | 15.4 MiB/s | 314.8 KiB | 00m00s [ 17/154] unzip-0:6.0-65.fc42.ppc64le 100% | 9.9 MiB/s | 192.7 KiB | 00m00s [ 18/154] tar-2:1.35-4.fc41.ppc64le 100% | 28.5 MiB/s | 874.3 KiB | 00m00s [ 19/154] shadow-utils-2:4.17.0~rc1-1.f 100% | 29.6 MiB/s | 1.2 MiB | 00m00s [ 20/154] util-linux-0:2.40.2-8.fc42.pp 100% | 31.0 MiB/s | 1.2 MiB | 00m00s [ 21/154] which-0:2.21-42.fc41.ppc64le 100% | 1.2 MiB/s | 42.9 KiB | 00m00s [ 22/154] xz-1:5.6.3-2.fc42.ppc64le 100% | 15.7 MiB/s | 465.5 KiB | 00m00s [ 23/154] xz-libs-1:5.6.3-2.fc42.ppc64l 100% | 6.4 MiB/s | 124.7 KiB | 00m00s [ 24/154] audit-libs-0:4.0.2-1.fc41.ppc 100% | 7.3 MiB/s | 142.5 KiB | 00m00s [ 25/154] authselect-libs-0:1.5.0-8.fc4 100% | 10.2 MiB/s | 209.4 KiB | 00m00s [ 26/154] libblkid-0:2.40.2-8.fc42.ppc6 100% | 6.6 MiB/s | 141.6 KiB | 00m00s [ 27/154] glibc-0:2.40.9000-24.fc42.ppc 100% | 47.3 MiB/s | 3.1 MiB | 00m00s [ 28/154] libcap-ng-0:0.8.5-3.fc41.ppc6 100% | 963.7 KiB/s | 33.7 KiB | 00m00s [ 29/154] libfdisk-0:2.40.2-8.fc42.ppc6 100% | 5.4 MiB/s | 175.7 KiB | 00m00s [ 30/154] libmount-0:2.40.2-8.fc42.ppc6 100% | 8.7 MiB/s | 177.8 KiB | 00m00s [ 31/154] libselinux-0:3.8-0.rc1.2.fc42 100% | 5.6 MiB/s | 103.8 KiB | 00m00s [ 32/154] librtas-0:2.0.6-2.fc41.ppc64l 100% | 4.0 MiB/s | 81.3 KiB | 00m00s [ 33/154] libsmartcols-0:2.40.2-8.fc42. 100% | 5.4 MiB/s | 109.9 KiB | 00m00s [ 34/154] libuuid-0:2.40.2-8.fc42.ppc64 100% | 1.7 MiB/s | 30.5 KiB | 00m00s [ 35/154] ncurses-libs-0:6.5-2.20240629 100% | 17.6 MiB/s | 378.3 KiB | 00m00s [ 36/154] pam-0:1.7.0-3.fc42.ppc64le 100% | 21.7 MiB/s | 556.5 KiB | 00m00s [ 37/154] pam-libs-0:1.7.0-3.fc42.ppc64 100% | 3.0 MiB/s | 64.0 KiB | 00m00s [ 38/154] readline-0:8.2-11.fc42.ppc64l 100% | 11.2 MiB/s | 230.4 KiB | 00m00s [ 39/154] systemd-libs-0:257-1.fc42.ppc 100% | 26.9 MiB/s | 825.9 KiB | 00m00s [ 40/154] util-linux-core-0:2.40.2-8.fc 100% | 20.4 MiB/s | 565.1 KiB | 00m00s [ 41/154] zlib-ng-compat-0:2.2.2-1.fc42 100% | 3.0 MiB/s | 78.9 KiB | 00m00s [ 42/154] bzip2-libs-0:1.0.8-19.fc41.pp 100% | 2.5 MiB/s | 46.7 KiB | 00m00s [ 43/154] libacl-0:2.3.2-2.fc41.ppc64le 100% | 1.6 MiB/s | 27.3 KiB | 00m00s [ 44/154] libcap-0:2.71-1.fc42.ppc64le 100% | 5.0 MiB/s | 92.4 KiB | 00m00s [ 45/154] libgcc-0:14.2.1-6.fc42.ppc64l 100% | 6.3 MiB/s | 115.5 KiB | 00m00s [ 46/154] libattr-0:2.5.2-4.fc41.ppc64l 100% | 1.2 MiB/s | 18.9 KiB | 00m00s [ 47/154] libeconf-0:0.7.5-1.fc42.ppc64 100% | 2.2 MiB/s | 37.6 KiB | 00m00s [ 48/154] libsemanage-0:3.8-0.rc1.1.fc4 100% | 6.9 MiB/s | 128.0 KiB | 00m00s [ 49/154] libxcrypt-0:4.4.36-11.fc42.pp 100% | 7.0 MiB/s | 129.9 KiB | 00m00s [ 50/154] setup-0:2.15.0-5.fc41.noarch 100% | 7.6 MiB/s | 148.3 KiB | 00m00s [ 51/154] debugedit-0:5.1-2.fc42.ppc64l 100% | 4.4 MiB/s | 81.6 KiB | 00m00s [ 52/154] elfutils-0:0.192-7.fc42.ppc64 100% | 20.4 MiB/s | 521.7 KiB | 00m00s [ 53/154] elfutils-libelf-0:0.192-7.fc4 100% | 9.0 MiB/s | 213.1 KiB | 00m00s [ 54/154] file-0:5.45-8.fc42.ppc64le 100% | 2.5 MiB/s | 49.4 KiB | 00m00s [ 55/154] libarchive-0:3.7.7-1.fc42.ppc 100% | 21.3 MiB/s | 479.7 KiB | 00m00s [ 56/154] pkgconf-pkg-config-0:2.3.0-1. 100% | 523.0 KiB/s | 9.9 KiB | 00m00s [ 57/154] popt-0:1.19-7.fc41.ppc64le 100% | 3.7 MiB/s | 63.9 KiB | 00m00s [ 58/154] binutils-0:2.43.50-9.fc42.ppc 100% | 58.2 MiB/s | 6.5 MiB | 00m00s [ 59/154] rpm-0:4.20.0-1.fc42.ppc64le 100% | 11.1 MiB/s | 521.7 KiB | 00m00s [ 60/154] rpm-build-libs-0:4.20.0-1.fc4 100% | 3.0 MiB/s | 107.0 KiB | 00m00s [ 61/154] rpm-libs-0:4.20.0-1.fc42.ppc6 100% | 15.7 MiB/s | 353.8 KiB | 00m00s [ 62/154] zstd-0:1.5.6-2.fc41.ppc64le 100% | 22.4 MiB/s | 504.1 KiB | 00m00s [ 63/154] curl-0:8.11.1-2.fc42.ppc64le 100% | 11.6 MiB/s | 225.3 KiB | 00m00s [ 64/154] ansible-srpm-macros-0:1-16.fc 100% | 1.2 MiB/s | 20.8 KiB | 00m00s [ 65/154] build-reproducibility-srpm-ma 100% | 657.6 KiB/s | 11.2 KiB | 00m00s [ 66/154] glibc-gconv-extra-0:2.40.9000 100% | 43.7 MiB/s | 1.5 MiB | 00m00s [ 67/154] dwz-0:0.15-8.fc42.ppc64le 100% | 7.0 MiB/s | 144.0 KiB | 00m00s [ 68/154] efi-srpm-macros-0:5-13.fc42.n 100% | 976.6 KiB/s | 22.5 KiB | 00m00s [ 69/154] fonts-srpm-macros-1:2.0.5-17. 100% | 1.5 MiB/s | 27.0 KiB | 00m00s [ 70/154] forge-srpm-macros-0:0.4.0-1.f 100% | 1.1 MiB/s | 19.8 KiB | 00m00s [ 71/154] fpc-srpm-macros-0:1.3-13.fc41 100% | 398.1 KiB/s | 8.0 KiB | 00m00s [ 72/154] ghc-srpm-macros-0:1.9.2-1.fc4 100% | 569.8 KiB/s | 9.1 KiB | 00m00s [ 73/154] gnat-srpm-macros-0:6-6.fc41.n 100% | 526.6 KiB/s | 9.0 KiB | 00m00s [ 74/154] go-srpm-macros-0:3.6.0-5.fc42 100% | 1.6 MiB/s | 28.0 KiB | 00m00s [ 75/154] kernel-srpm-macros-0:1.0-24.f 100% | 519.4 KiB/s | 9.9 KiB | 00m00s [ 76/154] lua-srpm-macros-0:1-14.fc41.n 100% | 554.9 KiB/s | 8.9 KiB | 00m00s [ 77/154] ocaml-srpm-macros-0:10-3.fc41 100% | 541.1 KiB/s | 9.2 KiB | 00m00s [ 78/154] openblas-srpm-macros-0:2-18.f 100% | 453.8 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| 4.4 MiB/s | 84.7 KiB | 00m00s [ 92/154] authselect-0:1.5.0-8.fc42.ppc 100% | 7.3 MiB/s | 142.4 KiB | 00m00s [ 93/154] gdbm-1:1.23-7.fc41.ppc64le 100% | 8.4 MiB/s | 154.4 KiB | 00m00s [ 94/154] gdbm-libs-1:1.23-7.fc41.ppc64 100% | 3.3 MiB/s | 61.7 KiB | 00m00s [ 95/154] libpwquality-0:1.4.5-11.fc41. 100% | 6.0 MiB/s | 111.5 KiB | 00m00s [ 96/154] libtirpc-0:1.3.6-1.fc42.ppc64 100% | 4.4 MiB/s | 108.6 KiB | 00m00s [ 97/154] ca-certificates-0:2024.2.69_v 100% | 29.8 MiB/s | 944.5 KiB | 00m00s [ 98/154] crypto-policies-0:20241128-1. 100% | 4.0 MiB/s | 73.7 KiB | 00m00s [ 99/154] openssl-libs-1:3.2.2-8.fc42.p 100% | 42.4 MiB/s | 2.5 MiB | 00m00s [100/154] ncurses-base-0:6.5-2.20240629 100% | 2.3 MiB/s | 63.8 KiB | 00m00s [101/154] krb5-libs-0:1.21.3-3.fc42.ppc 100% | 26.5 MiB/s | 842.3 KiB | 00m00s [102/154] libcom_err-0:1.47.1-6.fc42.pp 100% | 1.3 MiB/s | 27.2 KiB | 00m00s [103/154] libsepol-0:3.8-0.rc1.1.fc42.p 100% | 16.7 MiB/s | 376.8 KiB | 00m00s [104/154] pcre2-0:10.44-1.fc41.1.ppc64l 100% | 12.9 MiB/s | 251.9 KiB | 00m00s [105/154] cracklib-0:2.9.11-6.fc41.ppc6 100% | 4.5 MiB/s | 83.7 KiB | 00m00s [106/154] libxml2-0:2.12.8-2.fc41.ppc64 100% | 34.1 MiB/s | 767.3 KiB | 00m00s [107/154] libzstd-0:1.5.6-2.fc41.ppc64l 100% | 16.4 MiB/s | 336.8 KiB | 00m00s [108/154] lz4-libs-0:1.10.0-1.fc41.ppc6 100% | 5.6 MiB/s | 97.7 KiB | 00m00s [109/154] keyutils-libs-0:1.6.3-4.fc41. 100% | 2.0 MiB/s | 32.8 KiB | 00m00s [110/154] libverto-0:0.3.2-9.fc41.ppc64 100% | 1.3 MiB/s | 22.2 KiB | 00m00s [111/154] glibc-common-0:2.40.9000-24.f 100% | 17.1 MiB/s | 402.5 KiB | 00m00s [112/154] basesystem-0:11-21.fc41.noarc 100% | 433.7 KiB/s | 7.4 KiB | 00m00s [113/154] filesystem-0:3.18-29.fc42.ppc 100% | 32.4 MiB/s | 1.1 MiB | 00m00s [114/154] gmp-1:6.3.0-2.fc41.ppc64le 100% | 12.6 MiB/s | 309.0 KiB | 00m00s [115/154] mpfr-0:4.2.1-5.fc41.ppc64le 100% | 13.3 MiB/s | 354.9 KiB | 00m00s [116/154] file-libs-0:5.45-8.fc42.ppc64 100% | 34.4 MiB/s | 774.1 KiB | 00m00s [117/154] fedora-repos-0:42-0.3.noarch 100% | 459.6 KiB/s | 9.2 KiB | 00m00s [118/154] elfutils-debuginfod-client-0: 100% | 2.4 MiB/s | 46.7 KiB | 00m00s [119/154] elfutils-libs-0:0.192-7.fc42. 100% | 12.8 MiB/s | 288.9 KiB | 00m00s [120/154] libstdc++-0:14.2.1-6.fc42.ppc 100% | 32.4 MiB/s | 1.0 MiB | 00m00s [121/154] libffi-0:3.4.6-3.fc42.ppc64le 100% | 1.6 MiB/s | 38.2 KiB | 00m00s [122/154] coreutils-common-0:9.5-11.fc4 100% | 38.1 MiB/s | 2.1 MiB | 00m00s [123/154] p11-kit-0:0.25.5-4.fc42.ppc64 100% | 17.5 MiB/s | 482.8 KiB | 00m00s [124/154] p11-kit-trust-0:0.25.5-4.fc42 100% | 6.9 MiB/s | 149.4 KiB | 00m00s [125/154] alternatives-0:1.31-1.fc42.pp 100% | 2.3 MiB/s | 41.9 KiB | 00m00s [126/154] add-determinism-0:0.4.3-1.fc4 100% | 30.7 MiB/s | 941.8 KiB | 00m00s [127/154] jansson-0:2.14-1.fc42.ppc64le 100% | 2.7 MiB/s | 50.5 KiB | 00m00s [128/154] lua-libs-0:5.4.7-1.fc42.ppc64 100% | 7.6 MiB/s | 148.1 KiB | 00m00s [129/154] sqlite-libs-0:3.47.2-1.fc42.p 100% | 23.5 MiB/s | 792.8 KiB | 00m00s [130/154] rpm-sequoia-0:1.7.0-3.fc42.pp 100% | 23.5 MiB/s | 914.4 KiB | 00m00s [131/154] libgomp-0:14.2.1-6.fc42.ppc64 100% | 12.5 MiB/s | 370.0 KiB | 00m00s [132/154] pcre2-syntax-0:10.44-1.fc41.1 100% | 8.6 MiB/s | 149.9 KiB | 00m00s [133/154] libtasn1-0:4.19.0-9.fc41.ppc6 100% | 4.6 MiB/s | 79.3 KiB | 00m00s [134/154] fedora-gpg-keys-0:42-0.3.noar 100% | 7.1 MiB/s | 123.4 KiB | 00m00s [135/154] fedora-repos-rawhide-0:42-0.3 100% | 547.7 KiB/s | 8.8 KiB | 00m00s [136/154] elfutils-default-yama-scope-0 100% | 733.2 KiB/s | 12.5 KiB | 00m00s [137/154] json-c-0:0.18-1.fc42.ppc64le 100% | 2.8 MiB/s | 48.9 KiB | 00m00s [138/154] fedora-release-0:42-0.11.noar 100% | 763.6 KiB/s | 13.0 KiB | 00m00s [139/154] xxhash-libs-0:0.8.2-4.fc42.pp 100% | 2.1 MiB/s | 37.2 KiB | 00m00s [140/154] fedora-release-identity-basic 100% | 765.9 KiB/s | 13.8 KiB | 00m00s [141/154] libcurl-0:8.11.1-2.fc42.ppc64 100% | 13.9 MiB/s | 399.3 KiB | 00m00s [142/154] libbrotli-0:1.1.0-5.fc41.ppc6 100% | 14.9 MiB/s | 382.0 KiB | 00m00s [143/154] libidn2-0:2.3.7-2.fc41.ppc64l 100% | 5.9 MiB/s | 115.1 KiB | 00m00s [144/154] gdb-minimal-0:15.2-4.fc42.ppc 100% | 50.8 MiB/s | 4.3 MiB | 00m00s [145/154] libnghttp2-0:1.64.0-1.fc42.pp 100% | 3.0 MiB/s | 85.8 KiB | 00m00s [146/154] libpsl-0:0.21.5-4.fc41.ppc64l 100% | 2.4 MiB/s | 65.7 KiB | 00m00s [147/154] libssh-0:0.11.1-1.fc42.ppc64l 100% | 12.9 MiB/s | 263.2 KiB | 00m00s [148/154] openldap-0:2.6.8-6.fc42.ppc64 100% | 12.8 MiB/s | 274.7 KiB | 00m00s [149/154] cyrus-sasl-lib-0:2.1.28-27.fc 100% | 29.7 MiB/s | 883.1 KiB | 00m00s [150/154] libtool-ltdl-0:2.5.4-1.fc42.p 100% | 2.0 MiB/s | 37.6 KiB | 00m00s [151/154] libevent-0:2.1.12-14.fc41.ppc 100% | 12.2 MiB/s | 274.8 KiB | 00m00s [152/154] libssh-config-0:0.11.1-1.fc42 100% | 552.1 KiB/s | 9.4 KiB | 00m00s [153/154] publicsuffix-list-dafsa-0:202 100% | 3.2 MiB/s | 58.3 KiB | 00m00s [154/154] libunistring-0:1.1-8.fc41.ppc 100% | 24.4 MiB/s | 575.2 KiB | 00m00s -------------------------------------------------------------------------------- [154/154] Total 100% | 40.8 MiB/s | 55.5 MiB | 00m01s Running transaction [ 1/156] Verify package files 100% | 250.0 B/s | 154.0 B | 00m01s [ 2/156] Prepare transaction 100% | 1.4 KiB/s | 154.0 B | 00m00s [ 3/156] Installing libgcc-0:14.2.1-6. 100% | 93.7 MiB/s | 287.9 KiB | 00m00s [ 4/156] Installing publicsuffix-list- 100% | 66.7 MiB/s | 68.3 KiB | 00m00s [ 5/156] Installing libssh-config-0:0. 100% | 0.0 B/s | 816.0 B | 00m00s [ 6/156] Installing fedora-release-ide 100% | 953.1 KiB/s | 976.0 B | 00m00s [ 7/156] Installing fedora-gpg-keys-0: 100% | 16.8 MiB/s | 172.2 KiB | 00m00s [ 8/156] Installing fedora-repos-rawhi 100% | 0.0 B/s | 2.4 KiB | 00m00s [ 9/156] Installing fedora-repos-0:42- 100% | 5.6 MiB/s | 5.7 KiB | 00m00s [ 10/156] Installing fedora-release-com 100% | 11.8 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% | 25.3 MiB/s | 726.1 KiB | 00m00s >>> [RPM] /etc/hosts created as /etc/hosts.rpmnew [ 13/156] Installing filesystem-0:3.18- 100% | 1.3 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 pcre2-syntax-0:10. 100% | 62.0 MiB/s | 254.1 KiB | 00m00s [ 16/156] Installing coreutils-common-0 100% | 99.0 MiB/s | 11.2 MiB | 00m00s [ 17/156] Installing ncurses-base-0:6.5 100% | 7.0 MiB/s | 351.7 KiB | 00m00s [ 18/156] Installing glibc-minimal-lang 100% | 0.0 B/s | 124.0 B | 00m00s [ 19/156] Installing ncurses-libs-0:6.5 100% | 78.5 MiB/s | 2.4 MiB | 00m00s [ 20/156] Installing glibc-0:2.40.9000- 100% | 113.4 MiB/s | 11.6 MiB | 00m00s [ 21/156] Installing bash-0:5.2.37-1.fc 100% | 135.5 MiB/s | 8.7 MiB | 00m00s [ 22/156] Installing glibc-common-0:2.4 100% | 99.8 MiB/s | 1.5 MiB | 00m00s [ 23/156] Installing glibc-gconv-extra- 100% | 128.4 MiB/s | 18.4 MiB | 00m00s [ 24/156] Installing zlib-ng-compat-0:2 100% | 96.9 MiB/s | 198.5 KiB | 00m00s [ 25/156] Installing xz-libs-1:5.6.3-2. 100% | 128.6 MiB/s | 395.2 KiB | 00m00s [ 26/156] Installing bzip2-libs-0:1.0.8 100% | 65.7 MiB/s | 201.8 KiB | 00m00s [ 27/156] Installing libuuid-0:2.40.2-8 100% | 96.9 MiB/s | 198.5 KiB | 00m00s [ 28/156] Installing readline-0:8.2-11. 100% | 143.7 MiB/s | 883.1 KiB | 00m00s [ 29/156] Installing popt-0:1.19-7.fc41 100% | 34.1 MiB/s | 279.4 KiB | 00m00s [ 30/156] Installing libblkid-0:2.40.2- 100% | 118.1 MiB/s | 483.8 KiB | 00m00s [ 31/156] Installing libattr-0:2.5.2-4. 100% | 96.3 MiB/s | 197.2 KiB | 00m00s [ 32/156] Installing libacl-0:2.3.2-2.f 100% | 13.7 MiB/s | 196.6 KiB | 00m00s [ 33/156] Installing libxcrypt-0:4.4.36 100% | 82.5 MiB/s | 337.8 KiB | 00m00s [ 34/156] Installing libzstd-0:1.5.6-2. 100% | 80.5 MiB/s | 989.2 KiB | 00m00s [ 35/156] Installing elfutils-libelf-0: 100% | 138.8 MiB/s | 1.2 MiB | 00m00s [ 36/156] Installing gmp-1:6.3.0-2.fc41 100% | 138.8 MiB/s | 852.5 KiB | 00m00s [ 37/156] Installing libstdc++-0:14.2.1 100% | 139.7 MiB/s | 3.8 MiB | 00m00s [ 38/156] Installing libeconf-0:0.7.5-1 100% | 39.2 MiB/s | 80.2 KiB | 00m00s [ 39/156] Installing gdbm-libs-1:1.23-7 100% | 139.1 MiB/s | 427.2 KiB | 00m00s [ 40/156] Installing mpfr-0:4.2.1-5.fc4 100% | 79.6 MiB/s | 978.6 KiB | 00m00s [ 41/156] Installing gawk-0:5.3.0-4.fc4 100% | 141.0 MiB/s | 4.5 MiB | 00m00s [ 42/156] Installing dwz-0:0.15-8.fc42. 100% | 110.4 MiB/s | 452.1 KiB | 00m00s [ 43/156] Installing unzip-0:6.0-65.fc4 100% | 180.4 MiB/s | 2.3 MiB | 00m00s [ 44/156] Installing file-libs-0:5.45-8 100% | 155.7 MiB/s | 10.0 MiB | 00m00s [ 45/156] Installing file-0:5.45-8.fc42 100% | 12.5 MiB/s | 140.9 KiB | 00m00s [ 46/156] Installing crypto-policies-0: 100% | 5.9 MiB/s | 163.7 KiB | 00m00s [ 47/156] Installing libcap-ng-0:0.8.5- 100% | 136.2 MiB/s | 418.4 KiB | 00m00s [ 48/156] Installing audit-libs-0:4.0.2 100% | 132.3 MiB/s | 677.3 KiB | 00m00s [ 49/156] Installing pam-libs-0:1.7.0-3 100% | 94.2 MiB/s | 289.3 KiB | 00m00s [ 50/156] Installing libcap-0:2.71-1.fc 100% | 62.7 MiB/s | 513.6 KiB | 00m00s [ 51/156] Installing systemd-libs-0:257 100% | 143.0 MiB/s | 2.9 MiB | 00m00s [ 52/156] Installing libsmartcols-0:2.4 100% | 115.4 MiB/s | 354.6 KiB | 00m00s [ 53/156] Installing libcom_err-0:1.47. 100% | 117.3 MiB/s | 240.2 KiB | 00m00s [ 54/156] Installing libsepol-0:3.8-0.r 100% | 130.3 MiB/s | 1.0 MiB | 00m00s [ 55/156] Installing pcre2-0:10.44-1.fc 100% | 157.9 MiB/s | 970.3 KiB | 00m00s [ 56/156] Installing libselinux-0:3.8-0 100% | 63.7 MiB/s | 260.7 KiB | 00m00s [ 57/156] Installing sed-0:4.9-3.fc41.p 100% | 89.6 MiB/s | 1.0 MiB | 00m00s [ 58/156] Installing findutils-1:4.10.0 100% | 108.6 MiB/s | 2.2 MiB | 00m00s [ 59/156] Installing grep-0:3.11-9.fc41 100% | 82.8 MiB/s | 1.2 MiB | 00m00s [ 60/156] Installing xz-1:5.6.3-2.fc42. 100% | 88.8 MiB/s | 1.5 MiB | 00m00s [ 61/156] Installing libmount-0:2.40.2- 100% | 134.1 MiB/s | 549.1 KiB | 00m00s [ 62/156] Installing lz4-libs-0:1.10.0- 100% | 106.2 MiB/s | 326.3 KiB | 00m00s [ 63/156] Installing libffi-0:3.4.6-3.f 100% | 107.1 MiB/s | 219.4 KiB | 00m00s [ 64/156] Installing alternatives-0:1.3 100% | 88.1 MiB/s | 90.2 KiB | 00m00s [ 65/156] Installing lua-libs-0:5.4.7-1 100% | 127.5 MiB/s | 522.2 KiB | 00m00s [ 66/156] Installing libtasn1-0:4.19.0- 100% | 113.7 MiB/s | 349.2 KiB | 00m00s [ 67/156] Installing p11-kit-0:0.25.5-4 100% | 98.3 MiB/s | 3.1 MiB | 00m00s [ 68/156] Installing libunistring-0:1.1 100% | 78.0 MiB/s | 1.9 MiB | 00m00s [ 69/156] Installing libidn2-0:2.3.7-2. 100% | 56.5 MiB/s | 462.8 KiB | 00m00s [ 70/156] Installing libpsl-0:0.21.5-4. 100% | 96.4 MiB/s | 197.3 KiB | 00m00s [ 71/156] Installing p11-kit-trust-0:0. 100% | 49.4 MiB/s | 657.1 KiB | 00m00s [ 72/156] Installing openssl-libs-1:3.2 100% | 127.2 MiB/s | 8.7 MiB | 00m00s [ 73/156] Installing coreutils-0:9.5-11 100% | 143.7 MiB/s | 9.5 MiB | 00m00s [ 74/156] Installing ca-certificates-0: 100% | 997.2 KiB/s | 2.4 MiB | 00m02s [ 75/156] Installing gzip-0:1.13-2.fc41 100% | 68.2 MiB/s | 558.4 KiB | 00m00s [ 76/156] Installing authselect-libs-0: 100% | 51.4 MiB/s | 946.6 KiB | 00m00s [ 77/156] Installing cracklib-0:2.9.11- 100% | 54.3 MiB/s | 945.6 KiB | 00m00s [ 78/156] Installing libpwquality-0:1.4 100% | 55.3 MiB/s | 1.1 MiB | 00m00s [ 79/156] Installing rpm-sequoia-0:1.7. 100% | 87.8 MiB/s | 2.7 MiB | 00m00s [ 80/156] Installing libevent-0:2.1.12- 100% | 105.7 MiB/s | 1.6 MiB | 00m00s [ 81/156] Installing zstd-0:1.5.6-2.fc4 100% | 137.7 MiB/s | 2.1 MiB | 00m00s [ 82/156] Installing util-linux-core-0: 100% | 134.8 MiB/s | 6.2 MiB | 00m00s [ 83/156] Installing tar-2:1.35-4.fc41. 100% | 114.0 MiB/s | 3.2 MiB | 00m00s [ 84/156] Installing libsemanage-0:3.8- 100% | 58.4 MiB/s | 418.8 KiB | 00m00s [ 85/156] Installing shadow-utils-2:4.1 100% | 79.4 MiB/s | 5.0 MiB | 00m00s [ 86/156] Installing zip-0:3.0-42.fc42. 100% | 108.3 MiB/s | 887.1 KiB | 00m00s [ 87/156] Installing gdbm-1:1.23-7.fc41 100% | 101.3 MiB/s | 933.2 KiB | 00m00s [ 88/156] Installing cyrus-sasl-lib-0:2 100% | 154.1 MiB/s | 3.5 MiB | 00m00s [ 89/156] Installing libfdisk-0:2.40.2- 100% | 149.5 MiB/s | 612.2 KiB | 00m00s [ 90/156] Installing bzip2-0:1.0.8-19.f 100% | 105.5 MiB/s | 432.0 KiB | 00m00s [ 91/156] Installing libxml2-0:2.12.8-2 100% | 139.8 MiB/s | 2.5 MiB | 00m00s [ 92/156] Installing libarchive-0:3.7.7 100% | 126.8 MiB/s | 1.3 MiB | 00m00s [ 93/156] Installing add-determinism-0: 100% | 136.7 MiB/s | 2.6 MiB | 00m00s [ 94/156] Installing build-reproducibil 100% | 0.0 B/s | 1.0 KiB | 00m00s [ 95/156] Installing sqlite-libs-0:3.47 100% | 127.9 MiB/s | 1.8 MiB | 00m00s [ 96/156] Installing rpm-libs-0:4.20.0- 100% | 144.5 MiB/s | 1.2 MiB | 00m00s [ 97/156] Installing ed-0:1.20.2-2.fc41 100% | 69.6 MiB/s | 285.1 KiB | 00m00s [ 98/156] Installing patch-0:2.7.6-25.f 100% | 95.7 MiB/s | 392.1 KiB | 00m00s [ 99/156] Installing elfutils-default-y 100% | 510.7 KiB/s | 2.0 KiB | 00m00s [100/156] Installing elfutils-libs-0:0. 100% | 120.6 MiB/s | 864.3 KiB | 00m00s [101/156] Installing cpio-0:2.15-2.fc41 100% | 101.7 MiB/s | 1.2 MiB | 00m00s [102/156] Installing diffutils-0:3.10-8 100% | 120.6 MiB/s | 2.2 MiB | 00m00s [103/156] Installing librtas-0:2.0.6-2. 100% | 44.4 MiB/s | 499.7 KiB | 00m00s [104/156] Installing libpkgconf-0:2.3.0 100% | 97.2 MiB/s | 199.1 KiB | 00m00s [105/156] Installing pkgconf-0:2.3.0-1. 100% | 79.1 MiB/s | 243.0 KiB | 00m00s [106/156] Installing keyutils-libs-0:1. 100% | 74.1 MiB/s | 227.5 KiB | 00m00s [107/156] Installing libverto-0:0.3.2-9 100% | 97.2 MiB/s | 199.0 KiB | 00m00s [108/156] Installing krb5-libs-0:1.21.3 100% | 123.9 MiB/s | 3.0 MiB | 00m00s [109/156] Installing libtirpc-0:1.3.6-1 100% | 68.0 MiB/s | 278.5 KiB | 00m00s [110/156] Installing pam-0:1.7.0-3.fc42 100% | 91.4 MiB/s | 4.3 MiB | 00m00s [111/156] Installing libssh-0:0.11.1-1. 100% | 126.9 MiB/s | 779.8 KiB | 00m00s [112/156] Installing jansson-0:2.14-1.f 100% | 108.6 MiB/s | 222.5 KiB | 00m00s [113/156] Installing libgomp-0:14.2.1-6 100% | 123.6 MiB/s | 632.8 KiB | 00m00s [114/156] Installing rpm-build-libs-0:4 100% | 127.4 MiB/s | 391.4 KiB | 00m00s [115/156] Installing json-c-0:0.18-1.fc 100% | 68.5 MiB/s | 140.4 KiB | 00m00s [116/156] Installing xxhash-libs-0:0.8. 100% | 104.2 MiB/s | 213.3 KiB | 00m00s [117/156] Installing libbrotli-0:1.1.0- 100% | 126.5 MiB/s | 1.3 MiB | 00m00s [118/156] Installing libnghttp2-0:1.64. 100% | 79.9 MiB/s | 327.2 KiB | 00m00s [119/156] Installing libtool-ltdl-0:2.5 100% | 45.5 MiB/s | 93.1 KiB | 00m00s [120/156] Installing openldap-0:2.6.8-6 100% | 85.8 MiB/s | 878.5 KiB | 00m00s [121/156] Installing libcurl-0:8.11.1-2 100% | 92.2 MiB/s | 1.0 MiB | 00m00s [122/156] Installing elfutils-debuginfo 100% | 46.6 MiB/s | 143.1 KiB | 00m00s [123/156] Installing binutils-0:2.43.50 100% | 136.6 MiB/s | 31.4 MiB | 00m00s [124/156] Installing elfutils-0:0.192-7 100% | 69.6 MiB/s | 3.4 MiB | 00m00s [125/156] Installing gdb-minimal-0:15.2 100% | 110.7 MiB/s | 15.2 MiB | 00m00s [126/156] Installing debugedit-0:5.1-2. 100% | 50.6 MiB/s | 310.8 KiB | 00m00s [127/156] Installing curl-0:8.11.1-2.fc 100% | 31.6 MiB/s | 518.4 KiB | 00m00s [128/156] Installing rpm-0:4.20.0-1.fc4 100% | 47.3 MiB/s | 3.4 MiB | 00m00s [129/156] Installing efi-srpm-macros-0: 100% | 20.1 MiB/s | 41.2 KiB | 00m00s [130/156] Installing lua-srpm-macros-0: 100% | 1.9 MiB/s | 1.9 KiB | 00m00s [131/156] Installing zig-srpm-macros-0: 100% | 1.6 MiB/s | 1.7 KiB | 00m00s [132/156] Installing pkgconf-m4-0:2.3.0 100% | 14.5 MiB/s | 14.8 KiB | 00m00s [133/156] Installing pkgconf-pkg-config 100% | 1.7 MiB/s | 1.8 KiB | 00m00s [134/156] Installing rust-srpm-macros-0 100% | 5.4 MiB/s | 5.6 KiB | 00m00s [135/156] Installing qt6-srpm-macros-0: 100% | 0.0 B/s | 732.0 B | 00m00s [136/156] Installing qt5-srpm-macros-0: 100% | 0.0 B/s | 776.0 B | 00m00s [137/156] Installing perl-srpm-macros-0 100% | 0.0 B/s | 1.1 KiB | 00m00s [138/156] Installing package-notes-srpm 100% | 2.0 MiB/s | 2.0 KiB | 00m00s [139/156] Installing openblas-srpm-macr 100% | 382.8 KiB/s | 392.0 B | 00m00s [140/156] Installing ocaml-srpm-macros- 100% | 2.1 MiB/s | 2.2 KiB | 00m00s [141/156] Installing kernel-srpm-macros 100% | 2.3 MiB/s | 2.3 KiB | 00m00s [142/156] Installing gnat-srpm-macros-0 100% | 1.2 MiB/s | 1.3 KiB | 00m00s [143/156] Installing ghc-srpm-macros-0: 100% | 0.0 B/s | 1.0 KiB | 00m00s [144/156] Installing fpc-srpm-macros-0: 100% | 0.0 B/s | 420.0 B | 00m00s [145/156] Installing ansible-srpm-macro 100% | 35.4 MiB/s | 36.2 KiB | 00m00s [146/156] Installing fonts-srpm-macros- 100% | 27.8 MiB/s | 57.0 KiB | 00m00s [147/156] Installing forge-srpm-macros- 100% | 39.3 MiB/s | 40.3 KiB | 00m00s [148/156] Installing go-srpm-macros-0:3 100% | 30.3 MiB/s | 62.0 KiB | 00m00s [149/156] Installing python-srpm-macros 100% | 50.9 MiB/s | 52.2 KiB | 00m00s [150/156] Installing redhat-rpm-config- 100% | 27.0 MiB/s | 193.2 KiB | 00m00s [151/156] Installing rpm-build-0:4.20.0 100% | 116.4 MiB/s | 1.4 MiB | 00m00s [152/156] Installing pyproject-srpm-mac 100% | 834.6 KiB/s | 2.5 KiB | 00m00s [153/156] Installing util-linux-0:2.40. 100% | 135.9 MiB/s | 17.3 MiB | 00m00s [154/156] Installing authselect-0:1.5.0 100% | 34.0 MiB/s | 313.8 KiB | 00m00s [155/156] Installing which-0:2.21-42.fc 100% | 61.1 MiB/s | 250.2 KiB | 00m00s [156/156] Installing info-0:7.1.1-2.fc4 100% | 228.2 KiB/s | 741.9 KiB | 00m03s Warning: skipped OpenPGP checks for 154 packages from repository: http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch Complete! Finish: installing minimal buildroot with dnf5 Start: creating root cache Finish: creating root cache Finish: chroot init INFO: Installed packages: INFO: add-determinism-0.4.3-1.fc42.ppc64le alternatives-1.31-1.fc42.ppc64le ansible-srpm-macros-1-16.fc41.noarch audit-libs-4.0.2-1.fc41.ppc64le authselect-1.5.0-8.fc42.ppc64le authselect-libs-1.5.0-8.fc42.ppc64le basesystem-11-21.fc41.noarch bash-5.2.37-1.fc42.ppc64le binutils-2.43.50-9.fc42.ppc64le build-reproducibility-srpm-macros-0.4.3-1.fc42.noarch bzip2-1.0.8-19.fc41.ppc64le bzip2-libs-1.0.8-19.fc41.ppc64le ca-certificates-2024.2.69_v8.0.401-3.fc42.noarch coreutils-9.5-11.fc42.ppc64le coreutils-common-9.5-11.fc42.ppc64le cpio-2.15-2.fc41.ppc64le cracklib-2.9.11-6.fc41.ppc64le crypto-policies-20241128-1.gitbb7b0b0.fc42.noarch curl-8.11.1-2.fc42.ppc64le cyrus-sasl-lib-2.1.28-27.fc41.ppc64le debugedit-5.1-2.fc42.ppc64le diffutils-3.10-8.fc41.ppc64le dwz-0.15-8.fc42.ppc64le ed-1.20.2-2.fc41.ppc64le efi-srpm-macros-5-13.fc42.noarch elfutils-0.192-7.fc42.ppc64le elfutils-debuginfod-client-0.192-7.fc42.ppc64le elfutils-default-yama-scope-0.192-7.fc42.noarch elfutils-libelf-0.192-7.fc42.ppc64le elfutils-libs-0.192-7.fc42.ppc64le 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.ppc64le file-libs-5.45-8.fc42.ppc64le filesystem-3.18-29.fc42.ppc64le findutils-4.10.0-4.fc41.ppc64le 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.ppc64le gdb-minimal-15.2-4.fc42.ppc64le gdbm-1.23-7.fc41.ppc64le gdbm-libs-1.23-7.fc41.ppc64le ghc-srpm-macros-1.9.2-1.fc42.noarch glibc-2.40.9000-24.fc42.ppc64le glibc-common-2.40.9000-24.fc42.ppc64le glibc-gconv-extra-2.40.9000-24.fc42.ppc64le glibc-minimal-langpack-2.40.9000-24.fc42.ppc64le gmp-6.3.0-2.fc41.ppc64le gnat-srpm-macros-6-6.fc41.noarch go-srpm-macros-3.6.0-5.fc42.noarch grep-3.11-9.fc41.ppc64le gzip-1.13-2.fc41.ppc64le info-7.1.1-2.fc42.ppc64le jansson-2.14-1.fc42.ppc64le json-c-0.18-1.fc42.ppc64le kernel-srpm-macros-1.0-24.fc41.noarch keyutils-libs-1.6.3-4.fc41.ppc64le krb5-libs-1.21.3-3.fc42.ppc64le libacl-2.3.2-2.fc41.ppc64le libarchive-3.7.7-1.fc42.ppc64le libattr-2.5.2-4.fc41.ppc64le libblkid-2.40.2-8.fc42.ppc64le libbrotli-1.1.0-5.fc41.ppc64le libcap-2.71-1.fc42.ppc64le libcap-ng-0.8.5-3.fc41.ppc64le libcom_err-1.47.1-6.fc42.ppc64le libcurl-8.11.1-2.fc42.ppc64le libeconf-0.7.5-1.fc42.ppc64le libevent-2.1.12-14.fc41.ppc64le libfdisk-2.40.2-8.fc42.ppc64le libffi-3.4.6-3.fc42.ppc64le libgcc-14.2.1-6.fc42.ppc64le libgomp-14.2.1-6.fc42.ppc64le libidn2-2.3.7-2.fc41.ppc64le libmount-2.40.2-8.fc42.ppc64le libnghttp2-1.64.0-1.fc42.ppc64le libpkgconf-2.3.0-1.fc42.ppc64le libpsl-0.21.5-4.fc41.ppc64le libpwquality-1.4.5-11.fc41.ppc64le librtas-2.0.6-2.fc41.ppc64le libselinux-3.8-0.rc1.2.fc42.ppc64le libsemanage-3.8-0.rc1.1.fc42.ppc64le libsepol-3.8-0.rc1.1.fc42.ppc64le libsmartcols-2.40.2-8.fc42.ppc64le libssh-0.11.1-1.fc42.ppc64le libssh-config-0.11.1-1.fc42.noarch libstdc++-14.2.1-6.fc42.ppc64le libtasn1-4.19.0-9.fc41.ppc64le libtirpc-1.3.6-1.fc42.ppc64le libtool-ltdl-2.5.4-1.fc42.ppc64le libunistring-1.1-8.fc41.ppc64le libuuid-2.40.2-8.fc42.ppc64le libverto-0.3.2-9.fc41.ppc64le libxcrypt-4.4.36-11.fc42.ppc64le libxml2-2.12.8-2.fc41.ppc64le libzstd-1.5.6-2.fc41.ppc64le lua-libs-5.4.7-1.fc42.ppc64le lua-srpm-macros-1-14.fc41.noarch lz4-libs-1.10.0-1.fc41.ppc64le mpfr-4.2.1-5.fc41.ppc64le ncurses-base-6.5-2.20240629.fc41.noarch ncurses-libs-6.5-2.20240629.fc41.ppc64le ocaml-srpm-macros-10-3.fc41.noarch openblas-srpm-macros-2-18.fc41.noarch openldap-2.6.8-6.fc42.ppc64le openssl-libs-3.2.2-8.fc42.ppc64le p11-kit-0.25.5-4.fc42.ppc64le p11-kit-trust-0.25.5-4.fc42.ppc64le package-notes-srpm-macros-0.5-12.fc41.noarch pam-1.7.0-3.fc42.ppc64le pam-libs-1.7.0-3.fc42.ppc64le patch-2.7.6-25.fc41.ppc64le pcre2-10.44-1.fc41.1.ppc64le pcre2-syntax-10.44-1.fc41.1.noarch perl-srpm-macros-1-56.fc41.noarch pkgconf-2.3.0-1.fc42.ppc64le pkgconf-m4-2.3.0-1.fc42.noarch pkgconf-pkg-config-2.3.0-1.fc42.ppc64le popt-1.19-7.fc41.ppc64le 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.ppc64le redhat-rpm-config-296-1.fc42.noarch rpm-4.20.0-1.fc42.ppc64le rpm-build-4.20.0-1.fc42.ppc64le rpm-build-libs-4.20.0-1.fc42.ppc64le rpm-libs-4.20.0-1.fc42.ppc64le rpm-sequoia-1.7.0-3.fc42.ppc64le rust-srpm-macros-26.3-3.fc42.noarch sed-4.9-3.fc41.ppc64le setup-2.15.0-5.fc41.noarch shadow-utils-4.17.0~rc1-1.fc42.ppc64le sqlite-libs-3.47.2-1.fc42.ppc64le systemd-libs-257-1.fc42.ppc64le tar-1.35-4.fc41.ppc64le unzip-6.0-65.fc42.ppc64le util-linux-2.40.2-8.fc42.ppc64le util-linux-core-2.40.2-8.fc42.ppc64le which-2.21-42.fc41.ppc64le xxhash-libs-0.8.2-4.fc42.ppc64le xz-5.6.3-2.fc42.ppc64le xz-libs-5.6.3-2.fc42.ppc64le zig-srpm-macros-1-3.fc41.noarch zip-3.0-42.fc42.ppc64le zlib-ng-compat-2.2.2-1.fc42.ppc64le zstd-1.5.6-2.fc41.ppc64le Start: buildsrpm Start: rpmbuild -bs Building target platforms: ppc64le Building for target ppc64le 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-ppc64le-1734619121.128451/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-4h45jg6x/python-scikit-learn/python-scikit-learn.spec) Config(child) 0 minutes 52 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-ppc64le) Start(bootstrap): chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-ppc64le-bootstrap-1734619121.128451/root. INFO: reusing tmpfs at /var/lib/mock/fedora-rawhide-ppc64le-bootstrap-1734619121.128451/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-ppc64le-1734619121.128451/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.ppc64le rpm-sequoia-1.7.0-3.fc42.ppc64le dnf5-5.2.8.1-2.fc42.ppc64le dnf5-plugins-5.2.8.1-2.fc42.ppc64le 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: ppc64le Building for target ppc64le setting SOURCE_DATE_EPOCH=1734566400 Wrote: /builddir/build/SRPMS/python-scikit-learn-1.6.0-1.fc42.src.rpm Updating and loading repositories: Copr repository 100% | 59.8 KiB/s | 2.2 KiB | 00m00s fedora 100% | 116.7 KiB/s | 3.0 KiB | 00m00s Additional repo http_kojipkgs_fedorapr 100% | 51.8 KiB/s | 3.8 KiB | 00m00s Repositories loaded. Package Arch Version Repository Size Installing: gcc ppc64le 14.2.1-6.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 94.0 MiB gcc-c++ ppc64le 14.2.1-6.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 36.9 MiB python3-devel ppc64le 3.13.1-2.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.8 MiB python3-joblib noarch 1.4.2-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.2 MiB python3-pytest noarch 8.3.4-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 20.8 MiB python3-setuptools noarch 74.1.3-4.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 8.4 MiB python3-threadpoolctl noarch 3.5.0-4.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 136.8 KiB Installing dependencies: annobin-docs noarch 12.79-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 98.6 KiB annobin-plugin-gcc ppc64le 12.79-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 997.1 KiB cpp ppc64le 14.2.1-6.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 33.3 MiB expat ppc64le 2.6.4-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 349.2 KiB gcc-plugin-annobin ppc64le 14.2.1-6.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 73.3 KiB glibc-devel ppc64le 2.40.9000-24.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.6 MiB kernel-headers ppc64le 6.13.0-0.rc3.29.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 6.5 MiB libasan ppc64le 14.2.1-6.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.9 MiB libatomic ppc64le 14.2.1-6.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 68.2 KiB libb2 ppc64le 0.98.1-12.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 202.1 KiB libmpc ppc64le 1.3.1-6.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 345.6 KiB libstdc++-devel ppc64le 14.2.1-6.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 15.3 MiB libubsan ppc64le 14.2.1-6.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 604.4 KiB libxcrypt-devel ppc64le 4.4.36-11.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 30.5 KiB make ppc64le 1:4.4.1-9.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.0 MiB mpdecimal ppc64le 2.5.1-16.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 328.9 KiB pyproject-rpm-macros noarch 1.16.3-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 113.7 KiB python-pip-wheel noarch 24.3.1-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.2 MiB python-rpm-macros noarch 3.13-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 22.1 KiB python3 ppc64le 3.13.1-2.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 82.5 KiB python3-cloudpickle noarch 3.1.0-2.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 128.0 KiB python3-iniconfig noarch 1.1.1-23.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 20.6 KiB python3-libs ppc64le 3.13.1-2.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 42.8 MiB python3-packaging noarch 24.2-2.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 555.7 KiB python3-pluggy noarch 1.5.0-1.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 193.2 KiB python3-rpm-generators noarch 14-11.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 81.7 KiB python3-rpm-macros noarch 3.13-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 6.4 KiB tzdata noarch 2024b-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.6 MiB Transaction Summary: Installing: 35 packages Total size of inbound packages is 79 MiB. Need to download 79 MiB. After this operation, 276 MiB extra will be used (install 276 MiB, remove 0 B). [ 1/35] python3-devel-0:3.13.1-2.fc42.p 100% | 3.5 MiB/s | 357.8 KiB | 00m00s [ 2/35] python3-joblib-0:1.4.2-3.fc41.n 100% | 17.2 MiB/s | 529.1 KiB | 00m00s [ 3/35] python3-setuptools-0:74.1.3-4.f 100% | 46.6 MiB/s | 1.8 MiB | 00m00s [ 4/35] python3-threadpoolctl-0:3.5.0-4 100% | 2.1 MiB/s | 44.4 KiB | 00m00s [ 5/35] python3-pytest-0:8.3.4-1.fc42.n 100% | 44.9 MiB/s | 2.0 MiB | 00m00s [ 6/35] gcc-c++-0:14.2.1-6.fc42.ppc64le 100% | 42.5 MiB/s | 12.7 MiB | 00m00s [ 7/35] python3-0:3.13.1-2.fc42.ppc64le 100% | 447.1 KiB/s | 26.8 KiB | 00m00s [ 8/35] python3-iniconfig-0:1.1.1-23.fc 100% | 1.0 MiB/s | 18.1 KiB | 00m00s [ 9/35] python3-packaging-0:24.2-2.fc42 100% | 7.4 MiB/s | 143.6 KiB | 00m00s [10/35] python3-pluggy-0:1.5.0-1.fc41.n 100% | 2.2 MiB/s | 53.1 KiB | 00m00s [11/35] python3-cloudpickle-0:3.1.0-2.f 100% | 2.0 MiB/s | 47.2 KiB | 00m00s [12/35] libmpc-0:1.3.1-6.fc41.ppc64le 100% | 4.7 MiB/s | 95.8 KiB | 00m00s [13/35] gcc-0:14.2.1-6.fc42.ppc64le 100% | 64.4 MiB/s | 32.4 MiB | 00m01s [14/35] libstdc++-devel-0:14.2.1-6.fc42 100% | 14.7 MiB/s | 2.6 MiB | 00m00s [15/35] python3-libs-0:3.13.1-2.fc42.pp 100% | 37.0 MiB/s | 8.7 MiB | 00m00s [16/35] glibc-devel-0:2.40.9000-24.fc42 100% | 11.9 MiB/s | 571.8 KiB | 00m00s [17/35] libasan-0:14.2.1-6.fc42.ppc64le 100% | 24.2 MiB/s | 520.2 KiB | 00m00s [18/35] libatomic-0:14.2.1-6.fc42.ppc64 100% | 2.6 MiB/s | 44.7 KiB | 00m00s [19/35] libubsan-0:14.2.1-6.fc42.ppc64l 100% | 13.0 MiB/s | 266.2 KiB | 00m00s [20/35] make-1:4.4.1-9.fc42.ppc64le 100% | 27.6 MiB/s | 594.0 KiB | 00m00s [21/35] expat-0:2.6.4-1.fc42.ppc64le 100% | 6.5 MiB/s | 120.1 KiB | 00m00s [22/35] libb2-0:0.98.1-12.fc41.ppc64le 100% | 1.4 MiB/s | 25.3 KiB | 00m00s [23/35] mpdecimal-0:2.5.1-16.fc41.ppc64 100% | 4.8 MiB/s | 103.0 KiB | 00m00s [24/35] cpp-0:14.2.1-6.fc42.ppc64le 100% | 50.7 MiB/s | 10.5 MiB | 00m00s [25/35] python-pip-wheel-0:24.3.1-1.fc4 100% | 17.2 MiB/s | 1.2 MiB | 00m00s [26/35] tzdata-0:2024b-1.fc42.noarch 100% | 6.8 MiB/s | 428.6 KiB | 00m00s [27/35] kernel-headers-0:6.13.0-0.rc3.2 100% | 44.7 MiB/s | 1.5 MiB | 00m00s [28/35] libxcrypt-devel-0:4.4.36-11.fc4 100% | 1.4 MiB/s | 28.1 KiB | 00m00s [29/35] pyproject-rpm-macros-0:1.16.3-1 100% | 2.4 MiB/s | 44.6 KiB | 00m00s [30/35] python-rpm-macros-0:3.13-3.fc41 100% | 1.0 MiB/s | 17.7 KiB | 00m00s [31/35] python3-rpm-macros-0:3.13-3.fc4 100% | 777.7 KiB/s | 12.4 KiB | 00m00s [32/35] python3-rpm-generators-0:14-11. 100% | 1.7 MiB/s | 29.3 KiB | 00m00s [33/35] gcc-plugin-annobin-0:14.2.1-6.f 100% | 3.2 MiB/s | 59.5 KiB | 00m00s [34/35] annobin-docs-0:12.79-1.fc42.noa 100% | 4.8 MiB/s | 92.7 KiB | 00m00s [35/35] annobin-plugin-gcc-0:12.79-1.fc 100% | 32.9 MiB/s | 978.2 KiB | 00m00s -------------------------------------------------------------------------------- [35/35] Total 100% | 99.0 MiB/s | 78.6 MiB | 00m01s Running transaction [ 1/37] Verify package files 100% | 41.0 B/s | 35.0 B | 00m01s [ 2/37] Prepare transaction 100% | 301.0 B/s | 35.0 B | 00m00s [ 3/37] Installing python-rpm-macros-0: 100% | 22.3 MiB/s | 22.8 KiB | 00m00s [ 4/37] Installing libmpc-0:1.3.1-6.fc4 100% | 113.0 MiB/s | 347.1 KiB | 00m00s [ 5/37] Installing python3-rpm-macros-0 100% | 0.0 B/s | 6.7 KiB | 00m00s [ 6/37] Installing pyproject-rpm-macros 100% | 56.5 MiB/s | 115.7 KiB | 00m00s [ 7/37] Installing cpp-0:14.2.1-6.fc42. 100% | 155.4 MiB/s | 33.3 MiB | 00m00s [ 8/37] Installing annobin-docs-0:12.79 100% | 24.3 MiB/s | 99.7 KiB | 00m00s [ 9/37] Installing kernel-headers-0:6.1 100% | 75.0 MiB/s | 6.6 MiB | 00m00s [10/37] Installing libxcrypt-devel-0:4. 100% | 8.0 MiB/s | 32.9 KiB | 00m00s [11/37] Installing glibc-devel-0:2.40.9 100% | 53.5 MiB/s | 2.7 MiB | 00m00s [12/37] Installing tzdata-0:2024b-1.fc4 100% | 14.6 MiB/s | 1.9 MiB | 00m00s [13/37] Installing python-pip-wheel-0:2 100% | 207.4 MiB/s | 1.2 MiB | 00m00s [14/37] Installing mpdecimal-0:2.5.1-16 100% | 80.6 MiB/s | 330.0 KiB | 00m00s [15/37] Installing libb2-0:0.98.1-12.fc 100% | 99.2 MiB/s | 203.2 KiB | 00m00s [16/37] Installing expat-0:2.6.4-1.fc42 100% | 38.1 MiB/s | 351.3 KiB | 00m00s [17/37] Installing python3-libs-0:3.13. 100% | 105.0 MiB/s | 43.2 MiB | 00m00s [18/37] Installing python3-0:3.13.1-2.f 100% | 41.1 MiB/s | 84.2 KiB | 00m00s [19/37] Installing python3-packaging-0: 100% | 50.4 MiB/s | 568.0 KiB | 00m00s [20/37] Installing python3-rpm-generato 100% | 81.0 MiB/s | 82.9 KiB | 00m00s [21/37] Installing python3-iniconfig-0: 100% | 11.5 MiB/s | 23.6 KiB | 00m00s [22/37] Installing python3-pluggy-0:1.5 100% | 48.7 MiB/s | 199.4 KiB | 00m00s [23/37] Installing python3-cloudpickle- 100% | 42.8 MiB/s | 131.6 KiB | 00m00s [24/37] Installing make-1:4.4.1-9.fc42. 100% | 116.2 MiB/s | 2.0 MiB | 00m00s [25/37] Installing libubsan-0:14.2.1-6. 100% | 118.2 MiB/s | 605.3 KiB | 00m00s [26/37] Installing libatomic-0:14.2.1-6 100% | 67.3 MiB/s | 68.9 KiB | 00m00s [27/37] Installing libasan-0:14.2.1-6.f 100% | 147.4 MiB/s | 1.9 MiB | 00m00s [28/37] Installing gcc-0:14.2.1-6.fc42. 100% | 146.2 MiB/s | 94.0 MiB | 00m01s [29/37] Installing libstdc++-devel-0:14 100% | 96.0 MiB/s | 15.5 MiB | 00m00s [30/37] Installing gcc-c++-0:14.2.1-6.f 100% | 138.9 MiB/s | 36.9 MiB | 00m00s [31/37] Installing annobin-plugin-gcc-0 100% | 51.3 MiB/s | 998.8 KiB | 00m00s [32/37] Installing gcc-plugin-annobin-0 100% | 4.3 MiB/s | 74.8 KiB | 00m00s [33/37] Installing python3-joblib-0:1.4 100% | 55.7 MiB/s | 2.2 MiB | 00m00s [34/37] Installing python3-pytest-0:8.3 100% | 120.7 MiB/s | 21.0 MiB | 00m00s [35/37] Installing python3-devel-0:3.13 100% | 42.2 MiB/s | 1.8 MiB | 00m00s [36/37] Installing python3-setuptools-0 100% | 68.5 MiB/s | 8.6 MiB | 00m00s [37/37] Installing python3-threadpoolct 100% | 606.3 KiB/s | 138.9 KiB | 00m00s Warning: skipped OpenPGP checks for 35 packages from repository: http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 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: ppc64le Building for target ppc64le setting SOURCE_DATE_EPOCH=1734566400 Executing(%mkbuilddir): /bin/sh -e /var/tmp/rpm-tmp.DkGymc + 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.YM1atd + 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.dlhoxo + 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 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection ' + 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 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection ' + 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 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection -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 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + VALAFLAGS=-g + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -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.ppc64le-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.ppc64le-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% | 116.7 KiB/s | 3.0 KiB | 00m00s Additional repo http_kojipkgs_fedorapr 100% | 62.8 KiB/s | 3.8 KiB | 00m00s Copr repository 100% | 53.8 KiB/s | 2.2 KiB | 00m00s Repositories loaded. Package "gcc-14.2.1-6.fc42.ppc64le" is already installed. Package "gcc-c++-14.2.1-6.fc42.ppc64le" is already installed. Package "pyproject-rpm-macros-1.16.3-1.fc42.noarch" is already installed. Package "python3-devel-3.13.1-2.fc42.ppc64le" 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 ppc64le 3.0.11-1.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 20.4 MiB python3-meson-python noarch 0.17.1-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 277.7 KiB python3-numpy ppc64le 1:2.2.0-3.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 36.6 MiB python3-pip noarch 24.3.1-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 11.3 MiB python3-scipy ppc64le 1.14.1-2.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 74.2 MiB Installing dependencies: emacs-filesystem noarch 1:30.0-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 0.0 B flexiblas ppc64le 3.4.4-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 48.5 KiB flexiblas-netlib ppc64le 3.4.4-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 12.8 MiB flexiblas-openblas-openmp ppc64le 3.4.4-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 195.0 KiB libgfortran ppc64le 14.2.1-6.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.4 MiB libquadmath ppc64le 14.2.1-6.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 426.5 KiB meson noarch 1.6.1-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 11.4 MiB ninja-build ppc64le 1.12.1-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 523.7 KiB openblas ppc64le 0.3.28-2.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 106.6 KiB openblas-openmp ppc64le 0.3.28-2.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 23.5 MiB patchelf ppc64le 0.18.0-5.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 435.0 KiB python3-charset-normalizer noarch 3.4.0-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 319.9 KiB python3-idna noarch 3.10-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 628.0 KiB python3-numpy-f2py ppc64le 1:2.2.0-3.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.0 MiB python3-platformdirs noarch 4.2.2-2.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 168.6 KiB python3-pooch noarch 1.8.2-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 625.5 KiB python3-pyproject-metadata noarch 0.8.0-4.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 92.0 KiB python3-requests noarch 2.32.3-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 485.9 KiB python3-urllib3 noarch 2.2.3-3.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.0 MiB vim-filesystem noarch 2:9.1.919-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 40.0 B Transaction Summary: Installing: 25 packages Total size of inbound packages is 42 MiB. Need to download 42 MiB. After this operation, 200 MiB extra will be used (install 200 MiB, remove 0 B). [ 1/25] python3-meson-python-0:0.17.1-1 100% | 1.0 MiB/s | 81.2 KiB | 00m00s [ 2/25] python3-cython-0:3.0.11-1.fc41. 100% | 27.2 MiB/s | 3.8 MiB | 00m00s [ 3/25] python3-pip-0:24.3.1-1.fc42.noa 100% | 30.7 MiB/s | 2.5 MiB | 00m00s [ 4/25] python3-numpy-1:2.2.0-3.fc42.pp 100% | 32.4 MiB/s | 6.8 MiB | 00m00s [ 5/25] flexiblas-netlib-0:3.4.4-3.fc41 100% | 41.0 MiB/s | 2.9 MiB | 00m00s [ 6/25] libgfortran-0:14.2.1-6.fc42.ppc 100% | 20.0 MiB/s | 635.1 KiB | 00m00s [ 7/25] python3-numpy-f2py-1:2.2.0-3.fc 100% | 19.9 MiB/s | 448.3 KiB | 00m00s [ 8/25] python3-pooch-0:1.8.2-3.fc41.no 100% | 6.9 MiB/s | 126.4 KiB | 00m00s [ 9/25] python3-platformdirs-0:4.2.2-2. 100% | 2.2 MiB/s | 41.0 KiB | 00m00s [10/25] python3-requests-0:2.32.3-3.fc4 100% | 7.7 MiB/s | 149.0 KiB | 00m00s [11/25] python3-scipy-0:1.14.1-2.fc42.p 100% | 75.1 MiB/s | 16.8 MiB | 00m00s [12/25] patchelf-0:0.18.0-5.fc41.ppc64l 100% | 1.5 MiB/s | 131.5 KiB | 00m00s [13/25] meson-0:1.6.1-1.fc42.noarch 100% | 20.8 MiB/s | 2.1 MiB | 00m00s [14/25] python3-pyproject-metadata-0:0. 100% | 1.3 MiB/s | 31.3 KiB | 00m00s [15/25] ninja-build-0:1.12.1-3.fc41.ppc 100% | 7.6 MiB/s | 186.0 KiB | 00m00s [16/25] flexiblas-0:3.4.4-3.fc41.ppc64l 100% | 1.4 MiB/s | 25.2 KiB | 00m00s [17/25] flexiblas-openblas-openmp-0:3.4 100% | 981.3 KiB/s | 16.7 KiB | 00m00s [18/25] libquadmath-0:14.2.1-6.fc42.ppc 100% | 12.0 MiB/s | 221.9 KiB | 00m00s [19/25] python3-charset-normalizer-0:3. 100% | 5.5 MiB/s | 101.4 KiB | 00m00s [20/25] python3-idna-0:3.10-1.fc42.noar 100% | 5.7 MiB/s | 111.7 KiB | 00m00s [21/25] python3-urllib3-0:2.2.3-3.fc42. 100% | 12.6 MiB/s | 259.0 KiB | 00m00s [22/25] emacs-filesystem-1:30.0-3.fc41. 100% | 420.1 KiB/s | 7.1 KiB | 00m00s [23/25] vim-filesystem-2:9.1.919-1.fc42 100% | 1.0 MiB/s | 16.4 KiB | 00m00s [24/25] openblas-0:0.3.28-2.fc42.ppc64l 100% | 2.2 MiB/s | 40.9 KiB | 00m00s [25/25] openblas-openmp-0:0.3.28-2.fc42 100% | 74.3 MiB/s | 4.7 MiB | 00m00s -------------------------------------------------------------------------------- [25/25] Total 100% | 84.9 MiB/s | 42.1 MiB | 00m00s Running transaction [ 1/27] Verify package files 100% | 52.0 B/s | 25.0 B | 00m00s [ 2/27] Prepare transaction 100% | 166.0 B/s | 25.0 B | 00m00s [ 3/27] Installing libgfortran-0:14.2.1 100% | 133.3 MiB/s | 2.4 MiB | 00m00s [ 4/27] Installing python3-idna-0:3.10- 100% | 88.5 MiB/s | 634.3 KiB | 00m00s [ 5/27] Installing python3-urllib3-0:2. 100% | 50.1 MiB/s | 1.0 MiB | 00m00s [ 6/27] Installing openblas-0:0.3.28-2. 100% | 52.9 MiB/s | 108.3 KiB | 00m00s [ 7/27] Installing openblas-openmp-0:0. 100% | 84.9 MiB/s | 23.5 MiB | 00m00s [ 8/27] Installing vim-filesystem-2:9.1 100% | 1.5 MiB/s | 4.7 KiB | 00m00s [ 9/27] Installing emacs-filesystem-1:3 100% | 531.2 KiB/s | 544.0 B | 00m00s [10/27] Installing ninja-build-0:1.12.1 100% | 34.3 MiB/s | 526.9 KiB | 00m00s [11/27] Installing meson-0:1.6.1-1.fc42 100% | 62.7 MiB/s | 11.5 MiB | 00m00s [12/27] Installing python3-charset-norm 100% | 35.8 MiB/s | 329.8 KiB | 00m00s [13/27] Installing python3-requests-0:2 100% | 48.6 MiB/s | 498.0 KiB | 00m00s [14/27] Installing libquadmath-0:14.2.1 100% | 104.4 MiB/s | 427.8 KiB | 00m00s [15/27] Installing flexiblas-0:3.4.4-3. 100% | 48.5 MiB/s | 49.7 KiB | 00m00s [16/27] Installing flexiblas-openblas-o 100% | 95.6 MiB/s | 195.8 KiB | 00m00s [17/27] Installing flexiblas-netlib-0:3 100% | 142.6 MiB/s | 12.8 MiB | 00m00s [18/27] Installing python3-numpy-f2py-1 100% | 35.0 MiB/s | 2.1 MiB | 00m00s [19/27] Installing python3-numpy-1:2.2. 100% | 96.4 MiB/s | 36.9 MiB | 00m00s [20/27] Installing python3-pyproject-me 100% | 30.9 MiB/s | 95.0 KiB | 00m00s [21/27] Installing patchelf-0:0.18.0-5. 100% | 85.3 MiB/s | 436.8 KiB | 00m00s [22/27] Installing python3-platformdirs 100% | 34.2 MiB/s | 175.0 KiB | 00m00s [23/27] Installing python3-pooch-0:1.8. 100% | 32.9 MiB/s | 640.5 KiB | 00m00s [24/27] Installing python3-scipy-0:1.14 100% | 119.0 MiB/s | 74.6 MiB | 00m01s [25/27] Installing python3-meson-python 100% | 27.7 MiB/s | 283.7 KiB | 00m00s [26/27] Installing python3-pip-0:24.3.1 100% | 63.5 MiB/s | 11.6 MiB | 00m00s [27/27] Installing python3-cython-0:3.0 100% | 78.5 MiB/s | 20.6 MiB | 00m00s Warning: skipped OpenPGP checks for 25 packages from repository: http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch Complete! Building target platforms: ppc64le Building for target ppc64le setting SOURCE_DATE_EPOCH=1734566400 Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.KGHQni + 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 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection ' + 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 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection ' + 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 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection -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 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + VALAFLAGS=-g + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -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.ppc64le-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.ppc64le-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% | 79.8 KiB/s | 3.0 KiB | 00m00s Additional repo http_kojipkgs_fedorapr 100% | 70.9 KiB/s | 3.8 KiB | 00m00s Copr repository 100% | 58.2 KiB/s | 2.2 KiB | 00m00s Repositories loaded. Package "gcc-14.2.1-6.fc42.ppc64le" is already installed. Package "gcc-c++-14.2.1-6.fc42.ppc64le" is already installed. Package "pyproject-rpm-macros-1.16.3-1.fc42.noarch" is already installed. Package "python3-devel-3.13.1-2.fc42.ppc64le" is already installed. Package "python3-cython-3.0.11-1.fc41.ppc64le" 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.ppc64le" is already installed. Package "python3-numpy-1:2.2.0-3.fc42.ppc64le" 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.ppc64le" is already installed. Package "python3-setuptools-74.1.3-4.fc42.noarch" is already installed. Package "python3-threadpoolctl-3.5.0-4.fc41.noarch" is already installed. Package "python3-threadpoolctl-3.5.0-4.fc41.noarch" is already installed. Nothing to do. Building target platforms: ppc64le Building for target ppc64le setting SOURCE_DATE_EPOCH=1734566400 Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.rtKWP3 + 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 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection ' + 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 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection ' + 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 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection -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 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + VALAFLAGS=-g + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -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.ppc64le-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.ppc64le-pyproject-buildrequires + rm -rfv '*.dist-info/' + RPM_EC=0 ++ jobs -p + exit 0 Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.vmA9Oo + 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 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection ' + 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 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection ' + 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 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection -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 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -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 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection ' + 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 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection ' + 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 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection -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 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + VALAFLAGS=-g + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -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-a07h1r5u -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-a07h1r5u/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-a07h1r5u 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: ppc64 Host machine cpu: ppc64le 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-a07h1r5u/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/_loss/_loss.pxd [2/251] Copying file sklearn/utils/_heap.pxd [3/251] Copying file sklearn/utils/_openmp_helpers.pxd [4/251] Copying file sklearn/utils/__init__.py [5/251] Copying file sklearn/utils/_cython_blas.pxd [6/251] Copying file sklearn/__init__.py [7/251] Copying file sklearn/utils/_typedefs.pxd [8/251] Copying file sklearn/utils/_random.pxd [9/251] Generating sklearn/utils/_seq_dataset_pxd with a custom command [10/251] Copying file sklearn/utils/_vector_sentinel.pxd [11/251] Copying file sklearn/utils/_sorting.pxd [12/251] Generating sklearn/utils/_weight_vector_pxd with a custom command [13/251] Generating sklearn/metrics/_dist_metrics_pxd with a custom command [14/251] Copying file sklearn/metrics/__init__.py [15/251] Generating sklearn/metrics/_pairwise_distances_reduction/_datasets_pair_pxd with a custom command [16/251] Copying file sklearn/metrics/_pairwise_distances_reduction/_classmode.pxd [17/251] Generating sklearn/metrics/_pairwise_distances_reduction/_argkmin_pxd with a custom command [18/251] Copying file sklearn/metrics/_pairwise_distances_reduction/__init__.py [19/251] Generating sklearn/metrics/_pairwise_distances_reduction/_base_pxd with a custom command [20/251] Generating sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer_pxd with a custom command [21/251] Generating sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_pxd with a custom command [22/251] Copying file sklearn/linear_model/__init__.py [23/251] Generating sklearn/neighbors/_binary_tree_pxi with a custom command [24/251] Generating sklearn/utils/_weight_vector_pyx with a custom command [25/251] Generating sklearn/_loss/_loss_pyx with a custom command [26/251] Generating sklearn/utils/_seq_dataset_pyx with a custom command [27/251] Generating sklearn/metrics/_dist_metrics_pyx with a custom command [28/251] Generating sklearn/metrics/_pairwise_distances_reduction/_base_pyx with a custom command [29/251] Copying file sklearn/neighbors/_partition_nodes.pxd [30/251] Generating sklearn/metrics/_pairwise_distances_reduction/_datasets_pair_pyx with a custom command [31/251] Generating sklearn/metrics/_pairwise_distances_reduction/_argkmin_pyx with a custom command [32/251] Copying file sklearn/neighbors/__init__.py [33/251] Generating sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer_pyx with a custom command [34/251] Generating sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode_pyx with a custom command [35/251] Generating sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_pyx with a custom command [36/251] Generating sklearn/neighbors/_kd_tree_pyx with a custom command [37/251] Generating sklearn/neighbors/_ball_tree_pyx with a custom command [38/251] Generating sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_classmode_pyx with a custom command [39/251] Generating sklearn/linear_model/_sgd_fast_pyx with a custom command [40/251] Generating sklearn/linear_model/_sag_fast_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 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'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 [64/251] Compiling Cython source sklearn/metrics/_pairwise_distances_reduction/_argkmin.pyx [65/251] Compiling Cython source sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_classmode.pyx [66/251] 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 [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 [68/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/cluster/_hierarchical_fast.pyx [69/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/cluster/_k_means_minibatch.pyx [70/251] 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/builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/manifold/_utils.pyx [90/251] Compiling Cython source sklearn/linear_model/_sgd_fast.pyx [91/251] Compiling Cython source sklearn/linear_model/_sag_fast.pyx [92/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/linear_model/_cd_fast.pyx [93/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/manifold/_barnes_hut_tsne.pyx [94/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/neighbors/_partition_nodes.pyx [95/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/svm/_newrand.pyx [96/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/preprocessing/_csr_polynomial_expansion.pyx [97/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/preprocessing/_target_encoder_fast.pyx [98/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/svm/_libsvm.pyx [99/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/neighbors/_quad_tree.pyx [100/251] Compiling C++ object sklearn/svm/libliblinear-skl.a.p/src_liblinear_tron.cpp.o [101/251] 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 [102/251] 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 warning: sklearn/neighbors/_binary_tree.pxi:3594:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3689:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3858:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3981:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:4038:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:4039:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_kd_tree.pyx:74:9: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier warning: sklearn/neighbors/_kd_tree.pyx:75:9: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier warning: sklearn/neighbors/_kd_tree.pyx:342:9: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier warning: sklearn/neighbors/_kd_tree.pyx:343:9: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier [103/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/svm/_liblinear.pyx [104/251] Compiling C++ object sklearn/svm/liblibsvm-skl.a.p/src_libsvm_libsvm_template.cpp.o [105/251] Compiling C++ object sklearn/svm/libliblinear-skl.a.p/src_liblinear_linear.cpp.o [106/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/tree/_splitter.pyx [107/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/svm/_libsvm_sparse.pyx [108/251] Compiling C object sklearn/__check_build/_check_build.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn___check_build__check_build.pyx.c.o [109/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/tree/_partitioner.pyx [110/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/tree/_utils.pyx [111/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/tree/_criterion.pyx [112/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/tree/_tree.pyx [113/251] Compiling C++ object sklearn/utils/murmurhash.cpython-313-powerpc64le-linux-gnu.so.p/src_MurmurHash3.cpp.o [114/251] Compiling C object sklearn/utils/murmurhash.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_utils_murmurhash.pyx.c.o [115/251] Compiling C object sklearn/_isotonic.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn__isotonic.pyx.c.o [116/251] Compiling C++ object sklearn/utils/_fast_dict.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_utils__fast_dict.pyx.cpp.o [117/251] Compiling C object sklearn/utils/_openmp_helpers.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_utils__openmp_helpers.pyx.c.o [118/251] Compiling C object sklearn/utils/_heap.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_utils__heap.pyx.c.o [119/251] Compiling C object sklearn/utils/arrayfuncs.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_utils_arrayfuncs.pyx.c.o [120/251] Compiling C object sklearn/utils/_sorting.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_utils__sorting.pyx.c.o [121/251] Compiling C++ object sklearn/utils/_vector_sentinel.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_utils__vector_sentinel.pyx.cpp.o [122/251] Compiling C object sklearn/utils/_typedefs.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_utils__typedefs.pyx.c.o [123/251] Compiling C object sklearn/utils/_cython_blas.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_utils__cython_blas.pyx.c.o [124/251] Compiling C object sklearn/utils/_isfinite.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_utils__isfinite.pyx.c.o [125/251] Compiling C object sklearn/utils/_random.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_utils__random.pyx.c.o [126/251] Compiling C object sklearn/utils/_weight_vector.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_utils__weight_vector.pyx.c.o [127/251] Compiling C object sklearn/utils/_seq_dataset.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_utils__seq_dataset.pyx.c.o [128/251] Compiling C object sklearn/utils/sparsefuncs_fast.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_utils_sparsefuncs_fast.pyx.c.o [129/251] Compiling C object sklearn/metrics/_pairwise_fast.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_metrics__pairwise_fast.pyx.c.o [130/251] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_base.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_metrics__pairwise_distances_reduction__base.pyx.cpp.o [131/251] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_datasets_pair.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_metrics__pairwise_distances_reduction__datasets_pair.pyx.cpp.o [132/251] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_metrics__pairwise_distances_reduction__argkmin.pyx.cpp.o [133/251] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_metrics__pairwise_distances_reduction__radius_neighbors.pyx.cpp.o [134/251] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_metrics__pairwise_distances_reduction__argkmin_classmode.pyx.cpp.o [135/251] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_classmode.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_metrics__pairwise_distances_reduction__radius_neighbors_classmode.pyx.cpp.o [136/251] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_metrics__pairwise_distances_reduction__middle_term_computer.pyx.cpp.o [137/251] Compiling C object sklearn/metrics/_dist_metrics.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_metrics__dist_metrics.pyx.c.o sklearn/metrics/_dist_metrics.cpython-313-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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)); | ^ [138/251] Compiling C object sklearn/metrics/cluster/_expected_mutual_info_fast.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_metrics_cluster__expected_mutual_info_fast.pyx.c.o [139/251] Compiling C++ object sklearn/cluster/_dbscan_inner.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_cluster__dbscan_inner.pyx.cpp.o [140/251] Compiling C++ object sklearn/cluster/_hierarchical_fast.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_cluster__hierarchical_fast.pyx.cpp.o [141/251] Compiling C object sklearn/cluster/_k_means_lloyd.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_cluster__k_means_lloyd.pyx.c.o [142/251] Compiling C object sklearn/cluster/_hdbscan/_linkage.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_cluster__hdbscan__linkage.pyx.c.o [143/251] Compiling C object sklearn/cluster/_k_means_minibatch.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_cluster__k_means_minibatch.pyx.c.o [144/251] Compiling C object sklearn/cluster/_k_means_common.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_cluster__k_means_common.pyx.c.o [145/251] Compiling C object sklearn/cluster/_k_means_elkan.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_cluster__k_means_elkan.pyx.c.o [146/251] Compiling C object sklearn/cluster/_hdbscan/_reachability.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_cluster__hdbscan__reachability.pyx.c.o [147/251] Compiling C object sklearn/ensemble/_gradient_boosting.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_ensemble__gradient_boosting.pyx.c.o [148/251] Compiling C object sklearn/decomposition/_cdnmf_fast.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_decomposition__cdnmf_fast.pyx.c.o [149/251] Compiling C object sklearn/cluster/_hdbscan/_tree.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_cluster__hdbscan__tree.pyx.c.o [150/251] Compiling C object sklearn/decomposition/_online_lda_fast.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_decomposition__online_lda_fast.pyx.c.o [151/251] Compiling C object sklearn/ensemble/_hist_gradient_boosting/_binning.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_ensemble__hist_gradient_boosting__binning.pyx.c.o [152/251] Compiling C object sklearn/ensemble/_hist_gradient_boosting/_gradient_boosting.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_ensemble__hist_gradient_boosting__gradient_boosting.pyx.c.o [153/251] Compiling C object sklearn/ensemble/_hist_gradient_boosting/common.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_ensemble__hist_gradient_boosting_common.pyx.c.o [154/251] Compiling C object sklearn/ensemble/_hist_gradient_boosting/_predictor.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_ensemble__hist_gradient_boosting__predictor.pyx.c.o [155/251] Compiling C object sklearn/ensemble/_hist_gradient_boosting/histogram.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_ensemble__hist_gradient_boosting_histogram.pyx.c.o [156/251] Compiling C object sklearn/ensemble/_hist_gradient_boosting/splitting.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_ensemble__hist_gradient_boosting_splitting.pyx.c.o [157/251] Compiling C object sklearn/ensemble/_hist_gradient_boosting/_bitset.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_ensemble__hist_gradient_boosting__bitset.pyx.c.o [158/251] Compiling C++ object sklearn/feature_extraction/_hashing_fast.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_feature_extraction__hashing_fast.pyx.cpp.o [159/251] Compiling C object sklearn/datasets/_svmlight_format_fast.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_datasets__svmlight_format_fast.pyx.c.o sklearn/datasets/_svmlight_format_fast.cpython-313-powerpc64le-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; | ^~~~~~~~~~ [160/251] Compiling C object sklearn/_loss/_loss.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn__loss__loss.pyx.c.o [161/251] Compiling C object sklearn/manifold/_utils.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_manifold__utils.pyx.c.o [162/251] Compiling C++ object sklearn/neighbors/_partition_nodes.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_neighbors__partition_nodes.pyx.cpp.o [163/251] Compiling C object sklearn/manifold/_barnes_hut_tsne.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_manifold__barnes_hut_tsne.pyx.c.o [164/251] Compiling C object sklearn/linear_model/_sgd_fast.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_linear_model__sgd_fast.pyx.c.o [165/251] Compiling C object sklearn/linear_model/_sag_fast.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_linear_model__sag_fast.pyx.c.o [166/251] Compiling C++ object sklearn/svm/_newrand.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_svm__newrand.pyx.cpp.o [167/251] Linking static target sklearn/svm/liblibsvm-skl.a [168/251] Compiling C object sklearn/linear_model/_cd_fast.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_linear_model__cd_fast.pyx.c.o [169/251] Compiling C object sklearn/neighbors/_quad_tree.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_neighbors__quad_tree.pyx.c.o [170/251] Linking static target sklearn/svm/libliblinear-skl.a [171/251] Compiling C object sklearn/svm/_libsvm.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_svm__libsvm.pyx.c.o [172/251] Compiling C object sklearn/svm/_liblinear.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_svm__liblinear.pyx.c.o [173/251] Compiling C object sklearn/svm/_libsvm_sparse.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_svm__libsvm_sparse.pyx.c.o [174/251] Compiling C object sklearn/preprocessing/_csr_polynomial_expansion.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_preprocessing__csr_polynomial_expansion.pyx.c.o [175/251] Compiling C object sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_neighbors__ball_tree.pyx.c.o sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:55786:19: sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:41964:19: sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-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-powerpc64le-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-powerpc64le-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; | ^~~~~~~~~~~~~~~~~~~~~ [176/251] Compiling C object sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_neighbors__kd_tree.pyx.c.o sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:55654:19: sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-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-powerpc64le-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-powerpc64le-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-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:41832:19: sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-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-powerpc64le-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-powerpc64le-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] Generating sklearn/write_built_with_meson_file with a custom command [178/251] Linking target sklearn/_isotonic.cpython-313-powerpc64le-linux-gnu.so [179/251] Linking target sklearn/__check_build/_check_build.cpython-313-powerpc64le-linux-gnu.so [180/251] Compiling C++ object sklearn/preprocessing/_target_encoder_fast.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_preprocessing__target_encoder_fast.pyx.cpp.o [181/251] Compiling C object sklearn/tree/_splitter.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_tree__splitter.pyx.c.o [182/251] Compiling C object sklearn/tree/_utils.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_tree__utils.pyx.c.o [183/251] Compiling C object sklearn/tree/_partitioner.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_tree__partitioner.pyx.c.o [184/251] Compiling C object sklearn/tree/_criterion.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_tree__criterion.pyx.c.o [185/251] Linking target sklearn/utils/sparsefuncs_fast.cpython-313-powerpc64le-linux-gnu.so [186/251] Linking target sklearn/utils/arrayfuncs.cpython-313-powerpc64le-linux-gnu.so [187/251] Linking target sklearn/utils/murmurhash.cpython-313-powerpc64le-linux-gnu.so [188/251] Linking target sklearn/utils/_cython_blas.cpython-313-powerpc64le-linux-gnu.so [189/251] Linking target sklearn/utils/_heap.cpython-313-powerpc64le-linux-gnu.so [190/251] Linking target sklearn/utils/_fast_dict.cpython-313-powerpc64le-linux-gnu.so [191/251] Linking target sklearn/utils/_sorting.cpython-313-powerpc64le-linux-gnu.so [192/251] Linking target sklearn/utils/_openmp_helpers.cpython-313-powerpc64le-linux-gnu.so [193/251] Linking target sklearn/utils/_typedefs.cpython-313-powerpc64le-linux-gnu.so [194/251] Linking target sklearn/utils/_random.cpython-313-powerpc64le-linux-gnu.so [195/251] Linking target sklearn/utils/_seq_dataset.cpython-313-powerpc64le-linux-gnu.so [196/251] Linking target sklearn/utils/_vector_sentinel.cpython-313-powerpc64le-linux-gnu.so [197/251] Linking target sklearn/utils/_isfinite.cpython-313-powerpc64le-linux-gnu.so [198/251] Linking target sklearn/utils/_weight_vector.cpython-313-powerpc64le-linux-gnu.so [199/251] Linking target sklearn/metrics/_pairwise_fast.cpython-313-powerpc64le-linux-gnu.so [200/251] Linking target sklearn/metrics/_pairwise_distances_reduction/_base.cpython-313-powerpc64le-linux-gnu.so [201/251] Linking target sklearn/metrics/_pairwise_distances_reduction/_datasets_pair.cpython-313-powerpc64le-linux-gnu.so [202/251] Compiling C++ object sklearn/tree/_tree.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_tree__tree.pyx.cpp.o In file included from /usr/include/c++/14/ppc64le-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-powerpc64le-linux-gnu.so.p/sklearn/tree/_tree.pyx.cpp:1266: In member function ‘std::__new_allocator::construct(long*, long const&)void’, inlined from ‘std::allocator_traits >::construct(std::allocator&, long*, long const&)void’ at /usr/include/c++/14/bits/alloc_traits.h:569:17, inlined from ‘std::deque >::_M_push_back_aux(long const&)void’ at /usr/include/c++/14/bits/deque.tcc:501:30, inlined from ‘std::deque >::push_back(long const&)’ at /usr/include/c++/14/bits/stl_deque.h:1548:20, inlined from ‘std::stack > >::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-powerpc64le-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-powerpc64le-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-powerpc64le-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; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [203/251] Linking target 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/builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/utils/tests/test_testing.py [884/889] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/utils/tests/test_typedefs.py [885/889] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/utils/tests/test_unique.py [886/889] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/utils/tests/test_user_interface.py [887/889] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/utils/tests/test_utils.py [888/889] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/utils/tests/test_validation.py [889/889] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/utils/tests/test_weight_vector.py 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_ppc64le.whl size=49874466 sha256=664906ef5a018fadfe53fe04a8faa9fdeda0cac977daac06f51af5e0ae077022 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.8gLmco + 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 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection ' + 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 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection ' + 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 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection -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 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -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 ++ 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_ppc64le.whl ++ xargs basename --multiple ++ 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_ppc64le.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.ppc64le-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.ppc64le-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.ppc64le-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.ppc64le-pyproject-files --output-modules /builddir/build/BUILD/python-scikit-learn-1.6.0-build/python-scikit-learn-1.6.0-1.fc42.ppc64le-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.ppc64le-pyproject-record --prefix /usr sklearn + /usr/bin/find-debuginfo -j5 --strict-build-id -m -i --build-id-seed 1.6.0-1.fc42 --unique-debug-suffix -1.6.0-1.fc42.ppc64le --unique-debug-src-base python-scikit-learn-1.6.0-1.fc42.ppc64le --run-dwz --dwz-low-mem-die-limit 10000000 --dwz-max-die-limit 50000000 -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.ppc64le cpio: .mesonpy-a07h1r5u/: Cannot stat: No such file or directory cpio: .mesonpy-a07h1r5u/sklearn/__check_build/_check_build.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/__check_build/_check_build.pyx.c: Cannot stat: No such file or directory cpio: .mesonpy-a07h1r5u/sklearn/_isotonic.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/_isotonic.pyx.c: Cannot stat: No such file or directory cpio: .mesonpy-a07h1r5u/sklearn/_loss/_loss.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/_loss/_loss.pyx.c: Cannot stat: No such file or directory cpio: .mesonpy-a07h1r5u/sklearn/cluster/_dbscan_inner.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/cluster/_dbscan_inner.pyx.cpp: Cannot stat: No such file or directory cpio: .mesonpy-a07h1r5u/sklearn/cluster/_hdbscan/_linkage.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/cluster/_hdbscan/_linkage.pyx.c: 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/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.lIuI2I ~/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 + 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 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection ' + 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 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection ' + 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 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection -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 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -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 + 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 --deselect 'sklearn/tests/test_calibration.py::test_calibrated_classifier_cv_zeros_sample_weights_equivalence[True-isotonic]' 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 37602 items / 41 deselected / 1 skipped / 37561 selected 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[100%] =============================== 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=12747) 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: 8.876533008162483e-05 coefs, _, _, _ = cd_fast.enet_coordinate_descent_gram( sklearn/covariance/tests/test_graphical_lasso.py::test_graphical_lasso_n_iter[cd] /builddir/build/BUILD/python-scikit-learn-1.6.0-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: 0.0010103266374811848, 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: 0.002290488556457221, 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: 7 warnings sklearn/tree/tests/test_tree.py: 73 warnings sklearn/utils/tests/test_response.py: 1 warning /builddir/build/BUILD/python-scikit-learn-1.6.0-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: 4 warnings sklearn/linear_model/tests/test_common.py: 2 warnings sklearn/linear_model/tests/test_logistic.py: 1 warning 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[ExtraTreesClassifier] /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--ngram_range3-\\w+--'preprocessor'-'analyzer'-is callable-CountVectorizer] sklearn/feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None--ngram_range3-\\w+--'preprocessor'-'analyzer'-is callable-HashingVectorizer] sklearn/feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None--ngram_range3-\\w+--'preprocessor'-'analyzer'-is callable-TfidfVectorizer] sklearn/feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None--ngram_range3-\\w+--'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: 47 warnings sklearn/model_selection/tests/test_search.py: 30 warnings sklearn/svm/tests/test_svm.py: 17 warnings sklearn/tests/test_calibration.py: 16 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_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/gaussian_process/tests/test_gpr.py::test_gpr_predict_input_not_modified /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 constant_value is close to the specified upper bound 100000.0. Increasing the bound and calling fit again may find a better value. warnings.warn( sklearn/gaussian_process/tests/test_gpr.py::test_gpr_predict_input_not_modified /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/_gpr.py:478: UserWarning: Predicted variances smaller than 0. Setting those variances to 0. warnings.warn( sklearn/impute/tests/test_common.py: 16 warnings sklearn/impute/tests/test_impute.py: 1 warning /builddir/build/BUILD/python-scikit-learn-1.6.0-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: 33 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: 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::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] 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: 0.03665116082126474, 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: 0.04969958357784776, 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: 0.049411270700723264, 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: 0.04722432742701699, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-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: 0.046291037930210166, 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: 0.045079552594458505, 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: 0.04497849784791441, 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: 0.044883255312342385, 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: 0.044793560699559976, 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: 0.04470915142438514, 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: 0.04462976849809053, 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: 0.04455515804885124, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-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: 0.044485072521489144, 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: 0.044419271609719146, 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: 0.04435752295592721, 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: 0.04429960265618149, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-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: 0.04424529560595403, 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: 0.04419439569975481, 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: 0.04414670592716874, 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: 0.044102038368627916, 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: 0.044060214116868224, 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: 0.04402106313521159, 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: 0.043984424067019745, 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: 0.043950144009222925, 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: 0.04391807825059857, 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: 0.043888089987724754, 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: 0.0438600500359243, 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: 0.043833836517656266, 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: 0.04380933454928737, 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: 0.04378643592678344, 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: 0.04376503881808702, 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: 0.04374504744347263, 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: 0.04372637178159522, 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: 0.04370892726333864, 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: 0.04369263448816696, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-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: 0.04367741894232324, 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: 0.04366321073259627, 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: 0.04364994432637559, 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: 0.04363755829844962, 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: 0.04362599509759946, 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: 0.043605125003821854, 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: 0.043595720392701764, 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: 0.04357110572059497, 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: 0.043563971406797464, 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: 0.05358147192696805, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-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: 0.04859875636764599, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-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: 0.04791705145461833, 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: 0.047241919318878445, 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: 0.046578045200298845, 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: 0.045929130613068025, 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: 0.04529804664741732, 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: 0.044686965607617424, 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: 0.044097473920999164, 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: 0.04246754647532214, 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: 0.041971664074210935, 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: 0.04149944977886122, 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: 0.03703434797959204, 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: 0.03683779744267213, 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: 0.03554158105376359, 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: 0.03436089751588156, 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: 0.03429278536339808, 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: 0.03427304806398723, 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: 0.03417948737626375, 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: 0.013600403306909925, 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: 0.04033257137916024, 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: 0.0423382875736209, 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: 0.04539150315670071, 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: 0.04655165148309237, 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: 0.04750425703219463, 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: 0.04827386488005203, 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: 0.04888295807553078, 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: 0.049352014011248, 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: 0.04969958357787618, 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: 0.04994238724839306, 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: 0.05009542273018752, 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: 0.05017207971274473, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-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: 0.050184258042868635, 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: 0.0501424863794, 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: 0.05005603901084754, 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: 0.04993304906688678, 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: 0.049780616820470414, 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: 0.04960491216854024, 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: 0.04941127070079432, 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: 0.0492042830283026, 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: 0.04898787725286269, 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: 0.048765394618769164, 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: 0.04853965851595632, 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: 0.04831303709109136, 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: 0.048087499789332355, 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: 0.04786466819189883, 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: 0.047645861537745304, 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: 0.04743213733021889, 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: 0.04722432742719462, 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: 0.047023070006645185, 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: 0.04682883778481539, 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: 0.04664196284659994, 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: 0.04646265842220032, 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: 0.0462910379303878, 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: 0.046127131574245084, 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: 0.045970900760735844, 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: 0.045822250586354585, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-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: 0.045681040612898016, 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: 0.04554709413292102, 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: 0.045420206107820604, 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: 0.04530014993879661, 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: 0.045186683219171186, 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: 0.045079552594707195, 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: 0.044978497848205734, 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: 0.04488325531269055, 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: 0.04479356069984419, 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: 0.044709151424626725, 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: 0.04462976849841027, 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: 0.04455515804941257, 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: 0.04448507252178047, 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: 0.04441927160981862, 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: 0.04435752295574247, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-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: 0.04429960265680677, 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: 0.04424529560667878, 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: 0.04419439570062167, 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: 0.044146705928000074, 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: 0.04410203836916082, 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: 0.04406021411746508, 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: 0.0440210631354816, 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: 0.043984424067453176, 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: 0.04395014401035979, 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: 0.04391807825034988, 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: 0.04388808998876925, 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: 0.04386005003743776, 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: 0.04383383651893524, 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: 0.043809334549202106, 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: 0.0437864359277782, 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: 0.043765038820502866, 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: 0.043745047446414276, 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: 0.04372637178289551, 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: 0.04370892726500131, 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: 0.04369263449021332, 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: 0.04367741894387933, 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: 0.04366321073580792, 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: 0.043649944329970936, 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: 0.04363755830249971, 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: 0.04362599510142218, 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: 0.04361520082640169, 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: 0.04360512500886671, 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: 0.04359572039515314, 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: 0.04358694277777886, 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: 0.04357875078998319, 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: 0.04357110572535561, 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: 0.04356397141301471, 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: 0.0224219960587817, 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: 0.04823630960414249, 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: 0.051523864985583145, 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: 0.05256396561012622, 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: 0.05317106552984541, 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: 0.05349220795534393, 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: 0.05358147192694673, 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: 0.053481968525559864, 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: 0.0532302264104203, 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: 0.05285720874952915, 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: 0.052389095282755704, 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: 0.05184795600128922, 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: 0.05125233361098225, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-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: 0.05061774695154497, 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: 0.049957125879132036, 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: 0.049281186741396255, 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: 0.0485987563676602, 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: 0.04791705145463965, 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: 0.04724191931888555, 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: 0.04657804520035569, 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: 0.04592913061312487, 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: 0.04529804664756654, 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: 0.04468696560763874, 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: 0.04409747392099206, 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: 0.04353066886614698, 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: 0.042987241325320724, 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: 0.04246754647547846, 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: 0.04197166407433883, 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: 0.041499449778854114, 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: 0.04105057873822204, 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: 0.040624582537006404, 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: 0.04022088042307814, 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: 0.03983880562217479, 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: 0.03947762743818117, 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: 0.039136569740371385, 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: 0.03881482635760847, 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: 0.038511573829829615, 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: 0.038225981900957606, 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: 0.03795722209210339, 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: 0.037704474637500596, 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: 0.037466934035983, 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: 0.037243813427267014, 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: 0.03703434797978389, 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: 0.0368377974430345, 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: 0.03665344800343462, 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: 0.03648061355829668, 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: 0.03631863650398515, 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: 0.03616688812692814, 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: 0.03602476866547022, 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: 0.035891707107133186, 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: 0.03576716077192543, 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: 0.03565061472443887, 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: 0.03554158105399097, 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: 0.035439598054637145, 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: 0.03534422932775527, 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: 0.03525506283295243, 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: 0.035171709907587, 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: 0.03509380425856534, 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: 0.03502100095762728, 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: 0.03495297542983167, 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: 0.0348894224627756, 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: 0.034830055225803846, 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: 0.03477460431826529, 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: 0.034722816840250914, 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: 0.03467445549875947, 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: 0.0346292977413043, 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: 0.03458713492600651, 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: 0.034547771525687665, 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: 0.03451102436935827, 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: 0.03447672191220619, 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: 0.03444470354968843, 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: 0.03441481895962539, 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: 0.034386927479680196, 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: 0.034360897516513944, 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: 0.034336605992173475, 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: 0.03431393781036007, 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: 0.03429278536372493, 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: 0.03427304806670861, 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: 0.034254631900068944, 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: 0.03423744901126469, 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: 0.03422141730960959, 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: 0.03420646010854966, 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: 0.03419250577065469, 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: 0.03417948737720167, 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: 0.034167342443133464, 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: 0.03415601261266943, 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: 0.03414544339666037, 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=12747) 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/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None] sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None] sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_matrix] sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_array] /usr/lib64/python3.13/site-packages/numpy/_core/fromnumeric.py:86: RuntimeWarning: invalid value encountered in reduce return ufunc.reduce(obj, axis, dtype, out, **passkwargs) sklearn/utils/tests/test_estimator_checks.py::test_check_estimator sklearn/utils/tests/test_estimator_checks.py::test_check_estimator /builddir/build/BUILD/python-scikit-learn-1.6.0-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 = 31793 passed, 5544 skipped, 41 deselected, 151 xfailed, 74 xpassed, 3453 warnings in 1081.18s (0:18:01) = RUNNING THE L-BFGS-B CODE * * * Machine precision = 2.220D-16 N = 2 M = 10 * * * Tit = total number of iterations Tnf = total number of function evaluations Tnint = total number of segments explored during Cauchy searches Skip = number of BFGS updates skipped Nact = number of active bounds at final generalized Cauchy point Projg = norm of the final projected gradient F = final function value * * * N Tit Tnf Tnint Skip Nact Projg F 2 5 7 1 0 0 5.264D-05 -3.750D-01 CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL RUNNING THE L-BFGS-B CODE * * * Machine precision = 2.220D-16 N = 2 M = 10 At X0 0 variables are exactly at the bounds At iterate 0 f= -2.66378D-01 |proj g|= 1.16272D-01 At iterate 1 f= -3.72773D-01 |proj g|= 3.44540D-02 At iterate 2 f= -3.74743D-01 |proj g|= 1.18567D-02 At iterate 3 f= -3.74922D-01 |proj g|= 5.40689D-03 At iterate 4 f= -3.75000D-01 |proj g|= 4.08881D-04 At iterate 5 f= -3.75000D-01 |proj g|= 5.26385D-05 * * * Tit = total number of iterations Tnf = total number of function evaluations Tnint = total number of segments explored during Cauchy searches Skip = number of BFGS updates skipped Nact = number of active bounds at final generalized Cauchy point Projg = norm of the final projected gradient F = final function value * * * N Tit Tnf Tnint Skip Nact Projg F 2 5 7 1 0 0 5.264D-05 -3.750D-01 F = -0.37499999475400758 CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL 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.ppc64le Executing(%doc): /bin/sh -e /var/tmp/rpm-tmp.DYUynV + 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.LOu6mS + 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(ppc-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_2.17)(64bit) libc.so.6(GLIBC_2.32)(64bit) libc.so.6(GLIBC_ABI_DT_RELR)(64bit) libgcc_s.so.1()(64bit) libgcc_s.so.1(GCC_3.0)(64bit) libgcc_s.so.1(GCC_3.3.1)(64bit) libgomp.so.1()(64bit) libgomp.so.1(GOMP_1.0)(64bit) libgomp.so.1(GOMP_4.0)(64bit) libgomp.so.1(OMP_1.0)(64bit) libgomp.so.1(OMP_3.0)(64bit) libm.so.6()(64bit) libm.so.6(GLIBC_2.17)(64bit) libm.so.6(GLIBC_2.23)(64bit) libm.so.6(GLIBC_2.27)(64bit) libm.so.6(GLIBC_2.29)(64bit) libstdc++.so.6()(64bit) libstdc++.so.6(CXXABI_1.3)(64bit) libstdc++.so.6(CXXABI_1.3.8)(64bit) libstdc++.so.6(CXXABI_1.3.9)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.29)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(64bit) python(abi) = 3.13 python3.13dist(joblib) >= 1.2 python3.13dist(numpy) >= 1.19.5 python3.13dist(scipy) >= 1.6 python3.13dist(threadpoolctl) >= 3.1 rtld(GNU_HASH) Obsoletes: python-sklearn < 1.6.0-1.fc42 python3-scikit_learn < 1.5.2-2 Processing files: python-scikit-learn-debugsource-1.6.0-1.fc42.ppc64le Provides: python-scikit-learn-debugsource = 1.6.0-1.fc42 python-scikit-learn-debugsource(ppc-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.ppc64le Provides: debuginfo(build-id) = 098c7caa4d72b0fa4e89e2836e93c3f0647ca048 debuginfo(build-id) = 0cfe626896273113178d4163eb8247080dcaebbe debuginfo(build-id) = 1112a4f895ada47c846f9cf192b591bd32298d1b debuginfo(build-id) = 11a31150d201c2bf9a27e789c3a0b25b4dd13d79 debuginfo(build-id) = 11c8742f6e3123a33ed4b7de6245b1710d1c996d debuginfo(build-id) = 133e997aabe55bafddac61632053cb9e0b901994 debuginfo(build-id) = 155bc184d9db9b7462e36659afbd71dd21c379d1 debuginfo(build-id) = 1a74741386a366e49771519d4911baa2fde7d68d debuginfo(build-id) = 1b4cfa164b62c79ef0e66383aa690fd4403978d0 debuginfo(build-id) = 1f1a2494dccf13d8a8f6221f0f7390315c9056c8 debuginfo(build-id) = 255e228828f2026adebc8f98e99fce9d94f06833 debuginfo(build-id) = 269c15aba1c4d48747bfce2566088bed2813a402 debuginfo(build-id) = 297795e179a1a53c519155a488ef29f0b58d8e47 debuginfo(build-id) = 2a244749b3a4f4a3555b2fa93d9226863caf4174 debuginfo(build-id) = 2cb29ca937ec712d5339b26075632ec85325a944 debuginfo(build-id) = 3334c4f4109c5adc62609cb9dc840b6fe3f265ce debuginfo(build-id) = 385f79c699309c2a0951273c373ec246e28ffffd debuginfo(build-id) = 3ece7dcefccf49c0e66a802fca82e67ab1632eb7 debuginfo(build-id) = 45dfa16e2d3e77886e88ba6a740b883db64e0ecc debuginfo(build-id) = 460c2ea7ff187088d5f12c994addd3cc79250a01 debuginfo(build-id) = 4a2535c16435dfde2c78da89153f16babb693b79 debuginfo(build-id) = 4f3aa07a5dbbf7205f984b71b1f077836856b59f debuginfo(build-id) = 52ce75a77e289fb11354df3605a4656fdbf0469e debuginfo(build-id) = 5849ecfbc01787d7759f33fba7a4a8597ce30448 debuginfo(build-id) = 5bb531e54dac617d2bba2eb68c00a68d83a63143 debuginfo(build-id) = 623633b0b35ca593a44bd3d7253cb850a9586387 debuginfo(build-id) = 66ea73d75998dfe9a8bf4ed20ca96b311da94424 debuginfo(build-id) = 67484e7bade013bbe7c4e288900ee930cedba279 debuginfo(build-id) = 6786080f5efc6b89ca9db7364ac9140e4d3cd168 debuginfo(build-id) = 67cfb243716355af99479da57c0bba09dcdf3375 debuginfo(build-id) = 68cc829e18f8ae28db1f3039c01006015250b621 debuginfo(build-id) = 6aab0853f485891e367e42cc08fb0a1b6d7cff33 debuginfo(build-id) = 72bd0c209d88feecf7a081173f42bef75722a470 debuginfo(build-id) = 783ada808201e41de9b191c695d7c7108a632bc6 debuginfo(build-id) = 7bd9ad10225f6799c20602aa472a17ce5ea42de3 debuginfo(build-id) = 7e8e4d37067128b61f9c7bf58952b458cd249513 debuginfo(build-id) = 87ea937692d40af9ff9ce294987bb918169ea954 debuginfo(build-id) = 8ae4e01a36b9b2e35cbf49ccc555206d4c46eb02 debuginfo(build-id) = 8ba6ff98513fd94a826094dfb1cb7d68c5ebdadf debuginfo(build-id) = 8d1d57f4ca10f8aebdb444dd8746d500c4fd22b6 debuginfo(build-id) = 8d7d56d8f0823cbbb0f37f3c42d829699bb72982 debuginfo(build-id) = 9102ec4f6b8898b22991b2f0d454fead4aca4a21 debuginfo(build-id) = 95af67f9bcf71468a18b00ee3d7d3a87a3eaa11f debuginfo(build-id) = 95bf9481860a0df467451d67d54914804ef3ef8c debuginfo(build-id) = 96a945ec166fbd0ba0467c778dc16a657dc4755a debuginfo(build-id) = 9be84c16abd4e82f22e36ea410598638b0fbf6c5 debuginfo(build-id) = a1816390311e7c69182a49e5e717a87fc71cce39 debuginfo(build-id) = aa4c19b921bd6e631c0bfbcb7b495cfa6f06a068 debuginfo(build-id) = ac062408bcad92abd445b11ed04648bfcdc5b2f1 debuginfo(build-id) = b802c53bcc827d35c09c31b406657869a5335f1a debuginfo(build-id) = bc0f81aa0f78eeca71ee4689d86190a10045628e debuginfo(build-id) = bc17d71d47422f6b356990a03dcf209d3e2fada5 debuginfo(build-id) = be01b95c8b8629d51134f4e117833383783b101d debuginfo(build-id) = cc52d2b7c1e9418ef054e14e6d25fd5f21066818 debuginfo(build-id) = cd92b1f6c07d3f8a2976133869ff16bf5370fff7 debuginfo(build-id) = d0c60f7f2886df6e1f623bc45292c366c6423738 debuginfo(build-id) = d3793c27a43cd436a97459aeff1e41b88361ec2f debuginfo(build-id) = d5d060e1f6c4ff4f8c4c622e3ff0ec57a1d4d477 debuginfo(build-id) = d74256b4da17c887378ae5db081be73a38c45194 debuginfo(build-id) = ded8a62c9810a6d6905aa3e1ee7cb6a70286030d debuginfo(build-id) = e498cb22a3be9099bd306d9a369f61d7a904335c debuginfo(build-id) = e70229750f3036534d5b6cac3fa5959de5d8c4da debuginfo(build-id) = e86e938c770c84dc23248a1114bff5f70dfb0ca3 debuginfo(build-id) = f41e5c6310a45a1f65fec6af8fd4d5b6a18ad5e2 debuginfo(build-id) = f99b8b71f23f94590260abec4d30d1536c49c776 debuginfo(build-id) = fa81317b8e0c7e5435a21059a539828eb55d1bcd debuginfo(build-id) = fc93890d129a432f0a4e82055c06474143a3a180 debuginfo(build-id) = fd59f6b200d7761f090c4067e72db6f306cb4c80 python-scikit-learn-debuginfo = 1.6.0-1.fc42 python3-scikit-learn-debuginfo = 1.6.0-1.fc42 python3-scikit-learn-debuginfo(ppc-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(ppc-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.ppc64le.rpm Wrote: /builddir/build/RPMS/python3-scikit-learn-1.6.0-1.fc42.ppc64le.rpm Wrote: /builddir/build/RPMS/python3-scikit-learn-debuginfo-1.6.0-1.fc42.ppc64le.rpm Executing(rmbuild): /bin/sh -e /var/tmp/rpm-tmp.P0lYrN + 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-ppc64le-1734619121.128451/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) 29 minutes 28 seconds INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results INFO: Cleaning up build root ('cleanup_on_success=True') Start: clean chroot INFO: unmounting tmpfs. Finish: clean chroot Finish: run Running RPMResults tool Package info: { "packages": [ { "name": "python3-scikit-learn-debuginfo", "epoch": null, "version": "1.6.0", "release": "1.fc42", "arch": "ppc64le" }, { "name": "python3-scikit-learn", "epoch": null, "version": "1.6.0", "release": "1.fc42", "arch": "ppc64le" }, { "name": "python-scikit-learn-debugsource", "epoch": null, "version": "1.6.0", "release": "1.fc42", "arch": "ppc64le" }, { "name": "python-scikit-learn", "epoch": null, "version": "1.6.0", "release": "1.fc42", "arch": "src" } ] } RPMResults finished