Warning: Permanently added '2620:52:6:1161:dead:beef:cafe:c10b' (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/11038149-fedora-45-ppc64le --chroot fedora-45-ppc64le Version: 1.10 PID: 5815 Logging PID: 5817 Task: {'allow_user_ssh': False, 'appstream': False, 'background': False, 'build_id': 11038149, 'buildroot_pkgs': [], 'chroot': 'fedora-45-ppc64le', 'enable_net': False, 'fedora_review': False, 'git_hash': 'd2471076ee20f57ad0e68e4395825a2bf172dc6e', 'git_repo': 'https://copr-dist-git.fedorainfracloud.org/git/music/meson-python-f45/python-scikit-learn', 'isolation': 'default', 'memory_reqs': 2048, 'package_name': 'python-scikit-learn', 'package_version': '1.8.0-2', 'project_dirname': 'meson-python-f45', 'project_name': 'meson-python-f45', 'project_owner': 'music', 'repo_priority': None, 'repos': [{'baseurl': 'https://download.copr.fedorainfracloud.org/results/music/meson-python-f45/fedora-45-ppc64le/', 'id': 'copr_base', 'name': 'Copr repository', 'priority': None, 'repo_gpgcheck': False}], 'sandbox': 'music/meson-python-f45--music', 'source_json': {}, 'source_type': None, 'ssh_public_keys': None, 'storage': 1, 'submitter': 'music', 'tags': [], 'task_id': '11038149-fedora-45-ppc64le', 'timeout': 18000, 'uses_devel_repo': False, 'with_opts': [], 'without_opts': []} Running: git clone https://copr-dist-git.fedorainfracloud.org/git/music/meson-python-f45/python-scikit-learn /var/lib/copr-rpmbuild/workspace/workdir-toljjslv/python-scikit-learn --depth 500 --no-single-branch --recursive cmd: ['git', 'clone', 'https://copr-dist-git.fedorainfracloud.org/git/music/meson-python-f45/python-scikit-learn', '/var/lib/copr-rpmbuild/workspace/workdir-toljjslv/python-scikit-learn', '--depth', '500', '--no-single-branch', '--recursive'] cwd: . rc: 0 stdout: stderr: Cloning into '/var/lib/copr-rpmbuild/workspace/workdir-toljjslv/python-scikit-learn'... Running: git checkout d2471076ee20f57ad0e68e4395825a2bf172dc6e -- cmd: ['git', 'checkout', 'd2471076ee20f57ad0e68e4395825a2bf172dc6e', '--'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-toljjslv/python-scikit-learn rc: 0 stdout: stderr: Note: switching to 'd2471076ee20f57ad0e68e4395825a2bf172dc6e'. 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 d247107 automatic import of python-scikit-learn Running: dist-git-client sources cmd: ['dist-git-client', 'sources'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-toljjslv/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-1.8.0.tar.gz INFO: Reading stdout from command: curl --help all INFO: Calling: curl -H Pragma: -H 'Accept-Encoding: identity' -o scikit_learn-1.8.0.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/music/meson-python-f45/python-scikit-learn/scikit_learn-1.8.0.tar.gz/md5/b0c715e163cb90b08bf964822a230b21/scikit_learn-1.8.0.tar.gz % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed tail: /var/lib/copr-rpmbuild/main.log: file truncated 100 6.99M 100 6.99M 0 0 19.10M 0 0 INFO: Reading stdout from command: md5sum scikit_learn-1.8.0.tar.gz Running (timeout=18000): unbuffer mock --spec /var/lib/copr-rpmbuild/workspace/workdir-toljjslv/python-scikit-learn/python-scikit-learn.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-toljjslv/python-scikit-learn --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1790417325.832578 -r /var/lib/copr-rpmbuild/results/configs/child.cfg INFO: mock.py version 6.8 starting (python version = 3.14.5, NVR = mock-6.8-1.fc44), args: /usr/libexec/mock/mock --spec /var/lib/copr-rpmbuild/workspace/workdir-toljjslv/python-scikit-learn/python-scikit-learn.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-toljjslv/python-scikit-learn --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1790417325.832578 -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-toljjslv/python-scikit-learn/python-scikit-learn.spec) Config(fedora-45-ppc64le) Start: clean chroot Finish: clean chroot Mock Version: 6.8 INFO: Mock Version: 6.8 Start(bootstrap): chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-45-ppc64le-bootstrap-1790417325.832578/root. INFO: calling preinit hooks INFO: enabled root cache INFO: enabled package manager cache Start(bootstrap): cleaning package manager metadata Finish(bootstrap): cleaning package manager metadata INFO: Guessed host environment type: unknown INFO: Using container image: registry.fedoraproject.org/fedora:45 INFO: Pulling image: registry.fedoraproject.org/fedora:45 INFO: Tagging container image as mock-bootstrap-13d822fa-683e-4d7a-a576-01037c193052 INFO: Checking that 13edb92af44b5c80615a57b50e8b171dad320f3426af39280fd5ca481baf740a image matches host's architecture INFO: Copy content of container 13edb92af44b5c80615a57b50e8b171dad320f3426af39280fd5ca481baf740a to /var/lib/mock/fedora-45-ppc64le-bootstrap-1790417325.832578/root INFO: mounting 13edb92af44b5c80615a57b50e8b171dad320f3426af39280fd5ca481baf740a with podman image mount INFO: image 13edb92af44b5c80615a57b50e8b171dad320f3426af39280fd5ca481baf740a as /var/lib/containers/storage/overlay/89f0743a214c00512b9476b0144d3d2342d23e11deaac24bdbb7a1ee16fdc6a9/merged INFO: umounting image 13edb92af44b5c80615a57b50e8b171dad320f3426af39280fd5ca481baf740a (/var/lib/containers/storage/overlay/89f0743a214c00512b9476b0144d3d2342d23e11deaac24bdbb7a1ee16fdc6a9/merged) with podman image umount INFO: Removing image mock-bootstrap-13d822fa-683e-4d7a-a576-01037c193052 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-45-ppc64le-1790417325.832578/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-6.1.0-1.fc45.ppc64le rpm-sequoia-1.10.3-1.fc45.ppc64le dnf5-5.4.5.0-1.fc45.ppc64le dnf5-plugins-5.4.5.0-1.fc45.ppc64le Start: installing minimal buildroot with dnf5 Updating and loading repositories: updates 100% | 21.0 KiB/s | 9.7 KiB | 00m00s Copr repository 100% | 1.9 KiB/s | 2.8 KiB | 00m01s fedora 100% | 14.6 MiB/s | 34.4 MiB | 00m02s Repositories loaded. Package Arch Version Repository Size Installing group/module packages: bash ppc64le 0:5.3.15-2.fc45 fedora 8.9 MiB bzip2 ppc64le 0:1.0.8-24.fc45 fedora 170.8 KiB coreutils ppc64le 0:9.11-6.fc45 fedora 9.6 MiB cpio ppc64le 0:2.15-10.fc45 fedora 1.2 MiB diffutils ppc64le 0:3.12-6.fc45 fedora 1.7 MiB fedora-release-common noarch 0:45-0.10 fedora 4.2 KiB findutils ppc64le 1:4.11.0-2.fc45 fedora 2.1 MiB gawk ppc64le 0:5.4.1-1.fc45 fedora 3.2 MiB glibc-minimal-langpack ppc64le 0:2.44-1.fc45 fedora 0.0 B grep ppc64le 0:3.12-4.fc45 fedora 1.0 MiB gzip ppc64le 0:1.14-4.fc45 fedora 437.4 KiB info ppc64le 0:7.3-3.fc45 fedora 488.1 KiB patch ppc64le 0:2.8-5.fc45 fedora 262.3 KiB redhat-rpm-config noarch 0:345-4.fc45 fedora 184.2 KiB rpm-build ppc64le 0:6.1.0-1.fc45 fedora 679.8 KiB sed ppc64le 0:4.10-2.fc45 fedora 942.3 KiB shadow-utils ppc64le 2:4.20.0-1.fc45 fedora 4.8 MiB tar ppc64le 2:1.35-10.fc45 fedora 3.1 MiB unzip ppc64le 0:6.0-71.fc45 fedora 533.4 KiB util-linux ppc64le 0:2.42.2-3.fc45 fedora 7.0 MiB which ppc64le 0:2.25-2.fc45 fedora 123.4 KiB xz ppc64le 1:5.8.3-2.fc45 fedora 1.5 MiB Installing dependencies: R-srpm-macros noarch 0:1.3.7-3.fc45 fedora 3.5 KiB add-determinism ppc64le 0:0.7.3-3.fc45 fedora 2.3 MiB alternatives ppc64le 0:1.33-6.fc45 fedora 89.9 KiB ansible-srpm-macros noarch 0:1-22.fc45 fedora 35.7 KiB audit-libs ppc64le 0:4.2.1-2.fc45 fedora 550.2 KiB binutils ppc64le 0:2.47-1.fc45 fedora 33.7 MiB build-reproducibility-srpm-macros noarch 0:0.7.3-3.fc45 fedora 1.2 KiB bzip2-libs ppc64le 0:1.0.8-24.fc45 fedora 136.4 KiB ca-certificates noarch 0:2026.2.90_v9.0.317-1.fc45 fedora 2.6 MiB cmake-srpm-macros noarch 0:4.3.0-5.fc45 fedora 524.0 B coreutils-common ppc64le 0:9.11-6.fc45 fedora 10.9 MiB crypto-policies noarch 0:20260713-2.gitc42da77.fc45 fedora 134.3 KiB curl ppc64le 0:8.21.0-5.fc45 fedora 527.9 KiB cyrus-sasl-lib ppc64le 0:2.1.28-37.fc45 fedora 2.9 MiB debugedit ppc64le 0:5.3-3.fc45 fedora 384.4 KiB dwz ppc64le 0:0.17-3.fc45 fedora 386.6 KiB ed ppc64le 0:1.22.6-1.fc45 fedora 222.8 KiB efi-srpm-macros noarch 0:6-9.fc45 fedora 40.3 KiB elfutils ppc64le 0:0.196-1.fc45 fedora 3.4 MiB elfutils-debuginfod-client ppc64le 0:0.196-1.fc45 fedora 143.4 KiB elfutils-libelf ppc64le 0:0.196-1.fc45 fedora 1.5 MiB elfutils-libs ppc64le 0:0.196-1.fc45 fedora 874.5 KiB erlang-srpm-macros noarch 0:0.3.11-2.fc45 fedora 1.9 KiB fedora-gpg-keys noarch 0:45-0.6 fedora 130.3 KiB fedora-release noarch 0:45-0.10 fedora 0.0 B fedora-release-identity-basic noarch 0:45-0.10 fedora 656.0 B fedora-repos noarch 0:45-0.6 fedora 4.9 KiB file ppc64le 0:5.48-3.fc45 fedora 141.8 KiB file-libs ppc64le 0:5.48-3.fc45 fedora 12.4 MiB filesystem ppc64le 0:3.18-59.fc45 fedora 112.0 B filesystem-srpm-macros noarch 0:3.18-59.fc45 fedora 38.2 KiB fips-provider ppc64le 0:1.5.2-3.fc45 fedora 4.7 MiB fonts-srpm-macros noarch 1:5.0.0-4.fc45 fedora 55.8 KiB forge-srpm-macros noarch 0:0.4.0-5.fc45 fedora 38.9 KiB fpc-srpm-macros noarch 0:1.3-17.fc45 fedora 144.0 B gap-srpm-macros noarch 0:2-3.fc45 fedora 2.1 KiB gdb-minimal ppc64le 0:17.2-6.fc45 fedora 16.3 MiB gdbm-libs ppc64le 1:1.23-12.fc45 fedora 233.3 KiB ghc-srpm-macros noarch 0:1.10-2.fc45 fedora 792.0 B glibc ppc64le 0:2.44-1.fc45 fedora 12.0 MiB glibc-common ppc64le 0:2.44-1.fc45 fedora 1.5 MiB glibc-gconv-extra ppc64le 0:2.44-1.fc45 fedora 18.5 MiB gmp ppc64le 1:6.3.0-6.fc45 fedora 786.1 KiB gnat-srpm-macros noarch 0:7-3.fc45 fedora 1.0 KiB gnome-srpm-macros noarch 0:1.0-2.fc45 fedora 3.5 KiB gnulib-l10n noarch 0:20241231-4.fc45 fedora 655.0 KiB gnupg2 ppc64le 0:2.4.9-18.fc45 fedora 6.8 MiB gnupg2-dirmngr ppc64le 0:2.4.9-18.fc45 fedora 837.9 KiB gnupg2-gpg-agent ppc64le 0:2.4.9-18.fc45 fedora 974.1 KiB gnupg2-gpgconf ppc64le 0:2.4.9-18.fc45 fedora 321.5 KiB gnupg2-keyboxd ppc64le 0:2.4.9-18.fc45 fedora 233.1 KiB gnupg2-verify ppc64le 0:2.4.9-18.fc45 fedora 428.1 KiB gnutls ppc64le 0:3.8.13-3.fc45 fedora 4.1 MiB go-srpm-macros noarch 0:3.8.0-3.fc45 fedora 61.9 KiB gpgverify noarch 0:2.2-5.fc45 fedora 8.7 KiB ima-evm-utils-libs ppc64le 0:1.6.2-12.fc45 fedora 92.5 KiB jansson ppc64le 0:2.14-5.fc45 fedora 156.9 KiB java-srpm-macros noarch 0:1-9.fc45 fedora 870.0 B json-c ppc64le 0:0.18-9.fc45 fedora 138.5 KiB kernel-srpm-macros noarch 0:1.0-30.fc45 fedora 1.9 KiB keyutils-libs ppc64le 0:1.6.3-8.fc45 fedora 97.9 KiB krb5-libs ppc64le 0:1.22.2-9.fc45 fedora 3.0 MiB libacl ppc64le 0:2.4.0-2.fc45 fedora 67.6 KiB libarchive ppc64le 0:3.8.8-3.fc45 fedora 1.3 MiB libassuan ppc64le 0:2.5.7-6.fc45 fedora 215.8 KiB libattr ppc64le 0:2.6.0-2.fc45 fedora 68.0 KiB libblkid ppc64le 0:2.42.2-3.fc45 fedora 354.3 KiB libbrotli ppc64le 0:1.2.0-6.fc45 fedora 1.0 MiB libcap ppc64le 0:2.78-2.fc45 fedora 506.7 KiB libcap-ng ppc64le 0:0.9.6-1.fc45 fedora 160.2 KiB libcbor ppc64le 0:0.14.0-3.fc45 fedora 139.5 KiB libcom_err ppc64le 0:1.47.4-2.fc45 fedora 110.9 KiB libcurl ppc64le 0:8.21.0-5.fc45 fedora 1.3 MiB libeconf ppc64le 0:0.7.9-4.fc45 fedora 80.7 KiB libevent ppc64le 0:2.1.13-1.fc45 fedora 1.3 MiB libfdisk ppc64le 0:2.42.2-3.fc45 fedora 482.8 KiB libffi ppc64le 0:3.5.2-3.fc45 fedora 347.5 KiB libfido2 ppc64le 0:1.17.0-5.fc45 fedora 344.6 KiB libfsverity ppc64le 0:1.7-4.fc45 fedora 68.0 KiB libgcc ppc64le 0:16.2.1-2.fc45 fedora 286.4 KiB libgcrypt ppc64le 0:1.12.2-2.fc45 fedora 1.6 MiB libgomp ppc64le 0:16.2.1-2.fc45 fedora 657.0 KiB libgpg-error ppc64le 0:1.61-2.fc45 fedora 1.0 MiB libidn2 ppc64le 0:2.3.8-4.fc45 fedora 560.1 KiB libksba ppc64le 0:1.8.0-3.fc45 fedora 535.0 KiB liblastlog2 ppc64le 0:2.42.2-3.fc45 fedora 137.2 KiB libmount ppc64le 0:2.42.2-3.fc45 fedora 548.3 KiB libnghttp2 ppc64le 0:1.69.0-5.fc45 fedora 197.8 KiB libnghttp3 ppc64le 0:1.18.0-1.fc45 fedora 206.7 KiB libpkgconf ppc64le 0:2.5.1-2.fc45 fedora 133.9 KiB libpsl ppc64le 0:0.23.1-1.fc45 fedora 132.1 KiB librtas ppc64le 0:2.0.7-2.fc45 fedora 320.4 KiB libselinux ppc64le 0:3.11-5.fc45 fedora 329.1 KiB libselinux-utils ppc64le 0:3.11-5.fc45 fedora 1.3 MiB libsemanage ppc64le 0:3.11-4.fc45 fedora 424.1 KiB libsepol ppc64le 0:3.11-2.fc45 fedora 1.0 MiB libsmartcols ppc64le 0:2.42.2-3.fc45 fedora 289.4 KiB libssh ppc64le 0:0.12.2-1.fc45 fedora 913.5 KiB libssh-config noarch 0:0.12.2-1.fc45 fedora 277.0 B libstdc++ ppc64le 0:16.2.1-2.fc45 fedora 4.1 MiB libtasn1 ppc64le 0:4.21.0-2.fc45 fedora 220.4 KiB libtool-ltdl ppc64le 0:2.5.4-11.fc45 fedora 93.8 KiB libunistring ppc64le 0:1.1-12.fc45 fedora 1.9 MiB libusb1 ppc64le 0:1.0.30-2.fc45 fedora 243.5 KiB libuuid ppc64le 0:2.42.2-3.fc45 fedora 69.2 KiB libverto ppc64le 0:0.3.2-13.fc45 fedora 69.0 KiB libxcrypt ppc64le 0:4.5.2-4.fc45 fedora 336.9 KiB libxml2 ppc64le 0:2.13.9-4.fc45 fedora 2.2 MiB libzstd ppc64le 0:1.5.7-6.fc45 fedora 1.1 MiB linkdupes ppc64le 0:0.7.3-3.fc45 fedora 838.4 KiB lua-libs ppc64le 0:5.5.1-2.fc45 fedora 393.9 KiB lua-srpm-macros noarch 0:1-18.fc45 fedora 1.3 KiB lz4-libs ppc64le 0:1.10.0-5.fc45 fedora 261.0 KiB meson-srpm-macros noarch 0:1.12.0-2.fc45 fedora 1.7 KiB mpfr ppc64le 0:4.2.2-4.fc45 fedora 913.4 KiB ncurses-base noarch 0:6.6-3.fc45 fedora 329.7 KiB ncurses-libs ppc64le 0:6.6-3.fc45 fedora 1.5 MiB nettle ppc64le 0:4.0-5.fc45 fedora 965.1 KiB ngtcp2 ppc64le 0:1.22.1-3.fc45 fedora 405.1 KiB ngtcp2-crypto-ossl ppc64le 0:1.22.1-3.fc45 fedora 67.1 KiB npth ppc64le 0:1.8-5.fc45 fedora 93.0 KiB ocaml-srpm-macros noarch 0:11-4.fc45 fedora 1.9 KiB openblas-srpm-macros noarch 0:2-22.fc45 fedora 112.0 B openldap ppc64le 0:2.6.14-1.fc45 fedora 892.8 KiB openssl-libs ppc64le 1:4.0.2-2.fc45 fedora 7.1 MiB p11-kit ppc64le 0:0.26.5-1.fc45 fedora 3.3 MiB p11-kit-trust ppc64le 0:0.26.5-1.fc45 fedora 594.0 KiB package-notes-srpm-macros noarch 0:0.20-2.fc45 fedora 1.6 KiB pam-libs ppc64le 0:1.7.2-4.fc45 fedora 286.0 KiB pcre2 ppc64le 0:10.47-1.fc45.2 fedora 841.8 KiB pcre2-syntax noarch 0:10.47-1.fc45.2 fedora 281.9 KiB perl-srpm-macros noarch 0:1-65.fc45 fedora 861.0 B pkgconf ppc64le 0:2.5.1-2.fc45 fedora 116.6 KiB pkgconf-m4 noarch 0:2.5.1-2.fc45 fedora 14.3 KiB pkgconf-pkg-config ppc64le 0:2.5.1-2.fc45 fedora 990.0 B policycoreutils ppc64le 0:3.11-2.fc45 fedora 1.5 MiB popt ppc64le 0:1.19-11.fc45 fedora 208.6 KiB publicsuffix-list-dafsa noarch 0:20260624-2.fc45 fedora 71.3 KiB pyproject-srpm-macros noarch 0:1.23.2-1.fc45 fedora 3.4 KiB python-srpm-macros noarch 0:3.15-2.fc45 fedora 51.6 KiB qt5-srpm-macros noarch 0:5.15.18-3.fc45 fedora 500.0 B qt6-srpm-macros noarch 0:6.11.2-1.fc45 fedora 472.0 B readline ppc64le 0:8.3-6.fc45 fedora 627.4 KiB redhat-systemd-presets noarch 0:102-3.fc45 fedora 1.0 KiB redhat-systemd-presets-common noarch 0:102-3.fc45 fedora 16.9 KiB rpm ppc64le 0:6.1.0-1.fc45 fedora 4.2 MiB rpm-build-libs ppc64le 0:6.1.0-1.fc45 fedora 327.8 KiB rpm-libs ppc64le 0:6.1.0-1.fc45 fedora 1.4 MiB rpm-plugin-selinux ppc64le 0:6.1.0-1.fc45 fedora 67.8 KiB rpm-sequoia ppc64le 0:1.10.3-1.fc45 fedora 4.8 MiB rpm-sign-libs ppc64le 0:6.1.0-1.fc45 fedora 67.5 KiB rust-srpm-macros noarch 0:28.5-2.fc45 fedora 5.5 KiB selinux-policy noarch 0:45.19-1.fc45 fedora 32.1 KiB selinux-policy-targeted noarch 0:45.19-1.fc45 fedora 19.0 MiB setup noarch 0:2.15.1-2.fc45 fedora 725.6 KiB sqlite-libs ppc64le 0:3.53.4-1.fc45 fedora 2.0 MiB systemd-libs ppc64le 0:262-1.fc45 fedora 3.3 MiB systemd-standalone-sysusers ppc64le 0:262-1.fc45 fedora 1.1 MiB tpm2-tss ppc64le 0:4.2.0-1.fc45 fedora 2.5 MiB tree-sitter-srpm-macros noarch 0:0.4.6-2.fc45 fedora 8.6 KiB util-linux-core ppc64le 0:2.42.2-3.fc45 fedora 2.6 MiB xxhash-libs ppc64le 0:0.8.3-5.fc45 fedora 85.5 KiB xz-libs ppc64le 1:5.8.3-2.fc45 fedora 265.2 KiB zig-srpm-macros noarch 0:1-9.fc45 fedora 1.3 KiB zip ppc64le 0:3.0-46.fc45 fedora 889.2 KiB zlib-ng-compat ppc64le 0:2.3.3-6.fc45 fedora 197.3 KiB zstd ppc64le 0:1.5.7-6.fc45 fedora 562.0 KiB Installing groups: Buildsystem building group Transaction Summary: Installing: 189 packages Total size of inbound packages is 76 MiB. Need to download 76 MiB. After this operation, 287 MiB extra will be used (install 287 MiB, remove 0 B). [ 1/189] bzip2-0:1.0.8-24.fc45.ppc64le 100% | 17.3 MiB/s | 53.3 KiB | 00m00s [ 2/189] cpio-0:2.15-10.fc45.ppc64le 100% | 32.6 MiB/s | 300.7 KiB | 00m00s [ 3/189] coreutils-0:9.11-6.fc45.ppc64 100% | 60.1 MiB/s | 1.3 MiB | 00m00s [ 4/189] fedora-release-common-0:45-0. 100% | 17.5 MiB/s | 17.9 KiB | 00m00s [ 5/189] diffutils-0:3.12-6.fc45.ppc64 100% | 28.3 MiB/s | 406.0 KiB | 00m00s [ 6/189] bash-0:5.3.15-2.fc45.ppc64le 100% | 47.5 MiB/s | 1.9 MiB | 00m00s [ 7/189] findutils-1:4.11.0-2.fc45.ppc 100% | 34.7 MiB/s | 603.8 KiB | 00m00s [ 8/189] glibc-minimal-langpack-0:2.44 100% | 19.5 MiB/s | 120.0 KiB | 00m00s [ 9/189] gawk-0:5.4.1-1.fc45.ppc64le 100% | 50.2 MiB/s | 1.2 MiB | 00m00s [ 10/189] grep-0:3.12-4.fc45.ppc64le 100% | 27.4 MiB/s | 308.5 KiB | 00m00s [ 11/189] gzip-0:1.14-4.fc45.ppc64le 100% | 15.9 MiB/s | 179.5 KiB | 00m00s [ 12/189] info-0:7.3-3.fc45.ppc64le 100% | 40.5 MiB/s | 207.3 KiB | 00m00s [ 13/189] redhat-rpm-config-0:345-4.fc4 100% | 38.2 MiB/s | 78.2 KiB | 00m00s [ 14/189] patch-0:2.8-5.fc45.ppc64le 100% | 30.0 MiB/s | 123.0 KiB | 00m00s [ 15/189] rpm-build-0:6.1.0-1.fc45.ppc6 100% | 35.3 MiB/s | 180.9 KiB | 00m00s [ 16/189] sed-0:4.10-2.fc45.ppc64le 100% | 53.3 MiB/s | 327.3 KiB | 00m00s [ 17/189] unzip-0:6.0-71.fc45.ppc64le 100% | 33.0 MiB/s | 202.6 KiB | 00m00s [ 18/189] tar-2:1.35-10.fc45.ppc64le 100% | 57.9 MiB/s | 888.9 KiB | 00m00s [ 19/189] shadow-utils-2:4.20.0-1.fc45. 100% | 57.2 MiB/s | 1.4 MiB | 00m00s [ 20/189] which-0:2.25-2.fc45.ppc64le 100% | 6.0 MiB/s | 43.4 KiB | 00m00s [ 21/189] util-linux-0:2.42.2-3.fc45.pp 100% | 52.9 MiB/s | 1.3 MiB | 00m00s [ 22/189] xz-1:5.8.3-2.fc45.ppc64le 100% | 39.9 MiB/s | 654.1 KiB | 00m00s [ 23/189] ncurses-libs-0:6.6-3.fc45.ppc 100% | 53.3 MiB/s | 381.8 KiB | 00m00s [ 24/189] filesystem-0:3.18-59.fc45.ppc 100% | 55.0 MiB/s | 1.8 MiB | 00m00s [ 25/189] bzip2-libs-0:1.0.8-24.fc45.pp 100% | 4.8 MiB/s | 49.4 KiB | 00m00s [ 26/189] gmp-1:6.3.0-6.fc45.ppc64le 100% | 44.6 MiB/s | 319.9 KiB | 00m00s [ 27/189] glibc-0:2.44-1.fc45.ppc64le 100% | 69.2 MiB/s | 3.4 MiB | 00m00s [ 28/189] libacl-0:2.4.0-2.fc45.ppc64le 100% | 1.5 MiB/s | 29.2 KiB | 00m00s [ 29/189] libattr-0:2.6.0-2.fc45.ppc64l 100% | 9.3 MiB/s | 19.0 KiB | 00m00s [ 30/189] libcap-0:2.78-2.fc45.ppc64le 100% | 46.1 MiB/s | 94.4 KiB | 00m00s [ 31/189] coreutils-common-0:9.11-6.fc4 100% | 51.6 MiB/s | 2.2 MiB | 00m00s [ 32/189] libselinux-0:3.11-5.fc45.ppc6 100% | 8.6 MiB/s | 114.5 KiB | 00m00s [ 33/189] fedora-repos-0:45-0.6.noarch 100% | 4.6 MiB/s | 9.4 KiB | 00m00s [ 34/189] redhat-systemd-presets-0:102- 100% | 2.8 MiB/s | 8.5 KiB | 00m00s [ 35/189] systemd-libs-0:262-1.fc45.ppc 100% | 73.4 MiB/s | 976.8 KiB | 00m00s [ 36/189] openssl-libs-1:4.0.2-2.fc45.p 100% | 64.2 MiB/s | 2.4 MiB | 00m00s [ 37/189] mpfr-0:4.2.2-4.fc45.ppc64le 100% | 15.9 MiB/s | 357.4 KiB | 00m00s [ 38/189] glibc-common-0:2.44-1.fc45.pp 100% | 58.9 MiB/s | 421.8 KiB | 00m00s [ 39/189] pcre2-0:10.47-1.fc45.2.ppc64l 100% | 39.6 MiB/s | 283.5 KiB | 00m00s [ 40/189] ed-0:1.22.6-1.fc45.ppc64le 100% | 21.3 MiB/s | 87.4 KiB | 00m00s [ 41/189] R-srpm-macros-0:1.3.7-3.fc45. 100% | 2.7 MiB/s | 11.1 KiB | 00m00s [ 42/189] ansible-srpm-macros-0:1-22.fc 100% | 9.7 MiB/s | 19.8 KiB | 00m00s [ 43/189] readline-0:8.3-6.fc45.ppc64le 100% | 8.2 MiB/s | 243.0 KiB | 00m00s [ 44/189] build-reproducibility-srpm-ma 100% | 5.3 MiB/s | 10.8 KiB | 00m00s [ 45/189] cmake-srpm-macros-0:4.3.0-5.f 100% | 3.4 MiB/s | 10.3 KiB | 00m00s [ 46/189] dwz-0:0.17-3.fc45.ppc64le 100% | 47.7 MiB/s | 146.7 KiB | 00m00s [ 47/189] efi-srpm-macros-0:6-9.fc45.no 100% | 10.5 MiB/s | 21.4 KiB | 00m00s [ 48/189] erlang-srpm-macros-0:0.3.11-2 100% | 2.4 MiB/s | 10.0 KiB | 00m00s [ 49/189] file-0:5.48-3.fc45.ppc64le 100% | 7.1 MiB/s | 51.2 KiB | 00m00s [ 50/189] filesystem-srpm-macros-0:3.18 100% | 4.3 MiB/s | 26.4 KiB | 00m00s [ 51/189] fonts-srpm-macros-1:5.0.0-4.f 100% | 5.3 MiB/s | 27.2 KiB | 00m00s [ 52/189] forge-srpm-macros-0:0.4.0-5.f 100% | 4.8 MiB/s | 19.7 KiB | 00m00s [ 53/189] fpc-srpm-macros-0:1.3-17.fc45 100% | 1.9 MiB/s | 7.8 KiB | 00m00s [ 54/189] gap-srpm-macros-0:2-3.fc45.no 100% | 2.3 MiB/s | 9.3 KiB | 00m00s [ 55/189] gnome-srpm-macros-0:1.0-2.fc4 100% | 1.2 MiB/s | 8.8 KiB | 00m00s [ 56/189] ghc-srpm-macros-0:1.10-2.fc45 100% | 772.1 KiB/s | 8.5 KiB | 00m00s [ 57/189] gnat-srpm-macros-0:7-3.fc45.n 100% | 779.0 KiB/s | 8.6 KiB | 00m00s [ 58/189] go-srpm-macros-0:3.8.0-3.fc45 100% | 6.8 MiB/s | 27.8 KiB | 00m00s [ 59/189] java-srpm-macros-0:1-9.fc45.n 100% | 2.7 MiB/s | 8.3 KiB | 00m00s [ 60/189] kernel-srpm-macros-0:1.0-30.f 100% | 2.7 MiB/s | 8.3 KiB | 00m00s [ 61/189] lua-srpm-macros-0:1-18.fc45.n 100% | 2.8 MiB/s | 8.7 KiB | 00m00s [ 62/189] meson-srpm-macros-0:1.12.0-2. 100% | 3.7 MiB/s | 11.5 KiB | 00m00s [ 63/189] ocaml-srpm-macros-0:11-4.fc45 100% | 2.9 MiB/s | 9.0 KiB | 00m00s [ 64/189] openblas-srpm-macros-0:2-22.f 100% | 2.4 MiB/s | 7.5 KiB | 00m00s [ 65/189] package-notes-srpm-macros-0:0 100% | 3.4 MiB/s | 10.5 KiB | 00m00s [ 66/189] perl-srpm-macros-0:1-65.fc45. 100% | 2.7 MiB/s | 8.4 KiB | 00m00s [ 67/189] pyproject-srpm-macros-0:1.23. 100% | 5.1 MiB/s | 15.6 KiB | 00m00s [ 68/189] python-srpm-macros-0:3.15-2.f 100% | 7.8 MiB/s | 23.9 KiB | 00m00s [ 69/189] qt5-srpm-macros-0:5.15.18-3.f 100% | 2.6 MiB/s | 8.1 KiB | 00m00s [ 70/189] qt6-srpm-macros-0:6.11.2-1.fc 100% | 3.0 MiB/s | 9.1 KiB | 00m00s [ 71/189] rust-srpm-macros-0:28.5-2.fc4 100% | 5.6 MiB/s | 11.4 KiB | 00m00s [ 72/189] tree-sitter-srpm-macros-0:0.4 100% | 6.8 MiB/s | 14.0 KiB | 00m00s [ 73/189] rpm-0:6.1.0-1.fc45.ppc64le 100% | 79.7 MiB/s | 571.0 KiB | 00m00s [ 74/189] zig-srpm-macros-0:1-9.fc45.no 100% | 2.2 MiB/s | 8.8 KiB | 00m00s [ 75/189] zip-0:3.0-46.fc45.ppc64le 100% | 45.0 MiB/s | 276.7 KiB | 00m00s [ 76/189] debugedit-0:5.3-3.fc45.ppc64l 100% | 22.3 MiB/s | 91.3 KiB | 00m00s [ 77/189] elfutils-0:0.196-1.fc45.ppc64 100% | 62.3 MiB/s | 574.4 KiB | 00m00s [ 78/189] elfutils-libelf-0:0.196-1.fc4 100% | 30.0 MiB/s | 245.5 KiB | 00m00s [ 79/189] libarchive-0:3.8.8-3.fc45.ppc 100% | 81.3 MiB/s | 499.7 KiB | 00m00s [ 80/189] libgcc-0:16.2.1-2.fc45.ppc64l 100% | 22.7 MiB/s | 116.2 KiB | 00m00s [ 81/189] pkgconf-pkg-config-0:2.5.1-2. 100% | 4.6 MiB/s | 9.4 KiB | 00m00s [ 82/189] popt-0:1.19-11.fc45.ppc64le 100% | 34.0 MiB/s | 69.7 KiB | 00m00s [ 83/189] rpm-build-libs-0:6.1.0-1.fc45 100% | 45.1 MiB/s | 138.4 KiB | 00m00s [ 84/189] libstdc++-0:16.2.1-2.fc45.ppc 100% | 74.0 MiB/s | 1.1 MiB | 00m00s [ 85/189] rpm-libs-0:6.1.0-1.fc45.ppc64 100% | 46.7 MiB/s | 526.3 KiB | 00m00s [ 86/189] zstd-0:1.5.7-6.fc45.ppc64le 100% | 31.6 MiB/s | 194.2 KiB | 00m00s [ 87/189] libeconf-0:0.7.9-4.fc45.ppc64 100% | 38.9 MiB/s | 39.8 KiB | 00m00s [ 88/189] audit-libs-0:4.2.1-2.fc45.ppc 100% | 51.5 MiB/s | 158.3 KiB | 00m00s [ 89/189] libsemanage-0:3.11-4.fc45.ppc 100% | 45.1 MiB/s | 138.6 KiB | 00m00s [ 90/189] libxcrypt-0:4.5.2-4.fc45.ppc6 100% | 34.1 MiB/s | 139.6 KiB | 00m00s [ 91/189] pam-libs-0:1.7.2-4.fc45.ppc64 100% | 20.4 MiB/s | 62.8 KiB | 00m00s [ 92/189] setup-0:2.15.1-2.fc45.noarch 100% | 51.3 MiB/s | 157.6 KiB | 00m00s [ 93/189] libblkid-0:2.42.2-3.fc45.ppc6 100% | 36.0 MiB/s | 147.5 KiB | 00m00s [ 94/189] libcap-ng-0:0.9.6-1.fc45.ppc6 100% | 35.0 MiB/s | 35.8 KiB | 00m00s [ 95/189] binutils-0:2.47-1.fc45.ppc64l 100% | 76.6 MiB/s | 6.9 MiB | 00m00s [ 96/189] liblastlog2-0:2.42.2-3.fc45.p 100% | 773.7 KiB/s | 25.5 KiB | 00m00s [ 97/189] libfdisk-0:2.42.2-3.fc45.ppc6 100% | 5.0 MiB/s | 178.2 KiB | 00m00s [ 98/189] libmount-0:2.42.2-3.fc45.ppc6 100% | 62.6 MiB/s | 192.4 KiB | 00m00s [ 99/189] librtas-0:2.0.7-2.fc45.ppc64l 100% | 28.1 MiB/s | 86.3 KiB | 00m00s [100/189] libsmartcols-0:2.42.2-3.fc45. 100% | 27.6 MiB/s | 113.1 KiB | 00m00s [101/189] libuuid-0:2.42.2-3.fc45.ppc64 100% | 9.4 MiB/s | 28.8 KiB | 00m00s [102/189] util-linux-core-0:2.42.2-3.fc 100% | 85.8 MiB/s | 615.1 KiB | 00m00s [103/189] zlib-ng-compat-0:2.3.3-6.fc45 100% | 17.4 MiB/s | 89.3 KiB | 00m00s [104/189] xz-libs-1:5.8.3-2.fc45.ppc64l 100% | 20.6 MiB/s | 126.3 KiB | 00m00s [105/189] ncurses-base-0:6.6-3.fc45.noa 100% | 43.0 MiB/s | 88.1 KiB | 00m00s [106/189] gnulib-l10n-0:20241231-4.fc45 100% | 49.0 MiB/s | 150.4 KiB | 00m00s [107/189] libsepol-0:3.11-2.fc45.ppc64l 100% | 74.3 MiB/s | 380.4 KiB | 00m00s [108/189] crypto-policies-0:20260713-2. 100% | 31.7 MiB/s | 97.5 KiB | 00m00s [109/189] ca-certificates-0:2026.2.90_v 100% | 67.3 MiB/s | 964.7 KiB | 00m00s [110/189] glibc-gconv-extra-0:2.44-1.fc 100% | 62.7 MiB/s | 1.8 MiB | 00m00s [111/189] fedora-gpg-keys-0:45-0.6.noar 100% | 14.0 MiB/s | 143.8 KiB | 00m00s [112/189] redhat-systemd-presets-common 100% | 12.9 MiB/s | 13.2 KiB | 00m00s [113/189] pcre2-syntax-0:10.47-1.fc45.2 100% | 40.3 MiB/s | 165.1 KiB | 00m00s [114/189] fips-provider-0:1.5.2-3.fc45. 100% | 52.8 MiB/s | 1.7 MiB | 00m00s [115/189] add-determinism-0:0.7.3-3.fc4 100% | 42.7 MiB/s | 874.1 KiB | 00m00s [116/189] linkdupes-0:0.7.3-3.fc45.ppc6 100% | 21.0 MiB/s | 365.9 KiB | 00m00s [117/189] file-libs-0:5.48-3.fc45.ppc64 100% | 62.3 MiB/s | 893.8 KiB | 00m00s [118/189] alternatives-0:1.33-6.fc45.pp 100% | 5.8 MiB/s | 41.4 KiB | 00m00s [119/189] curl-0:8.21.0-5.fc45.ppc64le 100% | 27.3 MiB/s | 251.1 KiB | 00m00s [120/189] elfutils-debuginfod-client-0: 100% | 16.2 MiB/s | 49.7 KiB | 00m00s [121/189] jansson-0:2.14-5.fc45.ppc64le 100% | 24.7 MiB/s | 50.5 KiB | 00m00s [122/189] libzstd-0:1.5.7-6.fc45.ppc64l 100% | 78.1 MiB/s | 399.7 KiB | 00m00s [123/189] elfutils-libs-0:0.196-1.fc45. 100% | 43.5 MiB/s | 311.5 KiB | 00m00s [124/189] lz4-libs-0:1.10.0-5.fc45.ppc6 100% | 24.8 MiB/s | 101.6 KiB | 00m00s [125/189] libxml2-0:2.13.9-4.fc45.ppc64 100% | 57.7 MiB/s | 767.7 KiB | 00m00s [126/189] pkgconf-0:2.5.1-2.fc45.ppc64l 100% | 9.7 MiB/s | 49.4 KiB | 00m00s [127/189] pkgconf-m4-0:2.5.1-2.fc45.noa 100% | 2.7 MiB/s | 13.8 KiB | 00m00s [128/189] lua-libs-0:5.5.1-2.fc45.ppc64 100% | 38.6 MiB/s | 158.2 KiB | 00m00s [129/189] rpm-sign-libs-0:6.1.0-1.fc45. 100% | 6.7 MiB/s | 27.4 KiB | 00m00s [130/189] libgomp-0:16.2.1-2.fc45.ppc64 100% | 50.1 MiB/s | 410.1 KiB | 00m00s [131/189] libffi-0:3.5.2-3.fc45.ppc64le 100% | 20.3 MiB/s | 41.6 KiB | 00m00s [132/189] sqlite-libs-0:3.53.4-1.fc45.p 100% | 72.9 MiB/s | 895.2 KiB | 00m00s [133/189] p11-kit-0:0.26.5-1.fc45.ppc64 100% | 45.3 MiB/s | 556.7 KiB | 00m00s [134/189] p11-kit-trust-0:0.26.5-1.fc45 100% | 30.6 MiB/s | 156.9 KiB | 00m00s [135/189] rpm-sequoia-0:1.10.3-1.fc45.p 100% | 56.9 MiB/s | 1.5 MiB | 00m00s [136/189] json-c-0:0.18-9.fc45.ppc64le 100% | 6.1 MiB/s | 49.8 KiB | 00m00s [137/189] libpkgconf-0:2.5.1-2.fc45.ppc 100% | 5.7 MiB/s | 46.8 KiB | 00m00s [138/189] ima-evm-utils-libs-0:1.6.2-12 100% | 15.0 MiB/s | 30.7 KiB | 00m00s [139/189] libfsverity-0:1.7-4.fc45.ppc6 100% | 9.4 MiB/s | 19.3 KiB | 00m00s [140/189] libtasn1-0:4.21.0-2.fc45.ppc6 100% | 26.1 MiB/s | 80.3 KiB | 00m00s [141/189] gpgverify-0:2.2-5.fc45.noarch 100% | 5.5 MiB/s | 11.3 KiB | 00m00s [142/189] gnupg2-0:2.4.9-18.fc45.ppc64l 100% | 99.3 MiB/s | 1.7 MiB | 00m00s [143/189] gnupg2-gpg-agent-0:2.4.9-18.f 100% | 22.8 MiB/s | 304.1 KiB | 00m00s [144/189] gnupg2-dirmngr-0:2.4.9-18.fc4 100% | 20.4 MiB/s | 313.0 KiB | 00m00s [145/189] gnupg2-gpgconf-0:2.4.9-18.fc4 100% | 20.4 MiB/s | 125.3 KiB | 00m00s [146/189] gnupg2-keyboxd-0:2.4.9-18.fc4 100% | 33.4 MiB/s | 102.5 KiB | 00m00s [147/189] gnupg2-verify-0:2.4.9-18.fc45 100% | 59.9 MiB/s | 184.0 KiB | 00m00s [148/189] libassuan-0:2.5.7-6.fc45.ppc6 100% | 23.2 MiB/s | 71.3 KiB | 00m00s [149/189] libgpg-error-0:1.61-2.fc45.pp 100% | 63.4 MiB/s | 259.9 KiB | 00m00s [150/189] npth-0:1.8-5.fc45.ppc64le 100% | 8.1 MiB/s | 24.9 KiB | 00m00s [151/189] libgcrypt-0:1.12.2-2.fc45.ppc 100% | 61.0 MiB/s | 686.8 KiB | 00m00s [152/189] tpm2-tss-0:4.2.0-1.fc45.ppc64 100% | 49.7 MiB/s | 406.8 KiB | 00m00s [153/189] libksba-0:1.8.0-3.fc45.ppc64l 100% | 29.5 MiB/s | 181.1 KiB | 00m00s [154/189] openldap-0:2.6.14-1.fc45.ppc6 100% | 70.6 MiB/s | 289.3 KiB | 00m00s [155/189] libusb1-0:1.0.30-2.fc45.ppc64 100% | 21.2 MiB/s | 86.7 KiB | 00m00s [156/189] gnutls-0:3.8.13-3.fc45.ppc64l 100% | 62.5 MiB/s | 1.4 MiB | 00m00s [157/189] libidn2-0:2.3.8-4.fc45.ppc64l 100% | 19.2 MiB/s | 176.6 KiB | 00m00s [158/189] libunistring-0:1.1-12.fc45.pp 100% | 43.2 MiB/s | 574.7 KiB | 00m00s [159/189] nettle-0:4.0-5.fc45.ppc64le 100% | 45.2 MiB/s | 462.5 KiB | 00m00s [160/189] libevent-0:2.1.13-1.fc45.ppc6 100% | 41.2 MiB/s | 295.5 KiB | 00m00s [161/189] libtool-ltdl-0:2.5.4-11.fc45. 100% | 12.8 MiB/s | 39.4 KiB | 00m00s [162/189] cyrus-sasl-lib-0:2.1.28-37.fc 100% | 50.9 MiB/s | 886.5 KiB | 00m00s [163/189] fedora-release-0:45-0.10.noar 100% | 2.3 MiB/s | 12.0 KiB | 00m00s [164/189] gdbm-libs-1:1.23-12.fc45.ppc6 100% | 10.1 MiB/s | 61.9 KiB | 00m00s [165/189] xxhash-libs-0:0.8.3-5.fc45.pp 100% | 9.2 MiB/s | 37.8 KiB | 00m00s [166/189] systemd-standalone-sysusers-0 100% | 47.6 MiB/s | 438.2 KiB | 00m00s [167/189] fedora-release-identity-basic 100% | 3.1 MiB/s | 12.8 KiB | 00m00s [168/189] libcurl-0:8.21.0-5.fc45.ppc64 100% | 56.3 MiB/s | 518.7 KiB | 00m00s [169/189] krb5-libs-0:1.22.2-9.fc45.ppc 100% | 55.9 MiB/s | 859.2 KiB | 00m00s [170/189] libbrotli-0:1.2.0-6.fc45.ppc6 100% | 42.6 MiB/s | 392.9 KiB | 00m00s [171/189] libnghttp2-0:1.69.0-5.fc45.pp 100% | 20.3 MiB/s | 83.2 KiB | 00m00s [172/189] libnghttp3-0:1.18.0-1.fc45.pp 100% | 37.8 MiB/s | 77.4 KiB | 00m00s [173/189] libpsl-0:0.23.1-1.fc45.ppc64l 100% | 22.3 MiB/s | 68.5 KiB | 00m00s [174/189] libssh-0:0.12.2-1.fc45.ppc64l 100% | 62.2 MiB/s | 318.3 KiB | 00m00s [175/189] ngtcp2-0:1.22.1-3.fc45.ppc64l 100% | 32.9 MiB/s | 168.3 KiB | 00m00s [176/189] ngtcp2-crypto-ossl-0:1.22.1-3 100% | 26.6 MiB/s | 27.2 KiB | 00m00s [177/189] keyutils-libs-0:1.6.3-8.fc45. 100% | 31.7 MiB/s | 32.5 KiB | 00m00s [178/189] gdb-minimal-0:17.2-6.fc45.ppc 100% | 74.7 MiB/s | 4.9 MiB | 00m00s [179/189] libcom_err-0:1.47.4-2.fc45.pp 100% | 1.0 MiB/s | 26.8 KiB | 00m00s [180/189] libverto-0:0.3.2-13.fc45.ppc6 100% | 904.1 KiB/s | 21.7 KiB | 00m00s [181/189] publicsuffix-list-dafsa-0:202 100% | 29.8 MiB/s | 61.1 KiB | 00m00s [182/189] libssh-config-0:0.12.2-1.fc45 100% | 4.4 MiB/s | 8.9 KiB | 00m00s [183/189] libfido2-0:1.17.0-5.fc45.ppc6 100% | 36.6 MiB/s | 112.3 KiB | 00m00s [184/189] libcbor-0:0.14.0-3.fc45.ppc64 100% | 12.3 MiB/s | 37.9 KiB | 00m00s [185/189] selinux-policy-0:45.19-1.fc45 100% | 20.0 MiB/s | 41.0 KiB | 00m00s [186/189] policycoreutils-0:3.11-2.fc45 100% | 36.7 MiB/s | 263.0 KiB | 00m00s [187/189] libselinux-utils-0:3.11-5.fc4 100% | 31.2 MiB/s | 127.8 KiB | 00m00s [188/189] rpm-plugin-selinux-0:6.1.0-1. 100% | 17.4 MiB/s | 17.8 KiB | 00m00s [189/189] selinux-policy-targeted-0:45. 100% | 121.8 MiB/s | 6.8 MiB | 00m00s -------------------------------------------------------------------------------- [189/189] Total 100% | 106.0 MiB/s | 76.2 MiB | 00m01s Running transaction Importing OpenPGP key 0xF577861E: UserID : "Fedora (45) " Fingerprint: 4F50A6114CD5C6976A7F1179655A4B02F577861E From : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-45-primary The key was successfully imported. [ 1/191] Verify package files 100% | 156.0 B/s | 189.0 B | 00m01s >>> Running %pretrans scriptlet: filesystem-0:3.18-59.fc45.ppc64le >>> Finished %pretrans scriptlet: filesystem-0:3.18-59.fc45.ppc64le >>> [RPM] failed to open /var/lib/mock/fedora-45-ppc64le-1790417325.832578/root/etc/group for id/name lookup: No such file or directory [ 2/191] Prepare transaction 100% | 994.0 B/s | 189.0 B | 00m00s [ 3/191] Installing libgcc-0:16.2.1-2. 100% | 70.3 MiB/s | 288.1 KiB | 00m00s [ 4/191] Installing redhat-systemd-pre 100% | 1.4 MiB/s | 1.5 KiB | 00m00s [ 5/191] Installing redhat-systemd-pre 100% | 17.7 MiB/s | 18.1 KiB | 00m00s [ 6/191] Installing libssh-config-0:0. 100% | 796.9 KiB/s | 816.0 B | 00m00s [ 7/191] Installing publicsuffix-list- 100% | 70.3 MiB/s | 72.0 KiB | 00m00s [ 8/191] Installing fedora-release-ide 100% | 445.3 KiB/s | 912.0 B | 00m00s [ 9/191] Installing fedora-gpg-keys-0: 100% | 12.7 MiB/s | 181.7 KiB | 00m00s [ 10/191] Installing fedora-repos-0:45- 100% | 5.8 MiB/s | 5.9 KiB | 00m00s [ 11/191] Installing fedora-release-com 100% | 3.6 MiB/s | 7.4 KiB | 00m00s [ 12/191] Installing fedora-release-0:4 100% | 13.5 KiB/s | 124.0 B | 00m00s >>> Running sysusers scriptlet: setup-0:2.15.1-2.fc45.noarch >>> Finished sysusers scriptlet: setup-0:2.15.1-2.fc45.noarch >>> Scriptlet output: >>> Creating group 'adm' with GID 4. >>> Creating group 'audio' with GID 63. >>> Creating group 'cdrom' with GID 11. >>> Creating group 'clock' with GID 103. >>> Creating group 'dialout' with GID 18. >>> Creating group 'disk' with GID 6. >>> Creating group 'floppy' with GID 19. >>> Creating group 'ftp' with GID 50. >>> Creating group 'games' with GID 20. >>> Creating group 'input' with GID 104. >>> Creating group 'kmem' with GID 9. >>> Creating group 'kvm' with GID 36. >>> Creating group 'lock' with GID 54. >>> Creating group 'lp' with GID 7. >>> Creating group 'mail' with GID 12. >>> Creating group 'man' with GID 15. >>> Creating group 'mem' with GID 8. >>> Creating group 'nobody' with GID 65534. >>> Creating group 'render' with GID 105. >>> Creating group 'root' with GID 0. >>> Creating group 'sgx' with GID 106. >>> Creating group 'sys' with GID 3. >>> Creating group 'tape' with GID 33. >>> Creating group 'tty' with GID 5. >>> Creating group 'users' with GID 100. >>> Creating group 'utmp' with GID 22. >>> Creating group 'video' with GID 39. >>> Creating group 'wheel' with GID 10. >>> Creating user 'adm' (adm) with UID 3 and GID 4. >>> Creating group 'bin' with GID 1. >>> Creating user 'bin' (bin) with UID 1 and GID 1. >>> Creating group 'daemon' with GID 2. >>> Creating user 'daemon' (daemon) with UID 2 and GID 2. >>> Creating user 'ftp' (FTP User) with UID 14 and GID 50. >>> Creating user 'games' (games) with UID 12 and GID 100. >>> Creating user 'halt' (halt) with UID 7 and GID 0. >>> Creating user 'lp' (lp) with UID 4 and GID 7. >>> Creating user 'mail' (mail) with UID 8 and GID 12. >>> Creating user 'nobody' (Kernel Overflow User) with UID 65534 and GID 65534. >>> Creating user 'operator' (operator) with UID 11 and GID 0. >>> Creating user 'root' (Super User) with UID 0 and GID 0. >>> Creating user 'shutdown' (shutdown) with UID 6 and GID 0. >>> Creating user 'sync' (sync) with UID 5 and GID 0. >>> [ 13/191] Installing setup-0:2.15.1-2.f 100% | 12.3 MiB/s | 731.3 KiB | 00m00s >>> [RPM] /etc/hosts created as /etc/hosts.rpmnew [ 14/191] Installing filesystem-0:3.18- 100% | 828.7 KiB/s | 253.6 KiB | 00m00s [ 15/191] Installing pkgconf-m4-0:2.5.1 100% | 14.4 MiB/s | 14.7 KiB | 00m00s [ 16/191] Installing pcre2-syntax-0:10. 100% | 69.4 MiB/s | 284.3 KiB | 00m00s [ 17/191] Installing gnulib-l10n-0:2024 100% | 53.9 MiB/s | 661.9 KiB | 00m00s [ 18/191] Installing coreutils-common-0 100% | 115.3 MiB/s | 11.0 MiB | 00m00s [ 19/191] Installing ncurses-base-0:6.6 100% | 21.7 MiB/s | 355.3 KiB | 00m00s [ 20/191] Installing bash-0:5.3.15-2.fc 100% | 82.7 MiB/s | 8.9 MiB | 00m00s [ 21/191] Installing glibc-common-0:2.4 100% | 26.1 MiB/s | 1.5 MiB | 00m00s [ 22/191] Installing glibc-gconv-extra- 100% | 129.1 MiB/s | 18.6 MiB | 00m00s [ 23/191] Installing glibc-0:2.44-1.fc4 100% | 82.8 MiB/s | 12.0 MiB | 00m00s [ 24/191] Installing ncurses-libs-0:6.6 100% | 93.4 MiB/s | 1.5 MiB | 00m00s [ 25/191] Installing glibc-minimal-lang 100% | 121.1 KiB/s | 124.0 B | 00m00s [ 26/191] Installing zlib-ng-compat-0:2 100% | 64.5 MiB/s | 198.1 KiB | 00m00s [ 27/191] Installing bzip2-libs-0:1.0.8 100% | 67.2 MiB/s | 137.5 KiB | 00m00s [ 28/191] Installing libgpg-error-0:1.6 100% | 20.9 MiB/s | 1.0 MiB | 00m00s [ 29/191] Installing libstdc++-0:16.2.1 100% | 128.3 MiB/s | 4.1 MiB | 00m00s [ 30/191] Installing libzstd-0:1.5.7-6. 100% | 109.1 MiB/s | 1.1 MiB | 00m00s [ 31/191] Installing elfutils-libelf-0: 100% | 126.7 MiB/s | 1.5 MiB | 00m00s [ 32/191] Installing libassuan-0:2.5.7- 100% | 70.8 MiB/s | 217.6 KiB | 00m00s [ 33/191] Installing libgcrypt-0:1.12.2 100% | 105.0 MiB/s | 1.6 MiB | 00m00s [ 34/191] Installing readline-0:8.3-6.f 100% | 102.5 MiB/s | 629.5 KiB | 00m00s [ 35/191] Installing gmp-1:6.3.0-6.fc45 100% | 96.2 MiB/s | 788.3 KiB | 00m00s [ 36/191] Installing libacl-0:2.4.0-2.f 100% | 33.4 MiB/s | 68.4 KiB | 00m00s [ 37/191] Installing systemd-libs-0:262 100% | 123.8 MiB/s | 3.3 MiB | 00m00s [ 38/191] Installing libuuid-0:2.42.2-3 100% | 34.3 MiB/s | 70.3 KiB | 00m00s [ 39/191] Installing xz-libs-1:5.8.3-2. 100% | 86.7 MiB/s | 266.3 KiB | 00m00s [ 40/191] Installing popt-0:1.19-11.fc4 100% | 26.3 MiB/s | 215.2 KiB | 00m00s [ 41/191] Installing sqlite-libs-0:3.53 100% | 111.5 MiB/s | 2.0 MiB | 00m00s [ 42/191] Installing npth-0:1.8-5.fc45. 100% | 45.9 MiB/s | 94.1 KiB | 00m00s [ 43/191] Installing elfutils-libs-0:0. 100% | 95.1 MiB/s | 876.4 KiB | 00m00s [ 44/191] Installing libblkid-0:2.42.2- 100% | 86.8 MiB/s | 355.5 KiB | 00m00s [ 45/191] Installing libsepol-0:3.11-2. 100% | 115.8 MiB/s | 1.0 MiB | 00m00s [ 46/191] Installing gnupg2-gpgconf-0:2 100% | 7.5 MiB/s | 323.6 KiB | 00m00s [ 47/191] Installing pcre2-0:10.47-1.fc 100% | 102.9 MiB/s | 843.2 KiB | 00m00s [ 48/191] Installing libselinux-0:3.11- 100% | 64.5 MiB/s | 330.4 KiB | 00m00s [ 49/191] Installing grep-0:3.12-4.fc45 100% | 18.5 MiB/s | 1.0 MiB | 00m00s [ 50/191] Installing sed-0:4.10-2.fc45. 100% | 16.9 MiB/s | 950.8 KiB | 00m00s [ 51/191] Installing findutils-1:4.11.0 100% | 34.5 MiB/s | 2.1 MiB | 00m00s [ 52/191] Installing libxcrypt-0:4.5.2- 100% | 66.3 MiB/s | 339.6 KiB | 00m00s [ 53/191] Installing libtasn1-0:4.21.0- 100% | 72.3 MiB/s | 222.2 KiB | 00m00s [ 54/191] Installing libunistring-0:1.1 100% | 117.0 MiB/s | 1.9 MiB | 00m00s [ 55/191] Installing libidn2-0:2.3.8-4. 100% | 30.7 MiB/s | 566.3 KiB | 00m00s [ 56/191] Installing crypto-policies-0: 100% | 10.4 MiB/s | 159.5 KiB | 00m00s [ 57/191] Installing xz-1:5.8.3-2.fc45. 100% | 23.5 MiB/s | 1.5 MiB | 00m00s [ 58/191] Installing libmount-0:2.42.2- 100% | 89.4 MiB/s | 549.3 KiB | 00m00s [ 59/191] Installing gnupg2-verify-0:2. 100% | 9.3 MiB/s | 429.5 KiB | 00m00s [ 60/191] Installing mpfr-0:4.2.2-4.fc4 100% | 89.4 MiB/s | 915.1 KiB | 00m00s [ 61/191] Installing gawk-0:5.4.1-1.fc4 100% | 40.7 MiB/s | 3.2 MiB | 00m00s [ 62/191] Installing dwz-0:0.17-3.fc45. 100% | 7.6 MiB/s | 388.0 KiB | 00m00s [ 63/191] Installing libksba-0:1.8.0-3. 100% | 75.0 MiB/s | 537.6 KiB | 00m00s [ 64/191] Installing unzip-0:6.0-71.fc4 100% | 11.4 MiB/s | 536.9 KiB | 00m00s [ 65/191] Installing file-libs-0:5.48-3 100% | 177.5 MiB/s | 12.4 MiB | 00m00s [ 66/191] Installing file-0:5.48-3.fc45 100% | 3.4 MiB/s | 143.2 KiB | 00m00s [ 67/191] Installing diffutils-0:3.12-6 100% | 28.1 MiB/s | 1.7 MiB | 00m00s [ 68/191] Installing libattr-0:2.6.0-2. 100% | 33.7 MiB/s | 69.0 KiB | 00m00s [ 69/191] Installing libeconf-0:0.7.9-4 100% | 26.8 MiB/s | 82.4 KiB | 00m00s [ 70/191] Installing libcap-ng-0:0.9.6- 100% | 52.7 MiB/s | 162.0 KiB | 00m00s [ 71/191] Installing audit-libs-0:4.2.1 100% | 90.0 MiB/s | 552.8 KiB | 00m00s [ 72/191] Installing pam-libs-0:1.7.2-4 100% | 70.4 MiB/s | 288.4 KiB | 00m00s [ 73/191] Installing libcap-0:2.78-2.fc 100% | 10.6 MiB/s | 511.9 KiB | 00m00s [ 74/191] Installing libsemanage-0:3.11 100% | 83.2 MiB/s | 425.9 KiB | 00m00s [ 75/191] Installing libsmartcols-0:2.4 100% | 70.9 MiB/s | 290.5 KiB | 00m00s [ 76/191] Installing alternatives-0:1.3 100% | 1.5 MiB/s | 91.5 KiB | 00m00s [ 77/191] Installing lua-libs-0:5.5.1-2 100% | 48.3 MiB/s | 395.4 KiB | 00m00s [ 78/191] Installing libffi-0:3.5.2-3.f 100% | 56.8 MiB/s | 348.9 KiB | 00m00s [ 79/191] Installing p11-kit-0:0.26.5-1 100% | 37.5 MiB/s | 3.3 MiB | 00m00s [ 80/191] Installing p11-kit-trust-0:0. 100% | 8.3 MiB/s | 595.7 KiB | 00m00s [ 81/191] Installing json-c-0:0.18-9.fc 100% | 34.1 MiB/s | 139.7 KiB | 00m00s [ 82/191] Installing ngtcp2-0:1.22.1-3. 100% | 44.1 MiB/s | 406.6 KiB | 00m00s [ 83/191] Installing util-linux-core-0: 100% | 34.5 MiB/s | 2.7 MiB | 00m00s [ 84/191] Installing liblastlog2-0:2.42 100% | 17.0 MiB/s | 139.3 KiB | 00m00s [ 85/191] Installing zip-0:3.0-46.fc45. 100% | 18.6 MiB/s | 893.1 KiB | 00m00s [ 86/191] Installing gnupg2-keyboxd-0:2 100% | 25.4 MiB/s | 234.4 KiB | 00m00s [ 87/191] Installing libpsl-0:0.23.1-1. 100% | 43.4 MiB/s | 133.2 KiB | 00m00s [ 88/191] Installing tar-2:1.35-10.fc45 100% | 46.7 MiB/s | 3.1 MiB | 00m00s [ 89/191] Installing linkdupes-0:0.7.3- 100% | 17.4 MiB/s | 839.8 KiB | 00m00s [ 90/191] Installing libselinux-utils-0 100% | 25.5 MiB/s | 1.4 MiB | 00m00s [ 91/191] Installing libfdisk-0:2.42.2- 100% | 94.5 MiB/s | 483.9 KiB | 00m00s [ 92/191] Installing fips-provider-0:1. 100% | 126.8 MiB/s | 4.7 MiB | 00m00s [ 93/191] Installing openssl-libs-1:4.0 100% | 122.9 MiB/s | 7.1 MiB | 00m00s [ 94/191] Installing coreutils-0:9.11-6 100% | 80.4 MiB/s | 9.7 MiB | 00m00s [ 95/191] Installing ca-certificates-0: 100% | 736.9 KiB/s | 2.5 MiB | 00m03s [ 96/191] Installing gzip-0:1.14-4.fc45 100% | 8.3 MiB/s | 442.9 KiB | 00m00s [ 97/191] Installing rpm-sequoia-0:1.10 100% | 125.3 MiB/s | 4.8 MiB | 00m00s [ 98/191] Installing libfsverity-0:1.7- 100% | 33.7 MiB/s | 69.0 KiB | 00m00s [ 99/191] Installing libevent-0:2.1.13- 100% | 98.0 MiB/s | 1.3 MiB | 00m00s [100/191] Installing ngtcp2-crypto-ossl 100% | 33.2 MiB/s | 68.0 KiB | 00m00s [101/191] Installing libxml2-0:2.13.9-4 100% | 35.8 MiB/s | 2.2 MiB | 00m00s [102/191] Installing libusb1-0:1.0.30-2 100% | 20.0 MiB/s | 245.2 KiB | 00m00s >>> Running sysusers scriptlet: tpm2-tss-0:4.2.0-1.fc45.ppc64le >>> Finished sysusers scriptlet: tpm2-tss-0:4.2.0-1.fc45.ppc64le >>> Scriptlet output: >>> Creating group 'tss' with GID 59. >>> Creating user 'tss' (Account used for TPM access) with UID 59 and GID 59. >>> [103/191] Installing tpm2-tss-0:4.2.0-1 100% | 82.1 MiB/s | 2.5 MiB | 00m00s [104/191] Installing ima-evm-utils-libs 100% | 30.5 MiB/s | 93.8 KiB | 00m00s [105/191] Installing gnupg2-gpg-agent-0 100% | 17.4 MiB/s | 978.1 KiB | 00m00s [106/191] Installing nettle-0:4.0-5.fc4 100% | 86.0 MiB/s | 968.2 KiB | 00m00s [107/191] Installing gnutls-0:3.8.13-3. 100% | 109.1 MiB/s | 4.1 MiB | 00m00s [108/191] Installing zstd-0:1.5.7-6.fc4 100% | 12.0 MiB/s | 565.6 KiB | 00m00s [109/191] Installing bzip2-0:1.0.8-24.f 100% | 4.0 MiB/s | 175.4 KiB | 00m00s [110/191] Installing add-determinism-0: 100% | 39.3 MiB/s | 2.3 MiB | 00m00s [111/191] Installing cpio-0:2.15-10.fc4 100% | 21.8 MiB/s | 1.2 MiB | 00m00s [112/191] Installing ed-0:1.22.6-1.fc45 100% | 5.1 MiB/s | 225.1 KiB | 00m00s [113/191] Installing patch-0:2.8-5.fc45 100% | 6.0 MiB/s | 263.8 KiB | 00m00s [114/191] Installing librtas-0:2.0.7-2. 100% | 22.5 MiB/s | 322.5 KiB | 00m00s [115/191] Installing util-linux-0:2.42. 100% | 54.7 MiB/s | 7.1 MiB | 00m00s [116/191] Installing policycoreutils-0: 100% | 19.1 MiB/s | 1.5 MiB | 00m00s [117/191] Installing selinux-policy-0:4 100% | 1.1 MiB/s | 34.5 KiB | 00m00s [118/191] Installing selinux-policy-tar 100% | 54.1 MiB/s | 15.1 MiB | 00m00s [119/191] Installing build-reproducibil 100% | 1.5 MiB/s | 1.5 KiB | 00m00s [120/191] Installing jansson-0:2.14-5.f 100% | 51.5 MiB/s | 158.3 KiB | 00m00s [121/191] Installing lz4-libs-0:1.10.0- 100% | 64.0 MiB/s | 262.1 KiB | 00m00s [122/191] Installing libarchive-0:3.8.8 100% | 97.5 MiB/s | 1.3 MiB | 00m00s [123/191] Installing libgomp-0:16.2.1-2 100% | 107.2 MiB/s | 658.4 KiB | 00m00s [124/191] Installing libpkgconf-0:2.5.1 100% | 65.9 MiB/s | 135.0 KiB | 00m00s [125/191] Installing pkgconf-0:2.5.1-2. 100% | 2.8 MiB/s | 119.1 KiB | 00m00s [126/191] Installing pkgconf-pkg-config 100% | 45.5 KiB/s | 1.8 KiB | 00m00s [127/191] Installing libtool-ltdl-0:2.5 100% | 46.3 MiB/s | 94.9 KiB | 00m00s [128/191] Installing gdbm-libs-1:1.23-1 100% | 57.4 MiB/s | 235.0 KiB | 00m00s [129/191] Installing cyrus-sasl-lib-0:2 100% | 41.1 MiB/s | 2.9 MiB | 00m00s [130/191] Installing openldap-0:2.6.14- 100% | 73.0 MiB/s | 896.6 KiB | 00m00s [131/191] Installing gnupg2-dirmngr-0:2 100% | 13.9 MiB/s | 840.6 KiB | 00m00s [132/191] Installing gnupg2-0:2.4.9-18. 100% | 65.7 MiB/s | 6.8 MiB | 00m00s [133/191] Installing gpgverify-0:2.2-5. 100% | 4.6 MiB/s | 9.4 KiB | 00m00s [134/191] Installing systemd-standalone 100% | 23.4 MiB/s | 1.1 MiB | 00m00s [135/191] Installing rpm-libs-0:6.1.0-1 100% | 101.0 MiB/s | 1.4 MiB | 00m00s [136/191] Installing rpm-sign-libs-0:6. 100% | 33.4 MiB/s | 68.3 KiB | 00m00s [137/191] Installing rpm-build-libs-0:6 100% | 80.2 MiB/s | 328.7 KiB | 00m00s [138/191] Installing xxhash-libs-0:0.8. 100% | 42.4 MiB/s | 86.9 KiB | 00m00s [139/191] Installing libbrotli-0:1.2.0- 100% | 101.4 MiB/s | 1.0 MiB | 00m00s [140/191] Installing libnghttp2-0:1.69. 100% | 64.8 MiB/s | 198.9 KiB | 00m00s [141/191] Installing libnghttp3-0:1.18. 100% | 67.7 MiB/s | 208.1 KiB | 00m00s [142/191] Installing keyutils-libs-0:1. 100% | 48.5 MiB/s | 99.3 KiB | 00m00s [143/191] Installing libcom_err-0:1.47. 100% | 54.7 MiB/s | 112.0 KiB | 00m00s [144/191] Installing libverto-0:0.3.2-1 100% | 23.0 MiB/s | 70.8 KiB | 00m00s [145/191] Installing krb5-libs-0:1.22.2 100% | 102.4 MiB/s | 3.0 MiB | 00m00s [146/191] Installing libcbor-0:0.14.0-3 100% | 68.8 MiB/s | 140.9 KiB | 00m00s [147/191] Installing libfido2-0:1.17.0- 100% | 84.5 MiB/s | 346.1 KiB | 00m00s [148/191] Installing libssh-0:0.12.2-1. 100% | 99.3 MiB/s | 915.6 KiB | 00m00s [149/191] Installing libcurl-0:8.21.0-5 100% | 106.1 MiB/s | 1.3 MiB | 00m00s [150/191] Installing elfutils-debuginfo 100% | 3.2 MiB/s | 145.7 KiB | 00m00s [151/191] Installing binutils-0:2.47-1. 100% | 115.3 MiB/s | 33.8 MiB | 00m00s [152/191] Installing elfutils-0:0.196-1 100% | 52.3 MiB/s | 3.5 MiB | 00m00s [153/191] Installing gdb-minimal-0:17.2 100% | 101.8 MiB/s | 16.3 MiB | 00m00s [154/191] Installing debugedit-0:5.3-3. 100% | 8.6 MiB/s | 387.8 KiB | 00m00s [155/191] Installing curl-0:8.21.0-5.fc 100% | 9.3 MiB/s | 530.6 KiB | 00m00s [156/191] Installing rpm-0:6.1.0-1.fc45 100% | 29.0 MiB/s | 2.8 MiB | 00m00s [157/191] Installing cmake-srpm-macros- 100% | 785.2 KiB/s | 804.0 B | 00m00s [158/191] Installing efi-srpm-macros-0: 100% | 13.4 MiB/s | 41.3 KiB | 00m00s [159/191] Installing java-srpm-macros-0 100% | 1.1 MiB/s | 1.1 KiB | 00m00s [160/191] Installing lua-srpm-macros-0: 100% | 1.9 MiB/s | 1.9 KiB | 00m00s [161/191] Installing tree-sitter-srpm-m 100% | 9.4 MiB/s | 9.6 KiB | 00m00s [162/191] Installing zig-srpm-macros-0: 100% | 1.8 MiB/s | 1.9 KiB | 00m00s [163/191] Installing filesystem-srpm-ma 100% | 19.0 MiB/s | 38.9 KiB | 00m00s [164/191] Installing rust-srpm-macros-0 100% | 3.1 MiB/s | 6.4 KiB | 00m00s [165/191] Installing qt6-srpm-macros-0: 100% | 730.5 KiB/s | 748.0 B | 00m00s [166/191] Installing qt5-srpm-macros-0: 100% | 757.8 KiB/s | 776.0 B | 00m00s [167/191] Installing perl-srpm-macros-0 100% | 1.1 MiB/s | 1.1 KiB | 00m00s [168/191] Installing package-notes-srpm 100% | 2.0 MiB/s | 2.1 KiB | 00m00s [169/191] Installing openblas-srpm-macr 100% | 382.8 KiB/s | 392.0 B | 00m00s [170/191] Installing ocaml-srpm-macros- 100% | 2.1 MiB/s | 2.1 KiB | 00m00s [171/191] Installing meson-srpm-macros- 100% | 1.9 MiB/s | 1.9 KiB | 00m00s [172/191] Installing kernel-srpm-macros 100% | 211.6 KiB/s | 2.3 KiB | 00m00s [173/191] Installing gnome-srpm-macros- 100% | 4.0 MiB/s | 4.1 KiB | 00m00s [174/191] Installing gnat-srpm-macros-0 100% | 1.2 MiB/s | 1.3 KiB | 00m00s [175/191] Installing ghc-srpm-macros-0: 100% | 1.0 MiB/s | 1.0 KiB | 00m00s [176/191] Installing gap-srpm-macros-0: 100% | 2.6 MiB/s | 2.7 KiB | 00m00s [177/191] Installing fpc-srpm-macros-0: 100% | 410.2 KiB/s | 420.0 B | 00m00s [178/191] Installing ansible-srpm-macro 100% | 17.7 MiB/s | 36.2 KiB | 00m00s [179/191] Installing redhat-rpm-config- 100% | 31.0 MiB/s | 190.4 KiB | 00m00s [180/191] Installing forge-srpm-macros- 100% | 19.7 MiB/s | 40.3 KiB | 00m00s [181/191] Installing rpm-build-0:6.1.0- 100% | 13.2 MiB/s | 689.8 KiB | 00m00s [182/191] Installing erlang-srpm-macros 100% | 2.4 MiB/s | 2.5 KiB | 00m00s [183/191] Installing pyproject-srpm-mac 100% | 3.9 MiB/s | 4.0 KiB | 00m00s [184/191] Installing fonts-srpm-macros- 100% | 27.8 MiB/s | 57.0 KiB | 00m00s [185/191] Installing go-srpm-macros-0:3 100% | 30.8 MiB/s | 63.0 KiB | 00m00s [186/191] Installing R-srpm-macros-0:1. 100% | 4.3 MiB/s | 4.4 KiB | 00m00s [187/191] Installing python-srpm-macros 100% | 25.9 MiB/s | 52.9 KiB | 00m00s [188/191] Installing rpm-plugin-selinux 100% | 33.6 MiB/s | 68.8 KiB | 00m00s [189/191] Installing which-0:2.25-2.fc4 100% | 2.7 MiB/s | 125.6 KiB | 00m00s [190/191] Installing shadow-utils-2:4.2 100% | 46.0 MiB/s | 4.9 MiB | 00m00s [191/191] Installing info-0:7.3-3.fc45. 100% | 36.5 KiB/s | 488.5 KiB | 00m13s Complete! Finish: installing minimal buildroot with dnf5 Start: creating root cache Finish: creating root cache Finish: chroot init INFO: Installed packages: INFO: R-srpm-macros-1.3.7-3.fc45.noarch add-determinism-0.7.3-3.fc45.ppc64le alternatives-1.33-6.fc45.ppc64le ansible-srpm-macros-1-22.fc45.noarch audit-libs-4.2.1-2.fc45.ppc64le bash-5.3.15-2.fc45.ppc64le binutils-2.47-1.fc45.ppc64le build-reproducibility-srpm-macros-0.7.3-3.fc45.noarch bzip2-1.0.8-24.fc45.ppc64le bzip2-libs-1.0.8-24.fc45.ppc64le ca-certificates-2026.2.90_v9.0.317-1.fc45.noarch cmake-srpm-macros-4.3.0-5.fc45.noarch coreutils-9.11-6.fc45.ppc64le coreutils-common-9.11-6.fc45.ppc64le cpio-2.15-10.fc45.ppc64le crypto-policies-20260713-2.gitc42da77.fc45.noarch curl-8.21.0-5.fc45.ppc64le cyrus-sasl-lib-2.1.28-37.fc45.ppc64le debugedit-5.3-3.fc45.ppc64le diffutils-3.12-6.fc45.ppc64le dwz-0.17-3.fc45.ppc64le ed-1.22.6-1.fc45.ppc64le efi-srpm-macros-6-9.fc45.noarch elfutils-0.196-1.fc45.ppc64le elfutils-debuginfod-client-0.196-1.fc45.ppc64le elfutils-libelf-0.196-1.fc45.ppc64le elfutils-libs-0.196-1.fc45.ppc64le erlang-srpm-macros-0.3.11-2.fc45.noarch fedora-gpg-keys-45-0.6.noarch fedora-release-45-0.10.noarch fedora-release-common-45-0.10.noarch fedora-release-identity-basic-45-0.10.noarch fedora-repos-45-0.6.noarch file-5.48-3.fc45.ppc64le file-libs-5.48-3.fc45.ppc64le filesystem-3.18-59.fc45.ppc64le filesystem-srpm-macros-3.18-59.fc45.noarch findutils-4.11.0-2.fc45.ppc64le fips-provider-1.5.2-3.fc45.ppc64le fonts-srpm-macros-5.0.0-4.fc45.noarch forge-srpm-macros-0.4.0-5.fc45.noarch fpc-srpm-macros-1.3-17.fc45.noarch gap-srpm-macros-2-3.fc45.noarch gawk-5.4.1-1.fc45.ppc64le gdb-minimal-17.2-6.fc45.ppc64le gdbm-libs-1.23-12.fc45.ppc64le ghc-srpm-macros-1.10-2.fc45.noarch glibc-2.44-1.fc45.ppc64le glibc-common-2.44-1.fc45.ppc64le glibc-gconv-extra-2.44-1.fc45.ppc64le glibc-minimal-langpack-2.44-1.fc45.ppc64le gmp-6.3.0-6.fc45.ppc64le gnat-srpm-macros-7-3.fc45.noarch gnome-srpm-macros-1.0-2.fc45.noarch gnulib-l10n-20241231-4.fc45.noarch gnupg2-2.4.9-18.fc45.ppc64le gnupg2-dirmngr-2.4.9-18.fc45.ppc64le gnupg2-gpg-agent-2.4.9-18.fc45.ppc64le gnupg2-gpgconf-2.4.9-18.fc45.ppc64le gnupg2-keyboxd-2.4.9-18.fc45.ppc64le gnupg2-verify-2.4.9-18.fc45.ppc64le gnutls-3.8.13-3.fc45.ppc64le go-srpm-macros-3.8.0-3.fc45.noarch gpg-pubkey-4f50a6114cd5c6976a7f1179655a4b02f577861e-6888bc98 gpgverify-2.2-5.fc45.noarch grep-3.12-4.fc45.ppc64le gzip-1.14-4.fc45.ppc64le ima-evm-utils-libs-1.6.2-12.fc45.ppc64le info-7.3-3.fc45.ppc64le jansson-2.14-5.fc45.ppc64le java-srpm-macros-1-9.fc45.noarch json-c-0.18-9.fc45.ppc64le kernel-srpm-macros-1.0-30.fc45.noarch keyutils-libs-1.6.3-8.fc45.ppc64le krb5-libs-1.22.2-9.fc45.ppc64le libacl-2.4.0-2.fc45.ppc64le libarchive-3.8.8-3.fc45.ppc64le libassuan-2.5.7-6.fc45.ppc64le libattr-2.6.0-2.fc45.ppc64le libblkid-2.42.2-3.fc45.ppc64le libbrotli-1.2.0-6.fc45.ppc64le libcap-2.78-2.fc45.ppc64le libcap-ng-0.9.6-1.fc45.ppc64le libcbor-0.14.0-3.fc45.ppc64le libcom_err-1.47.4-2.fc45.ppc64le libcurl-8.21.0-5.fc45.ppc64le libeconf-0.7.9-4.fc45.ppc64le libevent-2.1.13-1.fc45.ppc64le libfdisk-2.42.2-3.fc45.ppc64le libffi-3.5.2-3.fc45.ppc64le libfido2-1.17.0-5.fc45.ppc64le libfsverity-1.7-4.fc45.ppc64le libgcc-16.2.1-2.fc45.ppc64le libgcrypt-1.12.2-2.fc45.ppc64le libgomp-16.2.1-2.fc45.ppc64le libgpg-error-1.61-2.fc45.ppc64le libidn2-2.3.8-4.fc45.ppc64le libksba-1.8.0-3.fc45.ppc64le liblastlog2-2.42.2-3.fc45.ppc64le libmount-2.42.2-3.fc45.ppc64le libnghttp2-1.69.0-5.fc45.ppc64le libnghttp3-1.18.0-1.fc45.ppc64le libpkgconf-2.5.1-2.fc45.ppc64le libpsl-0.23.1-1.fc45.ppc64le librtas-2.0.7-2.fc45.ppc64le libselinux-3.11-5.fc45.ppc64le libselinux-utils-3.11-5.fc45.ppc64le libsemanage-3.11-4.fc45.ppc64le libsepol-3.11-2.fc45.ppc64le libsmartcols-2.42.2-3.fc45.ppc64le libssh-0.12.2-1.fc45.ppc64le libssh-config-0.12.2-1.fc45.noarch libstdc++-16.2.1-2.fc45.ppc64le libtasn1-4.21.0-2.fc45.ppc64le libtool-ltdl-2.5.4-11.fc45.ppc64le libunistring-1.1-12.fc45.ppc64le libusb1-1.0.30-2.fc45.ppc64le libuuid-2.42.2-3.fc45.ppc64le libverto-0.3.2-13.fc45.ppc64le libxcrypt-4.5.2-4.fc45.ppc64le libxml2-2.13.9-4.fc45.ppc64le libzstd-1.5.7-6.fc45.ppc64le linkdupes-0.7.3-3.fc45.ppc64le lua-libs-5.5.1-2.fc45.ppc64le lua-srpm-macros-1-18.fc45.noarch lz4-libs-1.10.0-5.fc45.ppc64le meson-srpm-macros-1.12.0-2.fc45.noarch mpfr-4.2.2-4.fc45.ppc64le ncurses-base-6.6-3.fc45.noarch ncurses-libs-6.6-3.fc45.ppc64le nettle-4.0-5.fc45.ppc64le ngtcp2-1.22.1-3.fc45.ppc64le ngtcp2-crypto-ossl-1.22.1-3.fc45.ppc64le npth-1.8-5.fc45.ppc64le ocaml-srpm-macros-11-4.fc45.noarch openblas-srpm-macros-2-22.fc45.noarch openldap-2.6.14-1.fc45.ppc64le openssl-libs-4.0.2-2.fc45.ppc64le p11-kit-0.26.5-1.fc45.ppc64le p11-kit-trust-0.26.5-1.fc45.ppc64le package-notes-srpm-macros-0.20-2.fc45.noarch pam-libs-1.7.2-4.fc45.ppc64le patch-2.8-5.fc45.ppc64le pcre2-10.47-1.fc45.2.ppc64le pcre2-syntax-10.47-1.fc45.2.noarch perl-srpm-macros-1-65.fc45.noarch pkgconf-2.5.1-2.fc45.ppc64le pkgconf-m4-2.5.1-2.fc45.noarch pkgconf-pkg-config-2.5.1-2.fc45.ppc64le policycoreutils-3.11-2.fc45.ppc64le popt-1.19-11.fc45.ppc64le publicsuffix-list-dafsa-20260624-2.fc45.noarch pyproject-srpm-macros-1.23.2-1.fc45.noarch python-srpm-macros-3.15-2.fc45.noarch qt5-srpm-macros-5.15.18-3.fc45.noarch qt6-srpm-macros-6.11.2-1.fc45.noarch readline-8.3-6.fc45.ppc64le redhat-rpm-config-345-4.fc45.noarch redhat-systemd-presets-102-3.fc45.noarch redhat-systemd-presets-common-102-3.fc45.noarch rpm-6.1.0-1.fc45.ppc64le rpm-build-6.1.0-1.fc45.ppc64le rpm-build-libs-6.1.0-1.fc45.ppc64le rpm-libs-6.1.0-1.fc45.ppc64le rpm-plugin-selinux-6.1.0-1.fc45.ppc64le rpm-sequoia-1.10.3-1.fc45.ppc64le rpm-sign-libs-6.1.0-1.fc45.ppc64le rust-srpm-macros-28.5-2.fc45.noarch sed-4.10-2.fc45.ppc64le selinux-policy-45.19-1.fc45.noarch selinux-policy-targeted-45.19-1.fc45.noarch setup-2.15.1-2.fc45.noarch shadow-utils-4.20.0-1.fc45.ppc64le sqlite-libs-3.53.4-1.fc45.ppc64le systemd-libs-262-1.fc45.ppc64le systemd-standalone-sysusers-262-1.fc45.ppc64le tar-1.35-10.fc45.ppc64le tpm2-tss-4.2.0-1.fc45.ppc64le tree-sitter-srpm-macros-0.4.6-2.fc45.noarch unzip-6.0-71.fc45.ppc64le util-linux-2.42.2-3.fc45.ppc64le util-linux-core-2.42.2-3.fc45.ppc64le which-2.25-2.fc45.ppc64le xxhash-libs-0.8.3-5.fc45.ppc64le xz-5.8.3-2.fc45.ppc64le xz-libs-5.8.3-2.fc45.ppc64le zig-srpm-macros-1-9.fc45.noarch zip-3.0-46.fc45.ppc64le zlib-ng-compat-2.3.3-6.fc45.ppc64le zstd-1.5.7-6.fc45.ppc64le Start: buildsrpm Start: rpmbuild -bs Building target platforms: ppc64le Building for target ppc64le setting SOURCE_DATE_EPOCH=1785888000 Wrote: /builddir/build/SRPMS/python-scikit-learn-1.8.0-2.fc45.src.rpm Finish: rpmbuild -bs INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-45-ppc64le-1790417325.832578/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-toljjslv/python-scikit-learn/python-scikit-learn.spec) Config(child) 0 minutes 51 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-1.8.0-2.fc45.src.rpm) Config(fedora-45-ppc64le) Start(bootstrap): chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-45-ppc64le-bootstrap-1790417325.832578/root. INFO: reusing tmpfs at /var/lib/mock/fedora-45-ppc64le-bootstrap-1790417325.832578/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-45-ppc64le-1790417325.832578/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-6.1.0-1.fc45.ppc64le rpm-sequoia-1.10.3-1.fc45.ppc64le dnf5-5.4.5.0-1.fc45.ppc64le dnf5-plugins-5.4.5.0-1.fc45.ppc64le Finish: chroot init Start: build phase for python-scikit-learn-1.8.0-2.fc45.src.rpm Start: build setup for python-scikit-learn-1.8.0-2.fc45.src.rpm Building target platforms: ppc64le Building for target ppc64le setting SOURCE_DATE_EPOCH=1785888000 Wrote: /builddir/build/SRPMS/python-scikit-learn-1.8.0-2.fc45.src.rpm Updating and loading repositories: updates 100% | 17.2 KiB/s | 6.5 KiB | 00m00s fedora 100% | 14.7 KiB/s | 5.6 KiB | 00m00s Copr repository 100% | 5.8 KiB/s | 1.5 KiB | 00m00s Repositories loaded. Package Arch Version Repository Size Installing: gcc ppc64le 0:16.2.1-2.fc45 fedora 107.3 MiB gcc-c++ ppc64le 0:16.2.1-2.fc45 fedora 43.9 MiB python3-devel ppc64le 0:3.15.0~rc2-1.fc45 fedora 2.5 MiB python3-joblib noarch 0:1.6.0-1.fc45 fedora 2.4 MiB python3-psutil ppc64le 0:7.2.2-10.fc45 fedora 1.4 MiB python3-pytest noarch 0:9.1.1-1.fc45 fedora 24.3 MiB python3-setuptools noarch 0:83.0.0-2.fc45 fedora 7.3 MiB python3-threadpoolctl noarch 0:3.5.0-14.fc45 fedora 137.7 KiB Installing dependencies: annobin-docs noarch 0:13.28-1.fc45 fedora 99.7 KiB annobin-plugin-gcc ppc64le 0:13.28-1.fc45 fedora 785.3 KiB cpp ppc64le 0:16.2.1-2.fc45 fedora 39.2 MiB expat ppc64le 0:2.8.3-1.fc45 fedora 442.0 KiB gcc-plugin-annobin ppc64le 0:16.2.1-2.fc45 fedora 132.8 KiB glibc-devel ppc64le 0:2.44-1.fc45 fedora 3.7 MiB kernel-headers ppc64le 0:7.2.4-300.fc45 fedora 7.0 MiB libasan ppc64le 0:16.2.1-2.fc45 fedora 2.2 MiB libatomic ppc64le 0:16.2.1-2.fc45 fedora 77.0 KiB libmpc ppc64le 0:1.4.1-2.fc45 fedora 281.6 KiB libstdc++-devel ppc64le 0:16.2.1-2.fc45 fedora 41.1 MiB libubsan ppc64le 0:16.2.1-2.fc45 fedora 668.9 KiB libxcrypt-devel ppc64le 0:4.5.2-4.fc45 fedora 31.0 KiB make ppc64le 1:4.4.1-13.fc45 fedora 1.9 MiB mpdecimal ppc64le 0:4.0.1-4.fc45 fedora 281.1 KiB pyproject-rpm-macros noarch 0:1.23.2-1.fc45 fedora 156.3 KiB python-pip-wheel noarch 0:26.1.2-5.fc45 fedora 1.2 MiB python-rpm-macros noarch 0:3.15-2.fc45 fedora 28.0 KiB python3 ppc64le 0:3.15.0~rc2-1.fc45 fedora 84.6 KiB python3-cloudpickle noarch 0:3.1.2-4.fc45 fedora 130.0 KiB python3-iniconfig noarch 0:2.3.0-5.fc45 fedora 49.6 KiB python3-libs ppc64le 0:3.15.0~rc2-1.fc45 fedora 50.8 MiB python3-packaging noarch 0:26.2-4.fc45 fedora 1.0 MiB python3-pluggy noarch 0:1.6.0-8.fc45 fedora 216.0 KiB python3-pygments noarch 0:2.20.0-5.fc45 fedora 11.3 MiB python3-rpm-generators noarch 0:14-35.fc45 fedora 81.9 KiB python3-rpm-macros noarch 0:3.15-2.fc45 fedora 6.5 KiB tzdata noarch 0:2026c-2.fc45 fedora 1.2 MiB Transaction Summary: Installing: 36 packages Total size of inbound packages is 99 MiB. Need to download 99 MiB. After this operation, 353 MiB extra will be used (install 353 MiB, remove 0 B). [ 1/36] python3-devel-0:3.15.0~rc2-1.fc 100% | 52.4 MiB/s | 482.6 KiB | 00m00s [ 2/36] python3-joblib-0:1.6.0-1.fc45.n 100% | 40.1 MiB/s | 616.1 KiB | 00m00s [ 3/36] python3-psutil-0:7.2.2-10.fc45. 100% | 26.3 MiB/s | 268.8 KiB | 00m00s [ 4/36] python3-pytest-0:9.1.1-1.fc45.n 100% | 44.7 MiB/s | 2.5 MiB | 00m00s [ 5/36] python3-threadpoolctl-0:3.5.0-1 100% | 5.5 MiB/s | 44.7 KiB | 00m00s [ 6/36] gcc-c++-0:16.2.1-2.fc45.ppc64le 100% | 58.6 MiB/s | 15.5 MiB | 00m00s [ 7/36] glibc-devel-0:2.44-1.fc45.ppc64 100% | 68.3 MiB/s | 699.6 KiB | 00m00s [ 8/36] libasan-0:16.2.1-2.fc45.ppc64le 100% | 67.6 MiB/s | 553.4 KiB | 00m00s [ 9/36] libatomic-0:16.2.1-2.fc45.ppc64 100% | 26.8 MiB/s | 55.0 KiB | 00m00s [10/36] libmpc-0:1.4.1-2.fc45.ppc64le 100% | 32.0 MiB/s | 98.3 KiB | 00m00s [11/36] libubsan-0:16.2.1-2.fc45.ppc64l 100% | 54.5 MiB/s | 278.9 KiB | 00m00s [12/36] make-1:4.4.1-13.fc45.ppc64le 100% | 73.4 MiB/s | 601.6 KiB | 00m00s [13/36] cpp-0:16.2.1-2.fc45.ppc64le 100% | 48.7 MiB/s | 12.8 MiB | 00m00s [14/36] python3-0:3.15.0~rc2-1.fc45.ppc 100% | 9.0 MiB/s | 27.5 KiB | 00m00s [15/36] libstdc++-devel-0:16.2.1-2.fc45 100% | 44.2 MiB/s | 5.9 MiB | 00m00s [16/36] python3-cloudpickle-0:3.1.2-4.f 100% | 15.6 MiB/s | 48.0 KiB | 00m00s [17/36] python3-iniconfig-0:2.3.0-5.fc4 100% | 8.4 MiB/s | 25.8 KiB | 00m00s [18/36] python3-packaging-0:26.2-4.fc45 100% | 33.2 MiB/s | 238.0 KiB | 00m00s [19/36] python3-pluggy-0:1.6.0-8.fc45.n 100% | 15.0 MiB/s | 61.3 KiB | 00m00s [20/36] python3-libs-0:3.15.0~rc2-1.fc4 100% | 68.8 MiB/s | 11.1 MiB | 00m00s [21/36] python3-pygments-0:2.20.0-5.fc4 100% | 30.6 MiB/s | 2.7 MiB | 00m00s [22/36] libxcrypt-devel-0:4.5.2-4.fc45. 100% | 14.8 MiB/s | 30.3 KiB | 00m00s [23/36] expat-0:2.8.3-1.fc45.ppc64le 100% | 44.9 MiB/s | 138.0 KiB | 00m00s [24/36] mpdecimal-0:4.0.1-4.fc45.ppc64l 100% | 36.1 MiB/s | 110.9 KiB | 00m00s [25/36] kernel-headers-0:7.2.4-300.fc45 100% | 51.0 MiB/s | 1.7 MiB | 00m00s [26/36] tzdata-0:2026c-2.fc45.noarch 100% | 69.5 MiB/s | 712.2 KiB | 00m00s [27/36] python-pip-wheel-0:26.1.2-5.fc4 100% | 45.2 MiB/s | 1.2 MiB | 00m00s [28/36] gcc-0:16.2.1-2.fc45.ppc64le 100% | 49.0 MiB/s | 37.9 MiB | 00m01s [29/36] annobin-plugin-gcc-0:13.28-1.fc 100% | 3.6 MiB/s | 697.4 KiB | 00m00s [30/36] gcc-plugin-annobin-0:16.2.1-2.f 100% | 8.5 MiB/s | 61.2 KiB | 00m00s [31/36] python3-setuptools-0:83.0.0-2.f 100% | 8.2 MiB/s | 1.7 MiB | 00m00s [32/36] pyproject-rpm-macros-0:1.23.2-1 100% | 5.4 MiB/s | 54.8 KiB | 00m00s [33/36] annobin-docs-0:13.28-1.fc45.noa 100% | 7.8 MiB/s | 87.3 KiB | 00m00s [34/36] python-rpm-macros-0:3.15-2.fc45 100% | 6.4 MiB/s | 19.8 KiB | 00m00s [35/36] python3-rpm-generators-0:14-35. 100% | 5.6 MiB/s | 28.7 KiB | 00m00s [36/36] python3-rpm-macros-0:3.15-2.fc4 100% | 3.0 MiB/s | 12.2 KiB | 00m00s -------------------------------------------------------------------------------- [36/36] Total 100% | 119.9 MiB/s | 98.8 MiB | 00m01s Running transaction [ 1/38] Verify package files 100% | 24.0 B/s | 36.0 B | 00m01s [ 2/38] Prepare transaction 100% | 197.0 B/s | 36.0 B | 00m00s [ 3/38] Installing python-rpm-macros-0: 100% | 14.1 MiB/s | 28.9 KiB | 00m00s [ 4/38] Installing libmpc-0:1.4.1-2.fc4 100% | 69.2 MiB/s | 283.3 KiB | 00m00s [ 5/38] Installing python3-rpm-macros-0 100% | 6.6 MiB/s | 6.8 KiB | 00m00s [ 6/38] Installing pyproject-rpm-macros 100% | 38.7 MiB/s | 158.6 KiB | 00m00s [ 7/38] Installing cpp-0:16.2.1-2.fc45. 100% | 111.2 MiB/s | 39.2 MiB | 00m00s [ 8/38] Installing annobin-docs-0:13.28 100% | 9.0 MiB/s | 100.8 KiB | 00m00s [ 9/38] Installing tzdata-0:2026c-2.fc4 100% | 13.0 MiB/s | 1.5 MiB | 00m00s [10/38] Installing python-pip-wheel-0:2 100% | 178.1 MiB/s | 1.2 MiB | 00m00s [11/38] Installing mpdecimal-0:4.0.1-4. 100% | 69.0 MiB/s | 282.7 KiB | 00m00s [12/38] Installing expat-0:2.8.3-1.fc45 100% | 7.1 MiB/s | 444.1 KiB | 00m00s [13/38] Installing python3-libs-0:3.15. 100% | 106.1 MiB/s | 51.3 MiB | 00m00s [14/38] Installing python3-0:3.15.0~rc2 100% | 1.9 MiB/s | 86.4 KiB | 00m00s [15/38] Installing python3-packaging-0: 100% | 72.3 MiB/s | 1.0 MiB | 00m00s [16/38] Installing python3-rpm-generato 100% | 40.6 MiB/s | 83.1 KiB | 00m00s [17/38] Installing python3-cloudpickle- 100% | 32.7 MiB/s | 133.8 KiB | 00m00s [18/38] Installing python3-iniconfig-0: 100% | 17.6 MiB/s | 54.0 KiB | 00m00s [19/38] Installing python3-pluggy-0:1.6 100% | 19.7 MiB/s | 222.4 KiB | 00m00s [20/38] Installing python3-pygments-0:2 100% | 59.2 MiB/s | 11.5 MiB | 00m00s [21/38] Installing kernel-headers-0:7.2 100% | 52.6 MiB/s | 7.1 MiB | 00m00s [22/38] Installing glibc-devel-0:2.44-1 100% | 62.6 MiB/s | 3.8 MiB | 00m00s [23/38] Installing libxcrypt-devel-0:4. 100% | 4.6 MiB/s | 33.3 KiB | 00m00s [24/38] Installing libstdc++-devel-0:16 100% | 131.1 MiB/s | 41.3 MiB | 00m00s [25/38] Installing make-1:4.4.1-13.fc45 100% | 30.9 MiB/s | 1.9 MiB | 00m00s [26/38] Installing libubsan-0:16.2.1-2. 100% | 93.4 MiB/s | 669.7 KiB | 00m00s [27/38] Installing libatomic-0:16.2.1-2 100% | 38.2 MiB/s | 78.2 KiB | 00m00s [28/38] Installing libasan-0:16.2.1-2.f 100% | 114.1 MiB/s | 2.2 MiB | 00m00s [29/38] Installing gcc-0:16.2.1-2.fc45. 100% | 122.4 MiB/s | 107.3 MiB | 00m01s [30/38] Installing gcc-c++-0:16.2.1-2.f 100% | 113.3 MiB/s | 44.0 MiB | 00m00s [31/38] Installing annobin-plugin-gcc-0 100% | 38.4 MiB/s | 787.0 KiB | 00m00s [32/38] Installing gcc-plugin-annobin-0 100% | 5.7 MiB/s | 134.3 KiB | 00m00s [33/38] Installing python3-pytest-0:9.1 100% | 98.9 MiB/s | 24.4 MiB | 00m00s [34/38] Installing python3-joblib-0:1.6 100% | 51.1 MiB/s | 2.5 MiB | 00m00s [35/38] Installing python3-devel-0:3.15 100% | 31.3 MiB/s | 2.5 MiB | 00m00s [36/38] Installing python3-psutil-0:7.2 100% | 104.1 MiB/s | 1.5 MiB | 00m00s [37/38] Installing python3-threadpoolct 100% | 17.1 MiB/s | 140.0 KiB | 00m00s [38/38] Installing python3-setuptools-0 100% | 21.2 MiB/s | 7.5 MiB | 00m00s Complete! Building target platforms: ppc64le Building for target ppc64le setting SOURCE_DATE_EPOCH=1785888000 Wrote: /builddir/build/SRPMS/python-scikit-learn-1.8.0-2.fc45.src.rpm Updating and loading repositories: updates 100% | 18.3 KiB/s | 6.5 KiB | 00m00s fedora 100% | 15.4 KiB/s | 5.6 KiB | 00m00s Copr repository 100% | 6.2 KiB/s | 1.5 KiB | 00m00s Repositories loaded. Nothing to do. Package "gcc-16.2.1-2.fc45.ppc64le" is already installed. Package "gcc-c++-16.2.1-2.fc45.ppc64le" is already installed. Package "python3-devel-3.15.0~rc2-1.fc45.ppc64le" is already installed. Package "python3-joblib-1.6.0-1.fc45.noarch" is already installed. Package "python3-psutil-7.2.2-10.fc45.ppc64le" is already installed. Package "python3-pytest-9.1.1-1.fc45.noarch" is already installed. Package "python3-setuptools-83.0.0-2.fc45.noarch" is already installed. Package "python3-threadpoolctl-3.5.0-14.fc45.noarch" is already installed. Finish: build setup for python-scikit-learn-1.8.0-2.fc45.src.rpm Start: rpmbuild python-scikit-learn-1.8.0-2.fc45.src.rpm Building target platforms: ppc64le Building for target ppc64le setting SOURCE_DATE_EPOCH=1785888000 Executing(mkbuilddir): /bin/sh -e /var/tmp/rpm-tmp.sv9s6K Creating(rpmbuild.env): /builddir/build/BUILD/python-scikit-learn-1.8.0-build/rpmbuild.env RPM_SOURCE_DIR="/builddir/build/SOURCES" RPM_BUILD_DIR="/builddir/build/BUILD/python-scikit-learn-1.8.0-build" RPM_OPT_FLAGS="-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wno-complain-wrong-lang -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" RPM_LD_FLAGS="-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-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes " RPM_ARCH="ppc64le" RPM_OS="linux" RPM_BUILD_NCPUS="5" RPM_SPECPARTS_DIR="/builddir/build/BUILD/python-scikit-learn-1.8.0-build/SPECPARTS" export RPM_SOURCE_DIR RPM_BUILD_DIR RPM_OPT_FLAGS RPM_ARCH RPM_OS RPM_BUILD_NCPUS RPM_SPECPARTS_DIR RPM_LD_FLAGS RPM_DOC_DIR="/usr/share/doc" export RPM_DOC_DIR RPM_PACKAGE_NAME="python-scikit-learn" RPM_PACKAGE_VERSION="1.8.0" RPM_PACKAGE_RELEASE="2.fc45" export RPM_PACKAGE_NAME RPM_PACKAGE_VERSION RPM_PACKAGE_RELEASE LANG=C.UTF-8 export LANG unset CDPATH DISPLAY ||: unset DEBUGINFOD_URLS ||: unset RPM_CONFIG_DIR ||: RPM_BUILD_ROOT="/builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT" export RPM_BUILD_ROOT PKG_CONFIG_PATH="${PKG_CONFIG_PATH}:/usr/lib64/pkgconfig:/usr/share/pkgconfig" export PKG_CONFIG_PATH CONFIG_SITE=${CONFIG_SITE:-NONE} export CONFIG_SITE Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.MoqFjC + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.8.0-build + cd /builddir/build/BUILD/python-scikit-learn-1.8.0-build + rm -rf scikit_learn-1.8.0 + /usr/bin/rpmuncompress -x /builddir/build/SOURCES/scikit_learn-1.8.0.tar.gz + STATUS=0 + '[' 0 -ne 0 ']' + cd scikit_learn-1.8.0 + /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w . + sed -i -e 's|numpy>=2,<2.4.0|numpy|' pyproject.toml + sed -i -e 's|scipy>=1.10.0,<1.17.0|scipy|' pyproject.toml + sed -i -e 's|cython>=3.1.2|cython>=3.0.9|' pyproject.toml + sed -i -e 's|CYTHON_MIN_VERSION = "3.1.2"|CYTHON_MIN_VERSION = "3.0.9"|' sklearn/_min_dependencies.py + find sklearn/metrics/_dist_metrics.pyx.tp -type f + xargs sed -i 's/cdef inline {{INPUT_DTYPE_t}} rdist/cdef {{INPUT_DTYPE_t}} rdist/g' Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.BwjnvC + sed -r -i 's/"(meson-python[^"]+.*),<[^"]+"/"\1"/' pyproject.toml + RPM_EC=0 ++ jobs -p + exit 0 + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.8.0-build + cd scikit_learn-1.8.0 + 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-1.8.0-build/.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-hardened-ld-errors -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-1.8.0-build/.pyproject-builddir + RPM_TOXENV=py315 + FEDORA=45 + 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-1.8.0-build/pyproject-wheeldir --output /builddir/build/BUILD/python-scikit-learn-1.8.0-build/python-scikit-learn-1.8.0-2.fc45.ppc64le-pyproject-buildrequires --dep-overrides-file /builddir/build/BUILD/python-scikit-learn-1.8.0-build/python-scikit-learn-1.8.0-2.fc45.ppc64le-pyproject-dep-overrides -p Handling meson-python>=0.17.1 from build-system.requires Requirement not satisfied: meson-python>=0.17.1 Handling cython>=3.0.9,<3.3.0 from build-system.requires Requirement not satisfied: cython<3.3.0,>=3.0.9 Handling numpy from build-system.requires Requirement not satisfied: numpy Handling scipy from build-system.requires Requirement not satisfied: scipy Exiting dependency generation pass: build backend + cat /builddir/build/BUILD/python-scikit-learn-1.8.0-build/python-scikit-learn-1.8.0-2.fc45.ppc64le-pyproject-buildrequires + rm -rfv '*.dist-info/' + RPM_EC=0 ++ jobs -p + exit 0 Wrote: /builddir/build/SRPMS/python-scikit-learn-1.8.0-2.fc45.buildreqs.nosrc.rpm INFO: Going to install missing dynamic buildrequires Updating and loading repositories: updates 100% | 16.5 KiB/s | 6.5 KiB | 00m00s fedora 100% | 14.1 KiB/s | 5.6 KiB | 00m00s Copr repository 100% | 5.3 KiB/s | 1.5 KiB | 00m00s Repositories loaded. Package "gcc-16.2.1-2.fc45.ppc64le" is already installed. Package "gcc-c++-16.2.1-2.fc45.ppc64le" is already installed. Package "pyproject-rpm-macros-1.23.2-1.fc45.noarch" is already installed. Package "python3-devel-3.15.0~rc2-1.fc45.ppc64le" is already installed. Package "python3-joblib-1.6.0-1.fc45.noarch" is already installed. Package "python3-packaging-26.2-4.fc45.noarch" is already installed. Package "python3-psutil-7.2.2-10.fc45.ppc64le" is already installed. Package "python3-pytest-9.1.1-1.fc45.noarch" is already installed. Package "python3-setuptools-83.0.0-2.fc45.noarch" is already installed. Package "python3-threadpoolctl-3.5.0-14.fc45.noarch" is already installed. Package Arch Version Repository Size Installing: python3-cython ppc64le 0:3.2.8-4.fc45 fedora 20.7 MiB python3-meson-python noarch 0:0.22.0-1.fc45 copr_base 377.2 KiB python3-numpy ppc64le 1:2.5.3-1.fc45 fedora 41.0 MiB python3-pip noarch 0:26.1.2-5.fc45 fedora 12.1 MiB python3-scipy ppc64le 0:1.18.0-1.fc45 fedora 72.8 MiB Installing dependencies: flexiblas ppc64le 0:3.5.0-3.fc45 fedora 38.0 KiB flexiblas-netlib ppc64le 0:3.5.0-3.fc45 fedora 18.9 MiB flexiblas-openblas-openmp ppc64le 0:3.5.0-3.fc45 fedora 66.7 KiB libgfortran ppc64le 0:16.2.1-2.fc45 fedora 2.8 MiB libquadmath ppc64le 0:16.2.1-2.fc45 fedora 426.5 KiB meson noarch 0:1.12.0-2.fc45 fedora 14.9 MiB ninja-build ppc64le 0:1.13.2-6.fc45 fedora 532.7 KiB openblas ppc64le 0:0.3.34-1.fc45 fedora 138.1 KiB openblas-openmp ppc64le 0:0.3.34-1.fc45 fedora 23.4 MiB patchelf ppc64le 0:0.19.1-2.fc45 fedora 373.7 KiB python3-charset-normalizer noarch 0:3.4.9-2.fc45 fedora 421.1 KiB python3-idna noarch 0:3.18-2.fc45 fedora 523.7 KiB python3-numpy-f2py ppc64le 1:2.5.3-1.fc45 fedora 2.1 MiB python3-platformdirs noarch 0:4.9.1-4.fc45 fedora 244.3 KiB python3-pooch noarch 0:1.9.0-3.fc45 fedora 659.5 KiB python3-pyproject-metadata noarch 0:0.12.1-2.fc45 fedora 242.1 KiB python3-requests noarch 0:2.34.2-2.fc45 fedora 679.2 KiB python3-urllib3 noarch 0:2.7.0-7.fc45 fedora 1.1 MiB vim-filesystem noarch 2:9.2.1119-1.fc45 fedora 40.0 B Transaction Summary: Installing: 24 packages Total size of inbound packages is 47 MiB. Need to download 47 MiB. After this operation, 214 MiB extra will be used (install 214 MiB, remove 0 B). [ 1/24] python3-pip-0:26.1.2-5.fc45.noa 100% | 54.8 MiB/s | 2.7 MiB | 00m00s [ 2/24] python3-cython-0:3.2.8-4.fc45.p 100% | 53.1 MiB/s | 4.2 MiB | 00m00s [ 3/24] python3-numpy-1:2.5.3-1.fc45.pp 100% | 47.9 MiB/s | 7.8 MiB | 00m00s [ 4/24] flexiblas-netlib-0:3.5.0-3.fc45 100% | 72.6 MiB/s | 4.4 MiB | 00m00s [ 5/24] python3-numpy-f2py-1:2.5.3-1.fc 100% | 55.9 MiB/s | 515.4 KiB | 00m00s [ 6/24] libgfortran-0:16.2.1-2.fc45.ppc 100% | 60.5 MiB/s | 682.0 KiB | 00m00s [ 7/24] python3-pooch-0:1.9.0-3.fc45.no 100% | 23.9 MiB/s | 146.7 KiB | 00m00s [ 8/24] python3-scipy-0:1.18.0-1.fc45.p 100% | 58.6 MiB/s | 17.1 MiB | 00m00s [ 9/24] patchelf-0:0.19.1-2.fc45.ppc64l 100% | 48.4 MiB/s | 148.8 KiB | 00m00s [10/24] python3-pyproject-metadata-0:0. 100% | 34.3 MiB/s | 70.2 KiB | 00m00s [11/24] meson-0:1.12.0-2.fc45.noarch 100% | 24.0 MiB/s | 2.7 MiB | 00m00s [12/24] flexiblas-0:3.5.0-3.fc45.ppc64l 100% | 1.4 MiB/s | 22.6 KiB | 00m00s [13/24] flexiblas-openblas-openmp-0:3.5 100% | 3.9 MiB/s | 16.2 KiB | 00m00s [14/24] libquadmath-0:16.2.1-2.fc45.ppc 100% | 31.4 MiB/s | 225.0 KiB | 00m00s [15/24] python3-platformdirs-0:4.9.1-4. 100% | 14.6 MiB/s | 59.9 KiB | 00m00s [16/24] ninja-build-0:1.13.2-6.fc45.ppc 100% | 66.1 MiB/s | 203.2 KiB | 00m00s [17/24] python3-requests-0:2.34.2-2.fc4 100% | 30.6 MiB/s | 188.0 KiB | 00m00s [18/24] python3-charset-normalizer-0:3. 100% | 18.6 MiB/s | 133.0 KiB | 00m00s [19/24] python3-idna-0:3.18-2.fc45.noar 100% | 17.0 MiB/s | 104.5 KiB | 00m00s [20/24] python3-urllib3-0:2.7.0-7.fc45. 100% | 32.9 MiB/s | 303.6 KiB | 00m00s [21/24] vim-filesystem-2:9.2.1119-1.fc4 100% | 7.6 MiB/s | 15.6 KiB | 00m00s [22/24] openblas-0:0.3.34-1.fc45.ppc64l 100% | 2.9 MiB/s | 48.1 KiB | 00m00s [23/24] openblas-openmp-0:0.3.34-1.fc45 100% | 67.1 MiB/s | 5.0 MiB | 00m00s [24/24] python3-meson-python-0:0.22.0-1 100% | 289.6 KiB/s | 96.1 KiB | 00m00s -------------------------------------------------------------------------------- [24/24] Total 100% | 80.0 MiB/s | 46.8 MiB | 00m01s Running transaction [ 1/26] Verify package files 100% | 33.0 B/s | 24.0 B | 00m01s [ 2/26] Prepare transaction 100% | 129.0 B/s | 24.0 B | 00m00s [ 3/26] Installing libgfortran-0:16.2.1 100% | 132.3 MiB/s | 2.8 MiB | 00m00s [ 4/26] Installing python3-idna-0:3.18- 100% | 10.2 MiB/s | 531.6 KiB | 00m00s [ 5/26] Installing python3-urllib3-0:2. 100% | 61.2 MiB/s | 1.2 MiB | 00m00s [ 6/26] Installing openblas-0:0.3.34-1. 100% | 45.5 MiB/s | 139.9 KiB | 00m00s [ 7/26] Installing openblas-openmp-0:0. 100% | 141.0 MiB/s | 23.4 MiB | 00m00s [ 8/26] Installing vim-filesystem-2:9.2 100% | 1.6 MiB/s | 4.8 KiB | 00m00s [ 9/26] Installing ninja-build-0:1.13.2 100% | 9.9 MiB/s | 535.8 KiB | 00m00s [10/26] Installing meson-0:1.12.0-2.fc4 100% | 77.3 MiB/s | 15.1 MiB | 00m00s [11/26] Installing python3-charset-norm 100% | 8.6 MiB/s | 431.2 KiB | 00m00s [12/26] Installing python3-requests-0:2 100% | 61.4 MiB/s | 692.0 KiB | 00m00s [13/26] Installing python3-platformdirs 100% | 49.1 MiB/s | 251.3 KiB | 00m00s [14/26] Installing python3-pooch-0:1.9. 100% | 55.0 MiB/s | 675.5 KiB | 00m00s [15/26] Installing libquadmath-0:16.2.1 100% | 83.6 MiB/s | 427.8 KiB | 00m00s [16/26] Installing flexiblas-netlib-0:3 100% | 107.9 MiB/s | 18.9 MiB | 00m00s [17/26] Installing flexiblas-0:3.5.0-3. 100% | 19.1 MiB/s | 39.2 KiB | 00m00s [18/26] Installing flexiblas-openblas-o 100% | 6.6 MiB/s | 67.6 KiB | 00m00s [19/26] Installing python3-numpy-1:2.5. 100% | 99.7 MiB/s | 41.3 MiB | 00m00s [20/26] Installing python3-numpy-f2py-1 100% | 24.4 MiB/s | 2.2 MiB | 00m00s [21/26] Installing python3-pyproject-me 100% | 40.3 MiB/s | 247.8 KiB | 00m00s [22/26] Installing patchelf-0:0.19.1-2. 100% | 8.1 MiB/s | 375.5 KiB | 00m00s [23/26] Installing python3-meson-python 100% | 20.8 MiB/s | 382.7 KiB | 00m00s [24/26] Installing python3-scipy-0:1.18 100% | 108.8 MiB/s | 73.2 MiB | 00m01s [25/26] Installing python3-pip-0:26.1.2 100% | 51.6 MiB/s | 12.3 MiB | 00m00s [26/26] Installing python3-cython-0:3.2 100% | 61.2 MiB/s | 20.8 MiB | 00m00s Warning: skipped OpenPGP checks for 1 package from repository: copr_base Complete! Building target platforms: ppc64le Building for target ppc64le setting SOURCE_DATE_EPOCH=1785888000 Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.0wkqSe + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.8.0-build + cd scikit_learn-1.8.0 + 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-1.8.0-build/.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-hardened-ld-errors -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-1.8.0-build/.pyproject-builddir + RPM_TOXENV=py315 + FEDORA=45 + 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-1.8.0-build/pyproject-wheeldir --output /builddir/build/BUILD/python-scikit-learn-1.8.0-build/python-scikit-learn-1.8.0-2.fc45.ppc64le-pyproject-buildrequires --dep-overrides-file /builddir/build/BUILD/python-scikit-learn-1.8.0-build/python-scikit-learn-1.8.0-2.fc45.ppc64le-pyproject-dep-overrides -p Handling meson-python>=0.17.1 from build-system.requires Requirement satisfied: meson-python>=0.17.1 (installed: meson-python 0.22.0) Handling cython>=3.0.9,<3.3.0 from build-system.requires Requirement satisfied: cython<3.3.0,>=3.0.9 (installed: cython 3.2.8) Handling numpy from build-system.requires Requirement satisfied: numpy (installed: numpy 2.5.3) Handling scipy from build-system.requires Requirement satisfied: scipy (installed: scipy 1.18.0) Handling numpy>=1.24.1 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: numpy>=1.24.1 (installed: numpy 2.5.3) Handling scipy>=1.10.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: scipy>=1.10.0 (installed: scipy 1.18.0) Handling joblib>=1.3.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: joblib>=1.3.0 (installed: joblib 1.6.0) Handling threadpoolctl>=3.2.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: threadpoolctl>=3.2.0 (installed: threadpoolctl 3.5.0) Handling numpy>=1.24.1 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn) Ignoring alien requirement: numpy>=1.24.1 Handling scipy>=1.10.0 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn) Ignoring alien requirement: scipy>=1.10.0 Handling cython>=3.0.9 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn) Ignoring alien requirement: cython>=3.0.9 Handling meson-python>=0.17.1 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn) Ignoring alien requirement: meson-python>=0.17.1 Handling numpy>=1.24.1 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn) Ignoring alien requirement: numpy>=1.24.1 Handling scipy>=1.10.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn) Ignoring alien requirement: scipy>=1.10.0 Handling joblib>=1.3.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn) Ignoring alien requirement: joblib>=1.3.0 Handling threadpoolctl>=3.2.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn) Ignoring alien requirement: threadpoolctl>=3.2.0 Handling matplotlib>=3.6.1 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn) Ignoring alien requirement: matplotlib>=3.6.1 Handling pandas>=1.5.0 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn) Ignoring alien requirement: pandas>=1.5.0 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>=3.6.1 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: matplotlib>=3.6.1 Handling scikit-image>=0.22.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: scikit-image>=0.22.0 Handling pandas>=1.5.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: pandas>=1.5.0 Handling seaborn>=0.13.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: seaborn>=0.13.0 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>=10.1.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: Pillow>=10.1.0 Handling pooch>=1.8.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: pooch>=1.8.0 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>=5.18.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: plotly>=5.18.0 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>=0.6.0 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>=3.6.1 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: matplotlib>=3.6.1 Handling scikit-image>=0.22.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: scikit-image>=0.22.0 Handling pandas>=1.5.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: pandas>=1.5.0 Handling seaborn>=0.13.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: seaborn>=0.13.0 Handling pooch>=1.8.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: pooch>=1.8.0 Handling plotly>=5.18.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: plotly>=5.18.0 Handling matplotlib>=3.6.1 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: matplotlib>=3.6.1 Handling pandas>=1.5.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: pandas>=1.5.0 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>=0.11.7 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: ruff>=0.11.7 Handling mypy>=1.15 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: mypy>=1.15 Handling pyamg>=5.0.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: pyamg>=5.0.0 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>=1.8.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: pooch>=1.8.0 Handling conda-lock==3.0.1 from pyproject.toml generated metadata: [optional-dependencies] maintenance (scikit-learn) Ignoring alien requirement: conda-lock==3.0.1 + cat /builddir/build/BUILD/python-scikit-learn-1.8.0-build/python-scikit-learn-1.8.0-2.fc45.ppc64le-pyproject-buildrequires + rm -rfv '*.dist-info/' + RPM_EC=0 ++ jobs -p + exit 0 Wrote: /builddir/build/SRPMS/python-scikit-learn-1.8.0-2.fc45.buildreqs.nosrc.rpm INFO: Going to install missing dynamic buildrequires Updating and loading repositories: updates 100% | 17.4 KiB/s | 6.5 KiB | 00m00s fedora 100% | 14.9 KiB/s | 5.6 KiB | 00m00s Copr repository 100% | 6.0 KiB/s | 1.5 KiB | 00m00s Repositories loaded. Package "gcc-16.2.1-2.fc45.ppc64le" is already installed. Package "gcc-c++-16.2.1-2.fc45.ppc64le" is already installed. Package "pyproject-rpm-macros-1.23.2-1.fc45.noarch" is already installed. Package "python3-devel-3.15.0~rc2-1.fc45.ppc64le" is already installed. Package "python3-joblib-1.6.0-1.fc45.noarch" is already installed. Package "python3-joblib-1.6.0-1.fc45.noarch" is already installed. Package "python3-meson-python-0.22.0-1.fc45.noarch" is already installed. Package "python3-numpy-1:2.5.3-1.fc45.ppc64le" is already installed. Package "python3-numpy-1:2.5.3-1.fc45.ppc64le" is already installed. Package "python3-packaging-26.2-4.fc45.noarch" is already installed. Package "python3-pip-26.1.2-5.fc45.noarch" is already installed. Package "python3-psutil-7.2.2-10.fc45.ppc64le" is already installed. Package "python3-pytest-9.1.1-1.fc45.noarch" is already installed. Package "python3-scipy-1.18.0-1.fc45.ppc64le" is already installed. Package "python3-scipy-1.18.0-1.fc45.ppc64le" is already installed. Package "python3-setuptools-83.0.0-2.fc45.noarch" is already installed. Package "python3-threadpoolctl-3.5.0-14.fc45.noarch" is already installed. Package "python3-threadpoolctl-3.5.0-14.fc45.noarch" is already installed. Nothing to do. Building target platforms: ppc64le Building for target ppc64le setting SOURCE_DATE_EPOCH=1785888000 Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.CrpC1t + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.8.0-build + cd scikit_learn-1.8.0 + 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-1.8.0-build/.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-hardened-ld-errors -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-1.8.0-build/.pyproject-builddir + RPM_TOXENV=py315 + FEDORA=45 + 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-1.8.0-build/pyproject-wheeldir --output /builddir/build/BUILD/python-scikit-learn-1.8.0-build/python-scikit-learn-1.8.0-2.fc45.ppc64le-pyproject-buildrequires --dep-overrides-file /builddir/build/BUILD/python-scikit-learn-1.8.0-build/python-scikit-learn-1.8.0-2.fc45.ppc64le-pyproject-dep-overrides -p Handling meson-python>=0.17.1 from build-system.requires Requirement satisfied: meson-python>=0.17.1 (installed: meson-python 0.22.0) Handling cython>=3.0.9,<3.3.0 from build-system.requires Requirement satisfied: cython<3.3.0,>=3.0.9 (installed: cython 3.2.8) Handling numpy from build-system.requires Requirement satisfied: numpy (installed: numpy 2.5.3) Handling scipy from build-system.requires Requirement satisfied: scipy (installed: scipy 1.18.0) Handling numpy>=1.24.1 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: numpy>=1.24.1 (installed: numpy 2.5.3) Handling scipy>=1.10.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: scipy>=1.10.0 (installed: scipy 1.18.0) Handling joblib>=1.3.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: joblib>=1.3.0 (installed: joblib 1.6.0) Handling threadpoolctl>=3.2.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: threadpoolctl>=3.2.0 (installed: threadpoolctl 3.5.0) Handling numpy>=1.24.1 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn) Ignoring alien requirement: numpy>=1.24.1 Handling scipy>=1.10.0 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn) Ignoring alien requirement: scipy>=1.10.0 Handling cython>=3.0.9 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn) Ignoring alien requirement: cython>=3.0.9 Handling meson-python>=0.17.1 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn) Ignoring alien requirement: meson-python>=0.17.1 Handling numpy>=1.24.1 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn) Ignoring alien requirement: numpy>=1.24.1 Handling scipy>=1.10.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn) Ignoring alien requirement: scipy>=1.10.0 Handling joblib>=1.3.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn) Ignoring alien requirement: joblib>=1.3.0 Handling threadpoolctl>=3.2.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn) Ignoring alien requirement: threadpoolctl>=3.2.0 Handling matplotlib>=3.6.1 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn) Ignoring alien requirement: matplotlib>=3.6.1 Handling pandas>=1.5.0 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn) Ignoring alien requirement: pandas>=1.5.0 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>=3.6.1 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: matplotlib>=3.6.1 Handling scikit-image>=0.22.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: scikit-image>=0.22.0 Handling pandas>=1.5.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: pandas>=1.5.0 Handling seaborn>=0.13.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: seaborn>=0.13.0 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>=10.1.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: Pillow>=10.1.0 Handling pooch>=1.8.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: pooch>=1.8.0 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>=5.18.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: plotly>=5.18.0 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>=0.6.0 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>=3.6.1 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: matplotlib>=3.6.1 Handling scikit-image>=0.22.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: scikit-image>=0.22.0 Handling pandas>=1.5.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: pandas>=1.5.0 Handling seaborn>=0.13.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: seaborn>=0.13.0 Handling pooch>=1.8.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: pooch>=1.8.0 Handling plotly>=5.18.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: plotly>=5.18.0 Handling matplotlib>=3.6.1 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: matplotlib>=3.6.1 Handling pandas>=1.5.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: pandas>=1.5.0 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>=0.11.7 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: ruff>=0.11.7 Handling mypy>=1.15 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: mypy>=1.15 Handling pyamg>=5.0.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: pyamg>=5.0.0 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>=1.8.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: pooch>=1.8.0 Handling conda-lock==3.0.1 from pyproject.toml generated metadata: [optional-dependencies] maintenance (scikit-learn) Ignoring alien requirement: conda-lock==3.0.1 + cat /builddir/build/BUILD/python-scikit-learn-1.8.0-build/python-scikit-learn-1.8.0-2.fc45.ppc64le-pyproject-buildrequires + rm -rfv '*.dist-info/' + RPM_EC=0 ++ jobs -p + exit 0 Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.RLtDMn + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.8.0-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-hardened-ld-errors -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-1.8.0 + mkdir -p /builddir/build/BUILD/python-scikit-learn-1.8.0-build/.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-hardened-ld-errors -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-1.8.0-build/.pyproject-builddir + /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_wheel.py /builddir/build/BUILD/python-scikit-learn-1.8.0-build/pyproject-wheeldir Processing ./. Preparing metadata (pyproject.toml): started Running command Preparing metadata (pyproject.toml) + meson setup /builddir/build/BUILD/python-scikit-learn-1.8.0-build/scikit_learn-1.8.0 /builddir/build/BUILD/python-scikit-learn-1.8.0-build/scikit_learn-1.8.0/.mesonpy-_faiibhh -Dbuildtype=release -Db_ndebug=if-release -Db_vscrt=md --native-file=/builddir/build/BUILD/python-scikit-learn-1.8.0-build/scikit_learn-1.8.0/.mesonpy-_faiibhh/meson-python-native-file.ini The Meson build system Version: 1.12.0 Source dir: /builddir/build/BUILD/python-scikit-learn-1.8.0-build/scikit_learn-1.8.0 Build dir: /builddir/build/BUILD/python-scikit-learn-1.8.0-build/scikit_learn-1.8.0/.mesonpy-_faiibhh Build type: native build Project name: scikit-learn Project version: 1.8.0 C compiler for the host machine: gcc (gcc 16.2.1 "gcc (GCC) 16.2.1 20260819 (Red Hat 16.2.1-2)") C linker for the host machine: gcc ld.bfd 2.47.20260726 C++ compiler for the host machine: g++ (gcc 16.2.1 "g++ (GCC) 16.2.1 20260819 (Red Hat 16.2.1-2)") C++ linker for the host machine: g++ ld.bfd 2.47.20260726 Cython compiler for the host machine: cython (cython 3.2.8) 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 sklearn/_build_utils/tempita.py found: YES (/usr/bin/python3 /builddir/build/BUILD/python-scikit-learn-1.8.0-build/scikit_learn-1.8.0/sklearn/_build_utils/tempita.py) Program python found: YES (/usr/bin/python3) Run-time dependency OpenMP for c found: YES 5.2 Program cython found: YES (/usr/bin/cython) Found pkg-config: YES (/usr/bin/pkg-config) 2.5.1 Run-time dependency python found: YES 3.15 Build targets in project: 112 scikit-learn 1.8.0 User defined options Native files: /builddir/build/BUILD/python-scikit-learn-1.8.0-build/scikit_learn-1.8.0/.mesonpy-_faiibhh/meson-python-native-file.ini b_ndebug : if-release b_vscrt : md buildtype : release Found ninja-1.13.2 at /usr/bin/ninja + /usr/bin/ninja [1/253] Copying file sklearn/_loss/_loss.pxd [2/253] Copying file sklearn/utils/_cython_blas.pxd [3/253] Copying file sklearn/utils/__init__.py [4/253] Copying file sklearn/utils/_openmp_helpers.pxd [5/253] Copying file sklearn/utils/_sorting.pxd [6/253] Copying file sklearn/utils/_typedefs.pxd [7/253] Copying file sklearn/utils/_heap.pxd [8/253] Copying file sklearn/utils/_vector_sentinel.pxd [9/253] Copying file sklearn/__init__.py [10/253] Copying file sklearn/utils/_random.pxd [11/253] Generating sklearn/utils/_seq_dataset_pxd with a custom command [12/253] Generating sklearn/utils/_weight_vector_pxd with a custom command [13/253] Generating sklearn/metrics/_pairwise_distances_reduction/_base_pxd with a custom command [14/253] Copying file sklearn/metrics/__init__.py [15/253] Generating sklearn/metrics/_dist_metrics_pxd with a custom command [16/253] Generating sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer_pxd with a custom command [17/253] Copying file sklearn/metrics/_pairwise_distances_reduction/_classmode.pxd [18/253] Generating sklearn/metrics/_pairwise_distances_reduction/_datasets_pair_pxd with a custom command [19/253] Copying file sklearn/metrics/_pairwise_distances_reduction/__init__.py [20/253] Generating sklearn/metrics/_pairwise_distances_reduction/_argkmin_pxd with a custom command [21/253] Generating sklearn/neighbors/_binary_tree_pxi with a custom command [22/253] Generating sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_pxd with a custom command [23/253] Copying file sklearn/linear_model/__init__.py [24/253] Generating sklearn/_loss/_loss_pyx with a custom command [25/253] Generating sklearn/metrics/_pairwise_distances_reduction/_datasets_pair_pyx with a custom command [26/253] Generating sklearn/utils/_seq_dataset_pyx with a custom command [27/253] Copying file sklearn/neighbors/__init__.py [28/253] Generating sklearn/utils/_weight_vector_pyx with a custom command [29/253] Generating sklearn/metrics/_dist_metrics_pyx with a custom command [30/253] Generating sklearn/metrics/_pairwise_distances_reduction/_base_pyx with a custom command [31/253] Copying file sklearn/neighbors/_partition_nodes.pxd [32/253] Generating sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer_pyx with a custom command [33/253] Generating sklearn/linear_model/_sgd_fast_pyx with a custom command [34/253] Generating sklearn/linear_model/_sag_fast_pyx with a custom command [35/253] Generating sklearn/metrics/_pairwise_distances_reduction/_argkmin_pyx with a custom command [36/253] Generating sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_pyx with a custom command [37/253] Generating sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode_pyx with a custom command [38/253] Generating sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_classmode_pyx with a custom command [39/253] Generating sklearn/neighbors/_ball_tree_pyx with a custom command [40/253] Generating sklearn/neighbors/_kd_tree_pyx with a custom command [41/253] Generating 'sklearn/__check_build/_check_build.cpython-315-powerpc64le-linux-gnu.so.p/_check_build.c' [42/253] Generating sklearn/_cyutility.c with a custom command [43/253] Generating 'sklearn/utils/arrayfuncs.cpython-315-powerpc64le-linux-gnu.so.p/arrayfuncs.c' [44/253] Generating 'sklearn/_isotonic.cpython-315-powerpc64le-linux-gnu.so.p/_isotonic.c' [45/253] Generating 'sklearn/utils/murmurhash.cpython-315-powerpc64le-linux-gnu.so.p/murmurhash.c' [46/253] Generating 'sklearn/utils/_cython_blas.cpython-315-powerpc64le-linux-gnu.so.p/_cython_blas.c' [47/253] Generating 'sklearn/utils/sparsefuncs_fast.cpython-315-powerpc64le-linux-gnu.so.p/sparsefuncs_fast.c' [48/253] Generating 'sklearn/utils/_fast_dict.cpython-315-powerpc64le-linux-gnu.so.p/_fast_dict.cpp' [49/253] Generating 'sklearn/utils/_heap.cpython-315-powerpc64le-linux-gnu.so.p/_heap.c' [50/253] Generating 'sklearn/utils/_openmp_helpers.cpython-315-powerpc64le-linux-gnu.so.p/_openmp_helpers.c' [51/253] Generating 'sklearn/utils/_typedefs.cpython-315-powerpc64le-linux-gnu.so.p/_typedefs.c' [52/253] Generating 'sklearn/utils/_sorting.cpython-315-powerpc64le-linux-gnu.so.p/_sorting.c' [53/253] Generating 'sklearn/utils/_random.cpython-315-powerpc64le-linux-gnu.so.p/_random.c' [54/253] Generating 'sklearn/utils/_weight_vector.cpython-315-powerpc64le-linux-gnu.so.p/_weight_vector.c' [55/253] Generating 'sklearn/utils/_vector_sentinel.cpython-315-powerpc64le-linux-gnu.so.p/_vector_sentinel.cpp' [56/253] Generating 'sklearn/utils/_isfinite.cpython-315-powerpc64le-linux-gnu.so.p/_isfinite.c' [57/253] Generating 'sklearn/utils/_seq_dataset.cpython-315-powerpc64le-linux-gnu.so.p/_seq_dataset.c' [58/253] Generating 'sklearn/metrics/_pairwise_fast.cpython-315-powerpc64le-linux-gnu.so.p/_pairwise_fast.c' [59/253] Generating 'sklearn/metrics/_pairwise_distances_reduction/_datasets_pair.cpython-315-powerpc64le-linux-gnu.so.p/_datasets_pair.cpp' [60/253] Generating 'sklearn/metrics/_pairwise_distances_reduction/_base.cpython-315-powerpc64le-linux-gnu.so.p/_base.cpp' [61/253] Generating 'sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-315-powerpc64le-linux-gnu.so.p/_argkmin.cpp' [62/253] Generating 'sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer.cpython-315-powerpc64le-linux-gnu.so.p/_middle_term_computer.cpp' [63/253] Generating 'sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c' [64/253] Generating 'sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-315-powerpc64le-linux-gnu.so.p/_radius_neighbors.cpp' [65/253] Generating 'sklearn/metrics/cluster/_expected_mutual_info_fast.cpython-315-powerpc64le-linux-gnu.so.p/_expected_mutual_info_fast.c' [66/253] Generating 'sklearn/cluster/_dbscan_inner.cpython-315-powerpc64le-linux-gnu.so.p/_dbscan_inner.cpp' [67/253] Generating 'sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_classmode.cpython-315-powerpc64le-linux-gnu.so.p/_radius_neighbors_classmode.cpp' [68/253] Generating 'sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode.cpython-315-powerpc64le-linux-gnu.so.p/_argkmin_classmode.cpp' [69/253] Generating 'sklearn/metrics/_dist_metrics.cpython-315-powerpc64le-linux-gnu.so.p/_dist_metrics.c' [70/253] Generating 'sklearn/cluster/_hierarchical_fast.cpython-315-powerpc64le-linux-gnu.so.p/_hierarchical_fast.cpp' [71/253] Generating 'sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c' [72/253] Generating 'sklearn/cluster/_k_means_minibatch.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_minibatch.c' [73/253] Generating 'sklearn/cluster/_k_means_common.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_common.c' [74/253] Generating 'sklearn/cluster/_hdbscan/_linkage.cpython-315-powerpc64le-linux-gnu.so.p/_linkage.c' [75/253] Generating 'sklearn/cluster/_hdbscan/_tree.cpython-315-powerpc64le-linux-gnu.so.p/_tree.c' [76/253] Generating 'sklearn/decomposition/_online_lda_fast.cpython-315-powerpc64le-linux-gnu.so.p/_online_lda_fast.c' [77/253] Generating 'sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c' [78/253] Generating 'sklearn/cluster/_hdbscan/_reachability.cpython-315-powerpc64le-linux-gnu.so.p/_reachability.c' [79/253] Generating 'sklearn/decomposition/_cdnmf_fast.cpython-315-powerpc64le-linux-gnu.so.p/_cdnmf_fast.c' [80/253] Generating 'sklearn/ensemble/_hist_gradient_boosting/_gradient_boosting.cpython-315-powerpc64le-linux-gnu.so.p/_gradient_boosting.c' [81/253] Generating 'sklearn/ensemble/_gradient_boosting.cpython-315-powerpc64le-linux-gnu.so.p/_gradient_boosting.c' [82/253] Generating 'sklearn/datasets/_svmlight_format_fast.cpython-315-powerpc64le-linux-gnu.so.p/_svmlight_format_fast.c' [83/253] Generating 'sklearn/ensemble/_hist_gradient_boosting/histogram.cpython-315-powerpc64le-linux-gnu.so.p/histogram.c' [84/253] Generating 'sklearn/ensemble/_hist_gradient_boosting/_predictor.cpython-315-powerpc64le-linux-gnu.so.p/_predictor.c' [85/253] Generating 'sklearn/ensemble/_hist_gradient_boosting/common.cpython-315-powerpc64le-linux-gnu.so.p/common.c' [86/253] Generating 'sklearn/ensemble/_hist_gradient_boosting/_binning.cpython-315-powerpc64le-linux-gnu.so.p/_binning.c' [87/253] Generating 'sklearn/ensemble/_hist_gradient_boosting/_bitset.cpython-315-powerpc64le-linux-gnu.so.p/_bitset.c' [88/253] Generating 'sklearn/ensemble/_hist_gradient_boosting/splitting.cpython-315-powerpc64le-linux-gnu.so.p/splitting.c' [89/253] Generating 'sklearn/feature_extraction/_hashing_fast.cpython-315-powerpc64le-linux-gnu.so.p/_hashing_fast.cpp' [90/253] Generating 'sklearn/manifold/_utils.cpython-315-powerpc64le-linux-gnu.so.p/_utils.c' [91/253] Generating 'sklearn/linear_model/_sgd_fast.cpython-315-powerpc64le-linux-gnu.so.p/_sgd_fast.c' [92/253] Generating 'sklearn/linear_model/_cd_fast.cpython-315-powerpc64le-linux-gnu.so.p/_cd_fast.c' [93/253] Generating 'sklearn/linear_model/_sag_fast.cpython-315-powerpc64le-linux-gnu.so.p/_sag_fast.c' [94/253] Generating 'sklearn/neighbors/_partition_nodes.cpython-315-powerpc64le-linux-gnu.so.p/_partition_nodes.cpp' [95/253] Generating 'sklearn/manifold/_barnes_hut_tsne.cpython-315-powerpc64le-linux-gnu.so.p/_barnes_hut_tsne.c' [96/253] Generating 'sklearn/svm/_newrand.cpython-315-powerpc64le-linux-gnu.so.p/_newrand.cpp' [97/253] Generating 'sklearn/preprocessing/_csr_polynomial_expansion.cpython-315-powerpc64le-linux-gnu.so.p/_csr_polynomial_expansion.c' [98/253] Generating 'sklearn/neighbors/_ball_tree.cpython-315-powerpc64le-linux-gnu.so.p/_ball_tree.c' warning: sklearn/neighbors/_binary_tree.pxi:1091:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:1957:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2052:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2221:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2344:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2401:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2402:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2726:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3592:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3687:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3856:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3979:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:4036:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:4037:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_ball_tree.pyx:107:4: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier warning: sklearn/neighbors/_ball_tree.pyx:310:4: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier [99/253] Generating 'sklearn/preprocessing/_target_encoder_fast.cpython-315-powerpc64le-linux-gnu.so.p/_target_encoder_fast.cpp' [100/253] Generating 'sklearn/neighbors/_quad_tree.cpython-315-powerpc64le-linux-gnu.so.p/_quad_tree.c' [101/253] Compiling C++ object sklearn/svm/libliblinear-skl.a.p/src_liblinear_tron.cpp.o [102/253] Generating 'sklearn/neighbors/_kd_tree.cpython-315-powerpc64le-linux-gnu.so.p/_kd_tree.c' warning: sklearn/neighbors/_binary_tree.pxi:1091:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:1957:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2052:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2221:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2344:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2401:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2402:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2726:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3592:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3687:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3856:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3979:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:4036:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:4037:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_kd_tree.pyx:74:4: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier warning: sklearn/neighbors/_kd_tree.pyx:75:4: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier warning: sklearn/neighbors/_kd_tree.pyx:342:4: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier warning: sklearn/neighbors/_kd_tree.pyx:343:4: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier [103/253] Generating 'sklearn/svm/_libsvm.cpython-315-powerpc64le-linux-gnu.so.p/_libsvm.c' [104/253] Generating 'sklearn/svm/_libsvm_sparse.cpython-315-powerpc64le-linux-gnu.so.p/_libsvm_sparse.c' [105/253] Generating 'sklearn/svm/_liblinear.cpython-315-powerpc64le-linux-gnu.so.p/_liblinear.c' [106/253] Generating 'sklearn/tree/_partitioner.cpython-315-powerpc64le-linux-gnu.so.p/_partitioner.c' [107/253] Generating 'sklearn/tree/_criterion.cpython-315-powerpc64le-linux-gnu.so.p/_criterion.c' [108/253] Compiling C++ object sklearn/svm/libliblinear-skl.a.p/src_liblinear_linear.cpp.o [109/253] Generating 'sklearn/tree/_splitter.cpython-315-powerpc64le-linux-gnu.so.p/_splitter.c' [110/253] Generating 'sklearn/tree/_utils.cpython-315-powerpc64le-linux-gnu.so.p/_utils.c' [111/253] Generating 'sklearn/tree/_tree.cpython-315-powerpc64le-linux-gnu.so.p/_tree.cpp' [112/253] Compiling C object sklearn/__check_build/_check_build.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__check_build.c.o [113/253] Compiling C++ object sklearn/svm/liblibsvm-skl.a.p/src_libsvm_libsvm_template.cpp.o In file included from ../sklearn/svm/src/libsvm/libsvm_template.cpp:6: ../sklearn/svm/src/libsvm/svm.cpp: In function ‘void svm::solve_epsilon_svr(const svm_problem*, const svm_parameter*, double*, Solver::SolutionInfo*, BlasFunctions*)’: ../sklearn/svm/src/libsvm/svm.cpp:1781:16: warning: variable ‘sum_alpha’ set but not used [-Wunused-but-set-variable=] 1781 | double sum_alpha = 0; | ^~~~~~~~~ In file included from ../sklearn/svm/src/libsvm/libsvm_template.cpp:8: ../sklearn/svm/src/libsvm/svm.cpp: In function ‘void svm_csr::solve_epsilon_svr(const svm_csr_problem*, const svm_parameter*, double*, Solver::SolutionInfo*, BlasFunctions*)’: ../sklearn/svm/src/libsvm/svm.cpp:1781:16: warning: variable ‘sum_alpha’ set but not used [-Wunused-but-set-variable=] 1781 | double sum_alpha = 0; | ^~~~~~~~~ ../sklearn/svm/src/libsvm/svm.cpp: In function ‘svm::svm_train_one(svm_problem const*, svm_parameter const*, double, double, int*, BlasFunctions*)’: ../sklearn/svm/src/libsvm/svm.cpp:1883:13: warning: ‘si.obj’ may be used uninitialized [-Wmaybe-uninitialized] 1883 | info("obj = %f, rho = %f\n",si.obj,si.rho); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../sklearn/svm/src/libsvm/svm.cpp:1856:30: note: ‘si’ declared here 1856 | Solver::SolutionInfo si; | ^~ ../sklearn/svm/src/libsvm/svm.cpp:1883:13: warning: ‘si.rho’ may be used uninitialized [-Wmaybe-uninitialized] 1883 | info("obj = %f, rho = %f\n",si.obj,si.rho); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../sklearn/svm/src/libsvm/svm.cpp:1856:30: note: ‘si’ declared here 1856 | Solver::SolutionInfo si; | ^~ ../sklearn/svm/src/libsvm/svm.cpp: In function ‘svm_csr::svm_train_one(svm_csr_problem const*, svm_parameter const*, double, double, int*, BlasFunctions*)’: ../sklearn/svm/src/libsvm/svm.cpp:1883:13: warning: ‘si.obj’ may be used uninitialized [-Wmaybe-uninitialized] 1883 | info("obj = %f, rho = %f\n",si.obj,si.rho); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../sklearn/svm/src/libsvm/svm.cpp:1856:30: note: ‘si’ declared here 1856 | Solver::SolutionInfo si; | ^~ ../sklearn/svm/src/libsvm/svm.cpp:1883:13: warning: ‘si.rho’ may be used uninitialized [-Wmaybe-uninitialized] 1883 | info("obj = %f, rho = %f\n",si.obj,si.rho); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../sklearn/svm/src/libsvm/svm.cpp:1856:30: note: ‘si’ declared here 1856 | Solver::SolutionInfo si; | ^~ [114/253] Compiling C object sklearn/utils/murmurhash.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated_murmurhash.c.o [115/253] Compiling C++ object sklearn/utils/murmurhash.cpython-315-powerpc64le-linux-gnu.so.p/src_MurmurHash3.cpp.o [116/253] Compiling C object sklearn/_isotonic.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__isotonic.c.o [117/253] Compiling C object sklearn/_cyutility.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated_..__cyutility.c.o [118/253] Compiling C object sklearn/utils/arrayfuncs.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated_arrayfuncs.c.o [119/253] Compiling C object sklearn/utils/_openmp_helpers.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__openmp_helpers.c.o [120/253] Compiling C object sklearn/utils/_heap.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__heap.c.o [121/253] Compiling C object sklearn/utils/_sorting.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__sorting.c.o [122/253] Compiling C object sklearn/utils/_cython_blas.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__cython_blas.c.o [123/253] Compiling C++ object sklearn/utils/_fast_dict.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__fast_dict.cpp.o [124/253] Compiling C object sklearn/utils/_typedefs.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__typedefs.c.o [125/253] Compiling C object sklearn/utils/_isfinite.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__isfinite.c.o [126/253] Compiling C object sklearn/utils/_random.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__random.c.o [127/253] Compiling C object sklearn/utils/_weight_vector.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__weight_vector.c.o [128/253] Compiling C++ object sklearn/utils/_vector_sentinel.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__vector_sentinel.cpp.o [129/253] Compiling C object sklearn/utils/_seq_dataset.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__seq_dataset.c.o [130/253] Compiling C object sklearn/metrics/_pairwise_fast.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__pairwise_fast.c.o [131/253] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_base.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__base.cpp.o sklearn/metrics/_pairwise_distances_reduction/_base.cpython-315-powerpc64le-linux-gnu.so.p/_base.cpp: In function ‘__pyx_f_7sklearn_7metrics_29_pairwise_distances_reduction_5_base_24BaseDistancesReduction32__parallel_on_X(__pyx_obj_7sklearn_7metrics_29_pairwise_distances_reduction_5_base_BaseDistancesReduction32*)’: sklearn/metrics/_pairwise_distances_reduction/_base.cpython-315-powerpc64le-linux-gnu.so.p/_base.cpp:9043:21: warning: ‘__pyx_v_thread_num’ is used uninitialized [-Wuninitialized] 9043 | #pragma omp parallel firstprivate(__pyx_v_thread_num) private(__pyx_t_1, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7) num_threads(__pyx_v_self->chunks_n_threads) | ^~~ sklearn/metrics/_pairwise_distances_reduction/_base.cpython-315-powerpc64le-linux-gnu.so.p/_base.cpp:9014:45: note: ‘__pyx_v_thread_num’ was declared here 9014 | __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_thread_num; | ^~~~~~~~~~~~~~~~~~ sklearn/metrics/_pairwise_distances_reduction/_base.cpython-315-powerpc64le-linux-gnu.so.p/_base.cpp: In function ‘__pyx_f_7sklearn_7metrics_29_pairwise_distances_reduction_5_base_24BaseDistancesReduction64__parallel_on_X(__pyx_obj_7sklearn_7metrics_29_pairwise_distances_reduction_5_base_BaseDistancesReduction64*)’: sklearn/metrics/_pairwise_distances_reduction/_base.cpython-315-powerpc64le-linux-gnu.so.p/_base.cpp:6215:21: warning: ‘__pyx_v_thread_num’ is used uninitialized [-Wuninitialized] 6215 | #pragma omp parallel firstprivate(__pyx_v_thread_num) private(__pyx_t_1, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7) num_threads(__pyx_v_self->chunks_n_threads) | ^~~ sklearn/metrics/_pairwise_distances_reduction/_base.cpython-315-powerpc64le-linux-gnu.so.p/_base.cpp:6186:45: note: ‘__pyx_v_thread_num’ was declared here 6186 | __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_thread_num; | ^~~~~~~~~~~~~~~~~~ sklearn/metrics/_pairwise_distances_reduction/_base.cpython-315-powerpc64le-linux-gnu.so.p/_base.cpp: In function ‘__pyx_f_7sklearn_7metrics_29_pairwise_distances_reduction_5_base_24BaseDistancesReduction32__parallel_on_Y(__pyx_obj_7sklearn_7metrics_29_pairwise_distances_reduction_5_base_BaseDistancesReduction32*)’: sklearn/metrics/_pairwise_distances_reduction/_base.cpython-315-powerpc64le-linux-gnu.so.p/_base.cpp:9408:23: warning: ‘__pyx_v_thread_num’ may be used uninitialized [-Wmaybe-uninitialized] 9408 | #pragma omp parallel firstprivate(__pyx_v_thread_num) private(__pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7) num_threads(__pyx_v_self->chunks_n_threads) | ^~~ sklearn/metrics/_pairwise_distances_reduction/_base.cpython-315-powerpc64le-linux-gnu.so.p/_base.cpp:9308:45: note: ‘__pyx_v_thread_num’ was declared here 9308 | __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_thread_num; | ^~~~~~~~~~~~~~~~~~ sklearn/metrics/_pairwise_distances_reduction/_base.cpython-315-powerpc64le-linux-gnu.so.p/_base.cpp: In function ‘__pyx_f_7sklearn_7metrics_29_pairwise_distances_reduction_5_base_24BaseDistancesReduction64__parallel_on_Y(__pyx_obj_7sklearn_7metrics_29_pairwise_distances_reduction_5_base_BaseDistancesReduction64*)’: sklearn/metrics/_pairwise_distances_reduction/_base.cpython-315-powerpc64le-linux-gnu.so.p/_base.cpp:6580:23: warning: ‘__pyx_v_thread_num’ may be used uninitialized [-Wmaybe-uninitialized] 6580 | #pragma omp parallel firstprivate(__pyx_v_thread_num) private(__pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7) num_threads(__pyx_v_self->chunks_n_threads) | ^~~ sklearn/metrics/_pairwise_distances_reduction/_base.cpython-315-powerpc64le-linux-gnu.so.p/_base.cpp:6480:45: note: ‘__pyx_v_thread_num’ was declared here 6480 | __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_thread_num; | ^~~~~~~~~~~~~~~~~~ In function ‘__pyx_f_7sklearn_7metrics_29_pairwise_distances_reduction_5_base__sqeuclidean_row_norms32_dense(__Pyx_memviewslice, long)’, inlined from ‘__pyx_f_7sklearn_7metrics_29_pairwise_distances_reduction_5_base__sqeuclidean_row_norms32(_object*, long, int)’ at sklearn/metrics/_pairwise_distances_reduction/_base.cpython-315-powerpc64le-linux-gnu.so.p/_base.cpp:7997:113: sklearn/metrics/_pairwise_distances_reduction/_base.cpython-315-powerpc64le-linux-gnu.so.p/_base.cpp:4587:21: warning: ‘__pyx_v_thread_num’ may be used uninitialized [-Wmaybe-uninitialized] 4587 | #pragma omp parallel firstprivate(__pyx_v_thread_num) private(__pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_17, __pyx_t_18) num_threads(__pyx_v_num_threads) | ^~~ sklearn/metrics/_pairwise_distances_reduction/_base.cpython-315-powerpc64le-linux-gnu.so.p/_base.cpp: In function ‘__pyx_f_7sklearn_7metrics_29_pairwise_distances_reduction_5_base__sqeuclidean_row_norms32(_object*, long, int)’: sklearn/metrics/_pairwise_distances_reduction/_base.cpython-315-powerpc64le-linux-gnu.so.p/_base.cpp:4417:45: note: ‘__pyx_v_thread_num’ was declared here 4417 | __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_thread_num; | ^~~~~~~~~~~~~~~~~~ [132/253] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_datasets_pair.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__datasets_pair.cpp.o [133/253] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__argkmin.cpp.o sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-315-powerpc64le-linux-gnu.so.p/_argkmin.cpp: In function ‘__pyx_f_7sklearn_7metrics_29_pairwise_distances_reduction_8_argkmin_9ArgKmin64_compute_exact_distances(__pyx_obj_7sklearn_7metrics_29_pairwise_distances_reduction_8_argkmin_ArgKmin64*) [clone ._omp_fn.0]’: sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-315-powerpc64le-linux-gnu.so.p/_argkmin.cpp:6738:138: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized] 6738 | __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-315-powerpc64le-linux-gnu.so.p/_argkmin.cpp:6613:7: note: ‘__pyx_clineno’ was declared here 6613 | int __pyx_clineno = 0; | ^~~~~~~~~~~~~ sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-315-powerpc64le-linux-gnu.so.p/_argkmin.cpp: In function ‘__pyx_f_7sklearn_7metrics_29_pairwise_distances_reduction_8_argkmin_9ArgKmin32_compute_exact_distances(__pyx_obj_7sklearn_7metrics_29_pairwise_distances_reduction_8_argkmin_ArgKmin32*) [clone ._omp_fn.0]’: sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-315-powerpc64le-linux-gnu.so.p/_argkmin.cpp:11162:138: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized] 11162 | __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-315-powerpc64le-linux-gnu.so.p/_argkmin.cpp:11037:7: note: ‘__pyx_clineno’ was declared here 11037 | int __pyx_clineno = 0; | ^~~~~~~~~~~~~ [134/253] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__middle_term_computer.cpp.o [135/253] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__argkmin_classmode.cpp.o [136/253] Compiling C object sklearn/metrics/cluster/_expected_mutual_info_fast.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__expected_mutual_info_fast.c.o [137/253] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__radius_neighbors.cpp.o sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-315-powerpc64le-linux-gnu.so.p/_radius_neighbors.cpp: In function ‘__pyx_f_7sklearn_7metrics_29_pairwise_distances_reduction_17_radius_neighbors_17RadiusNeighbors64_compute_exact_distances(__pyx_obj_7sklearn_7metrics_29_pairwise_distances_reduction_17_radius_neighbors_RadiusNeighbors64*) [clone ._omp_fn.0]’: sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-315-powerpc64le-linux-gnu.so.p/_radius_neighbors.cpp:9888:138: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized] 9888 | __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-315-powerpc64le-linux-gnu.so.p/_radius_neighbors.cpp:9772:7: note: ‘__pyx_clineno’ was declared here 9772 | int __pyx_clineno = 0; | ^~~~~~~~~~~~~ sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-315-powerpc64le-linux-gnu.so.p/_radius_neighbors.cpp: In function ‘__pyx_f_7sklearn_7metrics_29_pairwise_distances_reduction_17_radius_neighbors_17RadiusNeighbors32_compute_exact_distances(__pyx_obj_7sklearn_7metrics_29_pairwise_distances_reduction_17_radius_neighbors_RadiusNeighbors32*) [clone ._omp_fn.0]’: sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-315-powerpc64le-linux-gnu.so.p/_radius_neighbors.cpp:14122:138: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized] 14122 | __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-315-powerpc64le-linux-gnu.so.p/_radius_neighbors.cpp:14006:7: note: ‘__pyx_clineno’ was declared here 14006 | int __pyx_clineno = 0; | ^~~~~~~~~~~~~ [138/253] Compiling C object sklearn/utils/sparsefuncs_fast.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated_sparsefuncs_fast.c.o [139/253] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_classmode.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__radius_neighbors_classmode.cpp.o [140/253] Compiling C++ object sklearn/cluster/_dbscan_inner.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__dbscan_inner.cpp.o [141/253] Compiling C object sklearn/metrics/_dist_metrics.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__dist_metrics.c.o [142/253] Compiling C object sklearn/cluster/_k_means_minibatch.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__k_means_minibatch.c.o sklearn/cluster/_k_means_minibatch.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_minibatch.c: In function ‘__pyx_pf_7sklearn_7cluster_18_k_means_minibatch_6_minibatch_update_dense’: sklearn/cluster/_k_means_minibatch.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_minibatch.c:5325:21: warning: ‘__pyx_v_indices’ is used uninitialized [-Wuninitialized] 5325 | #pragma omp parallel firstprivate(__pyx_v_indices) private(__pyx_t_1, __pyx_t_2, __pyx_t_3) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_minibatch.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_minibatch.c:5279:8: note: ‘__pyx_v_indices’ was declared here 5279 | int *__pyx_v_indices; | ^~~~~~~~~~~~~~~ sklearn/cluster/_k_means_minibatch.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_minibatch.c: In function ‘__pyx_pf_7sklearn_7cluster_18_k_means_minibatch_4_minibatch_update_dense’: sklearn/cluster/_k_means_minibatch.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_minibatch.c:5051:21: warning: ‘__pyx_v_indices’ is used uninitialized [-Wuninitialized] 5051 | #pragma omp parallel firstprivate(__pyx_v_indices) private(__pyx_t_1, __pyx_t_2, __pyx_t_3) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_minibatch.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_minibatch.c:5005:8: note: ‘__pyx_v_indices’ was declared here 5005 | int *__pyx_v_indices; | ^~~~~~~~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_18_k_means_minibatch_10_minibatch_update_sparse’, inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_18_k_means_minibatch_11_minibatch_update_sparse’ at sklearn/cluster/_k_means_minibatch.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_minibatch.c:6419:13: sklearn/cluster/_k_means_minibatch.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_minibatch.c:6546:21: warning: ‘__pyx_v_indices’ may be used uninitialized [-Wmaybe-uninitialized] 6546 | #pragma omp parallel firstprivate(__pyx_v_indices) private(__pyx_t_5, __pyx_t_6, __pyx_t_7) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_minibatch.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_minibatch.c: In function ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_18_k_means_minibatch_11_minibatch_update_sparse’: sklearn/cluster/_k_means_minibatch.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_minibatch.c:6441:8: note: ‘__pyx_v_indices’ was declared here 6441 | int *__pyx_v_indices; | ^~~~~~~~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_18_k_means_minibatch_12_minibatch_update_sparse’, inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_18_k_means_minibatch_13_minibatch_update_sparse’ at sklearn/cluster/_k_means_minibatch.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_minibatch.c:6765:13: sklearn/cluster/_k_means_minibatch.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_minibatch.c:6892:21: warning: ‘__pyx_v_indices’ may be used uninitialized [-Wmaybe-uninitialized] 6892 | #pragma omp parallel firstprivate(__pyx_v_indices) private(__pyx_t_5, __pyx_t_6, __pyx_t_7) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_minibatch.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_minibatch.c: In function ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_18_k_means_minibatch_13_minibatch_update_sparse’: sklearn/cluster/_k_means_minibatch.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_minibatch.c:6787:8: note: ‘__pyx_v_indices’ was declared here 6787 | int *__pyx_v_indices; | ^~~~~~~~~~~~~~~ [143/253] Compiling C object sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__k_means_lloyd.c.o In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_12lloyd_iter_chunked_sparse’, inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_13lloyd_iter_chunked_sparse’ at sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:9173:13: sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:9559:21: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 9559 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_20, __pyx_t_21, __pyx_t_3, __pyx_t_4, __pyx_t_6) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_7, __pyx_t_8) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c: In function ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_13lloyd_iter_chunked_sparse’: sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:9214:11: note: ‘__pyx_v_weight_in_clusters_chunk’ was declared here 9214 | double *__pyx_v_weight_in_clusters_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_12lloyd_iter_chunked_sparse’, inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_13lloyd_iter_chunked_sparse’ at sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:9173:13: sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:9559:21: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized] 9559 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_20, __pyx_t_21, __pyx_t_3, __pyx_t_4, __pyx_t_6) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_7, __pyx_t_8) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c: In function ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_13lloyd_iter_chunked_sparse’: sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:9208:7: note: ‘__pyx_v_k’ was declared here 9208 | int __pyx_v_k; | ^~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_12lloyd_iter_chunked_sparse’, inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_13lloyd_iter_chunked_sparse’ at sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:9173:13: sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:9559:21: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized] 9559 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_20, __pyx_t_21, __pyx_t_3, __pyx_t_4, __pyx_t_6) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_7, __pyx_t_8) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c: In function ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_13lloyd_iter_chunked_sparse’: sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:9207:7: note: ‘__pyx_v_j’ was declared here 9207 | int __pyx_v_j; | ^~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_12lloyd_iter_chunked_sparse’, inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_13lloyd_iter_chunked_sparse’ at sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:9173:13: sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:9559:21: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 9559 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_20, __pyx_t_21, __pyx_t_3, __pyx_t_4, __pyx_t_6) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_7, __pyx_t_8) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c: In function ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_13lloyd_iter_chunked_sparse’: sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:9213:11: note: ‘__pyx_v_centers_new_chunk’ was declared here 9213 | double *__pyx_v_centers_new_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_10lloyd_iter_chunked_sparse’, inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_11lloyd_iter_chunked_sparse’ at sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:8022:13: sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:8408:21: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 8408 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_20, __pyx_t_21, __pyx_t_3, __pyx_t_4, __pyx_t_6) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_7, __pyx_t_8) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c: In function ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_11lloyd_iter_chunked_sparse’: sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:8063:10: note: ‘__pyx_v_weight_in_clusters_chunk’ was declared here 8063 | float *__pyx_v_weight_in_clusters_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_10lloyd_iter_chunked_sparse’, inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_11lloyd_iter_chunked_sparse’ at sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:8022:13: sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:8408:21: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized] 8408 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_20, __pyx_t_21, __pyx_t_3, __pyx_t_4, __pyx_t_6) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_7, __pyx_t_8) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c: In function ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_11lloyd_iter_chunked_sparse’: sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:8057:7: note: ‘__pyx_v_k’ was declared here 8057 | int __pyx_v_k; | ^~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_10lloyd_iter_chunked_sparse’, inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_11lloyd_iter_chunked_sparse’ at sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:8022:13: sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:8408:21: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized] 8408 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_20, __pyx_t_21, __pyx_t_3, __pyx_t_4, __pyx_t_6) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_7, __pyx_t_8) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c: In function ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_11lloyd_iter_chunked_sparse’: sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:8056:7: note: ‘__pyx_v_j’ was declared here 8056 | int __pyx_v_j; | ^~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_10lloyd_iter_chunked_sparse’, inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_11lloyd_iter_chunked_sparse’ at sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:8022:13: sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:8408:21: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 8408 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_20, __pyx_t_21, __pyx_t_3, __pyx_t_4, __pyx_t_6) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_7, __pyx_t_8) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c: In function ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_11lloyd_iter_chunked_sparse’: sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:8062:10: note: ‘__pyx_v_centers_new_chunk’ was declared here 8062 | float *__pyx_v_centers_new_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_6lloyd_iter_chunked_dense’, inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_7lloyd_iter_chunked_dense’ at sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:6177:13: sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:6492:21: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 6492 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_pairwise_distances_chunk, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_16, __pyx_t_19, __pyx_t_2, __pyx_t_20, __pyx_t_6) firstprivate(__pyx_t_15, __pyx_t_17, __pyx_t_18) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c: In function ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_7lloyd_iter_chunked_dense’: sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:6216:11: note: ‘__pyx_v_weight_in_clusters_chunk’ was declared here 6216 | double *__pyx_v_weight_in_clusters_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_6lloyd_iter_chunked_dense’, inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_7lloyd_iter_chunked_dense’ at sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:6177:13: sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:6492:21: warning: ‘__pyx_v_pairwise_distances_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 6492 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_pairwise_distances_chunk, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_16, __pyx_t_19, __pyx_t_2, __pyx_t_20, __pyx_t_6) firstprivate(__pyx_t_15, __pyx_t_17, __pyx_t_18) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c: In function ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_7lloyd_iter_chunked_dense’: sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:6217:11: note: ‘__pyx_v_pairwise_distances_chunk’ was declared here 6217 | double *__pyx_v_pairwise_distances_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_6lloyd_iter_chunked_dense’, inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_7lloyd_iter_chunked_dense’ at sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:6177:13: sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:6492:21: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized] 6492 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_pairwise_distances_chunk, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_16, __pyx_t_19, __pyx_t_2, __pyx_t_20, __pyx_t_6) firstprivate(__pyx_t_15, __pyx_t_17, __pyx_t_18) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c: In function ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_7lloyd_iter_chunked_dense’: sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:6213:7: note: ‘__pyx_v_k’ was declared here 6213 | int __pyx_v_k; | ^~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_6lloyd_iter_chunked_dense’, inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_7lloyd_iter_chunked_dense’ at sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:6177:13: sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:6492:21: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized] 6492 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_pairwise_distances_chunk, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_16, __pyx_t_19, __pyx_t_2, __pyx_t_20, __pyx_t_6) firstprivate(__pyx_t_15, __pyx_t_17, __pyx_t_18) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c: In function ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_7lloyd_iter_chunked_dense’: sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:6212:7: note: ‘__pyx_v_j’ was declared here 6212 | int __pyx_v_j; | ^~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_6lloyd_iter_chunked_dense’, inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_7lloyd_iter_chunked_dense’ at sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:6177:13: sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:6492:21: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 6492 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_pairwise_distances_chunk, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_16, __pyx_t_19, __pyx_t_2, __pyx_t_20, __pyx_t_6) firstprivate(__pyx_t_15, __pyx_t_17, __pyx_t_18) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c: In function ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_7lloyd_iter_chunked_dense’: sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:6215:11: note: ‘__pyx_v_centers_new_chunk’ was declared here 6215 | double *__pyx_v_centers_new_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_4lloyd_iter_chunked_dense’, inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_5lloyd_iter_chunked_dense’ at sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:5148:13: sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:5463:21: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 5463 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_pairwise_distances_chunk, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_16, __pyx_t_19, __pyx_t_2, __pyx_t_20, __pyx_t_6) firstprivate(__pyx_t_15, __pyx_t_17, __pyx_t_18) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c: In function ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_5lloyd_iter_chunked_dense’: sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:5187:10: note: ‘__pyx_v_weight_in_clusters_chunk’ was declared here 5187 | float *__pyx_v_weight_in_clusters_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_4lloyd_iter_chunked_dense’, inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_5lloyd_iter_chunked_dense’ at sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:5148:13: sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:5463:21: warning: ‘__pyx_v_pairwise_distances_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 5463 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_pairwise_distances_chunk, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_16, __pyx_t_19, __pyx_t_2, __pyx_t_20, __pyx_t_6) firstprivate(__pyx_t_15, __pyx_t_17, __pyx_t_18) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c: In function ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_5lloyd_iter_chunked_dense’: sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:5188:10: note: ‘__pyx_v_pairwise_distances_chunk’ was declared here 5188 | float *__pyx_v_pairwise_distances_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_4lloyd_iter_chunked_dense’, inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_5lloyd_iter_chunked_dense’ at sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:5148:13: sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:5463:21: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized] 5463 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_pairwise_distances_chunk, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_16, __pyx_t_19, __pyx_t_2, __pyx_t_20, __pyx_t_6) firstprivate(__pyx_t_15, __pyx_t_17, __pyx_t_18) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c: In function ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_5lloyd_iter_chunked_dense’: sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:5184:7: note: ‘__pyx_v_k’ was declared here 5184 | int __pyx_v_k; | ^~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_4lloyd_iter_chunked_dense’, inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_5lloyd_iter_chunked_dense’ at sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:5148:13: sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:5463:21: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized] 5463 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_pairwise_distances_chunk, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_16, __pyx_t_19, __pyx_t_2, __pyx_t_20, __pyx_t_6) firstprivate(__pyx_t_15, __pyx_t_17, __pyx_t_18) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c: In function ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_5lloyd_iter_chunked_dense’: sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:5183:7: note: ‘__pyx_v_j’ was declared here 5183 | int __pyx_v_j; | ^~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_4lloyd_iter_chunked_dense’, inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_5lloyd_iter_chunked_dense’ at sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:5148:13: sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:5463:21: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 5463 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_pairwise_distances_chunk, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_16, __pyx_t_19, __pyx_t_2, __pyx_t_20, __pyx_t_6) firstprivate(__pyx_t_15, __pyx_t_17, __pyx_t_18) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c: In function ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_5lloyd_iter_chunked_dense’: sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c:5186:10: note: ‘__pyx_v_centers_new_chunk’ was declared here 5186 | float *__pyx_v_centers_new_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~ [144/253] Compiling C++ object sklearn/cluster/_hierarchical_fast.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__hierarchical_fast.cpp.o [145/253] Compiling C object sklearn/cluster/_hdbscan/_linkage.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__linkage.c.o [146/253] Compiling C object sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__k_means_elkan.c.o In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_22elkan_iter_chunked_dense’, inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_elkan_23elkan_iter_chunked_dense’ at sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:9293:13: sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:9567:21: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 9567 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_10, __pyx_t_12, __pyx_t_17, __pyx_t_18, __pyx_t_2, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) firstprivate(__pyx_t_11, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c: In function ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_elkan_23elkan_iter_chunked_dense’: sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:9336:11: note: ‘__pyx_v_weight_in_clusters_chunk’ was declared here 9336 | double *__pyx_v_weight_in_clusters_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_22elkan_iter_chunked_dense’, inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_elkan_23elkan_iter_chunked_dense’ at sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:9293:13: sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:9567:21: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized] 9567 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_10, __pyx_t_12, __pyx_t_17, __pyx_t_18, __pyx_t_2, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) firstprivate(__pyx_t_11, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c: In function ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_elkan_23elkan_iter_chunked_dense’: sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:9334:7: note: ‘__pyx_v_k’ was declared here 9334 | int __pyx_v_k; | ^~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_22elkan_iter_chunked_dense’, inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_elkan_23elkan_iter_chunked_dense’ at sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:9293:13: sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:9567:21: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized] 9567 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_10, __pyx_t_12, __pyx_t_17, __pyx_t_18, __pyx_t_2, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) firstprivate(__pyx_t_11, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c: In function ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_elkan_23elkan_iter_chunked_dense’: sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:9333:7: note: ‘__pyx_v_j’ was declared here 9333 | int __pyx_v_j; | ^~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_22elkan_iter_chunked_dense’, inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_elkan_23elkan_iter_chunked_dense’ at sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:9293:13: sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:9567:21: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 9567 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_10, __pyx_t_12, __pyx_t_17, __pyx_t_18, __pyx_t_2, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) firstprivate(__pyx_t_11, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c: In function ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_elkan_23elkan_iter_chunked_dense’: sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:9335:11: note: ‘__pyx_v_centers_new_chunk’ was declared here 9335 | double *__pyx_v_centers_new_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_20elkan_iter_chunked_dense’, inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_elkan_21elkan_iter_chunked_dense’ at sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:8137:13: sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:8411:21: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 8411 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_10, __pyx_t_12, __pyx_t_17, __pyx_t_18, __pyx_t_2, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) firstprivate(__pyx_t_11, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c: In function ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_elkan_21elkan_iter_chunked_dense’: sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:8180:10: note: ‘__pyx_v_weight_in_clusters_chunk’ was declared here 8180 | float *__pyx_v_weight_in_clusters_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_20elkan_iter_chunked_dense’, inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_elkan_21elkan_iter_chunked_dense’ at sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:8137:13: sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:8411:21: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized] 8411 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_10, __pyx_t_12, __pyx_t_17, __pyx_t_18, __pyx_t_2, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) firstprivate(__pyx_t_11, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c: In function ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_elkan_21elkan_iter_chunked_dense’: sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:8178:7: note: ‘__pyx_v_k’ was declared here 8178 | int __pyx_v_k; | ^~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_20elkan_iter_chunked_dense’, inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_elkan_21elkan_iter_chunked_dense’ at sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:8137:13: sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:8411:21: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized] 8411 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_10, __pyx_t_12, __pyx_t_17, __pyx_t_18, __pyx_t_2, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) firstprivate(__pyx_t_11, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c: In function ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_elkan_21elkan_iter_chunked_dense’: sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:8177:7: note: ‘__pyx_v_j’ was declared here 8177 | int __pyx_v_j; | ^~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_20elkan_iter_chunked_dense’, inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_elkan_21elkan_iter_chunked_dense’ at sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:8137:13: sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:8411:21: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 8411 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_10, __pyx_t_12, __pyx_t_17, __pyx_t_18, __pyx_t_2, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) firstprivate(__pyx_t_11, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c: In function ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_elkan_21elkan_iter_chunked_dense’: sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:8179:10: note: ‘__pyx_v_centers_new_chunk’ was declared here 8179 | float *__pyx_v_centers_new_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_26elkan_iter_chunked_sparse’, inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_elkan_27elkan_iter_chunked_sparse’ at sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:11619:13: sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:12003:21: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 12003 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_22, __pyx_t_23, __pyx_t_3, __pyx_t_4, __pyx_t_8) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_20, __pyx_t_21, __pyx_t_5, __pyx_t_6) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c: In function ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_elkan_27elkan_iter_chunked_sparse’: sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:11665:10: note: ‘__pyx_v_weight_in_clusters_chunk’ was declared here 11665 | float *__pyx_v_weight_in_clusters_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_26elkan_iter_chunked_sparse’, inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_elkan_27elkan_iter_chunked_sparse’ at sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:11619:13: sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:12003:21: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized] 12003 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_22, __pyx_t_23, __pyx_t_3, __pyx_t_4, __pyx_t_8) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_20, __pyx_t_21, __pyx_t_5, __pyx_t_6) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c: In function ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_elkan_27elkan_iter_chunked_sparse’: sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:11662:7: note: ‘__pyx_v_k’ was declared here 11662 | int __pyx_v_k; | ^~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_26elkan_iter_chunked_sparse’, inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_elkan_27elkan_iter_chunked_sparse’ at sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:11619:13: sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:12003:21: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized] 12003 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_22, __pyx_t_23, __pyx_t_3, __pyx_t_4, __pyx_t_8) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_20, __pyx_t_21, __pyx_t_5, __pyx_t_6) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c: In function ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_elkan_27elkan_iter_chunked_sparse’: sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:11661:7: note: ‘__pyx_v_j’ was declared here 11661 | int __pyx_v_j; | ^~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_26elkan_iter_chunked_sparse’, inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_elkan_27elkan_iter_chunked_sparse’ at sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:11619:13: sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:12003:21: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 12003 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_22, __pyx_t_23, __pyx_t_3, __pyx_t_4, __pyx_t_8) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_20, __pyx_t_21, __pyx_t_5, __pyx_t_6) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c: In function ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_elkan_27elkan_iter_chunked_sparse’: sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:11664:10: note: ‘__pyx_v_centers_new_chunk’ was declared here 11664 | float *__pyx_v_centers_new_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_28elkan_iter_chunked_sparse’, inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_elkan_29elkan_iter_chunked_sparse’ at sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:12958:13: sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:13342:21: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 13342 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_22, __pyx_t_23, __pyx_t_3, __pyx_t_4, __pyx_t_8) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_20, __pyx_t_21, __pyx_t_5, __pyx_t_6) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c: In function ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_elkan_29elkan_iter_chunked_sparse’: sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:13004:11: note: ‘__pyx_v_weight_in_clusters_chunk’ was declared here 13004 | double *__pyx_v_weight_in_clusters_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_28elkan_iter_chunked_sparse’, inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_elkan_29elkan_iter_chunked_sparse’ at sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:12958:13: sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:13342:21: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized] 13342 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_22, __pyx_t_23, __pyx_t_3, __pyx_t_4, __pyx_t_8) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_20, __pyx_t_21, __pyx_t_5, __pyx_t_6) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c: In function ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_elkan_29elkan_iter_chunked_sparse’: sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:13001:7: note: ‘__pyx_v_k’ was declared here 13001 | int __pyx_v_k; | ^~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_28elkan_iter_chunked_sparse’, inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_elkan_29elkan_iter_chunked_sparse’ at sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:12958:13: sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:13342:21: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized] 13342 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_22, __pyx_t_23, __pyx_t_3, __pyx_t_4, __pyx_t_8) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_20, __pyx_t_21, __pyx_t_5, __pyx_t_6) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c: In function ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_elkan_29elkan_iter_chunked_sparse’: sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:13000:7: note: ‘__pyx_v_j’ was declared here 13000 | int __pyx_v_j; | ^~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_28elkan_iter_chunked_sparse’, inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_elkan_29elkan_iter_chunked_sparse’ at sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:12958:13: sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:13342:21: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 13342 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_22, __pyx_t_23, __pyx_t_3, __pyx_t_4, __pyx_t_8) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_20, __pyx_t_21, __pyx_t_5, __pyx_t_6) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c: In function ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_elkan_29elkan_iter_chunked_sparse’: sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so.p/_k_means_elkan.c:13003:11: note: ‘__pyx_v_centers_new_chunk’ was declared here 13003 | double *__pyx_v_centers_new_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~ [147/253] Compiling C object sklearn/cluster/_k_means_common.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__k_means_common.c.o [148/253] Compiling C object sklearn/decomposition/_cdnmf_fast.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__cdnmf_fast.c.o [149/253] Compiling C object sklearn/ensemble/_gradient_boosting.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__gradient_boosting.c.o [150/253] Compiling C object sklearn/decomposition/_online_lda_fast.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__online_lda_fast.c.o [151/253] Compiling C object sklearn/cluster/_hdbscan/_reachability.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__reachability.c.o [152/253] Compiling C object sklearn/ensemble/_hist_gradient_boosting/_gradient_boosting.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__gradient_boosting.c.o [153/253] Compiling C object sklearn/ensemble/_hist_gradient_boosting/_binning.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__binning.c.o [154/253] Compiling C object sklearn/cluster/_hdbscan/_tree.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__tree.c.o [155/253] Compiling C object sklearn/ensemble/_hist_gradient_boosting/histogram.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated_histogram.c.o [156/253] Compiling C object sklearn/ensemble/_hist_gradient_boosting/_predictor.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__predictor.c.o [157/253] Compiling C object sklearn/ensemble/_hist_gradient_boosting/common.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated_common.c.o [158/253] Compiling C object sklearn/ensemble/_hist_gradient_boosting/_bitset.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__bitset.c.o [159/253] Compiling C object sklearn/ensemble/_hist_gradient_boosting/splitting.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated_splitting.c.o [160/253] Compiling C++ object sklearn/feature_extraction/_hashing_fast.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__hashing_fast.cpp.o [161/253] Compiling C object sklearn/manifold/_utils.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__utils.c.o [162/253] Compiling C object sklearn/linear_model/_sag_fast.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__sag_fast.c.o [163/253] Compiling C object sklearn/manifold/_barnes_hut_tsne.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__barnes_hut_tsne.c.o sklearn/manifold/_barnes_hut_tsne.cpython-315-powerpc64le-linux-gnu.so.p/_barnes_hut_tsne.c: In function ‘__pyx_f_7sklearn_8manifold_16_barnes_hut_tsne_compute_gradient_negative’: sklearn/manifold/_barnes_hut_tsne.cpython-315-powerpc64le-linux-gnu.so.p/_barnes_hut_tsne.c:6882:21: warning: ‘__pyx_v_summary’ is used uninitialized [-Wuninitialized] 6882 | #pragma omp parallel firstprivate(__pyx_v_force, __pyx_v_neg_force, __pyx_v_pos, __pyx_v_summary) reduction(+:__pyx_v_dta) reduction(+:__pyx_v_dtb) reduction(+:__pyx_v_sum_Q) private(__pyx_t_1, __pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_num_threads) | ^~~ sklearn/manifold/_barnes_hut_tsne.cpython-315-powerpc64le-linux-gnu.so.p/_barnes_hut_tsne.c:6733:10: note: ‘__pyx_v_summary’ was declared here 6733 | float *__pyx_v_summary; | ^~~~~~~~~~~~~~~ sklearn/manifold/_barnes_hut_tsne.cpython-315-powerpc64le-linux-gnu.so.p/_barnes_hut_tsne.c:6882:21: warning: ‘__pyx_v_pos’ is used uninitialized [-Wuninitialized] 6882 | #pragma omp parallel firstprivate(__pyx_v_force, __pyx_v_neg_force, __pyx_v_pos, __pyx_v_summary) reduction(+:__pyx_v_dta) reduction(+:__pyx_v_dtb) reduction(+:__pyx_v_sum_Q) private(__pyx_t_1, __pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_num_threads) | ^~~ sklearn/manifold/_barnes_hut_tsne.cpython-315-powerpc64le-linux-gnu.so.p/_barnes_hut_tsne.c:6728:10: note: ‘__pyx_v_pos’ was declared here 6728 | float *__pyx_v_pos; | ^~~~~~~~~~~ sklearn/manifold/_barnes_hut_tsne.cpython-315-powerpc64le-linux-gnu.so.p/_barnes_hut_tsne.c:6882:21: warning: ‘__pyx_v_neg_force’ is used uninitialized [-Wuninitialized] 6882 | #pragma omp parallel firstprivate(__pyx_v_force, __pyx_v_neg_force, __pyx_v_pos, __pyx_v_summary) reduction(+:__pyx_v_dta) reduction(+:__pyx_v_dtb) reduction(+:__pyx_v_sum_Q) private(__pyx_t_1, __pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_num_threads) | ^~~ sklearn/manifold/_barnes_hut_tsne.cpython-315-powerpc64le-linux-gnu.so.p/_barnes_hut_tsne.c:6727:10: note: ‘__pyx_v_neg_force’ was declared here 6727 | float *__pyx_v_neg_force; | ^~~~~~~~~~~~~~~~~ sklearn/manifold/_barnes_hut_tsne.cpython-315-powerpc64le-linux-gnu.so.p/_barnes_hut_tsne.c:6882:21: warning: ‘__pyx_v_force’ is used uninitialized [-Wuninitialized] 6882 | #pragma omp parallel firstprivate(__pyx_v_force, __pyx_v_neg_force, __pyx_v_pos, __pyx_v_summary) reduction(+:__pyx_v_dta) reduction(+:__pyx_v_dtb) reduction(+:__pyx_v_sum_Q) private(__pyx_t_1, __pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_num_threads) | ^~~ sklearn/manifold/_barnes_hut_tsne.cpython-315-powerpc64le-linux-gnu.so.p/_barnes_hut_tsne.c:6726:10: note: ‘__pyx_v_force’ was declared here 6726 | float *__pyx_v_force; | ^~~~~~~~~~~~~ sklearn/manifold/_barnes_hut_tsne.cpython-315-powerpc64le-linux-gnu.so.p/_barnes_hut_tsne.c: In function ‘__pyx_f_7sklearn_8manifold_16_barnes_hut_tsne_compute_gradient_positive’: sklearn/manifold/_barnes_hut_tsne.cpython-315-powerpc64le-linux-gnu.so.p/_barnes_hut_tsne.c:6337:21: warning: ‘__pyx_v_buff’ is used uninitialized [-Wuninitialized] 6337 | #pragma omp parallel firstprivate(__pyx_v_buff) reduction(+:__pyx_v_C) private(__pyx_t_1, __pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_2, __pyx_t_20, __pyx_t_21, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_num_threads) | ^~~ sklearn/manifold/_barnes_hut_tsne.cpython-315-powerpc64le-linux-gnu.so.p/_barnes_hut_tsne.c:6216:10: note: ‘__pyx_v_buff’ was declared here 6216 | float *__pyx_v_buff; | ^~~~~~~~~~~~ [164/253] Compiling C object sklearn/datasets/_svmlight_format_fast.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__svmlight_format_fast.c.o [165/253] Compiling C++ object sklearn/neighbors/_partition_nodes.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__partition_nodes.cpp.o [166/253] Compiling C object sklearn/linear_model/_sgd_fast.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__sgd_fast.c.o [167/253] Compiling C object sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__loss.c.o In function ‘__pyx_pf_5_loss_21CyHalfMultinomialLoss_28loss_gradient’, inlined from ‘__pyx_fuse_0_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_29loss_gradient’ at sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:87069:13: sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:87158:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 87158 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_1, __pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads) | ^~~ sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_29loss_gradient’: sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:87091:11: note: ‘__pyx_v_p’ was declared here 87091 | double *__pyx_v_p; | ^~~~~~~~~ In function ‘__pyx_pf_5_loss_21CyHalfMultinomialLoss_30loss_gradient’, inlined from ‘__pyx_fuse_0_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_31loss_gradient’ at sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:87685:13: sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:87774:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 87774 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_1, __pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads) | ^~~ sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_31loss_gradient’: sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:87707:11: note: ‘__pyx_v_p’ was declared here 87707 | double *__pyx_v_p; | ^~~~~~~~~ In function ‘__pyx_pf_5_loss_21CyHalfMultinomialLoss_32loss_gradient’, inlined from ‘__pyx_fuse_1_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_33loss_gradient’ at sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:88301:13: sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:88390:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 88390 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_1, __pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads) | ^~~ sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_33loss_gradient’: sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:88323:10: note: ‘__pyx_v_p’ was declared here 88323 | float *__pyx_v_p; | ^~~~~~~~~ In function ‘__pyx_pf_5_loss_21CyHalfMultinomialLoss_34loss_gradient’, inlined from ‘__pyx_fuse_1_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_35loss_gradient’ at sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:88917:13: sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:89006:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 89006 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_1, __pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads) | ^~~ sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_35loss_gradient’: sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:88939:10: note: ‘__pyx_v_p’ was declared here 88939 | float *__pyx_v_p; | ^~~~~~~~~ In function ‘__pyx_pf_5_loss_21CyHalfMultinomialLoss_48gradient_hessian’, inlined from ‘__pyx_fuse_0_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_49gradient_hessian’ at sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:92179:13: sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:92267:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 92267 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads) | ^~~ sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_49gradient_hessian’: sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:92200:11: note: ‘__pyx_v_p’ was declared here 92200 | double *__pyx_v_p; | ^~~~~~~~~ In function ‘__pyx_pf_5_loss_21CyHalfMultinomialLoss_50gradient_hessian’, inlined from ‘__pyx_fuse_0_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_51gradient_hessian’ at sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:92702:13: sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:92790:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 92790 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads) | ^~~ sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_51gradient_hessian’: sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:92723:11: note: ‘__pyx_v_p’ was declared here 92723 | double *__pyx_v_p; | ^~~~~~~~~ In function ‘__pyx_pf_5_loss_21CyHalfMultinomialLoss_52gradient_hessian’, inlined from ‘__pyx_fuse_1_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_53gradient_hessian’ at sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:93225:13: sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:93313:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 93313 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads) | ^~~ sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_53gradient_hessian’: sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:93246:10: note: ‘__pyx_v_p’ was declared here 93246 | float *__pyx_v_p; | ^~~~~~~~~ In function ‘__pyx_pf_5_loss_21CyHalfMultinomialLoss_54gradient_hessian’, inlined from ‘__pyx_fuse_1_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_55gradient_hessian’ at sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:93748:13: sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:93836:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 93836 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads) | ^~~ sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_55gradient_hessian’: sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:93769:10: note: ‘__pyx_v_p’ was declared here 93769 | float *__pyx_v_p; | ^~~~~~~~~ In function ‘__pyx_pf_5_loss_21CyHalfMultinomialLoss_58gradient_proba’, inlined from ‘__pyx_fuse_0_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_59gradient_proba’ at sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:94614:13: sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:94703:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 94703 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads) | ^~~ sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_59gradient_proba’: sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:94635:11: note: ‘__pyx_v_p’ was declared here 94635 | double *__pyx_v_p; | ^~~~~~~~~ In function ‘__pyx_pf_5_loss_21CyHalfMultinomialLoss_60gradient_proba’, inlined from ‘__pyx_fuse_0_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_61gradient_proba’ at sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:95119:13: sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:95208:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 95208 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads) | ^~~ sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_61gradient_proba’: sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:95140:11: note: ‘__pyx_v_p’ was declared here 95140 | double *__pyx_v_p; | ^~~~~~~~~ In function ‘__pyx_pf_5_loss_21CyHalfMultinomialLoss_62gradient_proba’, inlined from ‘__pyx_fuse_1_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_63gradient_proba’ at sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:95624:13: sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:95713:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 95713 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads) | ^~~ sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_63gradient_proba’: sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:95645:10: note: ‘__pyx_v_p’ was declared here 95645 | float *__pyx_v_p; | ^~~~~~~~~ In function ‘__pyx_pf_5_loss_21CyHalfMultinomialLoss_64gradient_proba’, inlined from ‘__pyx_fuse_1_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_65gradient_proba’ at sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:96129:13: sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:96218:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 96218 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads) | ^~~ sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_65gradient_proba’: sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:96150:10: note: ‘__pyx_v_p’ was declared here 96150 | float *__pyx_v_p; | ^~~~~~~~~ In function ‘__pyx_pf_5_loss_21CyHalfMultinomialLoss_44gradient’, inlined from ‘__pyx_fuse_1_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_45gradient’ at sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:91337:13: sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:91424:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 91424 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads) | ^~~ sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_45gradient’: sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:91357:10: note: ‘__pyx_v_p’ was declared here 91357 | float *__pyx_v_p; | ^~~~~~~~~ In function ‘__pyx_pf_5_loss_21CyHalfMultinomialLoss_42gradient’, inlined from ‘__pyx_fuse_1_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_43gradient’ at sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:90847:13: sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:90934:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 90934 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads) | ^~~ sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_43gradient’: sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:90867:10: note: ‘__pyx_v_p’ was declared here 90867 | float *__pyx_v_p; | ^~~~~~~~~ In function ‘__pyx_pf_5_loss_21CyHalfMultinomialLoss_40gradient’, inlined from ‘__pyx_fuse_0_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_41gradient’ at sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:90357:13: sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:90444:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 90444 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads) | ^~~ sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_41gradient’: sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:90377:11: note: ‘__pyx_v_p’ was declared here 90377 | double *__pyx_v_p; | ^~~~~~~~~ In function ‘__pyx_pf_5_loss_21CyHalfMultinomialLoss_38gradient’, inlined from ‘__pyx_fuse_0_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_39gradient’ at sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:89867:13: sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:89954:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 89954 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads) | ^~~ sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_39gradient’: sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:89887:11: note: ‘__pyx_v_p’ was declared here 89887 | double *__pyx_v_p; | ^~~~~~~~~ In function ‘__pyx_pf_5_loss_21CyHalfMultinomialLoss_24loss’, inlined from ‘__pyx_fuse_1_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_25loss’ at sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:86207:13: sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:86290:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 86290 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8) num_threads(__pyx_v_n_threads) | ^~~ sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_25loss’: sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:86228:10: note: ‘__pyx_v_p’ was declared here 86228 | float *__pyx_v_p; | ^~~~~~~~~ In function ‘__pyx_pf_5_loss_21CyHalfMultinomialLoss_22loss’, inlined from ‘__pyx_fuse_1_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_23loss’ at sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:85697:13: sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:85780:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 85780 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8) num_threads(__pyx_v_n_threads) | ^~~ sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_23loss’: sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:85718:10: note: ‘__pyx_v_p’ was declared here 85718 | float *__pyx_v_p; | ^~~~~~~~~ In function ‘__pyx_pf_5_loss_21CyHalfMultinomialLoss_20loss’, inlined from ‘__pyx_fuse_0_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_21loss’ at sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:85187:13: sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:85270:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 85270 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8) num_threads(__pyx_v_n_threads) | ^~~ sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_21loss’: sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:85208:11: note: ‘__pyx_v_p’ was declared here 85208 | double *__pyx_v_p; | ^~~~~~~~~ In function ‘__pyx_pf_5_loss_21CyHalfMultinomialLoss_18loss’, inlined from ‘__pyx_fuse_0_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_19loss’ at sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:84677:13: sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:84760:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 84760 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8) num_threads(__pyx_v_n_threads) | ^~~ sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_19loss’: sklearn/_loss/_loss.cpython-315-powerpc64le-linux-gnu.so.p/_loss.c:84698:11: note: ‘__pyx_v_p’ was declared here 84698 | double *__pyx_v_p; | ^~~~~~~~~ [168/253] Compiling C++ object sklearn/svm/_newrand.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__newrand.cpp.o [169/253] Linking static target sklearn/svm/liblibsvm-skl.a [170/253] Compiling C object sklearn/neighbors/_quad_tree.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__quad_tree.c.o [171/253] Compiling C object sklearn/preprocessing/_csr_polynomial_expansion.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__csr_polynomial_expansion.c.o [172/253] Linking static target sklearn/svm/libliblinear-skl.a [173/253] Compiling C object sklearn/linear_model/_cd_fast.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__cd_fast.c.o [174/253] Compiling C object sklearn/svm/_libsvm_sparse.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__libsvm_sparse.c.o [175/253] Compiling C object sklearn/svm/_liblinear.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__liblinear.c.o [176/253] Compiling C object sklearn/svm/_libsvm.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__libsvm.c.o [177/253] Compiling C object sklearn/tree/_splitter.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__splitter.c.o [178/253] Compiling C object sklearn/tree/_partitioner.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__partitioner.c.o [179/253] Compiling C object sklearn/tree/_utils.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__utils.c.o [180/253] Compiling C object sklearn/neighbors/_ball_tree.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__ball_tree.c.o sklearn/neighbors/_ball_tree.cpython-315-powerpc64le-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__recursive_build’: sklearn/neighbors/_ball_tree.cpython-315-powerpc64le-linux-gnu.so.p/_ball_tree.c:17112:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 17112 | __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-315-powerpc64le-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__query_radius_single’: sklearn/neighbors/_ball_tree.cpython-315-powerpc64le-linux-gnu.so.p/_ball_tree.c:24478:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 24478 | __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-315-powerpc64le-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__kde_single_breadthfirst’: sklearn/neighbors/_ball_tree.cpython-315-powerpc64le-linux-gnu.so.p/_ball_tree.c:25027:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 25027 | __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-315-powerpc64le-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__kde_single_depthfirst’: sklearn/neighbors/_ball_tree.cpython-315-powerpc64le-linux-gnu.so.p/_ball_tree.c:25932:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 25932 | __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-315-powerpc64le-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__two_point_single’: sklearn/neighbors/_ball_tree.cpython-315-powerpc64le-linux-gnu.so.p/_ball_tree.c:26542:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 26542 | __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-315-powerpc64le-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__two_point_dual’: sklearn/neighbors/_ball_tree.cpython-315-powerpc64le-linux-gnu.so.p/_ball_tree.c:26945:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 26945 | __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-315-powerpc64le-linux-gnu.so.p/_ball_tree.c:26955:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 26955 | __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-315-powerpc64le-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__recursive_build’: sklearn/neighbors/_ball_tree.cpython-315-powerpc64le-linux-gnu.so.p/_ball_tree.c:30987:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 30987 | __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-315-powerpc64le-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__query_radius_single’: sklearn/neighbors/_ball_tree.cpython-315-powerpc64le-linux-gnu.so.p/_ball_tree.c:38362:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 38362 | __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-315-powerpc64le-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__kde_single_breadthfirst’: sklearn/neighbors/_ball_tree.cpython-315-powerpc64le-linux-gnu.so.p/_ball_tree.c:38911:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 38911 | __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-315-powerpc64le-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__kde_single_depthfirst’: sklearn/neighbors/_ball_tree.cpython-315-powerpc64le-linux-gnu.so.p/_ball_tree.c:39816:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 39816 | __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-315-powerpc64le-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__two_point_single’: sklearn/neighbors/_ball_tree.cpython-315-powerpc64le-linux-gnu.so.p/_ball_tree.c:40426:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 40426 | __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-315-powerpc64le-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__two_point_dual’: sklearn/neighbors/_ball_tree.cpython-315-powerpc64le-linux-gnu.so.p/_ball_tree.c:40829:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 40829 | __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-315-powerpc64le-linux-gnu.so.p/_ball_tree.c:40839:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 40839 | __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-315-powerpc64le-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_init_node64’: sklearn/neighbors/_ball_tree.cpython-315-powerpc64le-linux-gnu.so.p/_ball_tree.c:42745:20: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 42745 | __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-315-powerpc64le-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_init_node32’: sklearn/neighbors/_ball_tree.cpython-315-powerpc64le-linux-gnu.so.p/_ball_tree.c:44118:20: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 44118 | __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-315-powerpc64le-linux-gnu.so.p/_ball_tree.c:40138:19: sklearn/neighbors/_ball_tree.cpython-315-powerpc64le-linux-gnu.so.p/_ball_tree.c:42455:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized] 42455 | __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])])); | ^ sklearn/neighbors/_ball_tree.cpython-315-powerpc64le-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__kde_single_depthfirst’: sklearn/neighbors/_ball_tree.cpython-315-powerpc64le-linux-gnu.so.p/_ball_tree.c:39716:55: note: ‘__pyx_v_sample_weight’ was declared here 39716 | __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-315-powerpc64le-linux-gnu.so.p/_ball_tree.c:26254:19: sklearn/neighbors/_ball_tree.cpython-315-powerpc64le-linux-gnu.so.p/_ball_tree.c:42514:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized] 42514 | __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])])); | ^ sklearn/neighbors/_ball_tree.cpython-315-powerpc64le-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__kde_single_depthfirst’: sklearn/neighbors/_ball_tree.cpython-315-powerpc64le-linux-gnu.so.p/_ball_tree.c:25832:55: note: ‘__pyx_v_sample_weight’ was declared here 25832 | __pyx_t_7sklearn_5utils_9_typedefs_float64_t const *__pyx_v_sample_weight; | ^~~~~~~~~~~~~~~~~~~~~ [181/253] Linking target sklearn/_cyutility.cpython-315-powerpc64le-linux-gnu.so [182/253] Compiling C++ object sklearn/preprocessing/_target_encoder_fast.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__target_encoder_fast.cpp.o [183/253] Linking target sklearn/__check_build/_check_build.cpython-315-powerpc64le-linux-gnu.so [184/253] Compiling C object sklearn/tree/_criterion.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__criterion.c.o [185/253] Compiling C object sklearn/neighbors/_kd_tree.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__kd_tree.c.o sklearn/neighbors/_kd_tree.cpython-315-powerpc64le-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__recursive_build’: sklearn/neighbors/_kd_tree.cpython-315-powerpc64le-linux-gnu.so.p/_kd_tree.c:17092:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 17092 | __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-315-powerpc64le-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__query_radius_single’: sklearn/neighbors/_kd_tree.cpython-315-powerpc64le-linux-gnu.so.p/_kd_tree.c:24458:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 24458 | __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-315-powerpc64le-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__kde_single_breadthfirst’: sklearn/neighbors/_kd_tree.cpython-315-powerpc64le-linux-gnu.so.p/_kd_tree.c:25007:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 25007 | __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-315-powerpc64le-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__kde_single_depthfirst’: sklearn/neighbors/_kd_tree.cpython-315-powerpc64le-linux-gnu.so.p/_kd_tree.c:25912:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 25912 | __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-315-powerpc64le-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__two_point_single’: sklearn/neighbors/_kd_tree.cpython-315-powerpc64le-linux-gnu.so.p/_kd_tree.c:26522:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 26522 | __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-315-powerpc64le-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__two_point_dual’: sklearn/neighbors/_kd_tree.cpython-315-powerpc64le-linux-gnu.so.p/_kd_tree.c:26925:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 26925 | __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-315-powerpc64le-linux-gnu.so.p/_kd_tree.c:26935:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 26935 | __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-315-powerpc64le-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__recursive_build’: sklearn/neighbors/_kd_tree.cpython-315-powerpc64le-linux-gnu.so.p/_kd_tree.c:30967:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 30967 | __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-315-powerpc64le-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__query_radius_single’: sklearn/neighbors/_kd_tree.cpython-315-powerpc64le-linux-gnu.so.p/_kd_tree.c:38342:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 38342 | __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-315-powerpc64le-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__kde_single_breadthfirst’: sklearn/neighbors/_kd_tree.cpython-315-powerpc64le-linux-gnu.so.p/_kd_tree.c:38891:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 38891 | __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-315-powerpc64le-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__kde_single_depthfirst’: sklearn/neighbors/_kd_tree.cpython-315-powerpc64le-linux-gnu.so.p/_kd_tree.c:39796:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 39796 | __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-315-powerpc64le-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__two_point_single’: sklearn/neighbors/_kd_tree.cpython-315-powerpc64le-linux-gnu.so.p/_kd_tree.c:40406:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 40406 | __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-315-powerpc64le-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__two_point_dual’: sklearn/neighbors/_kd_tree.cpython-315-powerpc64le-linux-gnu.so.p/_kd_tree.c:40809:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 40809 | __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-315-powerpc64le-linux-gnu.so.p/_kd_tree.c:40819:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 40819 | __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-315-powerpc64le-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_init_node64’: sklearn/neighbors/_kd_tree.cpython-315-powerpc64le-linux-gnu.so.p/_kd_tree.c:42700:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 42700 | __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-315-powerpc64le-linux-gnu.so.p/_kd_tree.c:42712:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 42712 | __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-315-powerpc64le-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_init_node32’: sklearn/neighbors/_kd_tree.cpython-315-powerpc64le-linux-gnu.so.p/_kd_tree.c:44527:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 44527 | __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-315-powerpc64le-linux-gnu.so.p/_kd_tree.c:44539:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 44539 | __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-315-powerpc64le-linux-gnu.so.p/_kd_tree.c:40118:19: sklearn/neighbors/_kd_tree.cpython-315-powerpc64le-linux-gnu.so.p/_kd_tree.c:42435:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized] 42435 | __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])])); | ^ sklearn/neighbors/_kd_tree.cpython-315-powerpc64le-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__kde_single_depthfirst’: sklearn/neighbors/_kd_tree.cpython-315-powerpc64le-linux-gnu.so.p/_kd_tree.c:39696:55: note: ‘__pyx_v_sample_weight’ was declared here 39696 | __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-315-powerpc64le-linux-gnu.so.p/_kd_tree.c:26234:19: sklearn/neighbors/_kd_tree.cpython-315-powerpc64le-linux-gnu.so.p/_kd_tree.c:42494:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized] 42494 | __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])])); | ^ sklearn/neighbors/_kd_tree.cpython-315-powerpc64le-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__kde_single_depthfirst’: sklearn/neighbors/_kd_tree.cpython-315-powerpc64le-linux-gnu.so.p/_kd_tree.c:25812:55: note: ‘__pyx_v_sample_weight’ was declared here 25812 | __pyx_t_7sklearn_5utils_9_typedefs_float64_t const *__pyx_v_sample_weight; | ^~~~~~~~~~~~~~~~~~~~~ [186/253] Linking target sklearn/_isotonic.cpython-315-powerpc64le-linux-gnu.so [187/253] Linking target sklearn/utils/_cython_blas.cpython-315-powerpc64le-linux-gnu.so [188/253] Linking target sklearn/utils/murmurhash.cpython-315-powerpc64le-linux-gnu.so [189/253] Linking target sklearn/utils/arrayfuncs.cpython-315-powerpc64le-linux-gnu.so [190/253] Linking target sklearn/utils/_openmp_helpers.cpython-315-powerpc64le-linux-gnu.so [191/253] Linking target sklearn/utils/_fast_dict.cpython-315-powerpc64le-linux-gnu.so [192/253] Linking target sklearn/utils/_heap.cpython-315-powerpc64le-linux-gnu.so [193/253] Linking target sklearn/utils/sparsefuncs_fast.cpython-315-powerpc64le-linux-gnu.so [194/253] Linking target sklearn/utils/_sorting.cpython-315-powerpc64le-linux-gnu.so [195/253] Linking target sklearn/utils/_typedefs.cpython-315-powerpc64le-linux-gnu.so [196/253] Compiling C++ object sklearn/tree/_tree.cpython-315-powerpc64le-linux-gnu.so.p/meson-generated__tree.cpp.o In file included from /usr/include/c++/16/ppc64le-redhat-linux/bits/c++allocator.h:33, from /usr/include/c++/16/bits/allocator.h:46, from /usr/include/c++/16/string:46, from /usr/include/c++/16/bits/locale_classes.h:43, from /usr/include/c++/16/bits/ios_base.h:43, from /usr/include/c++/16/ios:46, from sklearn/tree/_tree.cpython-315-powerpc64le-linux-gnu.so.p/_tree.cpp:1275: 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++/16/bits/alloc_traits.h:714:17, inlined from ‘std::deque >::_M_push_back_aux(long const&)void’ at /usr/include/c++/16/bits/deque.tcc:501:30, inlined from ‘std::deque >::push_back(long const&)’ at /usr/include/c++/16/bits/stl_deque.h:1614:20, inlined from ‘std::stack > >::push(long const&)’ at /usr/include/c++/16/bits/stl_stack.h:287:20, 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-315-powerpc64le-linux-gnu.so.p/_tree.cpp:28089:44: /usr/include/c++/16/bits/new_allocator.h:203:11: warning: ‘__pyx_v_pruned_branch_node_idx’ may be used uninitialized [-Wmaybe-uninitialized] 203 | { ::new((void *)__p) _Up(std::forward<_Args>(__args)...); } | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/tree/_tree.cpython-315-powerpc64le-linux-gnu.so.p/_tree.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-315-powerpc64le-linux-gnu.so.p/_tree.cpp:27125:45: note: ‘__pyx_v_pruned_branch_node_idx’ was declared here 27125 | __pyx_t_7sklearn_5utils_9_typedefs_intp_t 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sklearn/cluster/_hierarchical_fast.cpython-315-powerpc64le-linux-gnu.so [216/253] Linking target sklearn/cluster/_k_means_lloyd.cpython-315-powerpc64le-linux-gnu.so [217/253] Linking target sklearn/cluster/_k_means_elkan.cpython-315-powerpc64le-linux-gnu.so [218/253] Linking target sklearn/cluster/_k_means_minibatch.cpython-315-powerpc64le-linux-gnu.so [219/253] Linking target sklearn/cluster/_hdbscan/_linkage.cpython-315-powerpc64le-linux-gnu.so [220/253] Linking target sklearn/decomposition/_cdnmf_fast.cpython-315-powerpc64le-linux-gnu.so [221/253] Linking target sklearn/cluster/_hdbscan/_tree.cpython-315-powerpc64le-linux-gnu.so [222/253] Linking target sklearn/decomposition/_online_lda_fast.cpython-315-powerpc64le-linux-gnu.so [223/253] Linking target sklearn/cluster/_hdbscan/_reachability.cpython-315-powerpc64le-linux-gnu.so [224/253] Linking target sklearn/ensemble/_hist_gradient_boosting/_gradient_boosting.cpython-315-powerpc64le-linux-gnu.so [225/253] Linking target sklearn/datasets/_svmlight_format_fast.cpython-315-powerpc64le-linux-gnu.so [226/253] Linking target sklearn/ensemble/_hist_gradient_boosting/_binning.cpython-315-powerpc64le-linux-gnu.so [227/253] Linking target sklearn/ensemble/_gradient_boosting.cpython-315-powerpc64le-linux-gnu.so [228/253] Linking target sklearn/ensemble/_hist_gradient_boosting/_bitset.cpython-315-powerpc64le-linux-gnu.so [229/253] Linking target sklearn/ensemble/_hist_gradient_boosting/histogram.cpython-315-powerpc64le-linux-gnu.so [230/253] Linking target sklearn/ensemble/_hist_gradient_boosting/common.cpython-315-powerpc64le-linux-gnu.so [231/253] Linking target sklearn/ensemble/_hist_gradient_boosting/_predictor.cpython-315-powerpc64le-linux-gnu.so [232/253] Linking target sklearn/ensemble/_hist_gradient_boosting/splitting.cpython-315-powerpc64le-linux-gnu.so [233/253] Linking target sklearn/feature_extraction/_hashing_fast.cpython-315-powerpc64le-linux-gnu.so [234/253] Linking target 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/builddir/build/BUILD/python-scikit-learn-1.8.0-build/scikit_learn-1.8.0/sklearn/utils/tests/test_shortest_path.py [946/955] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/scikit_learn-1.8.0/sklearn/utils/tests/test_show_versions.py [947/955] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/scikit_learn-1.8.0/sklearn/utils/tests/test_sparsefuncs.py [948/955] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/scikit_learn-1.8.0/sklearn/utils/tests/test_stats.py [949/955] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/scikit_learn-1.8.0/sklearn/utils/tests/test_tags.py [950/955] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/scikit_learn-1.8.0/sklearn/utils/tests/test_testing.py [951/955] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/scikit_learn-1.8.0/sklearn/utils/tests/test_typedefs.py [952/955] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/scikit_learn-1.8.0/sklearn/utils/tests/test_unique.py [953/955] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/scikit_learn-1.8.0/sklearn/utils/tests/test_user_interface.py [954/955] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/scikit_learn-1.8.0/sklearn/utils/tests/test_validation.py [955/955] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/scikit_learn-1.8.0/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-1.8.0-cp315-cp315-linux_ppc64le.whl size=29261997 sha256=5b8e7f59321c5a0e855928e3d757b8ad3e88d876d727ee5c7281b4dad98af097 Stored in directory: /builddir/.cache/pip/wheels/b0/b4/64/cc26cb1bd440924c680f0b5da24b82b8eec07bf263d18bc483 Successfully built scikit-learn + RPM_EC=0 ++ jobs -p + exit 0 Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.3Hg8Eu + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.8.0-build + '[' /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT '!=' / ']' + rm -rf /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT ++ dirname /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT + mkdir -p /builddir/build/BUILD/python-scikit-learn-1.8.0-build + mkdir /builddir/build/BUILD/python-scikit-learn-1.8.0-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-hardened-ld-errors -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-1.8.0 ++ ls /builddir/build/BUILD/python-scikit-learn-1.8.0-build/pyproject-wheeldir/scikit_learn-1.8.0-cp315-cp315-linux_ppc64le.whl ++ xargs basename --multiple ++ sed -E 's/([^-]+)-([^-]+)-.+\.whl/\1==\2/' + specifier=scikit_learn==1.8.0 + '[' -z scikit_learn==1.8.0 ']' + PIP_CONFIG_FILE=/dev/null + TMPDIR=/builddir/build/BUILD/python-scikit-learn-1.8.0-build/.pyproject-builddir + /usr/bin/python3 -m pip install --root /builddir/build/BUILD/python-scikit-learn-1.8.0-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-1.8.0-build/pyproject-wheeldir scikit_learn==1.8.0 Using pip 26.1.2 from /usr/lib/python3.15/site-packages/pip (python 3.15) Looking in links: /builddir/build/BUILD/python-scikit-learn-1.8.0-build/pyproject-wheeldir Processing /builddir/build/BUILD/python-scikit-learn-1.8.0-build/pyproject-wheeldir/scikit_learn-1.8.0-cp315-cp315-linux_ppc64le.whl Installing collected packages: scikit_learn Successfully installed scikit_learn-1.8.0 + '[' -d /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/bin ']' + rm -f /builddir/build/BUILD/python-scikit-learn-1.8.0-build/python-scikit-learn-1.8.0-2.fc45.ppc64le-pyproject-ghost-distinfo + site_dirs=() + '[' -d /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib/python3.15/site-packages ']' + '[' /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages '!=' /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib/python3.15/site-packages ']' + '[' -d /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages ']' + site_dirs+=("/usr/lib64/python3.15/site-packages") + for site_dir in ${site_dirs[@]} + for distinfo in /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT$site_dir/*.dist-info + echo '%ghost %dir /usr/lib64/python3.15/site-packages/scikit_learn-1.8.0.dist-info' +++ basename /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/scikit_learn-1.8.0.dist-info ++ PYTHONPATH=/usr/lib/rpm/redhat ++ /usr/bin/python3 -sBc 'import sys; from pyproject_save_files import canonical_name_from_distinfo; print(canonical_name_from_distinfo(sys.argv[1]))' scikit_learn-1.8.0.dist-info + _normalized=scikit-learn + echo '%ghost %dir /usr/lib64/python3.15/site-packages/scikit_learn-1.8.0.dist-info' + sed -i s/pip/rpm/ /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/scikit_learn-1.8.0.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-1.8.0-build/BUILDROOT --record /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/scikit_learn-1.8.0.dist-info/RECORD --output /builddir/build/BUILD/python-scikit-learn-1.8.0-build/python-scikit-learn-1.8.0-2.fc45.ppc64le-pyproject-record + rm -fv /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/scikit_learn-1.8.0.dist-info/RECORD removed '/builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/scikit_learn-1.8.0.dist-info/RECORD' + rm -fv /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/scikit_learn-1.8.0.dist-info/REQUESTED removed '/builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/scikit_learn-1.8.0.dist-info/REQUESTED' + '[' -f /builddir/build/BUILD/python-scikit-learn-1.8.0-build/python-scikit-learn-1.8.0-2.fc45.ppc64le-pyproject-dep-overrides ']' ++ wc -l /builddir/build/BUILD/python-scikit-learn-1.8.0-build/python-scikit-learn-1.8.0-2.fc45.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-1.8.0-build/python-scikit-learn-1.8.0-2.fc45.ppc64le-pyproject-files --output-modules /builddir/build/BUILD/python-scikit-learn-1.8.0-build/python-scikit-learn-1.8.0-2.fc45.ppc64le-pyproject-modules --buildroot /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT --sitelib /usr/lib/python3.15/site-packages --sitearch /usr/lib64/python3.15/site-packages --python-version 3.15 --pyproject-record /builddir/build/BUILD/python-scikit-learn-1.8.0-build/python-scikit-learn-1.8.0-2.fc45.ppc64le-pyproject-record --prefix /usr sklearn + /usr/bin/find-debuginfo -j5 --strict-build-id -m -i --build-id-seed 1.8.0-2.fc45 --unique-debug-suffix -1.8.0-2.fc45.ppc64le --unique-debug-src-base python-scikit-learn-1.8.0-2.fc45.ppc64le --run-dwz --dwz-low-mem-die-limit 10000000 --dwz-max-die-limit 50000000 --remove-section .gnu.build.attributes -S debugsourcefiles.list /builddir/build/BUILD/python-scikit-learn-1.8.0-build/scikit_learn-1.8.0 find-debuginfo: starting Extracting debug info from 69 files DWARF-compressing 69 files sepdebugcrcfix: Updated 69 CRC32s, 0 CRC32s did match. 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directory find-debuginfo: done + /usr/lib/rpm/check-buildroot + /usr/lib/rpm/redhat/brp-ldconfig + COMPRESS='gzip -9 -n' + COMPRESS_EXT=.gz + /usr/lib/rpm/brp-compress + /usr/lib/rpm/redhat/brp-strip-lto /usr/bin/strip + /usr/lib/rpm/check-rpaths + /usr/lib/rpm/redhat/brp-mangle-shebangs mangling shebang in /usr/lib64/python3.15/site-packages/sklearn/_build_utils/version.py from /usr/bin/env python3 to #!/usr/bin/python3 + /usr/lib/rpm/brp-remove-la-files + /usr/lib/rpm/redhat/brp-python-rpm-in-distinfo + env /usr/lib/rpm/redhat/brp-python-bytecompile '' 1 0 -j5 Bytecompiling .py files below /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib/debug/usr/lib64/python3.15 using python3.15 Bytecompiling .py files below /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15 using python3.15 + /usr/lib/rpm/redhat/brp-python-hardlink + /usr/bin/add-det --brp -j5 /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT 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/builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/_loss/tests/__pycache__/test_loss.cpython-315.pyc: replacing with normalized version Scanned 270 directories and 2296 files, processed 968 inodes, 886 modified (520 replaced + 366 rewritten), 0 unsupported format, 0 errors + /usr/bin/linkdupes --brp /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr Scanned 269 directories and 2296 files, considered 2296 files, read 205 files, linked 66 files, 0 errors sum of sizes of linked files: 938 bytes Reading /builddir/build/BUILD/python-scikit-learn-1.8.0-build/SPECPARTS/rpm-debuginfo.specpart Executing(%check): /bin/sh -e /var/tmp/rpm-tmp.hboyaD + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.8.0-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 ~/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages ~/build/BUILD/python-scikit-learn-1.8.0-build/scikit_learn-1.8.0 + 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-hardened-ld-errors -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-1.8.0 + export PYTHONDONTWRITEBYTECODE=1 + PYTHONDONTWRITEBYTECODE=1 + export 'PYTEST_ADDOPTS=-p no:cacheprovider' + PYTEST_ADDOPTS='-p no:cacheprovider' + pushd /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages + pytest --deselect 'sklearn/neighbors/tests/test_kd_tree.py::test_kdtree_picklable_with_joblib[KDTree64]' --deselect 'sklearn/neighbors/tests/test_kd_tree.py::test_kdtree_picklable_with_joblib[KDTree32]' --deselect 'sklearn/neighbors/tests/test_neighbors.py::test_knn_forcing_backend[ball_tree-loky]' --deselect 'sklearn/neighbors/tests/test_neighbors.py::test_knn_forcing_backend[kd_tree-loky]' --deselect 'sklearn/neighbors/tests/test_neighbors.py::test_knn_forcing_backend[auto-loky]' sklearn ============================= test session starts ============================== platform linux -- Python 3.15.0rc2, pytest-9.1.1, pluggy-1.6.0 rootdir: /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages collected 41972 items / 5 deselected / 1 skipped / 41967 selected sklearn/_loss/tests/test_link.py ....................... 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[100%] =============================== warnings summary =============================== ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/cross_decomposition/tests/test_pls.py::test_scale_and_stability, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/datasets/tests/test_common.py::test_common_check_return_X_y, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/datasets/tests/test_common.py::test_common_check_as_frame, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/datasets/tests/test_common.py::test_common_check_pandas_dependency, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/decomposition/tests/test_pca.py::test_pca_array_api_compliance, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/decomposition/tests/test_pca.py::test_pca_mle_array_api_compliance, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/ensemble/tests/test_bagging.py::test_sparse_classification, argvalues type: product Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/ensemble/tests/test_forest.py::test_importances, argvalues type: chain Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/ensemble/tests/test_weight_boosting.py::test_sparse_classification, argvalues type: zip Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/ensemble/tests/test_weight_boosting.py::test_sparse_regression, argvalues type: zip Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/feature_extraction/tests/test_text.py::test_tfidf_transformer_sparse, argvalues type: product Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) sklearn/datasets/_base.py:1007: 6 warnings sklearn/datasets/tests/test_base.py: 3 warnings sklearn/datasets/tests/test_common.py: 4 warnings sklearn/decomposition/tests/test_pca.py: 7 warnings sklearn/ensemble/tests/test_weight_boosting.py: 1 warning sklearn/manifold/tests/test_isomap.py: 1 warning sklearn/manifold/tests/test_mds.py: 1 warning sklearn/model_selection/tests/test_validation.py: 1 warning sklearn/svm/tests/test_sparse.py: 2 warnings sklearn/tests/test_naive_bayes.py: 1 warning /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/datasets/_base.py:1007: DeprecationWarning: Setting the shape on a NumPy array has been deprecated in NumPy 2.5. As an alternative, you can create a new view using np.reshape (with copy=False if needed). images.shape = (-1, 8, 8) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/linear_model/tests/test_ridge.py::test_solver_consistency, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/linear_model/tests/test_ridge.py::test_ridge_array_api_compliance, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/linear_model/tests/test_ridge.py::test_ridge_classifier_multilabel_array_api, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/linear_model/tests/test_ridge.py::test_array_api_error_and_warnings_for_solver_parameter, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/metrics/cluster/tests/test_common.py::test_permute_labels, argvalues type: chain Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/metrics/cluster/tests/test_common.py::test_format_invariance, argvalues type: chain Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/metrics/cluster/tests/test_common.py::test_returned_value_consistency, argvalues type: chain Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/metrics/cluster/tests/test_common.py::test_array_api_compliance, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/metrics/cluster/tests/test_supervised.py::test_entropy_array_api, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/metrics/tests/test_classification.py::test_confusion_matrix_array_api, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/metrics/tests/test_classification.py::test_probabilistic_metrics_array_api, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/metrics/tests/test_classification.py::test_probabilistic_metrics_multilabel_array_api, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/metrics/tests/test_common.py::test_continuous_inf_nan_input, argvalues type: chain Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/metrics/tests/test_common.py::test_array_api_compliance, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_array_api, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/metrics/tests/test_pairwise.py::test_pairwise_parallel_array_api, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/metrics/tests/test_pairwise.py::test_pairwise_kernels_array_api, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/mixture/tests/test_gaussian_mixture.py::test_gaussian_mixture_array_api_compliance, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/mixture/tests/test_gaussian_mixture.py::test_gaussian_mixture_raises_where_array_api_not_implemented, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/model_selection/tests/test_search.py::test_array_api_search_cv_classifier, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/model_selection/tests/test_split.py::test_array_api_train_test_split, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_array_api_compliance, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/neighbors/tests/test_ball_tree.py::test_ball_tree_query_metrics, argvalues type: chain Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/neighbors/tests/test_ball_tree.py::test_query_haversine, argvalues type: zip Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/neighbors/tests/test_ball_tree.py::test_ball_tree_numerical_consistency, argvalues type: chain Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/neighbors/tests/test_ball_tree.py::test_kernel_density_numerical_consistency, argvalues type: chain Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/neighbors/tests/test_lof.py::test_novelty_true_common_tests, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query, argvalues type: chain Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/preprocessing/tests/test_data.py::test_standard_scaler_sample_weight, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/preprocessing/tests/test_data.py::test_standard_scaler_sample_weight_array_api, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/preprocessing/tests/test_data.py::test_preprocessing_array_api_compliance, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/preprocessing/tests/test_data.py::test_standard_scaler_array_api_compliance, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/preprocessing/tests/test_data.py::test_binarizer_array_api_int, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/preprocessing/tests/test_label.py::test_label_binarizer_array_api_compliance, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/preprocessing/tests/test_label.py::test_label_binarize_array_api_compliance, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/preprocessing/tests/test_label.py::test_label_encoder_array_api_compliance, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/preprocessing/tests/test_polynomial.py::test_polynomial_features_array_api_compliance, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/preprocessing/tests/test_polynomial.py::test_polynomial_features_array_api_raises_on_order_F, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/svm/tests/test_sparse.py::test_linearsvc, argvalues type: zip Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/tests/test_calibration.py::test_temperature_scaling_array_api_compliance, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/tests/test_calibration.py::test_temperature_scaling_array_api_with_str_y_estimator_not_prefit, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) sklearn/utils/_test_common/instance_generator.py:804 sklearn/utils/_test_common/instance_generator.py:804 sklearn/utils/_test_common/instance_generator.py:804 sklearn/utils/_test_common/instance_generator.py:804 sklearn/utils/_test_common/instance_generator.py:804 sklearn/utils/_test_common/instance_generator.py:804 sklearn/utils/_test_common/instance_generator.py:804 /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/_test_common/instance_generator.py:804: SkipTestWarning: Can't instantiate estimator FrozenEstimator warnings.warn(msg, SkipTestWarning) sklearn/utils/deprecation.py:71: 6 warnings sklearn/linear_model/tests/test_common.py: 2 warnings sklearn/linear_model/tests/test_passive_aggressive.py: 2 warnings sklearn/tests/test_common.py: 1 warning /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/deprecation.py:71: FutureWarning: Class PassiveAggressiveClassifier is deprecated; this is deprecated in version 1.8 and will be removed in 1.10. Use `SGDClassifier(loss='hinge', penalty=None, learning_rate='pa1', eta0=1.0)` instead. warnings.warn(msg, category=FutureWarning) sklearn/utils/deprecation.py:71: 6 warnings sklearn/linear_model/tests/test_common.py: 2 warnings sklearn/linear_model/tests/test_passive_aggressive.py: 2 warnings sklearn/tests/test_common.py: 1 warning /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/deprecation.py:71: FutureWarning: Class PassiveAggressiveRegressor is deprecated; this is deprecated in version 1.8 and will be removed in 1.10. Use `SGDRegressor(loss='epsilon_insensitive', penalty=None, learning_rate='pa1', eta0 = 1.0)` instead. warnings.warn(msg, category=FutureWarning) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/tests/test_common.py::test_estimators, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) sklearn/utils/estimator_checks.py:365 /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/estimator_checks.py:365: SkipTestWarning: Explicit SKIP via _skip_test tag for estimator ClassifierChain. warnings.warn( sklearn/utils/estimator_checks.py:357 /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/estimator_checks.py:357: 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:357 /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/estimator_checks.py:357: 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:357 /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/estimator_checks.py:357: 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:357 /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/estimator_checks.py:357: 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:357 /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/estimator_checks.py:357: 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:357 /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/estimator_checks.py:357: 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:357 /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/estimator_checks.py:357: 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:357 /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/estimator_checks.py:357: 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:365 /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/estimator_checks.py:365: SkipTestWarning: Explicit SKIP via _skip_test tag for estimator MultiOutputClassifier. warnings.warn( sklearn/utils/estimator_checks.py:357 /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/estimator_checks.py:357: 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:357 /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/estimator_checks.py:357: 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( ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/tests/test_common.py::test_check_inplace_ensure_writeable, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/tests/test_naive_bayes.py::test_gnb_array_api_compliance, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/tests/test_pipeline.py::test_verbose, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/tree/tests/test_tree.py::test_explicit_sparse_zeros, argvalues type: zip Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/tree/tests/test_tree.py::test_splitter_serializable, argvalues type: chain Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/tree/tests/test_tree.py::test_missing_value_is_predictive, argvalues type: zip Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_array_api.py::test_average, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_array_api.py::test_average_raises_with_wrong_dtype, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_array_api.py::test_average_raises_with_invalid_parameters, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_array_api.py::test_ravel, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_array_api.py::test_indexing_dtype, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_array_api.py::test_max_precision_float_dtype, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_array_api.py::test_isin, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_array_api.py::test_count_nonzero, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_array_api.py::test_fill_diagonal, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_array_api.py::test_add_to_diagonal, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_array_api.py::test_median, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_array_api.py::test_logsumexp_like_scipy_logsumexp, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_array_api.py::test_half_multinomial_loss, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_extmath.py::test_incremental_weighted_mean_and_variance_array_api, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_extmath.py::test_randomized_svd_array_api_compliance, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_extmath.py::test_randomized_range_finder_array_api_compliance, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_indexing.py::test_determine_key_type_array_api, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_indexing.py::test_safe_indexing_array_api_support, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_multiclass.py::test_is_multilabel_array_api_compliance, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_parallel.py::test_filter_warning_propagates, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_seq_dataset.py::test_seq_dataset_shuffle, argvalues type: product Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_stats.py::test_weighted_percentile_array_api_consistency, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) sklearn/utils/_typedefs.pyx:21 /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/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): ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_validation.py::test_check_consistent_length_array_api, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_validation.py::test_check_sample_weight_array_api, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_validation.py::test_check_pos_label_consistency_array_api, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_validation.py::test_check_pos_label_consistency_invalid_array_api, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) sklearn/cluster/tests/test_affinity_propagation.py::test_affinity_propagation_equal_points /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/cluster/_affinity_propagation.py:50: UserWarning: All samples have mutually equal similarities. Returning arbitrary cluster center(s). warnings.warn( sklearn/cluster/tests/test_bicluster.py::test_n_features_in_[est0] sklearn/preprocessing/tests/test_discretization.py::test_redundant_bins[kmeans-expected_bin_edges1-warn] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/base.py:1336: ConvergenceWarning: Number of distinct clusters (2) found smaller than n_clusters (3). Possibly due to duplicate points in X. return fit_method(estimator, *args, **kwargs) sklearn/cluster/tests/test_birch.py::test_birch_predict[float64-42] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/cluster/_birch.py:711: ConvergenceWarning: Number of subclusters found (3) by BIRCH is less than (4). Decrease the threshold. warnings.warn( sklearn/cluster/tests/test_dbscan.py: 10 warnings sklearn/cluster/tests/test_optics.py: 2 warnings sklearn/manifold/tests/test_isomap.py: 1 warning sklearn/neighbors/tests/test_neighbors.py: 122 warnings sklearn/utils/tests/test_estimator_checks.py: 21 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/neighbors/_base.py:241: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/cluster/_hdbscan/hdbscan.py:270: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/cluster/_agglomerative.py:594: UserWarning: the number of connected components of the connectivity matrix is 2 > 1. Completing it to avoid stopping the tree early. connectivity, n_connected_components = _fix_connectivity( sklearn/cluster/tests/test_spectral.py::test_precomputed_nearest_neighbors_filtering[42] sklearn/cluster/tests/test_spectral.py::test_precomputed_nearest_neighbors_filtering[42] 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/manifold/_spectral_embedding.py:324: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/cluster/tests/test_spectral.py:315: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. X = np.matrix([[0.0, 2.0], [2.0, 0.0]]) sklearn/covariance/tests/test_graphical_lasso.py: 20 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/covariance/_empirical_covariance.py:100: 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[42] /usr/lib64/python3.15/site-packages/numpy/_core/_methods.py:188: RuntimeWarning: invalid value encountered in subtract x = um.subtract(arr, arrmean, out=...) sklearn/covariance/tests/test_robust_covariance.py::test_mcd[42] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/covariance/_robust_covariance.py:188: RuntimeWarning: Determinant has increased; this should not happen: log(det) > log(previous_det) (-55.919119282067527 > -56.525833956855102). You may want to try with a higher value of support_fraction (current value: 1.000). warnings.warn( sklearn/covariance/tests/test_robust_covariance.py::test_mcd[42] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/covariance/_robust_covariance.py:188: RuntimeWarning: Determinant has increased; this should not happen: log(det) > log(previous_det) (-55.919119282067527 > -56.500675397218785). You may want to try with a higher value of support_fraction (current value: 1.000). warnings.warn( sklearn/covariance/tests/test_robust_covariance.py::test_mcd[42] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/covariance/_robust_covariance.py:188: RuntimeWarning: Determinant has increased; this should not happen: log(det) > log(previous_det) (-55.919119282067527 > -56.532223754953954). You may want to try with a higher value of support_fraction (current value: 1.000). warnings.warn( sklearn/covariance/tests/test_robust_covariance.py::test_mcd_issue3367[42] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/covariance/_robust_covariance.py:793: UserWarning: The covariance matrix associated to your dataset is not full rank warnings.warn( sklearn/datasets/tests/test_base.py::test_load_sample_images /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/datasets/tests/test_base.py:242: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/datasets/tests/test_base.py:251: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/datasets/_openml.py:1035: 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/python3.15/site-packages/scipy/sparse/_data.py:73: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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_dict_learning.py::test_dict_learning_online_shapes /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.393e-05, tolerance: 1.246e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py: 32 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.384e-07, tolerance: 3.217e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_sparse_encode_dtype_match[float32-lasso_cd] sklearn/decomposition/tests/test_dict_learning.py::test_sparse_encode_numerical_consistency[lasso_cd] sklearn/decomposition/tests/test_dict_learning.py::test_sparse_coder_dtype_match[float32-lasso_cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.172e-07, tolerance: 1.198e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_sparse_encode_dtype_match[float32-lasso_cd] sklearn/decomposition/tests/test_dict_learning.py::test_sparse_encode_numerical_consistency[lasso_cd] sklearn/decomposition/tests/test_dict_learning.py::test_sparse_coder_dtype_match[float32-lasso_cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.364e-07, tolerance: 8.058e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-threshold-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-omp-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_dtype_match[float32-float32-cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.073e-06, tolerance: 1.462e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-threshold-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-omp-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_dtype_match[float32-float32-cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.192e-07, tolerance: 5.441e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-threshold-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-omp-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_dtype_match[float32-float32-cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.980e-07, tolerance: 4.853e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py: 12 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.576e-07, tolerance: 4.439e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py: 33 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.192e-07, tolerance: 4.647e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py: 14 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768e-07, tolerance: 8.058e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py: 13 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.192e-07, tolerance: 4.853e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-threshold-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-omp-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_numerical_consistency[cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.384e-07, tolerance: 4.647e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-threshold-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-omp-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_numerical_consistency[cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.537e-07, tolerance: 1.198e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-threshold-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-omp-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.384e-07, tolerance: 8.058e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py: 29 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768e-07, tolerance: 1.246e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py: 12 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.192e-07, tolerance: 3.217e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py: 35 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.384e-07, tolerance: 1.134e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py: 13 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.153e-07, tolerance: 1.198e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-threshold-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-omp-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.384e-07, tolerance: 1.246e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-threshold-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-omp-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.537e-07, tolerance: 1.462e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py: 12 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.192e-07, tolerance: 8.058e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-threshold-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-omp-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_numerical_consistency[cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768e-07, tolerance: 1.462e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-threshold-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-omp-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.431e-06, tolerance: 1.246e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py: 11 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.384e-07, tolerance: 5.441e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py: 19 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.537e-07, tolerance: 1.246e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-threshold-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-omp-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.192e-06, tolerance: 1.462e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-threshold-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-omp-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.384e-07, tolerance: 1.198e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-lars] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.384e-07, tolerance: 4.853e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[int32-float64-lasso_cd-lars] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[int32-float64-lasso_cd-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[int64-float64-lasso_cd-lars] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[int64-float64-lasso_cd-cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.902e-05, tolerance: 6.000e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[int32-float64-lasso_cd-lars] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[int32-float64-lasso_cd-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[int64-float64-lasso_cd-lars] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[int64-float64-lasso_cd-cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.802e-04, tolerance: 5.000e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-threshold-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-omp-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.364e-07, tolerance: 1.462e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-threshold-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-omp-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.384e-07, tolerance: 4.439e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-threshold-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-omp-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.364e-07, tolerance: 5.441e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-threshold-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-omp-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.172e-07, tolerance: 1.134e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-threshold-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-omp-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.364e-07, tolerance: 1.198e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-threshold-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-omp-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768e-07, tolerance: 1.134e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-lars] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768e-07, tolerance: 1.198e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_numerical_consistency[cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.384e-07, tolerance: 1.462e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.073e-06, tolerance: 1.246e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.576e-07, tolerance: 4.647e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.153e-07, tolerance: 1.462e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.153e-07, tolerance: 8.058e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.153e-07, tolerance: 1.134e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768e-07, tolerance: 4.439e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.153e-07, tolerance: 1.246e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.537e-07, tolerance: 1.134e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768e-07, tolerance: 5.441e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.576e-07, tolerance: 4.853e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.192e-06, tolerance: 1.134e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.431e-06, tolerance: 1.462e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768e-07, tolerance: 4.647e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.192e-06, tolerance: 1.246e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.192e-06, tolerance: 1.198e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.431e-06, tolerance: 1.198e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.537e-07, tolerance: 8.058e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_kernel_pca.py: 28 warnings sklearn/linear_model/tests/test_passive_aggressive.py: 2 warnings sklearn/tests/test_calibration.py: 5 warnings sklearn/tests/test_multioutput.py: 39 warnings sklearn/utils/tests/test_estimator_checks.py: 1 warning /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_stochastic_gradient.py:733: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/decomposition/_nmf.py:1720: ConvergenceWarning: Maximum number of iterations 200 reached. Increase it to improve convergence. warnings.warn( sklearn/decomposition/tests/test_nmf.py: 13 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/decomposition/_nmf.py:2306: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/decomposition/_nmf.py:1720: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/decomposition/_nmf.py:1573: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/decomposition/_nmf.py:1720: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/decomposition/_nmf.py:170: 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_matrix] sklearn/decomposition/tests/test_online_lda.py::test_lda_empty_docs[csr_array] sklearn/decomposition/tests/test_online_lda.py::test_lda_empty_docs[csr_array] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/decomposition/_lda.py:921: RuntimeWarning: invalid value encountered in scalar divide perword_bound = bound / word_cnt sklearn/decomposition/tests/test_pca.py::test_pca_zero_noise_variance_edge_cases[full] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/decomposition/_base.py:82: LinAlgWarning: An ill-conditioned matrix detected: slice 0 has rcond = 4.024854984392589e-20. return linalg_inv(self.get_covariance()) sklearn/decomposition/tests/test_pca.py::test_pca_zero_noise_variance_edge_cases[randomized] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/decomposition/_base.py:82: LinAlgWarning: An ill-conditioned matrix detected: slice 0 has rcond = 5.153562754437237e-21. return linalg_inv(self.get_covariance()) sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.384e-06, tolerance: 2.711e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.384e-07, tolerance: 1.228e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768e-07, tolerance: 1.175e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768e-07, tolerance: 9.191e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768e-07, tolerance: 2.711e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.431e-06, tolerance: 2.111e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py: 14 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768e-07, tolerance: 1.138e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.537e-07, tolerance: 1.175e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768e-07, tolerance: 1.060e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768e-07, tolerance: 1.228e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768e-07, tolerance: 2.111e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.384e-07, tolerance: 1.060e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.338e-06, tolerance: 2.711e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.537e-07, tolerance: 2.111e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.153e-07, tolerance: 1.060e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py: 10 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768e-07, tolerance: 1.184e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.861e-06, tolerance: 2.711e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.537e-07, tolerance: 2.711e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.153e-07, tolerance: 1.228e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py: 10 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.384e-07, tolerance: 9.191e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.153e-07, tolerance: 1.138e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.431e-06, tolerance: 2.711e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.153e-07, tolerance: 2.111e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.384e-07, tolerance: 1.138e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.537e-07, tolerance: 1.228e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.537e-07, tolerance: 1.184e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.907e-06, tolerance: 2.111e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.669e-06, tolerance: 2.111e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.431e-06, tolerance: 1.138e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.576e-06, tolerance: 2.711e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.537e-07, tolerance: 1.138e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/ensemble/tests/test_bagging.py: 33 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/ensemble/_bagging.py:1179: RuntimeWarning: divide by zero encountered in log log_proba = np.log(self.predict_proba(X, **params)) 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/ensemble/_bagging.py:981: RuntimeWarning: invalid value encountered in divide oob_decision_function = predictions / predictions.sum(axis=1)[:, np.newaxis] sklearn/ensemble/tests/test_bagging.py::test_draw_indices_using_sample_weight[0.8-False-False-BaggingRegressor] sklearn/ensemble/tests/test_bagging.py::test_draw_indices_using_sample_weight[0.8-False-False-BaggingClassifier] sklearn/ensemble/tests/test_bagging.py::test_draw_indices_using_sample_weight[0.8-False-True-BaggingRegressor] sklearn/ensemble/tests/test_bagging.py::test_draw_indices_using_sample_weight[0.8-False-True-BaggingClassifier] sklearn/ensemble/tests/test_bagging.py::test_draw_indices_using_sample_weight[0.8-True-False-BaggingRegressor] sklearn/ensemble/tests/test_bagging.py::test_draw_indices_using_sample_weight[0.8-True-False-BaggingClassifier] sklearn/ensemble/tests/test_bagging.py::test_draw_indices_using_sample_weight[0.8-True-True-BaggingRegressor] sklearn/ensemble/tests/test_bagging.py::test_draw_indices_using_sample_weight[0.8-True-True-BaggingClassifier] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/ensemble/_bagging.py:98: UserWarning: Using the fractional value max_samples=0.8 when the total sum of sample weights is 3.0 results in a low number (2) of bootstrap samples. We recommend passing `max_samples` as an integer instead. warn( sklearn/ensemble/tests/test_bagging.py::test_get_n_samples_bootstrap /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/ensemble/_bagging.py:98: UserWarning: Using the fractional value max_samples=1e-05 when the number of samples is 10 results in a low number (1) of bootstrap samples. We recommend passing `max_samples` as an integer instead. warn( sklearn/ensemble/tests/test_bagging.py::test_oob_score_removed_on_warm_start /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/ensemble/_bagging.py:975: UserWarning: Some inputs do not have OOB scores. This probably means too few estimators were used to compute any reliable oob estimates. warn( sklearn/ensemble/tests/test_bagging.py: 6 warnings sklearn/tree/tests/test_tree.py: 73 warnings sklearn/utils/tests/test_response.py: 1 warning /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/tree/_classes.py:1092: RuntimeWarning: divide by zero encountered in log return np.log(proba) sklearn/ensemble/tests/test_bagging.py::test_bagging_classifier_with_missing_inputs sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None] sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None] sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_matrix] sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_array] /usr/lib64/python3.15/site-packages/numpy/_core/fromnumeric.py:83: RuntimeWarning: invalid value encountered in reduce return ufunc.reduce(obj, axis, dtype, out, **passkwargs) sklearn/ensemble/tests/test_common.py: 8 warnings sklearn/model_selection/tests/test_validation.py: 63 warnings sklearn/tests/test_multioutput.py: 1 warning sklearn/tests/test_pipeline.py: 6 warnings sklearn/utils/_repr_html/tests/test_estimator.py: 1 warning sklearn/utils/tests/test_estimator_checks.py: 2 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_logistic.py:406: ConvergenceWarning: lbfgs failed to converge after 100 iteration(s) (status=1): STOP: TOTAL NO. OF ITERATIONS REACHED LIMIT Increase the number of iterations to improve the convergence (max_iter=100). You might also want to 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/ensemble/_forest.py:860: 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] sklearn/ensemble/tests/test_forest.py::test_oob_not_computed_twice[ExtraTreesRegressor] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/ensemble/_forest.py:611: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/base.py:1336: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/neural_network/_multilayer_perceptron.py:785: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/ensemble/_weight_boosting.py:566: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/ensemble/_weight_boosting.py:565: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/model_selection/_split.py:813: 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_callable_analyzer_error[filename-FileNotFoundError--CountVectorizer] sklearn/feature_extraction/tests/test_text.py::test_callable_analyzer_error[filename-FileNotFoundError--TfidfVectorizer] sklearn/feature_extraction/tests/test_text.py::test_callable_analyzer_error[filename-FileNotFoundError--HashingVectorizer] sklearn/utils/tests/test_testing.py::test_turn_warnings_into_errors[warning_info0] sklearn/utils/tests/test_testing.py::test_turn_warnings_into_errors[warning_info1] sklearn/utils/tests/test_testing.py::test_turn_warnings_into_errors[warning_info2] /usr/lib/python3.15/site-packages/_pytest/raises.py:613: PytestWarning: matching against an empty string will *always* pass. If you want to check for an empty message you need to pass '^$'. If you don't want to match you should pass `None` or leave out the parameter. super().__init__(match=match, check=check) 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/feature_extraction/text.py:556: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/feature_selection/_univariate_selection.py:110: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/feature_selection/_univariate_selection.py:111: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/feature_selection/_base.py:122: UserWarning: No features were selected: either the data is too noisy or the selection test too strict. warnings.warn( sklearn/feature_selection/tests/test_rfe.py: 49 warnings sklearn/model_selection/tests/test_search.py: 30 warnings sklearn/svm/tests/test_svm.py: 16 warnings sklearn/tests/test_calibration.py: 16 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/svm/_base.py:1258: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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: 11 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/gaussian_process/kernels.py:450: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/gaussian_process/kernels.py:440: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/gaussian_process/kernels.py:450: 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: 25 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/gaussian_process/kernels.py:440: 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: 14 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/gaussian_process/kernels.py:440: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__k2__length_scale is close to the specified lower bound 0.001. Decreasing the bound and calling fit again may find a better value. warnings.warn( sklearn/gaussian_process/tests/test_gpr.py::test_anisotropic_kernel /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/gaussian_process/_gpr.py:670: ConvergenceWarning: lbfgs failed to converge after 13 iteration(s) (status=2): ABNORMAL: You might also want to scale the data as shown in: https://scikit-learn.org/stable/modules/preprocessing.html _check_optimize_result("lbfgs", opt_res) sklearn/gaussian_process/tests/test_gpr.py::test_random_starts /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/gaussian_process/kernels.py:440: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/gaussian_process/kernels.py:440: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/gaussian_process/kernels.py:440: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/gaussian_process/kernels.py:450: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/gaussian_process/kernels.py:450: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/gaussian_process/kernels.py:440: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/gaussian_process/kernels.py:450: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/gaussian_process/kernels.py:355: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/gaussian_process/kernels.py:450: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/gaussian_process/_gpr.py:490: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/impute/_base.py:641: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/impute/_base.py:641: UserWarning: Skipping features without any observed values: [0]. At least one non-missing value is needed for imputation with strategy='mean'. warnings.warn( sklearn/impute/tests/test_impute.py: 11 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/impute/_base.py:641: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/impute/_base.py:641: 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: 10 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/impute/_base.py:641: UserWarning: Skipping features without any observed values: [3]. At least one non-missing value is needed for imputation with strategy='constant'. warnings.warn( sklearn/impute/tests/test_impute.py: 32 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/impute/_iterative.py:867: ConvergenceWarning: [IterativeImputer] Early stopping criterion not reached. warnings.warn( sklearn/impute/tests/test_impute.py::test_iterative_imputer_all_missing sklearn/impute/tests/test_impute.py::test_iterative_imputer_all_missing /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/impute/_base.py:641: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/impute/_base.py:641: 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_impute.py::test_iterative_imputer_with_empty_features[X_test0-constant] sklearn/impute/tests/test_impute.py::test_iterative_imputer_with_empty_features[X_test0-constant] sklearn/impute/tests/test_impute.py::test_iterative_imputer_with_empty_features[X_test1-constant] sklearn/impute/tests/test_impute.py::test_iterative_imputer_with_empty_features[X_test1-constant] sklearn/impute/tests/test_impute.py::test_iterative_imputer_with_empty_features[X_test2-constant] sklearn/impute/tests/test_impute.py::test_iterative_imputer_with_empty_features[X_test2-constant] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/impute/_base.py:641: UserWarning: Skipping features without any observed values: [0]. At least one non-missing value is needed for imputation with strategy='constant'. 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_stochastic_gradient.py:1612: 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::test_balance_property[42-True-LogisticRegression] sklearn/linear_model/tests/test_logistic.py::test_lr_penalty_l1ratio_incompatible[l1-0.0] sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-sag-wide-None-False] sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-sag-wide-csr_matrix-False] sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-sag-wide-csr_array-False] sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-saga-wide-None-False] sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-saga-wide-csr_matrix-False] sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-saga-wide-csr_array-False] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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_coordinate_descent.py::test_linear_model_cv_alphas[ElasticNetCV] sklearn/linear_model/tests/test_coordinate_descent.py::test_linear_model_cv_alphas[ElasticNetCV] sklearn/linear_model/tests/test_coordinate_descent.py::test_linear_model_cv_alphas[LassoCV] sklearn/linear_model/tests/test_coordinate_descent.py::test_linear_model_cv_alphas[LassoCV] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/base.py:1336: UserWarning: With alpha=0, this algorithm does not converge well. You are advised to use the LinearRegression estimator return fit_method(estimator, *args, **kwargs) sklearn/linear_model/tests/test_coordinate_descent.py: 20 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: UserWarning: Coordinate descent with l1_reg=0 may lead to unexpected results and is discouraged. model = cd_fast.enet_coordinate_descent_multi_task( sklearn/linear_model/tests/test_coordinate_descent.py::test_linear_model_cv_alphas[MultiTaskLassoCV] sklearn/linear_model/tests/test_coordinate_descent.py::test_linear_model_cv_alphas[MultiTaskLassoCV] sklearn/linear_model/tests/test_coordinate_descent.py::test_linear_model_cv_alphas[MultiTaskElasticNetCV] sklearn/linear_model/tests/test_coordinate_descent.py::test_linear_model_cv_alphas[MultiTaskElasticNetCV] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:2756: UserWarning: Coordinate descent with l1_reg=0 may lead to unexpected results and is discouraged. ) = cd_fast.enet_coordinate_descent_multi_task( sklearn/linear_model/tests/test_huber.py::test_huber_max_iter /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_huber.py:348: ConvergenceWarning: lbfgs failed to converge after 1 iteration(s) (status=1): STOP: TOTAL NO. OF ITERATIONS REACHED LIMIT Increase the number of iterations to improve the convergence (max_iter=1). You might also want to 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_logistic.py: 22 warnings sklearn/tests/test_calibration.py: 6 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_logistic.py:1170: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters warnings.warn( sklearn/linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[42-l1-1-0.001] sklearn/linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[42-l1-1-0.1] sklearn/linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[42-l1-1-1] sklearn/linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[42-l1-1-10] sklearn/linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[42-l1-1-100] sklearn/linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[42-l1-1-1000] sklearn/linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[42-l1-1-1000000.0] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_logistic.py:1160: UserWarning: Inconsistent values: penalty=l1 with l1_ratio=0.0. penalty is deprecated. Please use l1_ratio only. warnings.warn( sklearn/linear_model/tests/test_logistic.py::test_l1_ratio_non_elasticnet /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_logistic.py:1160: UserWarning: Inconsistent values: penalty=l1 with l1_ratio=0.5. penalty is deprecated. Please use l1_ratio only. warnings.warn( 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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_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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_huber.py:348: ConvergenceWarning: lbfgs failed to converge after 100 iteration(s) (status=1): STOP: TOTAL NO. OF ITERATIONS REACHED LIMIT Increase the number of iterations to improve the convergence (max_iter=100). You might also want to 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_ridge.py::test_ridge_regression_unpenalized[wide-42-True-cholesky] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_ridge.py:265: LinAlgWarning: An ill-conditioned matrix detected: slice 0 has rcond = 5.975790156878946e-17. dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False) sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[wide-42-True-cholesky] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_ridge.py:265: LinAlgWarning: An ill-conditioned matrix detected: slice 0 has rcond = 3.983860104585964e-17. dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False) sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-True-cholesky] sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-False-cholesky] sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeClassifierCV-3] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_ridge.py:267: UserWarning: Singular matrix in solving dual problem. Using least-squares solution instead. warnings.warn( sklearn/linear_model/tests/test_ridge.py::test_ridge_classifier_with_scoring[None-cv1-_accuracy_callable] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/model_selection/_search.py:883: UserWarning: The scoring make_scorer(_accuracy_callable, response_method='predict') does not support sample_weight, which may lead to statistically incorrect results when fitting GridSearchCV(cv=KFold(n_splits=5, random_state=None, shuffle=False), estimator=RidgeClassifier(), param_grid={'alpha': array([ 0.1, 1. , 10. ])}, scoring=make_scorer(_accuracy_callable, response_method='predict')) with sample_weight. warnings.warn( sklearn/linear_model/tests/test_ridge.py::test_ridge_classifier_with_scoring[csr_matrix-cv1-_accuracy_callable] sklearn/linear_model/tests/test_ridge.py::test_ridge_classifier_with_scoring[csr_array-cv1-_accuracy_callable] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/model_selection/_search.py:883: UserWarning: The scoring make_scorer(_accuracy_callable, response_method='predict') does not support sample_weight, which may lead to statistically incorrect results when fitting GridSearchCV(cv=KFold(n_splits=5, random_state=None, shuffle=False), estimator=RidgeClassifier(solver='sparse_cg'), param_grid={'alpha': array([ 0.1, 1. , 10. ])}, scoring=make_scorer(_accuracy_callable, response_method='predict')) with sample_weight. warnings.warn( sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_custom_scoring[None-cv1] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/model_selection/_search.py:883: UserWarning: The scoring make_scorer(_dummy_score, response_method='predict') does not support sample_weight, which may lead to statistically incorrect results when fitting GridSearchCV(cv=KFold(n_splits=5, random_state=None, shuffle=False), estimator=RidgeClassifier(), param_grid={'alpha': array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02])}, scoring=make_scorer(_dummy_score, response_method='predict')) with sample_weight. warnings.warn( sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_custom_scoring[csr_matrix-cv1] sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_custom_scoring[csr_array-cv1] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/model_selection/_search.py:883: UserWarning: The scoring make_scorer(_dummy_score, response_method='predict') does not support sample_weight, which may lead to statistically incorrect results when fitting GridSearchCV(cv=KFold(n_splits=5, random_state=None, shuffle=False), estimator=RidgeClassifier(solver='sparse_cg'), param_grid={'alpha': array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02])}, scoring=make_scorer(_dummy_score, response_method='predict')) with sample_weight. warnings.warn( sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_ridge.py:265: LinAlgWarning: An ill-conditioned matrix detected: slice 0 has rcond = 5.745071893582923e-17. 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_ridge.py:265: LinAlgWarning: An ill-conditioned matrix detected: slice 0 has rcond = 5.492925629748892e-17. 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_ridge.py:265: LinAlgWarning: An ill-conditioned matrix detected: slice 0 has rcond = 3.152175636859821e-17. 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_regression.py:1288: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/model_selection/_search.py:1137: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_ridge.py:228: LinAlgWarning: An ill-conditioned matrix detected: slice 0 has rcond = 4.538655701946972e-18. 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/model_selection/_split.py:813: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_ridge.py:265: LinAlgWarning: An ill-conditioned matrix detected: slice 0 has rcond = 7.769675273623203e-17. 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_ridge.py:265: LinAlgWarning: An ill-conditioned matrix detected: slice 0 has rcond = 2.3840432510556323e-17. dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False) sklearn/linear_model/tests/test_sgd.py::test_sgd_oneclass_convergence sklearn/linear_model/tests/test_sgd.py::test_sgd_oneclass_convergence sklearn/linear_model/tests/test_sgd.py::test_sgd_oneclass_convergence /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_stochastic_gradient.py:2545: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit. warnings.warn( sklearn/manifold/tests/test_isomap.py::test_transform[float64-2-None] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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/python3.15/site-packages/scipy/sparse/_index.py:174: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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/manifold/tests/test_mds.py::test_classical_mds_init_to_mds sklearn/manifold/tests/test_mds.py::test_classical_mds_init_to_mds /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/manifold/_mds.py:383: UserWarning: Explicit initial positions passed: performing only one init of the MDS instead of 4 warnings.warn( 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_classification.py:1833: 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", result.shape[0]) 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_classification.py:1833: 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", result.shape[0]) sklearn/metrics/tests/test_classification.py: 3 warnings sklearn/metrics/tests/test_common.py: 9 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_classification.py:1833: 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", result.shape[0]) sklearn/metrics/tests/test_classification.py::test_likelihood_ratios_warnings[params3-No samples of the positive class are present in `y_true`.] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_classification.py:2439: RuntimeWarning: invalid value encountered in scalar divide positive_likelihood_ratio = pos_num / pos_denom sklearn/metrics/tests/test_classification.py::test_likelihood_ratios_warnings[params3-No samples of the positive class are present in `y_true`.] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_classification.py:2459: RuntimeWarning: invalid value encountered in scalar divide negative_likelihood_ratio = neg_num / neg_denom sklearn/metrics/tests/test_classification.py::test_likelihood_ratios sklearn/metrics/tests/test_classification.py::test_likelihood_ratios_raise_warning_deprecation[True] sklearn/metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_worst sklearn/metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_fp[replace_undefined_by0-1.0] sklearn/metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_fp[replace_undefined_by1-inf] sklearn/metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_fp[replace_undefined_by2-2.0] sklearn/metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_fp[replace_undefined_by3-nan] sklearn/metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_fp[nan-nan] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/_param_validation.py:218: UndefinedMetricWarning: `positive_likelihood_ratio` is ill-defined and set to `np.nan`. Use the `replace_undefined_by` param to return func(*args, **kwargs) sklearn/metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_worst sklearn/metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_tn[replace_undefined_by0-1.0] sklearn/metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_tn[replace_undefined_by1-0.0] sklearn/metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_tn[replace_undefined_by2-0.5] sklearn/metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_tn[replace_undefined_by3-nan] sklearn/metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_tn[nan-nan] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/_param_validation.py:218: UndefinedMetricWarning: `negative_likelihood_ratio` is ill-defined and set to `np.nan`. Use the `replace_undefined_by` param to control this behavior. To suppress this warning or turn it into an error, see Python's `warnings` module and `warnings.catch_warnings()`. return func(*args, **kwargs) sklearn/metrics/tests/test_classification.py::test_matthews_corrcoef[42] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_classification.py:620: 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_brier_score_loss_invalid_inputs /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_classification.py:198: UserWarning: Labels passed were ['eggs', 'spam', 'ham', 'yams']. But this function assumes labels are ordered lexicographically. Pass the ordered labels=['eggs', 'ham', 'spam', 'yams'] and ensure that the columns of y_prob correspond to this ordering. warnings.warn( sklearn/metrics/tests/test_classification.py::test_balanced_accuracy_score[y_true2-y_pred2] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_classification.py:2924: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_classification.py:1886: 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_classification.py::test_d2_log_loss_score_label_order /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_classification.py:198: UserWarning: Labels passed were [0, 2, 1]. But this function assumes labels are ordered lexicographically. Pass the ordered labels=[0, 1, 2] and ensure that the columns of y_prob correspond to this ordering. warnings.warn( sklearn/metrics/tests/test_classification.py::test_d2_brier_score_with_labels sklearn/metrics/tests/test_classification.py::test_d2_brier_score_with_labels /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_classification.py:198: UserWarning: Labels passed were [2, 0, 1]. But this function assumes labels are ordered lexicographically. Pass the ordered labels=[0, 1, 2] and ensure that the columns of y_prob correspond to this ordering. 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/externals/array_api_compat/numpy/_aliases.py:125: RuntimeWarning: invalid value encountered in cast return x.astype(dtype=dtype, copy=copy) 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_common.py::test_returned_value_consistency[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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_ranking.py:2153: 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: 75 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_classification.py:1833: 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", result.shape[0]) 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_classification.py:1833: 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", result.shape[0]) 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_classification.py:1833: 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", result.shape[0]) sklearn/metrics/tests/test_common.py: 25 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_classification.py:1833: 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", result.shape[0]) 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_classification.py:1833: 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", result.shape[0]) sklearn/metrics/tests/test_common.py: 76 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_classification.py:1833: 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", result.shape[0]) sklearn/metrics/tests/test_common.py: 28 warnings sklearn/metrics/tests/test_score_objects.py: 4 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_classification.py:1833: 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", result.shape[0]) sklearn/metrics/tests/test_common.py: 25 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_classification.py:1833: 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", result.shape[0]) 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_common.py::test_returned_value_consistency[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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_classification.py:1833: 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", result.shape[0]) sklearn/metrics/tests/test_ranking.py::test_precision_recall_curve_drop_intermediate /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_ranking.py:1131: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_regression.py:949: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_regression.py:949: RuntimeWarning: divide by zero encountered in divide output_scores = 1 - (numerator / denominator) 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/base.py:1336: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/mixture/_base.py:293: 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_search_cv_sample_weight_equivalence[estimator1] sklearn/model_selection/tests/test_search.py::test_search_cv_sample_weight_equivalence[estimator1] sklearn/model_selection/tests/test_search.py::test_empty_cv_iterator_error sklearn/model_selection/tests/test_search.py::test_random_search_bad_cv /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/model_selection/_search.py:324: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/model_selection/_search.py:324: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/model_selection/_search.py:324: UserWarning: The total space of parameters 3 is smaller than n_iter=30. Running 3 iterations. For exhaustive searches, use GridSearchCV. warnings.warn( sklearn/model_selection/tests/test_search.py: 10 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/model_selection/_validation.py:927: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/model_selection/_validation.py", line 916, in _score scores = scorer(estimator, X_test, y_test, **score_params) TypeError: test_unsupported_sample_weight_scorer..fake_score_func() takes 2 positional arguments but 3 were given warnings.warn( sklearn/model_selection/tests/test_search.py::test_unsupported_sample_weight_scorer sklearn/model_selection/tests/test_search.py::test_search_cv_results_none_param /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/model_selection/_search.py:1137: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/model_selection/_search.py:1137: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_stochastic_gradient.py:1419: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/model_selection/_search.py:324: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/model_selection/_split.py:813: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/model_selection/_split.py:813: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/model_selection/_split.py:813: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/model_selection/_split.py:1037: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/model_selection/_split.py:1037: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/model_selection/_split.py:1037: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/model_selection/_search.py:324: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/model_selection/_search.py:324: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/model_selection/_search.py:324: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/model_selection/_split.py:885: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/model_selection/_validation.py:1352: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/model_selection/_validation.py:1352: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/model_selection/_split.py:813: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/model_selection/_validation.py:1352: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/model_selection/_validation.py:1352: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/model_selection/_validation.py:927: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/model_selection/_validation.py", line 916, 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/neighbors/_lof.py:285: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/neighbors/_lof.py:285: 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] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/neighbors/_lof.py:285: UserWarning: n_neighbors (20) is greater than the total number of samples (15). n_neighbors will be set to (n_samples - 1) for estimation. warnings.warn( sklearn/neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_estimators_nan_inf] sklearn/neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_estimators_nan_inf] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/neighbors/_lof.py:285: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/neighbors/_lof.py:285: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/neighbors/_nca.py:337: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/neighbors/_nearest_centroid.py:241: 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/python3.15/site-packages/numpy/_core/numeric.py:475: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/neighbors/_classification.py:878: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/neighbors/_base.py:591: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/pairwise.py:2459: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/neighbors/_classification.py:868: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/pairwise.py:2459: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/pairwise.py:2459: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/pairwise.py:2459: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/pairwise.py:2459: 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-sokalsneath] sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-sokalsneath] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/pairwise.py:2459: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/neighbors/_base.py:661: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/manifold/_spectral_embedding.py:305: 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/python3.15/site-packages/scipy/sparse/_dia.py:76: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/extmath.py:1207: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/extmath.py:1212: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/extmath.py:1236: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/preprocessing/_data.py:2885: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/preprocessing/_data.py:2885: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/preprocessing/_data.py:2885: 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/python3.15/site-packages/numpy/lib/_nanfunctions_impl.py:1593: RuntimeWarning: All-NaN slice encountered return fnb._ureduce(a, sklearn/preprocessing/tests/test_discretization.py::test_fit_transform_n_bins_array[quantile-averaged_inverted_cdf-expected5-sample_weight5] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/preprocessing/_discretization.py:396: 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_n_bins_array[quantile-averaged_inverted_cdf-expected5-sample_weight5] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/preprocessing/_discretization.py:396: 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_n_bins_array[quantile-averaged_inverted_cdf-expected5-sample_weight5] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/preprocessing/_discretization.py:396: 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_kbinsdiscretizer_subsample_default sklearn/preprocessing/tests/test_discretization.py::test_kbinsdiscretizer_subsample_default /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/preprocessing/_discretization.py:396: 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_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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/preprocessing/_encoders.py:261: UserWarning: Found unknown categories in columns [0, 1] during transform. These unknown categories will be encoded as the infrequent category. warnings.warn(msg, UserWarning) 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] sklearn/preprocessing/tests/test_encoders.py::test_onehotencoder_handle_unknown_warn_maps_to_infrequent /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/preprocessing/_encoders.py:261: UserWarning: Found unknown categories in columns [0] during transform. These unknown categories will be encoded as the infrequent category. warnings.warn(msg, UserWarning) 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/preprocessing/_encoders.py:261: UserWarning: Found unknown categories in columns [1] during transform. These unknown categories will be encoded as the infrequent category. warnings.warn(msg, UserWarning) sklearn/svm/tests/test_svm.py::test_svc_nonfinite_params[42] /usr/lib64/python3.15/site-packages/numpy/_core/_methods.py:168: RuntimeWarning: overflow encountered in reduce arrmean = umr_sum(arr, axis, dtype, keepdims=True, where=where) sklearn/tests/test_calibration.py: 15 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/calibration.py:394: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/model_selection/_validation.py:1352: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/naive_bayes.py:537: RuntimeWarning: divide by zero encountered in log jointi = xp.log(self.class_prior_[i]) sklearn/tests/test_common.py: 16 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/decomposition/_pca.py:584: RuntimeWarning: invalid value encountered in divide explained_variance_ = (S**2) / (n_samples - 1) sklearn/tests/test_common.py: 23 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/cluster/_bicluster.py:346: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/decomposition/_fastica.py:132: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/decomposition/_nmf.py:2306: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/kernel_approximation.py:1024: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/preprocessing/_data.py:2885: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/preprocessing/_data.py:2885: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.360e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.665e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.033e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.234e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.400e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.539e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.655e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.750e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.827e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.888e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.935e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.970e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.994e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.010e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.017e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.018e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.014e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.006e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.993e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.978e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.960e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.941e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.920e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.899e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.877e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.854e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.831e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.809e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.786e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.765e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.743e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.722e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.702e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.683e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.664e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.646e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.629e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.613e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.597e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.582e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.568e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.555e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.542e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.530e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.519e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.508e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.498e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.488e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.479e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.471e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.463e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.456e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.449e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.442e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.436e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.430e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.425e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.419e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.415e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.410e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.406e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.402e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.398e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.395e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.392e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.389e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.386e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.383e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.381e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.379e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.377e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.375e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.373e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.371e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.369e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.368e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.366e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.365e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.364e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.363e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.362e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.361e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.360e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.359e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.358e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.357e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.356e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.242e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.824e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.152e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.256e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.317e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.349e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.358e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.348e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.323e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.286e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.239e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.185e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.125e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.062e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.996e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.928e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.860e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.792e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.724e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.658e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.593e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.469e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.353e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.299e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.247e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.197e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.150e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.105e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.062e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.022e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.984e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.948e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.914e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.881e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.851e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.823e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.796e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.770e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.747e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.724e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.703e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.684e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.648e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.632e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.617e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.602e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.589e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.577e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.565e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.554e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.544e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.534e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.526e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.517e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.509e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.502e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.495e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.489e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.483e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.477e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.472e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.467e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.463e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.459e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.455e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.451e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.448e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.444e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.441e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.439e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.436e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.434e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.431e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.429e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.427e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.425e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.424e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.422e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.421e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.419e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.418e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.417e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.416e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.415e-02, tolerance: 6.864e-03 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.360e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.665e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.033e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.234e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.400e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.539e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.655e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.750e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.827e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.888e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.935e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.970e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.994e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.010e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.017e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.018e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.014e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.006e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.993e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.978e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.960e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.941e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.920e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.899e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.877e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.854e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.831e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.809e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.786e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.765e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.743e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.722e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.702e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.683e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.664e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.646e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.629e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.613e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.597e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.582e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.568e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.555e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.542e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.530e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.519e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.508e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.498e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.488e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.479e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.471e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.463e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.456e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.449e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.442e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.436e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.430e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.425e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.419e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.415e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.410e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.406e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.402e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.398e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.395e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.392e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.389e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.386e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.383e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.381e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.379e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.377e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.375e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.373e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.371e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.369e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.368e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.366e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.365e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.364e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.363e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.362e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.361e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.360e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.359e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.358e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.357e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.356e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.242e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.824e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.152e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.256e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.317e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.349e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.358e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.348e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.323e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.286e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.239e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.185e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.125e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.062e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.996e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.928e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.860e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.792e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.724e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.658e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.593e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.469e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.353e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.299e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.247e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.197e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.150e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.105e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.062e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.022e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.984e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.948e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.914e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.881e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.851e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.823e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.796e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.770e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.747e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.724e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.703e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.684e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.648e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.632e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.617e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.602e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.589e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.577e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.565e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.554e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.544e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.534e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.526e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.517e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.509e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.502e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.495e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.489e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.483e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.477e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.472e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.467e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.463e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.459e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.455e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.451e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.448e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.444e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.441e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.439e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.436e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.434e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.431e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.429e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.427e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.425e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.424e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.422e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.421e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.419e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.418e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.417e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.416e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.415e-02, tolerance: 6.864e-03 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/preprocessing/_data.py:2885: 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_metaestimators.py: 1 warning sklearn/tests/test_metaestimators_metadata_routing.py: 30 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/semi_supervised/_self_training.py:244: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/model_selection/_search.py:324: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/model_selection/_search.py:324: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/model_selection/_search.py:324: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/model_selection/_validation.py:927: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/model_selection/_validation.py", line 916, in _score scores = scorer(estimator, X_test, y_test, **score_params) File "/builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_scorer.py", line 317, in __call__ return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs) ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_scorer.py", line 408, in _score response_method = _check_response_method(estimator, self._response_method) File "/builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/validation.py", line 2261, 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/model_selection/_validation.py:927: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/model_selection/_validation.py", line 916, in _score scores = scorer(estimator, X_test, y_test, **score_params) File "/builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_scorer.py", line 317, in __call__ return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs) ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_scorer.py", line 408, in _score response_method = _check_response_method(estimator, self._response_method) File "/builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/validation.py", line 2261, 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/naive_bayes.py:655: 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: 16 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/tree/_classes.py:1096: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/_array_api.py:878: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/tree/tests/test_tree.py:1891: RuntimeWarning: overflow encountered in cast data = xpx.nan_to_num(data.astype("float32")) sklearn/utils/tests/test_estimator_checks.py::test_check_estimator sklearn/utils/tests/test_estimator_checks.py::test_check_estimator /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/estimator_checks.py:875: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/estimator_checks.py:875: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/estimator_checks.py:875: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/estimator_checks.py:875: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/estimator_checks.py:875: SkipTestWarning: Skipping check check_regressor_data_not_an_array for RequiresPositiveXRegressor because it raised SkipTest: pandas is not installed: not checking estimators for pandas objects. warnings.warn( sklearn/utils/tests/test_estimator_checks.py::test_check_estimator sklearn/utils/tests/test_estimator_checks.py::test_check_estimator sklearn/utils/tests/test_extmath.py::test_randomized_svd_sparse_warnings[dok_matrix] sklearn/utils/tests/test_extmath.py::test_randomized_svd_sparse_warnings[dok_array] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/validation.py:981: UserWarning: Can't check dok sparse matrix for nan or inf. array = _ensure_sparse_format( sklearn/utils/tests/test_estimator_checks.py::test_check_estimator /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/estimator_checks.py:875: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/estimator_checks.py:875: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/estimator_checks.py:875: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/estimator_checks.py:875: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/estimator_checks.py:875: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/estimator_checks.py:875: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/estimator_checks.py:875: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/estimator_checks.py:875: SkipTestWarning: Skipping check check_array_api_input for PCA because it raised SkipTest: SCIPY_ARRAY_API is not set: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/estimator_checks.py:875: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/estimator_checks.py:875: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/estimator_checks.py:875: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/estimator_checks.py:875: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/estimator_checks.py:875: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/estimator_checks.py:875: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/estimator_checks.py:875: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/estimator_checks.py:125: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/estimator_checks.py:125: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/estimator_checks.py:125: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/estimator_checks.py:125: 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-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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 = 33036 passed, 8720 skipped, 5 deselected, 149 xfailed, 63 xpassed, 3886 warnings in 1392.16s (0:23:12) = + popd ~/build/BUILD/python-scikit-learn-1.8.0-build/scikit_learn-1.8.0 + RPM_EC=0 ++ jobs -p + exit 0 Processing files: python3-scikit-learn-1.8.0-2.fc45.ppc64le Executing(%doc): /bin/sh -e /var/tmp/rpm-tmp.SXNUxp + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.8.0-build + cd scikit_learn-1.8.0 + DOCDIR=/builddir/build/BUILD/python-scikit-learn-1.8.0-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-1.8.0-build/BUILDROOT/usr/share/doc/python3-scikit-learn + cp -pr /builddir/build/BUILD/python-scikit-learn-1.8.0-build/scikit_learn-1.8.0/examples /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/share/doc/python3-scikit-learn + RPM_EC=0 ++ jobs -p + exit 0 Executing(%license): /bin/sh -e /var/tmp/rpm-tmp.ITVC2M + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.8.0-build + cd scikit_learn-1.8.0 + LICENSEDIR=/builddir/build/BUILD/python-scikit-learn-1.8.0-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-1.8.0-build/BUILDROOT/usr/share/licenses/python3-scikit-learn + cp -pr /builddir/build/BUILD/python-scikit-learn-1.8.0-build/scikit_learn-1.8.0/COPYING /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/share/licenses/python3-scikit-learn + cp -pr /builddir/build/BUILD/python-scikit-learn-1.8.0-build/scikit_learn-1.8.0/sklearn/svm/src/liblinear/COPYRIGHT /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/share/licenses/python3-scikit-learn + RPM_EC=0 ++ jobs -p + exit 0 Provides: python-scikit-learn = 1.8.0-2.fc45 python-sklearn = 1.8.0-2.fc45 python3-scikit-learn = 1.8.0-2.fc45 python3-scikit-learn(ppc-64) = 1.8.0-2.fc45 python3.15-scikit-learn = 1.8.0-2.fc45 python3.15-sklearn = 1.8.0-2.fc45 python3.15dist(scikit-learn) = 1.8 python3dist(scikit-learn) = 1.8 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: /usr/bin/python3 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) libm.so.6(GLIBC_2.43)(64bit) libstdc++.so.6()(64bit) libstdc++.so.6(CXXABI_1.3)(64bit) libstdc++.so.6(CXXABI_1.3.8)(64bit) libstdc++.so.6(CXXABI_1.3.9)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(64bit) python(abi) = 3.15 python3.15dist(joblib) >= 1.3 python3.15dist(numpy) >= 1.24.1 python3.15dist(scipy) >= 1.10 python3.15dist(threadpoolctl) >= 3.2 rtld(GNU_HASH) Obsoletes: python-sklearn < 1.8.0-2.fc45 python3-scikit_learn < 1.5.2-2 Processing files: python-scikit-learn-debugsource-1.8.0-2.fc45.ppc64le Provides: python-scikit-learn-debugsource = 1.8.0-2.fc45 python-scikit-learn-debugsource(ppc-64) = 1.8.0-2.fc45 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-1.8.0-2.fc45.ppc64le Provides: debuginfo(build-id) = 00a92794fd4afe6d23bea039ba0fd07b209bdeaa debuginfo(build-id) = 0215487dbbd3057abe6a6d4a7329bbe48b248516 debuginfo(build-id) = 03864e563ab9e2a5c8960c6984cd4bb7f427ab23 debuginfo(build-id) = 03e1323471ad96f919cb8b93baea5b095a98f7c5 debuginfo(build-id) = 049cc94f563b1e13f2a91714fcc81988cb93679d debuginfo(build-id) = 1244893a6ffd3e0f1f2103b3a40a4e31c4a906d4 debuginfo(build-id) = 1558a196221712864dddd5771b6b1aee2e48af35 debuginfo(build-id) = 25ea7cbe17658910d2d15146138b05c93deacd6d debuginfo(build-id) = 2692f39fe396fa813be40cb1e01c6b8265dbb048 debuginfo(build-id) = 30ba10f3f21f8511a802504f3f86464d8f0c4dcb debuginfo(build-id) = 39972e39ab49f625d6cc0d6d843df3b6b2dfa3f9 debuginfo(build-id) = 3f8c9b9f96161231d8b0e4e7d0e6ea84479f1af7 debuginfo(build-id) = 40cb1613000b8d0d6876785581f6f479f9f1935a debuginfo(build-id) = 5248efc8557c261c878e6e8b2ddd8954ce5226d3 debuginfo(build-id) = 5c2a5c4a8dc6e0c390ce9cd805a92700294e424e debuginfo(build-id) = 5e0e774ff98f3806539863109dbd659889477175 debuginfo(build-id) = 5ec563cb490b47ef68116ac3a1218c92e4116ca0 debuginfo(build-id) = 607d66bbfe063c683504c5da4799780fbbf0d961 debuginfo(build-id) = 612881fd2fb21451dce4021d365a7eeeb5918b48 debuginfo(build-id) = 6295a6de326816bdd2436d90c2b2a86de1b2a666 debuginfo(build-id) = 66949a4444773124324972c648819ac3ddc8cab6 debuginfo(build-id) = 685b24f2dd46a7c7a4286be83a7c1df51884d1ba debuginfo(build-id) = 6cce218ad62d505f0dd8cfc0cb27ceb9fbce504b debuginfo(build-id) = 6d21aea39f8facc3dabfe131177f913635c404fb debuginfo(build-id) = 71abff5638d34023a34f5de486628729625f07fd debuginfo(build-id) = 726dbb649db4ae634f93132fb43cd0e7531d311e debuginfo(build-id) = 7397e75147b5ff693c496aea174f05bf68ca39ca debuginfo(build-id) = 76b496eee5c6b64031e8ae2dea42fd91ca1defaa debuginfo(build-id) = 77cbfd2f3327074c4206d15d8eca1ec673c9b86c debuginfo(build-id) = 7c9f131a48747ce3125dc8a0c8b94ac89c061199 debuginfo(build-id) = 7dd09b31216c0a60e268553d2adc6135336c2645 debuginfo(build-id) = 7fdbebb1d4e5144aa4ceed1ec2780509ca223e51 debuginfo(build-id) = 7ff4e13f78ffe8327725ec86497f02421a91c5c4 debuginfo(build-id) = 822781e6609f96ec0d439a6779f741ca3b6236ef debuginfo(build-id) = 83759bcecd1f026893c4f2331105c80dc3956b3b debuginfo(build-id) = 8805ce9b8a85eb17525deaccba7e866f1edb2790 debuginfo(build-id) = 89c8ff131ab9ee16e5eb24ab7c2ce6430cd091c1 debuginfo(build-id) = 8bb70539a0a3f47b3833c9004df520a44d15d05b debuginfo(build-id) = 8c7995d5dbbc86f60e11c04aafc4615c02c73097 debuginfo(build-id) = 964d292db8113b4d632bc06b644236a522edaddc debuginfo(build-id) = 9e4229bc5441857e8e3e8c4170ce5267aa58920a debuginfo(build-id) = a4021ef20dcb879d6b91b7924ea08107e4f72a7f debuginfo(build-id) = aa550f9f712af1a76cad1b9130f5937fd3f5d67e debuginfo(build-id) = be436a44349af329abd540c3403a98b7c0dbdf39 debuginfo(build-id) = c076d6ccef8bd56d34acaa22ac3ce7919aa3c272 debuginfo(build-id) = c7a408f8102b1ebb798006134f4a871b994b659e debuginfo(build-id) = c7b2e9c70c3320de271fc44910c7030986306bbf debuginfo(build-id) = cb59e82b80e9ff9f0324dd6ef02cee88f8c789f4 debuginfo(build-id) = cb8fa670b10018b5da6528562fe1c650a3fed0a0 debuginfo(build-id) = cc9077a9b297e92d3853625c0c85a4b652305510 debuginfo(build-id) = cd8aa83719c3445f56e921fa49918d5c286c43a8 debuginfo(build-id) = cebdb3d32d08aef684b661a013b06439339f5aa4 debuginfo(build-id) = de7b3df020f09ad139ad7f064bdd91d7bc79e6f2 debuginfo(build-id) = de9d254ae355db892865ac19cd8c3f5a4d93480c debuginfo(build-id) = e2d87036e9bdb7a1dd5626735c1ee979130c3a9e debuginfo(build-id) = e3f0fcbf627a25390277f64ff46895376d9c19d3 debuginfo(build-id) = e470773897a49d359af9ba1094e5590d4e18a1b5 debuginfo(build-id) = ea4f34f4acfbffac84c82a5cae4e12140014891e debuginfo(build-id) = eaf498f341fd2a9177acf729abbbb24643e15fa8 debuginfo(build-id) = eb37096ad1bb628201f4e3f89cb6983b37f69415 debuginfo(build-id) = ed403ccc763187a8f4b5435ebdf56a9c7088208a debuginfo(build-id) = f19c8b9f2289d56c8cdb9e7ef300464117fa319f debuginfo(build-id) = f341601c86f5f491c1ef17cd6a5462f6267d91ae debuginfo(build-id) = f3b1425ec7d9a4a6040cd0667c5dd1533a4113a2 debuginfo(build-id) = f3f6ac443a37924e03d4e8619a28cf6c3b684aba debuginfo(build-id) = f8021157b2c86b69bc438a946337daa5d7d7308b debuginfo(build-id) = f8f3bc7b61c178b298be8ed2c1133c80034a8575 debuginfo(build-id) = f9ead29ca70d9eafad311ed4c72f4c7c17cc7ea5 debuginfo(build-id) = ff336b6978d8a39a8a1ab98dc1ba7e6641f9a22f python-scikit-learn-debuginfo = 1.8.0-2.fc45 python3-scikit-learn-debuginfo = 1.8.0-2.fc45 python3-scikit-learn-debuginfo(ppc-64) = 1.8.0-2.fc45 python3.15-scikit-learn-debuginfo = 1.8.0-2.fc45 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) = 1.8.0-2.fc45 Checking for unpackaged file(s): /usr/lib/rpm/check-files /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT Wrote: /builddir/build/SRPMS/python-scikit-learn-1.8.0-2.fc45.src.rpm Wrote: /builddir/build/RPMS/python-scikit-learn-debugsource-1.8.0-2.fc45.ppc64le.rpm Wrote: /builddir/build/RPMS/python3-scikit-learn-debuginfo-1.8.0-2.fc45.ppc64le.rpm Wrote: /builddir/build/RPMS/python3-scikit-learn-1.8.0-2.fc45.ppc64le.rpm Finish: rpmbuild python-scikit-learn-1.8.0-2.fc45.src.rpm Finish: build phase for python-scikit-learn-1.8.0-2.fc45.src.rpm INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-45-ppc64le-1790417325.832578/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-1.8.0-2.fc45.src.rpm) Config(child) 29 minutes 35 seconds INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results INFO: Cleaning up build root ('cleanup_on_success=True') Start: clean chroot INFO: unmounting tmpfs. Finish: clean chroot Finish: run Running RPMResults tool Package info: { "packages": [ { "name": "python-scikit-learn-debugsource", "epoch": null, "version": "1.8.0", "release": "2.fc45", "arch": "ppc64le" }, { "name": "python3-scikit-learn-debuginfo", "epoch": null, "version": "1.8.0", "release": "2.fc45", "arch": "ppc64le" }, { "name": "python3-scikit-learn", "epoch": null, "version": "1.8.0", "release": "2.fc45", "arch": "ppc64le" }, { "name": "python-scikit-learn", "epoch": null, "version": "1.8.0", "release": "2.fc45", "arch": "src" } ] } RPMResults finished