Warning: Permanently added '34.230.38.246' (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/10246280-fedora-rawhide-aarch64 --chroot fedora-rawhide-aarch64 Version: 1.6 PID: 12719 Logging PID: 12721 Task: {'allow_user_ssh': False, 'appstream': False, 'background': False, 'build_id': 10246280, 'buildroot_pkgs': [], 'chroot': 'fedora-rawhide-aarch64', 'enable_net': False, 'fedora_review': True, 'git_hash': '66de8c7751a632390e0e0d74ec0fddcea1b341bf', 'git_repo': 'https://copr-dist-git.fedorainfracloud.org/git/jamatos/python_machine_learning_misc/python-scikit-learn', 'isolation': 'default', 'memory_reqs': 2048, 'package_name': 'python-scikit-learn', 'package_version': '1.8.0-1', 'project_dirname': 'python_machine_learning_misc', 'project_name': 'python_machine_learning_misc', 'project_owner': 'jamatos', 'repo_priority': None, 'repos': [{'baseurl': 'https://download.copr.fedorainfracloud.org/results/jamatos/python_machine_learning_misc/fedora-rawhide-aarch64/', 'id': 'copr_base', 'name': 'Copr repository', 'priority': None}], 'sandbox': 'jamatos/python_machine_learning_misc--jamatos', 'source_json': {}, 'source_type': None, 'ssh_public_keys': None, 'storage': 0, 'submitter': 'jamatos', 'tags': [], 'task_id': '10246280-fedora-rawhide-aarch64', 'timeout': 18000, 'uses_devel_repo': False, 'with_opts': [], 'without_opts': []} Running: git clone https://copr-dist-git.fedorainfracloud.org/git/jamatos/python_machine_learning_misc/python-scikit-learn /var/lib/copr-rpmbuild/workspace/workdir-14a75xg4/python-scikit-learn --depth 500 --no-single-branch --recursive cmd: ['git', 'clone', 'https://copr-dist-git.fedorainfracloud.org/git/jamatos/python_machine_learning_misc/python-scikit-learn', '/var/lib/copr-rpmbuild/workspace/workdir-14a75xg4/python-scikit-learn', '--depth', '500', '--no-single-branch', '--recursive'] cwd: . rc: 0 stdout: stderr: Cloning into '/var/lib/copr-rpmbuild/workspace/workdir-14a75xg4/python-scikit-learn'... Running: git checkout 66de8c7751a632390e0e0d74ec0fddcea1b341bf -- cmd: ['git', 'checkout', '66de8c7751a632390e0e0d74ec0fddcea1b341bf', '--'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-14a75xg4/python-scikit-learn rc: 0 stdout: stderr: Note: switching to '66de8c7751a632390e0e0d74ec0fddcea1b341bf'. 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 66de8c7 automatic import of python-scikit-learn Running: dist-git-client sources cmd: ['dist-git-client', 'sources'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-14a75xg4/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/jamatos/python_machine_learning_misc/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 100 7163k 100 7163k 0 0 185M 0 --:--:-- --:--:-- --:--:-- 189M INFO: Reading stdout from command: md5sum scikit_learn-1.8.0.tar.gz tail: /var/lib/copr-rpmbuild/main.log: file truncated Running (timeout=18000): unbuffer mock --spec /var/lib/copr-rpmbuild/workspace/workdir-14a75xg4/python-scikit-learn/python-scikit-learn.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-14a75xg4/python-scikit-learn --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1773999075.232124 -r /var/lib/copr-rpmbuild/results/configs/child.cfg INFO: mock.py version 6.7 starting (python version = 3.14.2, NVR = mock-6.7-1.fc43), args: /usr/libexec/mock/mock --spec /var/lib/copr-rpmbuild/workspace/workdir-14a75xg4/python-scikit-learn/python-scikit-learn.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-14a75xg4/python-scikit-learn --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1773999075.232124 -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-14a75xg4/python-scikit-learn/python-scikit-learn.spec) Config(fedora-rawhide-aarch64) Start: clean chroot Finish: clean chroot Mock Version: 6.7 INFO: Mock Version: 6.7 Start(bootstrap): chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-aarch64-bootstrap-1773999075.232124/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:rawhide INFO: Pulling image: registry.fedoraproject.org/fedora:rawhide INFO: Tagging container image as mock-bootstrap-b012a472-d96d-419c-8666-de493895121f INFO: Checking that 739aa431c870f0d4803dcbe058c5907071752498e6222d52063aea3a3597fb8f image matches host's architecture INFO: Copy content of container 739aa431c870f0d4803dcbe058c5907071752498e6222d52063aea3a3597fb8f to /var/lib/mock/fedora-rawhide-aarch64-bootstrap-1773999075.232124/root INFO: mounting 739aa431c870f0d4803dcbe058c5907071752498e6222d52063aea3a3597fb8f with podman image mount INFO: image 739aa431c870f0d4803dcbe058c5907071752498e6222d52063aea3a3597fb8f as /var/lib/containers/storage/overlay/445b21b53446a0af6c4e46225b34b6e7dd08be8e4184d4cebbf2ee9fe7a4b112/merged INFO: umounting image 739aa431c870f0d4803dcbe058c5907071752498e6222d52063aea3a3597fb8f (/var/lib/containers/storage/overlay/445b21b53446a0af6c4e46225b34b6e7dd08be8e4184d4cebbf2ee9fe7a4b112/merged) with podman image umount INFO: Removing image mock-bootstrap-b012a472-d96d-419c-8666-de493895121f INFO: Package manager dnf5 detected and used (fallback) INFO: Not updating bootstrap chroot, bootstrap_image_ready=True Start(bootstrap): creating root cache Finish(bootstrap): creating root cache Finish(bootstrap): chroot init Start: chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-aarch64-1773999075.232124/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-6.0.1-5.fc45.aarch64 rpm-sequoia-1.10.1-1.fc45.aarch64 dnf5-5.4.0.0-5.fc45.aarch64 dnf5-plugins-5.4.0.0-5.fc45.aarch64 Start: installing minimal buildroot with dnf5 Updating and loading repositories: Copr repository 100% | 45.7 KiB/s | 3.1 KiB | 00m00s fedora 100% | 22.7 MiB/s | 20.9 MiB | 00m01s Repositories loaded. Package Arch Version Repository Size Installing group/module packages: bash aarch64 0:5.3.9-3.fc44 fedora 8.4 MiB bzip2 aarch64 0:1.0.8-23.fc44 fedora 171.1 KiB coreutils aarch64 0:9.10-3.fc45 fedora 8.2 MiB cpio aarch64 0:2.15-9.fc44 fedora 1.1 MiB diffutils aarch64 0:3.12-5.fc44 fedora 1.6 MiB fedora-release-common noarch 0:45-0.2 fedora 20.6 KiB findutils aarch64 1:4.10.0-7.fc44 fedora 1.9 MiB gawk aarch64 0:5.4.0-2.fc45 fedora 2.9 MiB glibc-minimal-langpack aarch64 0:2.43.9000-4.fc45 fedora 0.0 B grep aarch64 0:3.12-3.fc44 fedora 1.0 MiB gzip aarch64 0:1.14-2.fc44 fedora 437.5 KiB info aarch64 0:7.3-1.fc45 fedora 424.3 KiB patch aarch64 0:2.8-4.fc44 fedora 262.4 KiB redhat-rpm-config noarch 0:344-1.fc45 fedora 183.7 KiB rpm-build aarch64 0:6.0.1-5.fc45 fedora 597.8 KiB sed aarch64 0:4.9-8.fc45 fedora 873.1 KiB shadow-utils aarch64 2:4.19.3-1.fc45 fedora 4.4 MiB tar aarch64 2:1.35-8.fc44 fedora 3.0 MiB unzip aarch64 0:6.0-69.fc44 fedora 533.8 KiB util-linux aarch64 0:2.41.3-12.fc44 fedora 6.8 MiB which aarch64 0:2.23-4.fc44 fedora 123.3 KiB xz aarch64 1:5.8.2-2.fc44 fedora 1.4 MiB Installing dependencies: R-srpm-macros noarch 0:1.3.5-1.fc45 fedora 3.5 KiB add-determinism aarch64 0:0.7.3-1.fc45 fedora 2.0 MiB alternatives aarch64 0:1.33-5.fc44 fedora 90.1 KiB ansible-srpm-macros noarch 0:1-20.1.fc44 fedora 35.7 KiB audit-libs aarch64 0:4.1.3-1.fc44 fedora 486.5 KiB binutils aarch64 0:2.46.50-3.fc45 fedora 31.5 MiB build-reproducibility-srpm-macros noarch 0:0.7.3-1.fc45 fedora 1.2 KiB bzip2-libs aarch64 0:1.0.8-23.fc44 fedora 72.5 KiB ca-certificates noarch 0:2025.2.80_v9.0.304-6.fc45 fedora 2.7 MiB cmake-srpm-macros noarch 0:4.2.3-2.fc45 fedora 524.0 B coreutils-common aarch64 0:9.10-3.fc45 fedora 10.7 MiB crypto-policies noarch 0:20251128-3.git19878fe.fc44 fedora 132.6 KiB curl aarch64 0:8.19.0-1.fc45 fedora 462.9 KiB cyrus-sasl-lib aarch64 0:2.1.28-35.fc44 fedora 2.4 MiB debugedit aarch64 0:5.3-2.fc45 fedora 320.9 KiB dwz aarch64 0:0.16-3.fc44 fedora 322.4 KiB ed aarch64 0:1.22.5-2.fc45 fedora 157.7 KiB efi-srpm-macros noarch 0:6-6.fc44 fedora 40.2 KiB elfutils aarch64 0:0.194-5.fc45 fedora 3.3 MiB elfutils-debuginfod-client aarch64 0:0.194-5.fc45 fedora 143.6 KiB elfutils-default-yama-scope noarch 0:0.194-5.fc45 fedora 1.8 KiB elfutils-libelf aarch64 0:0.194-5.fc45 fedora 1.1 MiB elfutils-libs aarch64 0:0.194-5.fc45 fedora 746.3 KiB erlang-srpm-macros noarch 0:0.3.11-1.fc45 fedora 1.9 KiB fedora-gpg-keys noarch 0:45-0.1 fedora 133.4 KiB fedora-release noarch 0:45-0.2 fedora 0.0 B fedora-release-identity-basic noarch 0:45-0.2 fedora 664.0 B fedora-repos noarch 0:45-0.1 fedora 4.9 KiB fedora-repos-rawhide noarch 0:45-0.1 fedora 2.2 KiB file aarch64 0:5.47-1.fc45 fedora 141.2 KiB file-libs aarch64 0:5.47-1.fc45 fedora 12.2 MiB filesystem aarch64 0:3.18-56.fc45 fedora 112.0 B filesystem-srpm-macros noarch 0:3.18-56.fc45 fedora 38.2 KiB fonts-srpm-macros noarch 1:5.0.0-3.fc45 fedora 55.8 KiB forge-srpm-macros noarch 0:0.4.0-4.fc44 fedora 38.9 KiB fpc-srpm-macros noarch 0:1.3-16.fc44 fedora 144.0 B gap-srpm-macros noarch 0:2-2.fc44 fedora 2.1 KiB gdb-minimal aarch64 0:17.1-5.fc45 fedora 13.5 MiB gdbm-libs aarch64 1:1.23-11.fc44 fedora 233.7 KiB ghc-srpm-macros noarch 0:1.10-1.fc44 fedora 792.0 B glibc aarch64 0:2.43.9000-4.fc45 fedora 6.4 MiB glibc-common aarch64 0:2.43.9000-4.fc45 fedora 1.3 MiB glibc-gconv-extra aarch64 0:2.43.9000-4.fc45 fedora 18.6 MiB gmp aarch64 1:6.3.0-5.fc44 fedora 657.9 KiB gnat-srpm-macros noarch 0:7-2.fc44 fedora 1.0 KiB gnulib-l10n noarch 0:20241231-2.fc44 fedora 655.0 KiB gnupg2 aarch64 0:2.4.9-5.fc44 fedora 6.4 MiB gnupg2-dirmngr aarch64 0:2.4.9-5.fc44 fedora 646.0 KiB gnupg2-gpg-agent aarch64 0:2.4.9-5.fc44 fedora 846.7 KiB gnupg2-gpgconf aarch64 0:2.4.9-5.fc44 fedora 321.7 KiB gnupg2-keyboxd aarch64 0:2.4.9-5.fc44 fedora 233.2 KiB gnupg2-verify aarch64 0:2.4.9-5.fc44 fedora 364.3 KiB gnutls aarch64 0:3.8.12-1.fc45 fedora 3.6 MiB go-srpm-macros noarch 0:3.8.0-2.fc44 fedora 61.9 KiB gpgverify noarch 0:2.2-4.fc44 fedora 8.7 KiB ima-evm-utils-libs aarch64 0:1.6.2-10.fc45 fedora 92.6 KiB jansson aarch64 0:2.14-4.fc44 fedora 93.0 KiB java-srpm-macros noarch 0:1-8.fc44 fedora 870.0 B json-c aarch64 0:0.18-8.fc44 fedora 138.5 KiB kernel-srpm-macros noarch 0:1.0-28.fc44 fedora 1.9 KiB keyutils-libs aarch64 0:1.6.3-7.fc44 fedora 98.2 KiB krb5-libs aarch64 0:1.22.2-2.fc45 fedora 2.5 MiB libacl aarch64 0:2.3.2-6.fc44 fedora 67.8 KiB libarchive aarch64 0:3.8.6-1.fc45 fedora 975.2 KiB libassuan aarch64 0:2.5.7-5.fc44 fedora 215.8 KiB libattr aarch64 0:2.5.2-8.fc44 fedora 68.3 KiB libblkid aarch64 0:2.41.3-12.fc44 fedora 290.3 KiB libbrotli aarch64 0:1.2.0-3.fc44 fedora 909.1 KiB libcap aarch64 0:2.77-2.fc44 fedora 508.0 KiB libcap-ng aarch64 0:0.9.1-1.fc45 fedora 160.6 KiB libcbor aarch64 0:0.13.0-2.fc44 fedora 139.5 KiB libcom_err aarch64 0:1.47.4-1.fc45 fedora 111.1 KiB libcurl aarch64 0:8.19.0-1.fc45 fedora 981.0 KiB libeconf aarch64 0:0.7.9-3.fc44 fedora 80.8 KiB libevent aarch64 0:2.1.12-17.fc44 fedora 1.1 MiB libfdisk aarch64 0:2.41.3-12.fc44 fedora 418.7 KiB libffi aarch64 0:3.5.2-2.fc44 fedora 155.7 KiB libfido2 aarch64 0:1.16.0-5.fc44 fedora 278.6 KiB libfsverity aarch64 0:1.7-1.fc45 fedora 68.3 KiB libgcc aarch64 0:16.0.1-0.9.fc45 fedora 222.3 KiB libgcrypt aarch64 0:1.12.1-1.fc45 fedora 1.2 MiB libgomp aarch64 0:16.0.1-0.9.fc45 fedora 592.1 KiB libgpg-error aarch64 0:1.59-1.fc45 fedora 994.3 KiB libidn2 aarch64 0:2.3.8-3.fc44 fedora 560.4 KiB libksba aarch64 0:1.6.8-1.fc45 fedora 401.7 KiB liblastlog2 aarch64 0:2.41.3-12.fc44 fedora 137.7 KiB libmount aarch64 0:2.41.3-12.fc44 fedora 420.0 KiB libnghttp2 aarch64 0:1.68.0-3.fc44 fedora 197.9 KiB libnghttp3 aarch64 0:1.15.0-1.fc44 fedora 206.6 KiB libpkgconf aarch64 0:2.5.1-1.fc45 fedora 133.9 KiB libpsl aarch64 0:0.21.5-7.fc44 fedora 132.3 KiB libselinux aarch64 0:3.10-1.fc44 fedora 201.0 KiB libselinux-utils aarch64 0:3.10-1.fc44 fedora 1.3 MiB libsemanage aarch64 0:3.10-1.fc44 fedora 360.0 KiB libsepol aarch64 0:3.10-1.fc44 fedora 810.0 KiB libsmartcols aarch64 0:2.41.3-12.fc44 fedora 224.4 KiB libssh aarch64 0:0.12.0-1.fc45 fedora 718.9 KiB libssh-config noarch 0:0.12.0-1.fc45 fedora 277.0 B libstdc++ aarch64 0:16.0.1-0.9.fc45 fedora 2.8 MiB libtasn1 aarch64 0:4.21.0-1.fc45 fedora 220.7 KiB libtool-ltdl aarch64 0:2.5.4-10.fc44 fedora 93.9 KiB libunistring aarch64 0:1.1-11.fc44 fedora 1.7 MiB libusb1 aarch64 0:1.0.29-5.fc44 fedora 178.8 KiB libuuid aarch64 0:2.41.3-12.fc44 fedora 69.3 KiB libverto aarch64 0:0.3.2-12.fc44 fedora 69.3 KiB libxcrypt aarch64 0:4.5.2-3.fc44 fedora 273.2 KiB libxml2 aarch64 0:2.12.10-6.fc44 fedora 1.9 MiB libzstd aarch64 0:1.5.7-5.fc44 fedora 860.2 KiB linkdupes aarch64 0:0.7.3-1.fc45 fedora 713.8 KiB lua-libs aarch64 0:5.5.0-1.fc45 fedora 329.9 KiB lua-srpm-macros noarch 0:1-17.fc44 fedora 1.3 KiB lz4-libs aarch64 0:1.10.0-4.fc44 fedora 197.3 KiB mpfr aarch64 0:4.2.2-3.fc44 fedora 755.4 KiB ncurses-base noarch 0:6.6-1.fc44 fedora 329.7 KiB ncurses-libs aarch64 0:6.6-1.fc44 fedora 1.2 MiB nettle aarch64 0:3.10.1-3.fc44 fedora 765.0 KiB ngtcp2 aarch64 0:1.21.0-1.fc45 fedora 341.1 KiB ngtcp2-crypto-ossl aarch64 0:1.21.0-1.fc45 fedora 67.5 KiB npth aarch64 0:1.8-4.fc44 fedora 93.3 KiB ocaml-srpm-macros noarch 0:11-3.fc44 fedora 1.9 KiB openblas-srpm-macros noarch 0:2-21.fc44 fedora 112.0 B openldap aarch64 0:2.6.13-1.fc45 fedora 764.2 KiB openssl-libs aarch64 1:3.5.5-1.fc44 fedora 7.4 MiB p11-kit aarch64 0:0.26.2-1.fc45 fedora 2.7 MiB p11-kit-trust aarch64 0:0.26.2-1.fc45 fedora 530.1 KiB package-notes-srpm-macros noarch 0:0.17-3.fc45 fedora 1.6 KiB pam-libs aarch64 0:1.7.2-1.fc44 fedora 222.6 KiB pcre2 aarch64 0:10.47-1.fc44.1 fedora 714.3 KiB pcre2-syntax noarch 0:10.47-1.fc44.1 fedora 281.9 KiB perl-srpm-macros noarch 0:1-61.fc44 fedora 861.0 B pkgconf aarch64 0:2.5.1-1.fc45 fedora 116.7 KiB pkgconf-m4 noarch 0:2.5.1-1.fc45 fedora 14.3 KiB pkgconf-pkg-config aarch64 0:2.5.1-1.fc45 fedora 990.0 B policycoreutils aarch64 0:3.10-2.fc45 fedora 1.5 MiB popt aarch64 0:1.19-10.fc44 fedora 144.6 KiB publicsuffix-list-dafsa noarch 0:20260116-1.fc44 fedora 70.4 KiB pyproject-srpm-macros noarch 0:1.18.7-1.fc45 fedora 1.9 KiB python-srpm-macros noarch 0:3.14-11.fc45 fedora 51.6 KiB qt5-srpm-macros noarch 0:5.15.18-2.fc44 fedora 500.0 B qt6-srpm-macros noarch 0:6.10.2-1.fc45 fedora 472.0 B readline aarch64 0:8.3-4.fc44 fedora 563.5 KiB rpm aarch64 0:6.0.1-5.fc45 fedora 3.3 MiB rpm-build-libs aarch64 0:6.0.1-5.fc45 fedora 264.0 KiB rpm-libs aarch64 0:6.0.1-5.fc45 fedora 994.9 KiB rpm-plugin-selinux aarch64 0:6.0.1-5.fc45 fedora 67.8 KiB rpm-sequoia aarch64 0:1.10.1-1.fc45 fedora 2.2 MiB rpm-sign-libs aarch64 0:6.0.1-5.fc45 fedora 67.6 KiB rust-srpm-macros noarch 0:28.4-3.fc44 fedora 5.5 KiB selinux-policy noarch 0:43.1-1.fc45 fedora 32.0 KiB selinux-policy-targeted noarch 0:43.1-1.fc45 fedora 18.5 MiB setup noarch 0:2.15.0-29.fc45 fedora 724.9 KiB sqlite-libs aarch64 0:3.52.0-1.fc45 fedora 1.6 MiB systemd-libs aarch64 0:260-1.fc45 fedora 2.5 MiB systemd-standalone-sysusers aarch64 0:260-1.fc45 fedora 847.8 KiB tpm2-tss aarch64 0:4.1.3-9.fc44 fedora 2.1 MiB tree-sitter-srpm-macros noarch 0:0.4.2-2.fc44 fedora 8.3 KiB util-linux-core aarch64 0:2.41.3-12.fc44 fedora 2.4 MiB xxhash-libs aarch64 0:0.8.3-4.fc44 fedora 85.8 KiB xz-libs aarch64 1:5.8.2-2.fc44 fedora 265.4 KiB zig-srpm-macros noarch 0:1-8.fc44 fedora 1.3 KiB zip aarch64 0:3.0-45.fc44 fedora 762.0 KiB zlib-ng-compat aarch64 0:2.3.3-5.fc45 fedora 133.3 KiB zstd aarch64 0:1.5.7-5.fc44 fedora 562.2 KiB Installing groups: Buildsystem building group Transaction Summary: Installing: 185 packages Total size of inbound packages is 67 MiB. Need to download 67 MiB. After this operation, 251 MiB extra will be used (install 251 MiB, remove 0 B). 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libevent-0:2.1.12-17.fc44.aar 100% | 66.0 MiB/s | 270.5 KiB | 00m00s [156/185] nettle-0:3.10.1-3.fc44.aarch6 100% | 16.0 MiB/s | 425.5 KiB | 00m00s [157/185] gdbm-libs-1:1.23-11.fc44.aarc 100% | 27.5 MiB/s | 56.3 KiB | 00m00s [158/185] libidn2-0:2.3.8-3.fc44.aarch6 100% | 3.7 MiB/s | 174.6 KiB | 00m00s [159/185] libtool-ltdl-0:2.5.4-10.fc44. 100% | 1.4 MiB/s | 35.6 KiB | 00m00s [160/185] systemd-standalone-sysusers-0 100% | 32.6 MiB/s | 333.8 KiB | 00m00s [161/185] xxhash-libs-0:0.8.3-4.fc44.aa 100% | 4.8 MiB/s | 34.5 KiB | 00m00s [162/185] fedora-release-identity-basic 100% | 2.6 MiB/s | 13.5 KiB | 00m00s [163/185] fedora-release-0:45-0.2.noarc 100% | 364.5 KiB/s | 12.8 KiB | 00m00s [164/185] libcurl-0:8.19.0-1.fc45.aarch 100% | 82.9 MiB/s | 424.2 KiB | 00m00s [165/185] gdb-minimal-0:17.1-5.fc45.aar 100% | 166.8 MiB/s | 4.3 MiB | 00m00s [166/185] libbrotli-0:1.2.0-3.fc44.aarc 100% | 42.6 MiB/s | 348.7 KiB | 00m00s [167/185] krb5-libs-0:1.22.2-2.fc45.aar 100% | 57.2 MiB/s | 761.4 KiB | 00m00s [168/185] libnghttp2-0:1.68.0-3.fc44.aa 100% | 14.6 MiB/s | 74.7 KiB | 00m00s [169/185] libnghttp3-0:1.15.0-1.fc44.aa 100% | 13.4 MiB/s | 68.8 KiB | 00m00s [170/185] libpsl-0:0.21.5-7.fc44.aarch6 100% | 12.7 MiB/s | 64.9 KiB | 00m00s [171/185] libssh-0:0.12.0-1.fc45.aarch6 100% | 53.7 MiB/s | 274.8 KiB | 00m00s [172/185] ngtcp2-crypto-ossl-0:1.21.0-1 100% | 12.6 MiB/s | 25.8 KiB | 00m00s [173/185] ngtcp2-0:1.21.0-1.fc45.aarch6 100% | 35.6 MiB/s | 145.9 KiB | 00m00s [174/185] keyutils-libs-0:1.6.3-7.fc44. 100% | 15.4 MiB/s | 31.5 KiB | 00m00s [175/185] libcom_err-0:1.47.4-1.fc45.aa 100% | 13.0 MiB/s | 26.7 KiB | 00m00s [176/185] libverto-0:0.3.2-12.fc44.aarc 100% | 4.0 MiB/s | 20.5 KiB | 00m00s [177/185] libfido2-0:1.16.0-5.fc44.aarc 100% | 15.7 MiB/s | 96.2 KiB | 00m00s [178/185] publicsuffix-list-dafsa-0:202 100% | 8.4 MiB/s | 60.3 KiB | 00m00s [179/185] libcbor-0:0.13.0-2.fc44.aarch 100% | 11.2 MiB/s | 34.4 KiB | 00m00s [180/185] policycoreutils-0:3.10-2.fc45 100% | 25.3 MiB/s | 259.5 KiB | 00m00s [181/185] selinux-policy-0:43.1-1.fc45. 100% | 13.8 MiB/s | 70.4 KiB | 00m00s [182/185] libssh-config-0:0.12.0-1.fc45 100% | 376.8 KiB/s | 9.4 KiB | 00m00s [183/185] selinux-policy-targeted-0:43. 100% | 219.9 MiB/s | 6.8 MiB | 00m00s [184/185] rpm-plugin-selinux-0:6.0.1-5. 100% | 2.1 MiB/s | 19.2 KiB | 00m00s [185/185] libselinux-utils-0:3.10-1.fc4 100% | 9.9 MiB/s | 122.2 KiB | 00m00s -------------------------------------------------------------------------------- [185/185] Total 100% | 84.8 MiB/s | 67.2 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. 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. Importing OpenPGP key 0x6D9F90A6: UserID : "Fedora (44) " Fingerprint: 36F612DCF27F7D1A48A835E4DBFCF71C6D9F90A6 From : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-44-primary The key was successfully imported. Importing OpenPGP key 0x91211FCE: UserID : "Fedora (46) " Fingerprint: D924B10D3E810DABDD8B56B596E7E91491211FCE From : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-46-primary The key was successfully imported. [ 1/187] Verify package files 100% | 737.0 B/s | 185.0 B | 00m00s [ 2/187] Prepare transaction 100% | 2.2 KiB/s | 185.0 B | 00m00s [ 3/187] Installing libgcc-0:16.0.1-0. 100% | 109.4 MiB/s | 224.0 KiB | 00m00s [ 4/187] Installing libssh-config-0:0. 100% | 0.0 B/s | 816.0 B | 00m00s [ 5/187] Installing publicsuffix-list- 100% | 69.4 MiB/s | 71.1 KiB | 00m00s [ 6/187] Installing fedora-release-ide 100% | 898.4 KiB/s | 920.0 B | 00m00s [ 7/187] Installing fedora-gpg-keys-0: 100% | 29.6 MiB/s | 182.1 KiB | 00m00s [ 8/187] Installing fedora-repos-rawhi 100% | 0.0 B/s | 2.4 KiB | 00m00s [ 9/187] Installing fedora-repos-0:45- 100% | 0.0 B/s | 5.7 KiB | 00m00s [ 10/187] Installing fedora-release-com 100% | 24.3 MiB/s | 24.9 KiB | 00m00s [ 11/187] Installing fedora-release-0:4 100% | 17.3 KiB/s | 124.0 B | 00m00s >>> Running sysusers scriptlet: setup-0:2.15.0-29.fc45.noarch >>> Finished sysusers scriptlet: setup-0:2.15.0-29.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. >>> [ 12/187] Installing setup-0:2.15.0-29. 100% | 28.5 MiB/s | 730.6 KiB | 00m00s >>> [RPM] /etc/hosts created as /etc/hosts.rpmnew [ 13/187] Installing filesystem-0:3.18- 100% | 1.9 MiB/s | 289.4 KiB | 00m00s [ 14/187] Installing pkgconf-m4-0:2.5.1 100% | 14.4 MiB/s | 14.7 KiB | 00m00s [ 15/187] Installing pcre2-syntax-0:10. 100% | 138.8 MiB/s | 284.3 KiB | 00m00s [ 16/187] Installing gnulib-l10n-0:2024 100% | 129.3 MiB/s | 661.9 KiB | 00m00s [ 17/187] Installing coreutils-common-0 100% | 305.3 MiB/s | 10.7 MiB | 00m00s [ 18/187] Installing ncurses-base-0:6.6 100% | 49.6 MiB/s | 355.3 KiB | 00m00s [ 19/187] Installing bash-0:5.3.9-3.fc4 100% | 183.3 MiB/s | 8.4 MiB | 00m00s [ 20/187] Installing glibc-common-0:2.4 100% | 45.8 MiB/s | 1.3 MiB | 00m00s [ 21/187] Installing glibc-gconv-extra- 100% | 381.3 MiB/s | 18.7 MiB | 00m00s [ 22/187] Installing glibc-0:2.43.9000- 100% | 130.4 MiB/s | 6.4 MiB | 00m00s [ 23/187] Installing ncurses-libs-0:6.6 100% | 249.2 MiB/s | 1.2 MiB | 00m00s [ 24/187] Installing glibc-minimal-lang 100% | 0.0 B/s | 124.0 B | 00m00s [ 25/187] Installing zlib-ng-compat-0:2 100% | 131.0 MiB/s | 134.1 KiB | 00m00s [ 26/187] Installing bzip2-libs-0:1.0.8 100% | 71.9 MiB/s | 73.6 KiB | 00m00s [ 27/187] Installing libgpg-error-0:1.5 100% | 36.2 MiB/s | 1.0 MiB | 00m00s [ 28/187] Installing libstdc++-0:16.0.1 100% | 315.9 MiB/s | 2.8 MiB | 00m00s [ 29/187] Installing libassuan-0:2.5.7- 100% | 212.6 MiB/s | 217.7 KiB | 00m00s [ 30/187] Installing libgcrypt-0:1.12.1 100% | 239.9 MiB/s | 1.2 MiB | 00m00s [ 31/187] Installing readline-0:8.3-4.f 100% | 276.2 MiB/s | 565.6 KiB | 00m00s [ 32/187] Installing gmp-1:6.3.0-5.fc44 100% | 214.9 MiB/s | 660.1 KiB | 00m00s [ 33/187] Installing libuuid-0:2.41.3-1 100% | 68.6 MiB/s | 70.3 KiB | 00m00s [ 34/187] Installing xz-libs-1:5.8.2-2. 100% | 260.2 MiB/s | 266.5 KiB | 00m00s [ 35/187] Installing systemd-libs-0:260 100% | 315.9 MiB/s | 2.5 MiB | 00m00s [ 36/187] Installing popt-0:1.19-10.fc4 100% | 36.9 MiB/s | 151.3 KiB | 00m00s [ 37/187] Installing libzstd-0:1.5.7-5. 100% | 280.4 MiB/s | 861.5 KiB | 00m00s [ 38/187] Installing elfutils-libelf-0: 100% | 286.1 MiB/s | 1.1 MiB | 00m00s [ 39/187] Installing npth-0:1.8-4.fc44. 100% | 92.2 MiB/s | 94.4 KiB | 00m00s [ 40/187] Installing libblkid-0:2.41.3- 100% | 142.3 MiB/s | 291.4 KiB | 00m00s [ 41/187] Installing libsepol-0:3.10-1. 100% | 264.0 MiB/s | 810.9 KiB | 00m00s [ 42/187] Installing sqlite-libs-0:3.52 100% | 261.3 MiB/s | 1.6 MiB | 00m00s [ 43/187] Installing gnupg2-gpgconf-0:2 100% | 13.7 MiB/s | 323.7 KiB | 00m00s [ 44/187] Installing libattr-0:2.5.2-8. 100% | 67.6 MiB/s | 69.3 KiB | 00m00s [ 45/187] Installing libacl-0:2.3.2-6.f 100% | 67.0 MiB/s | 68.6 KiB | 00m00s [ 46/187] Installing pcre2-0:10.47-1.fc 100% | 233.0 MiB/s | 715.7 KiB | 00m00s [ 47/187] Installing libselinux-0:3.10- 100% | 197.5 MiB/s | 202.2 KiB | 00m00s [ 48/187] Installing grep-0:3.12-3.fc44 100% | 35.8 MiB/s | 1.0 MiB | 00m00s [ 49/187] Installing sed-0:4.9-8.fc45.a 100% | 30.7 MiB/s | 881.3 KiB | 00m00s [ 50/187] Installing findutils-1:4.10.0 100% | 64.0 MiB/s | 1.9 MiB | 00m00s [ 51/187] Installing libxcrypt-0:4.5.2- 100% | 134.7 MiB/s | 275.9 KiB | 00m00s [ 52/187] Installing libtasn1-0:4.21.0- 100% | 217.3 MiB/s | 222.5 KiB | 00m00s [ 53/187] Installing libunistring-0:1.1 100% | 291.0 MiB/s | 1.7 MiB | 00m00s [ 54/187] Installing libidn2-0:2.3.8-3. 100% | 55.3 MiB/s | 566.6 KiB | 00m00s [ 55/187] Installing crypto-policies-0: 100% | 19.2 MiB/s | 157.7 KiB | 00m00s [ 56/187] Installing xz-1:5.8.2-2.fc44. 100% | 46.7 MiB/s | 1.4 MiB | 00m00s [ 57/187] Installing libmount-0:2.41.3- 100% | 205.7 MiB/s | 421.2 KiB | 00m00s [ 58/187] Installing gnupg2-verify-0:2. 100% | 14.9 MiB/s | 365.7 KiB | 00m00s [ 59/187] Installing dwz-0:0.16-3.fc44. 100% | 13.2 MiB/s | 323.8 KiB | 00m00s [ 60/187] Installing mpfr-0:4.2.2-3.fc4 100% | 184.8 MiB/s | 757.1 KiB | 00m00s [ 61/187] Installing gawk-0:5.4.0-2.fc4 100% | 91.0 MiB/s | 2.9 MiB | 00m00s [ 62/187] Installing libksba-0:1.6.8-1. 100% | 197.4 MiB/s | 404.3 KiB | 00m00s [ 63/187] Installing unzip-0:6.0-69.fc4 100% | 21.9 MiB/s | 537.3 KiB | 00m00s [ 64/187] Installing file-libs-0:5.47-1 100% | 642.4 MiB/s | 12.2 MiB | 00m00s [ 65/187] Installing file-0:5.47-1.fc45 100% | 6.1 MiB/s | 142.7 KiB | 00m00s [ 66/187] Installing diffutils-0:3.12-5 100% | 54.1 MiB/s | 1.6 MiB | 00m00s [ 67/187] Installing libeconf-0:0.7.9-3 100% | 80.5 MiB/s | 82.5 KiB | 00m00s [ 68/187] Installing libcap-ng-0:0.9.1- 100% | 158.7 MiB/s | 162.5 KiB | 00m00s [ 69/187] Installing audit-libs-0:4.1.3 100% | 238.8 MiB/s | 489.1 KiB | 00m00s [ 70/187] Installing pam-libs-0:1.7.2-1 100% | 109.8 MiB/s | 225.0 KiB | 00m00s [ 71/187] Installing libcap-0:2.77-2.fc 100% | 20.0 MiB/s | 513.1 KiB | 00m00s [ 72/187] Installing libsemanage-0:3.10 100% | 176.6 MiB/s | 361.7 KiB | 00m00s [ 73/187] Installing libsmartcols-0:2.4 100% | 220.2 MiB/s | 225.5 KiB | 00m00s [ 74/187] Installing alternatives-0:1.3 100% | 4.1 MiB/s | 91.6 KiB | 00m00s [ 75/187] Installing lua-libs-0:5.5.0-1 100% | 161.8 MiB/s | 331.4 KiB | 00m00s [ 76/187] Installing libffi-0:3.5.2-2.f 100% | 153.4 MiB/s | 157.1 KiB | 00m00s [ 77/187] Installing p11-kit-0:0.26.2-1 100% | 78.9 MiB/s | 2.8 MiB | 00m00s [ 78/187] Installing p11-kit-trust-0:0. 100% | 16.8 MiB/s | 531.8 KiB | 00m00s [ 79/187] Installing json-c-0:0.18-8.fc 100% | 136.5 MiB/s | 139.7 KiB | 00m00s [ 80/187] Installing ngtcp2-0:1.21.0-1. 100% | 111.5 MiB/s | 342.7 KiB | 00m00s [ 81/187] Installing openssl-libs-1:3.5 100% | 322.7 MiB/s | 7.4 MiB | 00m00s [ 82/187] Installing coreutils-0:9.10-3 100% | 164.2 MiB/s | 8.2 MiB | 00m00s [ 83/187] Installing ca-certificates-0: 100% | 1.6 MiB/s | 2.5 MiB | 00m02s [ 84/187] Installing gzip-0:1.14-2.fc44 100% | 16.6 MiB/s | 443.0 KiB | 00m00s [ 85/187] Installing rpm-sequoia-0:1.10 100% | 279.1 MiB/s | 2.2 MiB | 00m00s [ 86/187] Installing libfsverity-0:1.7- 100% | 67.6 MiB/s | 69.3 KiB | 00m00s [ 87/187] Installing libevent-0:2.1.12- 100% | 271.2 MiB/s | 1.1 MiB | 00m00s [ 88/187] Installing systemd-standalone 100% | 33.1 MiB/s | 848.4 KiB | 00m00s [ 89/187] Installing rpm-libs-0:6.0.1-5 100% | 243.3 MiB/s | 996.4 KiB | 00m00s [ 90/187] Installing ngtcp2-crypto-ossl 100% | 66.8 MiB/s | 68.4 KiB | 00m00s [ 91/187] Installing util-linux-core-0: 100% | 75.0 MiB/s | 2.4 MiB | 00m00s [ 92/187] Installing zip-0:3.0-45.fc44. 100% | 29.9 MiB/s | 765.8 KiB | 00m00s [ 93/187] Installing gnupg2-keyboxd-0:2 100% | 38.2 MiB/s | 234.5 KiB | 00m00s [ 94/187] Installing libpsl-0:0.21.5-7. 100% | 130.3 MiB/s | 133.4 KiB | 00m00s [ 95/187] Installing tar-2:1.35-8.fc44. 100% | 88.4 MiB/s | 3.0 MiB | 00m00s [ 96/187] Installing linkdupes-0:0.7.3- 100% | 27.9 MiB/s | 715.2 KiB | 00m00s [ 97/187] Installing libselinux-utils-0 100% | 50.2 MiB/s | 1.4 MiB | 00m00s [ 98/187] Installing liblastlog2-0:2.41 100% | 22.7 MiB/s | 139.6 KiB | 00m00s [ 99/187] Installing libfdisk-0:2.41.3- 100% | 136.6 MiB/s | 419.7 KiB | 00m00s [100/187] Installing util-linux-0:2.41. 100% | 118.2 MiB/s | 6.9 MiB | 00m00s [101/187] Installing policycoreutils-0: 100% | 37.3 MiB/s | 1.5 MiB | 00m00s [102/187] Installing selinux-policy-0:4 100% | 1.6 MiB/s | 33.6 KiB | 00m00s [103/187] Installing selinux-policy-tar 100% | 124.2 MiB/s | 14.8 MiB | 00m00s [104/187] Installing zstd-0:1.5.7-5.fc4 100% | 22.1 MiB/s | 565.8 KiB | 00m00s [105/187] Installing libusb1-0:1.0.29-5 100% | 19.6 MiB/s | 180.5 KiB | 00m00s >>> Running sysusers scriptlet: tpm2-tss-0:4.1.3-9.fc44.aarch64 >>> Finished sysusers scriptlet: tpm2-tss-0:4.1.3-9.fc44.aarch64 >>> Scriptlet output: >>> Creating group 'tss' with GID 59. >>> Creating user 'tss' (Account used for TPM access) with UID 59 and GID 59. >>> [106/187] Installing tpm2-tss-0:4.1.3-9 100% | 269.6 MiB/s | 2.2 MiB | 00m00s [107/187] Installing ima-evm-utils-libs 100% | 91.7 MiB/s | 93.9 KiB | 00m00s [108/187] Installing gnupg2-gpg-agent-0 100% | 26.0 MiB/s | 850.6 KiB | 00m00s [109/187] Installing libxml2-0:2.12.10- 100% | 63.1 MiB/s | 1.9 MiB | 00m00s [110/187] Installing nettle-0:3.10.1-3. 100% | 187.5 MiB/s | 768.2 KiB | 00m00s [111/187] Installing gnutls-0:3.8.12-1. 100% | 303.0 MiB/s | 3.6 MiB | 00m00s [112/187] Installing bzip2-0:1.0.8-23.f 100% | 7.1 MiB/s | 175.6 KiB | 00m00s [113/187] Installing add-determinism-0: 100% | 70.4 MiB/s | 2.0 MiB | 00m00s [114/187] Installing build-reproducibil 100% | 1.5 MiB/s | 1.5 KiB | 00m00s [115/187] Installing cpio-0:2.15-9.fc44 100% | 39.1 MiB/s | 1.1 MiB | 00m00s [116/187] Installing ed-0:1.22.5-2.fc45 100% | 6.5 MiB/s | 159.9 KiB | 00m00s [117/187] Installing patch-0:2.8-4.fc44 100% | 10.7 MiB/s | 263.9 KiB | 00m00s [118/187] Installing jansson-0:2.14-4.f 100% | 92.2 MiB/s | 94.4 KiB | 00m00s [119/187] Installing lz4-libs-0:1.10.0- 100% | 193.7 MiB/s | 198.4 KiB | 00m00s [120/187] Installing libarchive-0:3.8.6 100% | 238.6 MiB/s | 977.2 KiB | 00m00s [121/187] Installing libgomp-0:16.0.1-0 100% | 289.8 MiB/s | 593.5 KiB | 00m00s [122/187] Installing libpkgconf-0:2.5.1 100% | 131.9 MiB/s | 135.1 KiB | 00m00s [123/187] Installing pkgconf-0:2.5.1-1. 100% | 5.1 MiB/s | 119.2 KiB | 00m00s [124/187] Installing pkgconf-pkg-config 100% | 80.6 KiB/s | 1.8 KiB | 00m00s [125/187] Installing libtool-ltdl-0:2.5 100% | 92.8 MiB/s | 95.0 KiB | 00m00s [126/187] Installing gdbm-libs-1:1.23-1 100% | 229.9 MiB/s | 235.4 KiB | 00m00s [127/187] Installing cyrus-sasl-lib-0:2 100% | 80.5 MiB/s | 2.4 MiB | 00m00s [128/187] Installing openldap-0:2.6.13- 100% | 187.5 MiB/s | 768.0 KiB | 00m00s [129/187] Installing gnupg2-dirmngr-0:2 100% | 21.1 MiB/s | 648.7 KiB | 00m00s [130/187] Installing gnupg2-0:2.4.9-5.f 100% | 146.8 MiB/s | 6.5 MiB | 00m00s [131/187] Installing rpm-sign-libs-0:6. 100% | 66.8 MiB/s | 68.4 KiB | 00m00s [132/187] Installing gpgverify-0:2.2-4. 100% | 9.2 MiB/s | 9.4 KiB | 00m00s [133/187] Installing xxhash-libs-0:0.8. 100% | 85.1 MiB/s | 87.2 KiB | 00m00s [134/187] Installing libbrotli-0:1.2.0- 100% | 222.5 MiB/s | 911.3 KiB | 00m00s [135/187] Installing libnghttp2-0:1.68. 100% | 194.3 MiB/s | 199.0 KiB | 00m00s 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MiB/s | 41.2 KiB | 00m00s [149/187] Installing java-srpm-macros-0 100% | 0.0 B/s | 1.1 KiB | 00m00s [150/187] Installing lua-srpm-macros-0: 100% | 0.0 B/s | 1.9 KiB | 00m00s [151/187] Installing tree-sitter-srpm-m 100% | 9.1 MiB/s | 9.3 KiB | 00m00s [152/187] Installing zig-srpm-macros-0: 100% | 0.0 B/s | 1.9 KiB | 00m00s [153/187] Installing filesystem-srpm-ma 100% | 38.0 MiB/s | 38.9 KiB | 00m00s [154/187] Installing elfutils-default-y 100% | 510.7 KiB/s | 2.0 KiB | 00m00s [155/187] Installing elfutils-libs-0:0. 100% | 243.5 MiB/s | 748.1 KiB | 00m00s [156/187] Installing elfutils-debuginfo 100% | 5.7 MiB/s | 145.9 KiB | 00m00s [157/187] Installing binutils-0:2.46.50 100% | 289.0 MiB/s | 31.5 MiB | 00m00s [158/187] Installing elfutils-0:0.194-5 100% | 98.9 MiB/s | 3.3 MiB | 00m00s [159/187] Installing gdb-minimal-0:17.1 100% | 225.6 MiB/s | 13.5 MiB | 00m00s [160/187] Installing debugedit-0:5.3-2. 100% | 12.7 MiB/s | 324.2 KiB | 00m00s [161/187] Installing rpm-build-libs-0:6 100% | 129.3 MiB/s | 264.8 KiB | 00m00s [162/187] Installing rust-srpm-macros-0 100% | 6.2 MiB/s | 6.4 KiB | 00m00s [163/187] Installing qt6-srpm-macros-0: 100% | 0.0 B/s | 748.0 B | 00m00s [164/187] Installing qt5-srpm-macros-0: 100% | 0.0 B/s | 776.0 B | 00m00s [165/187] Installing perl-srpm-macros-0 100% | 0.0 B/s | 1.1 KiB | 00m00s [166/187] Installing package-notes-srpm 100% | 0.0 B/s | 2.1 KiB | 00m00s [167/187] Installing openblas-srpm-macr 100% | 0.0 B/s | 392.0 B | 00m00s [168/187] Installing ocaml-srpm-macros- 100% | 0.0 B/s | 2.1 KiB | 00m00s [169/187] Installing kernel-srpm-macros 100% | 0.0 B/s | 2.3 KiB | 00m00s [170/187] Installing gnat-srpm-macros-0 100% | 0.0 B/s | 1.3 KiB | 00m00s [171/187] Installing ghc-srpm-macros-0: 100% | 0.0 B/s | 1.0 KiB | 00m00s [172/187] Installing gap-srpm-macros-0: 100% | 449.9 KiB/s | 2.7 KiB | 00m00s [173/187] Installing fpc-srpm-macros-0: 100% | 0.0 B/s | 420.0 B | 00m00s [174/187] Installing ansible-srpm-macro 100% | 35.4 MiB/s | 36.2 KiB | 00m00s [175/187] Installing redhat-rpm-config- 100% | 61.8 MiB/s | 189.9 KiB | 00m00s [176/187] Installing forge-srpm-macros- 100% | 39.3 MiB/s | 40.3 KiB | 00m00s [177/187] Installing rpm-build-0:6.0.1- 100% | 22.8 MiB/s | 606.9 KiB | 00m00s [178/187] Installing erlang-srpm-macros 100% | 2.4 MiB/s | 2.5 KiB | 00m00s [179/187] Installing pyproject-srpm-mac 100% | 0.0 B/s | 2.5 KiB | 00m00s [180/187] Installing fonts-srpm-macros- 100% | 55.7 MiB/s | 57.0 KiB | 00m00s [181/187] Installing go-srpm-macros-0:3 100% | 61.6 MiB/s | 63.0 KiB | 00m00s [182/187] Installing R-srpm-macros-0:1. 100% | 4.3 MiB/s | 4.4 KiB | 00m00s [183/187] Installing python-srpm-macros 100% | 51.7 MiB/s | 52.9 KiB | 00m00s [184/187] Installing rpm-plugin-selinux 100% | 67.2 MiB/s | 68.8 KiB | 00m00s [185/187] Installing which-0:2.23-4.fc4 100% | 5.1 MiB/s | 125.5 KiB | 00m00s [186/187] Installing shadow-utils-2:4.1 100% | 89.8 MiB/s | 4.5 MiB | 00m00s [187/187] Installing info-0:7.3-1.fc45. 100% | 52.6 KiB/s | 424.7 KiB | 00m08s 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-1.3.5-1.fc45.noarch add-determinism-0.7.3-1.fc45.aarch64 alternatives-1.33-5.fc44.aarch64 ansible-srpm-macros-1-20.1.fc44.noarch audit-libs-4.1.3-1.fc44.aarch64 bash-5.3.9-3.fc44.aarch64 binutils-2.46.50-3.fc45.aarch64 build-reproducibility-srpm-macros-0.7.3-1.fc45.noarch bzip2-1.0.8-23.fc44.aarch64 bzip2-libs-1.0.8-23.fc44.aarch64 ca-certificates-2025.2.80_v9.0.304-6.fc45.noarch cmake-srpm-macros-4.2.3-2.fc45.noarch coreutils-9.10-3.fc45.aarch64 coreutils-common-9.10-3.fc45.aarch64 cpio-2.15-9.fc44.aarch64 crypto-policies-20251128-3.git19878fe.fc44.noarch curl-8.19.0-1.fc45.aarch64 cyrus-sasl-lib-2.1.28-35.fc44.aarch64 debugedit-5.3-2.fc45.aarch64 diffutils-3.12-5.fc44.aarch64 dwz-0.16-3.fc44.aarch64 ed-1.22.5-2.fc45.aarch64 efi-srpm-macros-6-6.fc44.noarch elfutils-0.194-5.fc45.aarch64 elfutils-debuginfod-client-0.194-5.fc45.aarch64 elfutils-default-yama-scope-0.194-5.fc45.noarch elfutils-libelf-0.194-5.fc45.aarch64 elfutils-libs-0.194-5.fc45.aarch64 erlang-srpm-macros-0.3.11-1.fc45.noarch fedora-gpg-keys-45-0.1.noarch fedora-release-45-0.2.noarch fedora-release-common-45-0.2.noarch fedora-release-identity-basic-45-0.2.noarch fedora-repos-45-0.1.noarch fedora-repos-rawhide-45-0.1.noarch file-5.47-1.fc45.aarch64 file-libs-5.47-1.fc45.aarch64 filesystem-3.18-56.fc45.aarch64 filesystem-srpm-macros-3.18-56.fc45.noarch findutils-4.10.0-7.fc44.aarch64 fonts-srpm-macros-5.0.0-3.fc45.noarch forge-srpm-macros-0.4.0-4.fc44.noarch fpc-srpm-macros-1.3-16.fc44.noarch gap-srpm-macros-2-2.fc44.noarch gawk-5.4.0-2.fc45.aarch64 gdb-minimal-17.1-5.fc45.aarch64 gdbm-libs-1.23-11.fc44.aarch64 ghc-srpm-macros-1.10-1.fc44.noarch glibc-2.43.9000-4.fc45.aarch64 glibc-common-2.43.9000-4.fc45.aarch64 glibc-gconv-extra-2.43.9000-4.fc45.aarch64 glibc-minimal-langpack-2.43.9000-4.fc45.aarch64 gmp-6.3.0-5.fc44.aarch64 gnat-srpm-macros-7-2.fc44.noarch gnulib-l10n-20241231-2.fc44.noarch gnupg2-2.4.9-5.fc44.aarch64 gnupg2-dirmngr-2.4.9-5.fc44.aarch64 gnupg2-gpg-agent-2.4.9-5.fc44.aarch64 gnupg2-gpgconf-2.4.9-5.fc44.aarch64 gnupg2-keyboxd-2.4.9-5.fc44.aarch64 gnupg2-verify-2.4.9-5.fc44.aarch64 gnutls-3.8.12-1.fc45.aarch64 go-srpm-macros-3.8.0-2.fc44.noarch gpg-pubkey-36f612dcf27f7d1a48a835e4dbfcf71c6d9f90a6-6786af3b gpg-pubkey-4f50a6114cd5c6976a7f1179655a4b02f577861e-6888bc98 gpg-pubkey-d924b10d3e810dabdd8b56b596e7e91491211fce-697c9899 gpgverify-2.2-4.fc44.noarch grep-3.12-3.fc44.aarch64 gzip-1.14-2.fc44.aarch64 ima-evm-utils-libs-1.6.2-10.fc45.aarch64 info-7.3-1.fc45.aarch64 jansson-2.14-4.fc44.aarch64 java-srpm-macros-1-8.fc44.noarch json-c-0.18-8.fc44.aarch64 kernel-srpm-macros-1.0-28.fc44.noarch keyutils-libs-1.6.3-7.fc44.aarch64 krb5-libs-1.22.2-2.fc45.aarch64 libacl-2.3.2-6.fc44.aarch64 libarchive-3.8.6-1.fc45.aarch64 libassuan-2.5.7-5.fc44.aarch64 libattr-2.5.2-8.fc44.aarch64 libblkid-2.41.3-12.fc44.aarch64 libbrotli-1.2.0-3.fc44.aarch64 libcap-2.77-2.fc44.aarch64 libcap-ng-0.9.1-1.fc45.aarch64 libcbor-0.13.0-2.fc44.aarch64 libcom_err-1.47.4-1.fc45.aarch64 libcurl-8.19.0-1.fc45.aarch64 libeconf-0.7.9-3.fc44.aarch64 libevent-2.1.12-17.fc44.aarch64 libfdisk-2.41.3-12.fc44.aarch64 libffi-3.5.2-2.fc44.aarch64 libfido2-1.16.0-5.fc44.aarch64 libfsverity-1.7-1.fc45.aarch64 libgcc-16.0.1-0.9.fc45.aarch64 libgcrypt-1.12.1-1.fc45.aarch64 libgomp-16.0.1-0.9.fc45.aarch64 libgpg-error-1.59-1.fc45.aarch64 libidn2-2.3.8-3.fc44.aarch64 libksba-1.6.8-1.fc45.aarch64 liblastlog2-2.41.3-12.fc44.aarch64 libmount-2.41.3-12.fc44.aarch64 libnghttp2-1.68.0-3.fc44.aarch64 libnghttp3-1.15.0-1.fc44.aarch64 libpkgconf-2.5.1-1.fc45.aarch64 libpsl-0.21.5-7.fc44.aarch64 libselinux-3.10-1.fc44.aarch64 libselinux-utils-3.10-1.fc44.aarch64 libsemanage-3.10-1.fc44.aarch64 libsepol-3.10-1.fc44.aarch64 libsmartcols-2.41.3-12.fc44.aarch64 libssh-0.12.0-1.fc45.aarch64 libssh-config-0.12.0-1.fc45.noarch libstdc++-16.0.1-0.9.fc45.aarch64 libtasn1-4.21.0-1.fc45.aarch64 libtool-ltdl-2.5.4-10.fc44.aarch64 libunistring-1.1-11.fc44.aarch64 libusb1-1.0.29-5.fc44.aarch64 libuuid-2.41.3-12.fc44.aarch64 libverto-0.3.2-12.fc44.aarch64 libxcrypt-4.5.2-3.fc44.aarch64 libxml2-2.12.10-6.fc44.aarch64 libzstd-1.5.7-5.fc44.aarch64 linkdupes-0.7.3-1.fc45.aarch64 lua-libs-5.5.0-1.fc45.aarch64 lua-srpm-macros-1-17.fc44.noarch lz4-libs-1.10.0-4.fc44.aarch64 mpfr-4.2.2-3.fc44.aarch64 ncurses-base-6.6-1.fc44.noarch ncurses-libs-6.6-1.fc44.aarch64 nettle-3.10.1-3.fc44.aarch64 ngtcp2-1.21.0-1.fc45.aarch64 ngtcp2-crypto-ossl-1.21.0-1.fc45.aarch64 npth-1.8-4.fc44.aarch64 ocaml-srpm-macros-11-3.fc44.noarch openblas-srpm-macros-2-21.fc44.noarch openldap-2.6.13-1.fc45.aarch64 openssl-libs-3.5.5-1.fc44.aarch64 p11-kit-0.26.2-1.fc45.aarch64 p11-kit-trust-0.26.2-1.fc45.aarch64 package-notes-srpm-macros-0.17-3.fc45.noarch pam-libs-1.7.2-1.fc44.aarch64 patch-2.8-4.fc44.aarch64 pcre2-10.47-1.fc44.1.aarch64 pcre2-syntax-10.47-1.fc44.1.noarch perl-srpm-macros-1-61.fc44.noarch pkgconf-2.5.1-1.fc45.aarch64 pkgconf-m4-2.5.1-1.fc45.noarch pkgconf-pkg-config-2.5.1-1.fc45.aarch64 policycoreutils-3.10-2.fc45.aarch64 popt-1.19-10.fc44.aarch64 publicsuffix-list-dafsa-20260116-1.fc44.noarch pyproject-srpm-macros-1.18.7-1.fc45.noarch python-srpm-macros-3.14-11.fc45.noarch qt5-srpm-macros-5.15.18-2.fc44.noarch qt6-srpm-macros-6.10.2-1.fc45.noarch readline-8.3-4.fc44.aarch64 redhat-rpm-config-344-1.fc45.noarch rpm-6.0.1-5.fc45.aarch64 rpm-build-6.0.1-5.fc45.aarch64 rpm-build-libs-6.0.1-5.fc45.aarch64 rpm-libs-6.0.1-5.fc45.aarch64 rpm-plugin-selinux-6.0.1-5.fc45.aarch64 rpm-sequoia-1.10.1-1.fc45.aarch64 rpm-sign-libs-6.0.1-5.fc45.aarch64 rust-srpm-macros-28.4-3.fc44.noarch sed-4.9-8.fc45.aarch64 selinux-policy-43.1-1.fc45.noarch selinux-policy-targeted-43.1-1.fc45.noarch setup-2.15.0-29.fc45.noarch shadow-utils-4.19.3-1.fc45.aarch64 sqlite-libs-3.52.0-1.fc45.aarch64 systemd-libs-260-1.fc45.aarch64 systemd-standalone-sysusers-260-1.fc45.aarch64 tar-1.35-8.fc44.aarch64 tpm2-tss-4.1.3-9.fc44.aarch64 tree-sitter-srpm-macros-0.4.2-2.fc44.noarch unzip-6.0-69.fc44.aarch64 util-linux-2.41.3-12.fc44.aarch64 util-linux-core-2.41.3-12.fc44.aarch64 which-2.23-4.fc44.aarch64 xxhash-libs-0.8.3-4.fc44.aarch64 xz-5.8.2-2.fc44.aarch64 xz-libs-5.8.2-2.fc44.aarch64 zig-srpm-macros-1-8.fc44.noarch zip-3.0-45.fc44.aarch64 zlib-ng-compat-2.3.3-5.fc45.aarch64 zstd-1.5.7-5.fc44.aarch64 Start: buildsrpm Start: rpmbuild -bs Building target platforms: aarch64 Building for target aarch64 setting SOURCE_DATE_EPOCH=1773964800 Wrote: /builddir/build/SRPMS/python-scikit-learn-1.8.0-1.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-rawhide-aarch64-1773999075.232124/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-14a75xg4/python-scikit-learn/python-scikit-learn.spec) Config(child) 0 minutes 27 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-1.8.0-1.fc45.src.rpm) Config(fedora-rawhide-aarch64) Start(bootstrap): chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-aarch64-bootstrap-1773999075.232124/root. INFO: reusing tmpfs at /var/lib/mock/fedora-rawhide-aarch64-bootstrap-1773999075.232124/root. INFO: calling preinit hooks INFO: enabled root cache INFO: enabled package manager cache Start(bootstrap): cleaning package manager metadata Finish(bootstrap): cleaning package manager metadata Finish(bootstrap): chroot init Start: chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-aarch64-1773999075.232124/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-6.0.1-5.fc45.aarch64 rpm-sequoia-1.10.1-1.fc45.aarch64 dnf5-5.4.0.0-5.fc45.aarch64 dnf5-plugins-5.4.0.0-5.fc45.aarch64 Finish: chroot init Start: build phase for python-scikit-learn-1.8.0-1.fc45.src.rpm Start: build setup for python-scikit-learn-1.8.0-1.fc45.src.rpm Building target platforms: aarch64 Building for target aarch64 setting SOURCE_DATE_EPOCH=1773964800 Wrote: /builddir/build/SRPMS/python-scikit-learn-1.8.0-1.fc45.src.rpm Updating and loading repositories: fedora 100% | 129.5 KiB/s | 11.7 KiB | 00m00s Copr repository 100% | 63.1 KiB/s | 1.5 KiB | 00m00s Repositories loaded. Package Arch Version Repository Size Installing: gcc aarch64 0:16.0.1-0.9.fc45 fedora 111.7 MiB gcc-c++ aarch64 0:16.0.1-0.9.fc45 fedora 44.7 MiB python3-devel aarch64 0:3.14.3-1.fc45 fedora 1.9 MiB python3-joblib noarch 0:1.5.3-2.fc44 fedora 2.3 MiB python3-psutil aarch64 0:7.2.2-3.fc45 fedora 1.4 MiB python3-pytest noarch 0:8.4.2-3.fc45 fedora 22.5 MiB python3-setuptools noarch 0:80.10.2-3.fc45 fedora 7.5 MiB python3-threadpoolctl noarch 0:3.5.0-11.fc44 fedora 137.4 KiB Installing dependencies: annobin-docs noarch 0:13.07-1.fc45 fedora 99.2 KiB annobin-plugin-gcc aarch64 0:13.07-1.fc45 fedora 709.0 KiB cpp aarch64 0:16.0.1-0.9.fc45 fedora 40.7 MiB expat aarch64 0:2.7.4-1.fc45 fedora 365.3 KiB gcc-plugin-annobin aarch64 0:16.0.1-0.9.fc45 fedora 69.2 KiB glibc-devel aarch64 0:2.43.9000-4.fc45 fedora 2.3 MiB kernel-headers aarch64 0:7.0.0-0.rc4.36.fc45 fedora 6.8 MiB libasan aarch64 0:16.0.1-0.9.fc45 fedora 1.5 MiB libatomic aarch64 0:16.0.1-0.9.fc45 fedora 77.7 KiB libmpc aarch64 0:1.4.0-1.fc45 fedora 217.3 KiB libstdc++-devel aarch64 0:16.0.1-0.9.fc45 fedora 38.0 MiB libubsan aarch64 0:16.0.1-0.9.fc45 fedora 475.9 KiB libxcrypt-devel aarch64 0:4.5.2-3.fc44 fedora 31.0 KiB make aarch64 1:4.4.1-12.fc44 fedora 1.8 MiB mpdecimal aarch64 0:4.0.1-3.fc44 fedora 281.1 KiB pyproject-rpm-macros noarch 0:1.18.7-1.fc45 fedora 115.5 KiB python-pip-wheel noarch 0:26.0.1-2.fc45 fedora 1.2 MiB python-rpm-macros noarch 0:3.14-11.fc45 fedora 28.1 KiB python3 aarch64 0:3.14.3-1.fc45 fedora 84.7 KiB python3-cloudpickle noarch 0:3.1.2-2.fc44 fedora 129.7 KiB python3-iniconfig noarch 0:2.3.0-2.fc44 fedora 49.8 KiB python3-libs aarch64 0:3.14.3-1.fc45 fedora 45.4 MiB python3-packaging noarch 0:26.0-1.fc45 fedora 732.3 KiB python3-pluggy noarch 0:1.6.0-5.fc44 fedora 211.5 KiB python3-pygments noarch 0:2.19.1-9.fc44 fedora 11.3 MiB python3-rpm-generators noarch 0:14-15.fc45 fedora 81.7 KiB python3-rpm-macros noarch 0:3.14-11.fc45 fedora 6.5 KiB tzdata noarch 0:2025c-2.fc44 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, 346 MiB extra will be used (install 346 MiB, remove 0 B). [ 1/36] python3-devel-0:3.14.3-1.fc45.a 100% | 22.5 MiB/s | 437.1 KiB | 00m00s [ 2/36] gcc-c++-0:16.0.1-0.9.fc45.aarch 100% | 175.5 MiB/s | 15.8 MiB | 00m00s [ 3/36] python3-psutil-0:7.2.2-3.fc45.a 100% | 43.5 MiB/s | 267.6 KiB | 00m00s [ 4/36] python3-joblib-0:1.5.3-2.fc44.n 100% | 4.3 MiB/s | 590.6 KiB | 00m00s [ 5/36] python3-setuptools-0:80.10.2-3. 100% | 125.3 MiB/s | 1.8 MiB | 00m00s [ 6/36] gcc-0:16.0.1-0.9.fc45.aarch64 100% | 189.2 MiB/s | 39.7 MiB | 00m00s [ 7/36] python3-pytest-0:8.4.2-3.fc45.n 100% | 19.8 MiB/s | 2.3 MiB | 00m00s [ 8/36] glibc-devel-0:2.43.9000-4.fc45. 100% | 66.6 MiB/s | 613.7 KiB | 00m00s [ 9/36] libasan-0:16.0.1-0.9.fc45.aarch 100% | 54.6 MiB/s | 503.2 KiB | 00m00s [10/36] libatomic-0:16.0.1-0.9.fc45.aar 100% | 6.9 MiB/s | 42.7 KiB | 00m00s [11/36] libmpc-0:1.4.0-1.fc45.aarch64 100% | 18.0 MiB/s | 73.8 KiB | 00m00s [12/36] cpp-0:16.0.1-0.9.fc45.aarch64 100% | 270.9 MiB/s | 13.3 MiB | 00m00s [13/36] python3-threadpoolctl-0:3.5.0-1 100% | 496.1 KiB/s | 45.1 KiB | 00m00s [14/36] libubsan-0:16.0.1-0.9.fc45.aarc 100% | 15.0 MiB/s | 215.1 KiB | 00m00s [15/36] python3-0:3.14.3-1.fc45.aarch64 100% | 4.6 MiB/s | 28.3 KiB | 00m00s [16/36] make-1:4.4.1-12.fc44.aarch64 100% | 47.5 MiB/s | 583.6 KiB | 00m00s [17/36] libstdc++-devel-0:16.0.1-0.9.fc 100% | 150.3 MiB/s | 5.4 MiB | 00m00s [18/36] python3-cloudpickle-0:3.1.2-2.f 100% | 1.8 MiB/s | 48.2 KiB | 00m00s [19/36] python3-iniconfig-0:2.3.0-2.fc4 100% | 5.1 MiB/s | 26.3 KiB | 00m00s [20/36] python3-pluggy-0:1.6.0-5.fc44.n 100% | 6.0 MiB/s | 61.7 KiB | 00m00s [21/36] python3-packaging-0:26.0-1.fc45 100% | 12.9 MiB/s | 185.5 KiB | 00m00s [22/36] python3-libs-0:3.14.3-1.fc45.aa 100% | 156.2 MiB/s | 9.8 MiB | 00m00s [23/36] kernel-headers-0:7.0.0-0.rc4.36 100% | 81.2 MiB/s | 1.7 MiB | 00m00s [24/36] libxcrypt-devel-0:4.5.2-3.fc44. 100% | 7.3 MiB/s | 30.0 KiB | 00m00s [25/36] expat-0:2.7.4-1.fc45.aarch64 100% | 59.5 MiB/s | 121.9 KiB | 00m00s [26/36] mpdecimal-0:4.0.1-3.fc44.aarch6 100% | 46.6 MiB/s | 95.4 KiB | 00m00s [27/36] tzdata-0:2025c-2.fc44.noarch 100% | 139.5 MiB/s | 714.2 KiB | 00m00s [28/36] python-pip-wheel-0:26.0.1-2.fc4 100% | 127.7 MiB/s | 1.1 MiB | 00m00s [29/36] annobin-plugin-gcc-0:13.07-1.fc 100% | 133.4 MiB/s | 683.3 KiB | 00m00s [30/36] gcc-plugin-annobin-0:16.0.1-0.9 100% | 11.2 MiB/s | 45.8 KiB | 00m00s [31/36] annobin-docs-0:13.07-1.fc45.noa 100% | 28.7 MiB/s | 88.3 KiB | 00m00s [32/36] pyproject-rpm-macros-0:1.18.7-1 100% | 21.7 MiB/s | 44.5 KiB | 00m00s [33/36] python-rpm-macros-0:3.14-11.fc4 100% | 6.4 MiB/s | 19.7 KiB | 00m00s [34/36] python3-rpm-generators-0:14-15. 100% | 7.0 MiB/s | 28.5 KiB | 00m00s [35/36] python3-rpm-macros-0:3.14-11.fc 100% | 4.0 MiB/s | 12.2 KiB | 00m00s [36/36] python3-pygments-0:2.19.1-9.fc4 100% | 33.8 MiB/s | 2.7 MiB | 00m00s -------------------------------------------------------------------------------- [36/36] Total 100% | 251.6 MiB/s | 99.1 MiB | 00m00s Running transaction [ 1/38] Verify package files 100% | 115.0 B/s | 36.0 B | 00m00s [ 2/38] Prepare transaction 100% | 467.0 B/s | 36.0 B | 00m00s [ 3/38] Installing python-rpm-macros-0: 100% | 28.3 MiB/s | 29.0 KiB | 00m00s [ 4/38] Installing libmpc-0:1.4.0-1.fc4 100% | 106.9 MiB/s | 219.0 KiB | 00m00s [ 5/38] Installing python3-rpm-macros-0 100% | 0.0 B/s | 6.8 KiB | 00m00s [ 6/38] Installing pyproject-rpm-macros 100% | 114.7 MiB/s | 117.5 KiB | 00m00s [ 7/38] Installing cpp-0:16.0.1-0.9.fc4 100% | 290.7 MiB/s | 40.7 MiB | 00m00s [ 8/38] Installing annobin-docs-0:13.07 100% | 19.6 MiB/s | 100.3 KiB | 00m00s [ 9/38] Installing tzdata-0:2025c-2.fc4 100% | 23.6 MiB/s | 1.5 MiB | 00m00s [10/38] Installing python-pip-wheel-0:2 100% | 611.4 MiB/s | 1.2 MiB | 00m00s [11/38] Installing mpdecimal-0:4.0.1-3. 100% | 138.0 MiB/s | 282.6 KiB | 00m00s [12/38] Installing expat-0:2.7.4-1.fc45 100% | 12.0 MiB/s | 367.4 KiB | 00m00s [13/38] Installing python3-libs-0:3.14. 100% | 251.4 MiB/s | 45.8 MiB | 00m00s [14/38] Installing python3-0:3.14.3-1.f 100% | 3.5 MiB/s | 86.4 KiB | 00m00s [15/38] Installing python3-packaging-0: 100% | 145.6 MiB/s | 745.4 KiB | 00m00s [16/38] Installing python3-rpm-generato 100% | 80.9 MiB/s | 82.9 KiB | 00m00s [17/38] Installing python3-cloudpickle- 100% | 65.2 MiB/s | 133.5 KiB | 00m00s [18/38] Installing python3-iniconfig-0: 100% | 26.4 MiB/s | 54.1 KiB | 00m00s [19/38] Installing python3-pluggy-0:1.6 100% | 42.6 MiB/s | 217.9 KiB | 00m00s [20/38] Installing python3-pygments-0:2 100% | 136.8 MiB/s | 11.5 MiB | 00m00s [21/38] Installing kernel-headers-0:7.0 100% | 126.4 MiB/s | 7.0 MiB | 00m00s [22/38] Installing glibc-devel-0:2.43.9 100% | 102.6 MiB/s | 2.4 MiB | 00m00s [23/38] Installing libxcrypt-devel-0:4. 100% | 10.8 MiB/s | 33.3 KiB | 00m00s [24/38] Installing libstdc++-devel-0:16 100% | 363.5 MiB/s | 38.2 MiB | 00m00s [25/38] Installing make-1:4.4.1-12.fc44 100% | 59.7 MiB/s | 1.9 MiB | 00m00s [26/38] Installing libubsan-0:16.0.1-0. 100% | 232.8 MiB/s | 476.7 KiB | 00m00s [27/38] Installing libatomic-0:16.0.1-0 100% | 76.9 MiB/s | 78.8 KiB | 00m00s [28/38] Installing libasan-0:16.0.1-0.9 100% | 256.9 MiB/s | 1.5 MiB | 00m00s [29/38] Installing gcc-0:16.0.1-0.9.fc4 100% | 342.9 MiB/s | 111.8 MiB | 00m00s [30/38] Installing gcc-c++-0:16.0.1-0.9 100% | 292.0 MiB/s | 44.7 MiB | 00m00s [31/38] Installing annobin-plugin-gcc-0 100% | 49.6 MiB/s | 710.6 KiB | 00m00s [32/38] Installing gcc-plugin-annobin-0 100% | 4.1 MiB/s | 70.8 KiB | 00m00s [33/38] Installing python3-pytest-0:8.4 100% | 238.7 MiB/s | 22.7 MiB | 00m00s [34/38] Installing python3-joblib-0:1.5 100% | 137.1 MiB/s | 2.3 MiB | 00m00s [35/38] Installing python3-devel-0:3.14 100% | 52.6 MiB/s | 2.0 MiB | 00m00s [36/38] Installing python3-psutil-0:7.2 100% | 181.4 MiB/s | 1.5 MiB | 00m00s [37/38] Installing python3-setuptools-0 100% | 147.1 MiB/s | 7.7 MiB | 00m00s [38/38] Installing python3-threadpoolct 100% | 1.1 MiB/s | 139.6 KiB | 00m00s Complete! Building target platforms: aarch64 Building for target aarch64 setting SOURCE_DATE_EPOCH=1773964800 Wrote: /builddir/build/SRPMS/python-scikit-learn-1.8.0-1.fc45.src.rpm Updating and loading repositories: fedora 100% | 18.1 KiB/s | 11.7 KiB | 00m01s Copr repository 100% | 3.9 KiB/s | 1.5 KiB | 00m00s Repositories loaded. Package "gcc-16.0.1-0.9.fc45.aarch64" is already installed. Package "gcc-c++-16.0.1-0.9.fc45.aarch64" is already installed. Package "python3-devel-3.14.3-1.fc45.aarch64" is already installed. Package "python3-joblib-1.5.3-2.fc44.noarch" is already installed. Package "python3-psutil-7.2.2-3.fc45.aarch64" is already installed. Package "python3-pytest-8.4.2-3.fc45.noarch" is already installed. Package "python3-setuptools-80.10.2-3.fc45.noarch" is already installed. Package "python3-threadpoolctl-3.5.0-11.fc44.noarch" is already installed. Nothing to do. Finish: build setup for python-scikit-learn-1.8.0-1.fc45.src.rpm Start: rpmbuild python-scikit-learn-1.8.0-1.fc45.src.rpm Building target platforms: aarch64 Building for target aarch64 setting SOURCE_DATE_EPOCH=1773964800 Executing(%mkbuilddir): /bin/sh -e /var/tmp/rpm-tmp.koeamJ Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.SZSIky + 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/lib/rpm/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|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' + sed -r -i 's/"(meson-python[^"]+.*),<[^"]+"/"\1"/' pyproject.toml + RPM_EC=0 ++ jobs -p + exit 0 Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.QhcxSH + 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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + VALAFLAGS=-g + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-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=py314 + 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-1.8.0-1.fc45.aarch64-pyproject-buildrequires -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>=3.0.9,<3.3.0 Handling numpy from build-system.requires Requirement not satisfied: numpy Handling scipy>=1.10.0,<1.17.0 from build-system.requires Requirement not satisfied: scipy>=1.10.0,<1.17.0 Exiting dependency generation pass: build backend + cat /builddir/build/BUILD/python-scikit-learn-1.8.0-build/python-scikit-learn-1.8.0-1.fc45.aarch64-pyproject-buildrequires + rm -rfv '*.dist-info/' + RPM_EC=0 ++ jobs -p + exit 0 Wrote: /builddir/build/SRPMS/python-scikit-learn-1.8.0-1.fc45.buildreqs.nosrc.rpm INFO: Going to install missing dynamic buildrequires Updating and loading repositories: fedora 100% | 74.3 KiB/s | 11.7 KiB | 00m00s Copr repository 100% | 65.9 KiB/s | 1.5 KiB | 00m00s Repositories loaded. Package "gcc-16.0.1-0.9.fc45.aarch64" is already installed. Package "gcc-c++-16.0.1-0.9.fc45.aarch64" is already installed. Package "pyproject-rpm-macros-1.18.7-1.fc45.noarch" is already installed. Package "python3-devel-3.14.3-1.fc45.aarch64" is already installed. Package "python3-joblib-1.5.3-2.fc44.noarch" is already installed. Package "python3-packaging-26.0-1.fc45.noarch" is already installed. Package "python3-psutil-7.2.2-3.fc45.aarch64" is already installed. Package "python3-pytest-8.4.2-3.fc45.noarch" is already installed. Package "python3-setuptools-80.10.2-3.fc45.noarch" is already installed. Package "python3-threadpoolctl-3.5.0-11.fc44.noarch" is already installed. Package Arch Version Repository Size Installing: python3-cython aarch64 0:3.2.4-3.fc44 fedora 19.0 MiB python3-meson-python noarch 0:0.19.0-1.fc44 fedora 338.2 KiB python3-numpy aarch64 1:2.4.3-1.fc45 fedora 35.9 MiB python3-pip noarch 0:26.0.1-2.fc45 fedora 11.4 MiB python3-scipy aarch64 0:1.16.2-3.fc44 fedora 63.3 MiB Installing dependencies: flexiblas aarch64 0:3.5.0-2.fc44 fedora 38.0 KiB flexiblas-netlib aarch64 0:3.5.0-2.fc44 fedora 14.2 MiB flexiblas-openblas-openmp aarch64 0:3.5.0-2.fc44 fedora 67.2 KiB libgfortran aarch64 0:16.0.1-0.9.fc45 fedora 1.7 MiB meson noarch 0:1.10.2-1.fc45 fedora 13.7 MiB ninja-build aarch64 0:1.13.2-2.fc44 fedora 467.8 KiB openblas aarch64 0:0.3.29-2.fc43 fedora 111.7 KiB openblas-openmp aarch64 0:0.3.29-2.fc43 fedora 20.4 MiB patchelf aarch64 0:0.18.0-9.fc43 fedora 307.0 KiB python3-charset-normalizer noarch 0:3.4.6-1.fc45 fedora 403.5 KiB python3-idna noarch 0:3.11-2.fc44 fedora 738.4 KiB python3-numpy-f2py aarch64 1:2.4.3-1.fc45 fedora 2.1 MiB python3-platformdirs noarch 0:4.9.1-1.fc45 fedora 236.5 KiB python3-pooch noarch 0:1.9.0-1.fc44 fedora 657.1 KiB python3-pyproject-metadata noarch 0:0.11.0-2.fc45 fedora 223.3 KiB python3-requests noarch 0:2.32.5-5.fc45 fedora 476.9 KiB python3-urllib3 noarch 0:2.6.3-2.fc44 fedora 1.1 MiB vim-filesystem noarch 2:9.2.148-1.fc45 fedora 40.0 B Transaction Summary: Installing: 23 packages Total size of inbound packages is 42 MiB. Need to download 42 MiB. After this operation, 187 MiB extra will be used (install 187 MiB, remove 0 B). [ 1/23] python3-cython-0:3.2.4-3.fc44.a 100% | 128.5 MiB/s | 4.0 MiB | 00m00s [ 2/23] python3-scipy-0:1.16.2-3.fc44.a 100% | 139.8 MiB/s | 15.2 MiB | 00m00s [ 3/23] python3-pip-0:26.0.1-2.fc45.noa 100% | 190.4 MiB/s | 2.7 MiB | 00m00s [ 4/23] flexiblas-netlib-0:3.5.0-2.fc44 100% | 222.0 MiB/s | 4.0 MiB | 00m00s [ 5/23] libgfortran-0:16.0.1-0.9.fc45.a 100% | 89.5 MiB/s | 458.2 KiB | 00m00s [ 6/23] python3-meson-python-0:0.19.0-1 100% | 600.8 KiB/s | 95.5 KiB | 00m00s [ 7/23] python3-numpy-1:2.4.3-1.fc45.aa 100% | 43.2 MiB/s | 6.9 MiB | 00m00s [ 8/23] python3-pooch-0:1.9.0-1.fc44.no 100% | 3.4 MiB/s | 146.0 KiB | 00m00s [ 9/23] meson-0:1.10.2-1.fc45.noarch 100% | 192.8 MiB/s | 2.5 MiB | 00m00s [10/23] patchelf-0:0.18.0-9.fc43.aarch6 100% | 4.1 MiB/s | 117.0 KiB | 00m00s [11/23] flexiblas-0:3.5.0-2.fc44.aarch6 100% | 11.2 MiB/s | 23.0 KiB | 00m00s [12/23] flexiblas-openblas-openmp-0:3.5 100% | 5.3 MiB/s | 16.3 KiB | 00m00s [13/23] python3-platformdirs-0:4.9.1-1. 100% | 19.2 MiB/s | 59.1 KiB | 00m00s [14/23] python3-requests-0:2.32.5-5.fc4 100% | 52.1 MiB/s | 160.0 KiB | 00m00s [15/23] ninja-build-0:1.13.2-2.fc44.aar 100% | 29.8 MiB/s | 183.3 KiB | 00m00s [16/23] openblas-openmp-0:0.3.29-2.fc43 100% | 215.3 MiB/s | 3.9 MiB | 00m00s [17/23] python3-charset-normalizer-0:3. 100% | 31.3 MiB/s | 128.3 KiB | 00m00s [18/23] python3-idna-0:3.11-2.fc44.noar 100% | 40.6 MiB/s | 124.7 KiB | 00m00s [19/23] python3-urllib3-0:2.6.3-2.fc44. 100% | 73.7 MiB/s | 301.9 KiB | 00m00s [20/23] vim-filesystem-2:9.2.148-1.fc45 100% | 3.8 MiB/s | 15.7 KiB | 00m00s [21/23] python3-pyproject-metadata-0:0. 100% | 794.4 KiB/s | 66.7 KiB | 00m00s [22/23] openblas-0:0.3.29-2.fc43.aarch6 100% | 13.7 MiB/s | 42.2 KiB | 00m00s [23/23] python3-numpy-f2py-1:2.4.3-1.fc 100% | 3.4 MiB/s | 511.1 KiB | 00m00s -------------------------------------------------------------------------------- [23/23] Total 100% | 139.6 MiB/s | 41.6 MiB | 00m00s Running transaction [ 1/25] Verify package files 100% | 175.0 B/s | 23.0 B | 00m00s [ 2/25] Prepare transaction 100% | 287.0 B/s | 23.0 B | 00m00s [ 3/25] Installing libgfortran-0:16.0.1 100% | 342.3 MiB/s | 1.7 MiB | 00m00s [ 4/25] Installing python3-idna-0:3.11- 100% | 181.9 MiB/s | 744.9 KiB | 00m00s [ 5/25] Installing python3-urllib3-0:2. 100% | 162.5 MiB/s | 1.1 MiB | 00m00s [ 6/25] Installing openblas-0:0.3.29-2. 100% | 110.8 MiB/s | 113.5 KiB | 00m00s [ 7/25] Installing openblas-openmp-0:0. 100% | 453.1 MiB/s | 20.4 MiB | 00m00s [ 8/25] Installing flexiblas-netlib-0:3 100% | 232.7 MiB/s | 14.2 MiB | 00m00s [ 9/25] Installing flexiblas-0:3.5.0-2. 100% | 38.2 MiB/s | 39.2 KiB | 00m00s [10/25] Installing flexiblas-openblas-o 100% | 16.6 MiB/s | 68.0 KiB | 00m00s [11/25] Installing python3-numpy-1:2.4. 100% | 241.4 MiB/s | 36.2 MiB | 00m00s [12/25] Installing python3-numpy-f2py-1 100% | 57.3 MiB/s | 2.2 MiB | 00m00s [13/25] Installing vim-filesystem-2:9.2 100% | 4.7 MiB/s | 4.8 KiB | 00m00s [14/25] Installing ninja-build-0:1.13.2 100% | 17.0 MiB/s | 470.9 KiB | 00m00s [15/25] Installing meson-0:1.10.2-1.fc4 100% | 186.8 MiB/s | 13.8 MiB | 00m00s [16/25] Installing python3-charset-norm 100% | 15.5 MiB/s | 413.6 KiB | 00m00s [17/25] Installing python3-requests-0:2 100% | 119.4 MiB/s | 488.9 KiB | 00m00s [18/25] Installing python3-platformdirs 100% | 118.9 MiB/s | 243.4 KiB | 00m00s [19/25] Installing python3-pooch-0:1.9. 100% | 131.5 MiB/s | 673.1 KiB | 00m00s [20/25] Installing python3-pyproject-me 100% | 111.8 MiB/s | 229.0 KiB | 00m00s [21/25] Installing patchelf-0:0.18.0-9. 100% | 12.6 MiB/s | 308.8 KiB | 00m00s [22/25] Installing python3-meson-python 100% | 42.0 MiB/s | 344.2 KiB | 00m00s [23/25] Installing python3-scipy-0:1.16 100% | 287.2 MiB/s | 63.8 MiB | 00m00s [24/25] Installing python3-pip-0:26.0.1 100% | 119.7 MiB/s | 11.7 MiB | 00m00s [25/25] Installing python3-cython-0:3.2 100% | 160.8 MiB/s | 19.1 MiB | 00m00s Complete! Building target platforms: aarch64 Building for target aarch64 setting SOURCE_DATE_EPOCH=1773964800 Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.gahdg7 + 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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + VALAFLAGS=-g + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-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=py314 + 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-1.8.0-1.fc45.aarch64-pyproject-buildrequires -p Handling meson-python>=0.17.1 from build-system.requires Requirement satisfied: meson-python>=0.17.1 (installed: meson-python 0.19.0) Handling cython>=3.0.9,<3.3.0 from build-system.requires Requirement satisfied: cython>=3.0.9,<3.3.0 (installed: cython 3.2.4) Handling numpy from build-system.requires Requirement satisfied: numpy (installed: numpy 2.4.3) Handling scipy>=1.10.0,<1.17.0 from build-system.requires Requirement satisfied: scipy>=1.10.0,<1.17.0 (installed: scipy 1.16.2) Handling numpy>=1.24.1 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: numpy>=1.24.1 (installed: numpy 2.4.3) Handling scipy>=1.10.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: scipy>=1.10.0 (installed: scipy 1.16.2) Handling joblib>=1.3.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: joblib>=1.3.0 (installed: joblib 1.5.3) 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-1.8.0-1.fc45.aarch64-pyproject-buildrequires + rm -rfv '*.dist-info/' + RPM_EC=0 ++ jobs -p + exit 0 Wrote: /builddir/build/SRPMS/python-scikit-learn-1.8.0-1.fc45.buildreqs.nosrc.rpm INFO: Going to install missing dynamic buildrequires Updating and loading repositories: fedora 100% | 77.7 KiB/s | 11.7 KiB | 00m00s Copr repository 100% | 84.1 KiB/s | 1.5 KiB | 00m00s Repositories loaded. Package "gcc-16.0.1-0.9.fc45.aarch64" is already installed. Package "gcc-c++-16.0.1-0.9.fc45.aarch64" is already installed. Package "pyproject-rpm-macros-1.18.7-1.fc45.noarch" is already installed. Package "python3-devel-3.14.3-1.fc45.aarch64" is already installed. Package "python3-joblib-1.5.3-2.fc44.noarch" is already installed. Package "python3-joblib-1.5.3-2.fc44.noarch" is already installed. Package "python3-meson-python-0.19.0-1.fc44.noarch" is already installed. Package "python3-numpy-1:2.4.3-1.fc45.aarch64" is already installed. Package "python3-numpy-1:2.4.3-1.fc45.aarch64" is already installed. Package "python3-packaging-26.0-1.fc45.noarch" is already installed. Package "python3-pip-26.0.1-2.fc45.noarch" is already installed. Package "python3-psutil-7.2.2-3.fc45.aarch64" is already installed. Package "python3-pytest-8.4.2-3.fc45.noarch" is already installed. Package "python3-scipy-1.16.2-3.fc44.aarch64" is already installed. Package "python3-setuptools-80.10.2-3.fc45.noarch" is already installed. Package "python3-threadpoolctl-3.5.0-11.fc44.noarch" is already installed. Package "python3-threadpoolctl-3.5.0-11.fc44.noarch" is already installed. Nothing to do. Building target platforms: aarch64 Building for target aarch64 setting SOURCE_DATE_EPOCH=1773964800 Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.E3KGvD + 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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + VALAFLAGS=-g + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-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=py314 + 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-1.8.0-1.fc45.aarch64-pyproject-buildrequires -p Handling meson-python>=0.17.1 from build-system.requires Requirement satisfied: meson-python>=0.17.1 (installed: meson-python 0.19.0) Handling cython>=3.0.9,<3.3.0 from build-system.requires Requirement satisfied: cython>=3.0.9,<3.3.0 (installed: cython 3.2.4) Handling numpy from build-system.requires Requirement satisfied: numpy (installed: numpy 2.4.3) Handling scipy>=1.10.0,<1.17.0 from build-system.requires Requirement satisfied: scipy>=1.10.0,<1.17.0 (installed: scipy 1.16.2) Handling numpy>=1.24.1 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: numpy>=1.24.1 (installed: numpy 2.4.3) Handling scipy>=1.10.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: scipy>=1.10.0 (installed: scipy 1.16.2) Handling joblib>=1.3.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: joblib>=1.3.0 (installed: joblib 1.5.3) 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-1.8.0-1.fc45.aarch64-pyproject-buildrequires + rm -rfv '*.dist-info/' + RPM_EC=0 ++ jobs -p + exit 0 Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.gdUVks + 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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + VALAFLAGS=-g + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-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-je_6q9zp -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-je_6q9zp/meson-python-native-file.ini The Meson build system Version: 1.10.2 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-je_6q9zp Build type: native build Project name: scikit-learn Project version: 1.8.0 C compiler for the host machine: gcc (gcc 16.0.1 "gcc (GCC) 16.0.1 20260305 (Red Hat 16.0.1-0)") C linker for the host machine: gcc ld.bfd 2.46.50.20260316 C++ compiler for the host machine: g++ (gcc 16.0.1 "g++ (GCC) 16.0.1 20260305 (Red Hat 16.0.1-0)") C++ linker for the host machine: g++ ld.bfd 2.46.50.20260316 Cython compiler for the host machine: cython (cython 3.2.4) Host machine cpu family: aarch64 Host machine cpu: aarch64 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 3.14 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-je_6q9zp/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/utils/__init__.py [2/253] Copying file sklearn/__init__.py [3/253] Copying file sklearn/_loss/_loss.pxd [4/253] Copying file sklearn/utils/_heap.pxd [5/253] Copying file sklearn/utils/_cython_blas.pxd [6/253] Copying file sklearn/utils/_openmp_helpers.pxd [7/253] Copying file sklearn/utils/_typedefs.pxd [8/253] Copying file sklearn/utils/_sorting.pxd [9/253] Copying file sklearn/utils/_random.pxd [10/253] Copying file sklearn/utils/_vector_sentinel.pxd [11/253] Copying file sklearn/metrics/__init__.py [12/253] Generating sklearn/utils/_weight_vector_pxd with a custom command [13/253] Generating sklearn/metrics/_dist_metrics_pxd with a custom command [14/253] Generating sklearn/utils/_seq_dataset_pxd with a custom command [15/253] Generating sklearn/metrics/_pairwise_distances_reduction/_datasets_pair_pxd with a custom command [16/253] Copying file sklearn/metrics/_pairwise_distances_reduction/__init__.py [17/253] Generating sklearn/metrics/_pairwise_distances_reduction/_base_pxd with a custom command [18/253] Copying file sklearn/metrics/_pairwise_distances_reduction/_classmode.pxd [19/253] Generating sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_pxd with a custom command [20/253] Generating sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer_pxd with a custom command [21/253] Generating sklearn/metrics/_pairwise_distances_reduction/_argkmin_pxd with a custom command [22/253] Copying file sklearn/linear_model/__init__.py [23/253] Copying file sklearn/neighbors/_partition_nodes.pxd [24/253] Copying file sklearn/neighbors/__init__.py [25/253] Generating sklearn/_loss/_loss_pyx with a custom command [26/253] Generating sklearn/neighbors/_binary_tree_pxi with a custom command [27/253] Generating sklearn/utils/_seq_dataset_pyx with a custom command [28/253] Generating sklearn/utils/_weight_vector_pyx with a custom command [29/253] Generating sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer_pyx with a custom command [30/253] Generating sklearn/metrics/_pairwise_distances_reduction/_argkmin_pyx with a custom command [31/253] Generating sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_pyx with a custom command [32/253] Generating sklearn/metrics/_dist_metrics_pyx with a custom command [33/253] Generating sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode_pyx with a custom command [34/253] Generating sklearn/metrics/_pairwise_distances_reduction/_datasets_pair_pyx with a custom command [35/253] Generating sklearn/metrics/_pairwise_distances_reduction/_base_pyx with a custom command [36/253] Generating sklearn/neighbors/_ball_tree_pyx with a custom command [37/253] Generating sklearn/linear_model/_sag_fast_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/_kd_tree_pyx with a custom command [40/253] Generating sklearn/linear_model/_sgd_fast_pyx with a custom command [41/253] Generating 'sklearn/__check_build/_check_build.cpython-314-aarch64-linux-gnu.so.p/_check_build.c' [42/253] Generating 'sklearn/_isotonic.cpython-314-aarch64-linux-gnu.so.p/_isotonic.c' [43/253] Generating sklearn/_cyutility.c with a custom command [44/253] Generating 'sklearn/utils/murmurhash.cpython-314-aarch64-linux-gnu.so.p/murmurhash.c' [45/253] Generating 'sklearn/utils/_fast_dict.cpython-314-aarch64-linux-gnu.so.p/_fast_dict.cpp' [46/253] Generating 'sklearn/utils/sparsefuncs_fast.cpython-314-aarch64-linux-gnu.so.p/sparsefuncs_fast.c' [47/253] Generating 'sklearn/utils/arrayfuncs.cpython-314-aarch64-linux-gnu.so.p/arrayfuncs.c' [48/253] Generating 'sklearn/utils/_cython_blas.cpython-314-aarch64-linux-gnu.so.p/_cython_blas.c' [49/253] Generating 'sklearn/utils/_openmp_helpers.cpython-314-aarch64-linux-gnu.so.p/_openmp_helpers.c' [50/253] Generating 'sklearn/utils/_heap.cpython-314-aarch64-linux-gnu.so.p/_heap.c' [51/253] Generating 'sklearn/utils/_typedefs.cpython-314-aarch64-linux-gnu.so.p/_typedefs.c' [52/253] Generating 'sklearn/utils/_random.cpython-314-aarch64-linux-gnu.so.p/_random.c' [53/253] Generating 'sklearn/utils/_sorting.cpython-314-aarch64-linux-gnu.so.p/_sorting.c' [54/253] Generating 'sklearn/utils/_isfinite.cpython-314-aarch64-linux-gnu.so.p/_isfinite.c' [55/253] Generating 'sklearn/utils/_vector_sentinel.cpython-314-aarch64-linux-gnu.so.p/_vector_sentinel.cpp' [56/253] Generating 'sklearn/utils/_weight_vector.cpython-314-aarch64-linux-gnu.so.p/_weight_vector.c' [57/253] Generating 'sklearn/utils/_seq_dataset.cpython-314-aarch64-linux-gnu.so.p/_seq_dataset.c' [58/253] Generating 'sklearn/metrics/_pairwise_fast.cpython-314-aarch64-linux-gnu.so.p/_pairwise_fast.c' [59/253] Generating 'sklearn/metrics/_pairwise_distances_reduction/_datasets_pair.cpython-314-aarch64-linux-gnu.so.p/_datasets_pair.cpp' [60/253] Generating 'sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/_base.cpp' [61/253] Generating 'sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer.cpython-314-aarch64-linux-gnu.so.p/_middle_term_computer.cpp' [62/253] Generating 'sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-314-aarch64-linux-gnu.so.p/_argkmin.cpp' [63/253] Generating 'sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-314-aarch64-linux-gnu.so.p/_radius_neighbors.cpp' [64/253] Generating 'sklearn/metrics/cluster/_expected_mutual_info_fast.cpython-314-aarch64-linux-gnu.so.p/_expected_mutual_info_fast.c' [65/253] Generating 'sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode.cpython-314-aarch64-linux-gnu.so.p/_argkmin_classmode.cpp' [66/253] Generating 'sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c' [67/253] Generating 'sklearn/metrics/_dist_metrics.cpython-314-aarch64-linux-gnu.so.p/_dist_metrics.c' [68/253] Generating 'sklearn/cluster/_dbscan_inner.cpython-314-aarch64-linux-gnu.so.p/_dbscan_inner.cpp' [69/253] Generating 'sklearn/cluster/_hierarchical_fast.cpython-314-aarch64-linux-gnu.so.p/_hierarchical_fast.cpp' [70/253] Generating 'sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_classmode.cpython-314-aarch64-linux-gnu.so.p/_radius_neighbors_classmode.cpp' [71/253] Generating 'sklearn/cluster/_k_means_common.cpython-314-aarch64-linux-gnu.so.p/_k_means_common.c' [72/253] Generating 'sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c' [73/253] Generating 'sklearn/cluster/_k_means_minibatch.cpython-314-aarch64-linux-gnu.so.p/_k_means_minibatch.c' [74/253] Generating 'sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c' [75/253] Generating 'sklearn/cluster/_hdbscan/_tree.cpython-314-aarch64-linux-gnu.so.p/_tree.c' [76/253] Generating 'sklearn/decomposition/_online_lda_fast.cpython-314-aarch64-linux-gnu.so.p/_online_lda_fast.c' [77/253] Generating 'sklearn/cluster/_hdbscan/_linkage.cpython-314-aarch64-linux-gnu.so.p/_linkage.c' [78/253] Generating 'sklearn/cluster/_hdbscan/_reachability.cpython-314-aarch64-linux-gnu.so.p/_reachability.c' [79/253] Generating 'sklearn/decomposition/_cdnmf_fast.cpython-314-aarch64-linux-gnu.so.p/_cdnmf_fast.c' [80/253] Generating 'sklearn/ensemble/_hist_gradient_boosting/_gradient_boosting.cpython-314-aarch64-linux-gnu.so.p/_gradient_boosting.c' [81/253] Generating 'sklearn/datasets/_svmlight_format_fast.cpython-314-aarch64-linux-gnu.so.p/_svmlight_format_fast.c' [82/253] Generating 'sklearn/ensemble/_hist_gradient_boosting/histogram.cpython-314-aarch64-linux-gnu.so.p/histogram.c' [83/253] Generating 'sklearn/ensemble/_gradient_boosting.cpython-314-aarch64-linux-gnu.so.p/_gradient_boosting.c' [84/253] Generating 'sklearn/ensemble/_hist_gradient_boosting/splitting.cpython-314-aarch64-linux-gnu.so.p/splitting.c' [85/253] Generating 'sklearn/ensemble/_hist_gradient_boosting/_binning.cpython-314-aarch64-linux-gnu.so.p/_binning.c' [86/253] Generating 'sklearn/ensemble/_hist_gradient_boosting/_predictor.cpython-314-aarch64-linux-gnu.so.p/_predictor.c' [87/253] Generating 'sklearn/ensemble/_hist_gradient_boosting/_bitset.cpython-314-aarch64-linux-gnu.so.p/_bitset.c' [88/253] Generating 'sklearn/ensemble/_hist_gradient_boosting/common.cpython-314-aarch64-linux-gnu.so.p/common.c' [89/253] Generating 'sklearn/feature_extraction/_hashing_fast.cpython-314-aarch64-linux-gnu.so.p/_hashing_fast.cpp' [90/253] Generating 'sklearn/linear_model/_sgd_fast.cpython-314-aarch64-linux-gnu.so.p/_sgd_fast.c' [91/253] Generating 'sklearn/manifold/_utils.cpython-314-aarch64-linux-gnu.so.p/_utils.c' [92/253] Generating 'sklearn/manifold/_barnes_hut_tsne.cpython-314-aarch64-linux-gnu.so.p/_barnes_hut_tsne.c' [93/253] Generating 'sklearn/linear_model/_cd_fast.cpython-314-aarch64-linux-gnu.so.p/_cd_fast.c' [94/253] Generating 'sklearn/linear_model/_sag_fast.cpython-314-aarch64-linux-gnu.so.p/_sag_fast.c' [95/253] Generating 'sklearn/neighbors/_partition_nodes.cpython-314-aarch64-linux-gnu.so.p/_partition_nodes.cpp' [96/253] Generating 'sklearn/preprocessing/_csr_polynomial_expansion.cpython-314-aarch64-linux-gnu.so.p/_csr_polynomial_expansion.c' [97/253] Generating 'sklearn/neighbors/_ball_tree.cpython-314-aarch64-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 [98/253] Generating 'sklearn/neighbors/_kd_tree.cpython-314-aarch64-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 [99/253] Generating 'sklearn/neighbors/_quad_tree.cpython-314-aarch64-linux-gnu.so.p/_quad_tree.c' [100/253] Generating 'sklearn/svm/_newrand.cpython-314-aarch64-linux-gnu.so.p/_newrand.cpp' [101/253] Generating 'sklearn/preprocessing/_target_encoder_fast.cpython-314-aarch64-linux-gnu.so.p/_target_encoder_fast.cpp' [102/253] Generating 'sklearn/svm/_libsvm.cpython-314-aarch64-linux-gnu.so.p/_libsvm.c' [103/253] Compiling C++ object sklearn/svm/libliblinear-skl.a.p/src_liblinear_tron.cpp.o [104/253] Generating 'sklearn/svm/_libsvm_sparse.cpython-314-aarch64-linux-gnu.so.p/_libsvm_sparse.c' [105/253] Generating 'sklearn/svm/_liblinear.cpython-314-aarch64-linux-gnu.so.p/_liblinear.c' [106/253] Compiling C++ object sklearn/svm/libliblinear-skl.a.p/src_liblinear_linear.cpp.o [107/253] Generating 'sklearn/tree/_splitter.cpython-314-aarch64-linux-gnu.so.p/_splitter.c' [108/253] Generating 'sklearn/tree/_tree.cpython-314-aarch64-linux-gnu.so.p/_tree.cpp' [109/253] Generating 'sklearn/tree/_criterion.cpython-314-aarch64-linux-gnu.so.p/_criterion.c' [110/253] Generating 'sklearn/tree/_partitioner.cpython-314-aarch64-linux-gnu.so.p/_partitioner.c' [111/253] Generating 'sklearn/tree/_utils.cpython-314-aarch64-linux-gnu.so.p/_utils.c' [112/253] Compiling C object sklearn/__check_build/_check_build.cpython-314-aarch64-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; | ^~ ../sklearn/svm/src/libsvm/svm.cpp: In function ‘svm_train’: ../sklearn/svm/src/libsvm/svm.cpp:106:38: warning: argument 1 range [18446744056529682432, 18446744073709551608] exceeds maximum object size 9223372036854775807 [-Walloc-size-larger-than=] 106 | #define Malloc(type,n) (type *)malloc((n)*sizeof(type)) | ~~~~~~^~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/16/bits/std_abs.h:44, from /usr/include/c++/16/cmath:59, from /usr/include/c++/16/math.h:36, from ../sklearn/svm/src/libsvm/svm.cpp:64: /usr/include/stdlib.h:676:14: note: in a call to allocation function ‘malloc’ declared here 676 | extern void *malloc (size_t __size) __THROW __attribute_malloc__ | ^~~~~~ [114/253] Compiling C object sklearn/_isotonic.cpython-314-aarch64-linux-gnu.so.p/meson-generated__isotonic.c.o [115/253] Compiling C object sklearn/_cyutility.cpython-314-aarch64-linux-gnu.so.p/meson-generated_..__cyutility.c.o [116/253] Compiling C++ object sklearn/utils/murmurhash.cpython-314-aarch64-linux-gnu.so.p/src_MurmurHash3.cpp.o [117/253] Compiling C object sklearn/utils/arrayfuncs.cpython-314-aarch64-linux-gnu.so.p/meson-generated_arrayfuncs.c.o [118/253] Compiling C object sklearn/utils/murmurhash.cpython-314-aarch64-linux-gnu.so.p/meson-generated_murmurhash.c.o [119/253] Compiling C object sklearn/utils/_openmp_helpers.cpython-314-aarch64-linux-gnu.so.p/meson-generated__openmp_helpers.c.o [120/253] Compiling C object sklearn/utils/_cython_blas.cpython-314-aarch64-linux-gnu.so.p/meson-generated__cython_blas.c.o [121/253] Compiling C object sklearn/utils/_heap.cpython-314-aarch64-linux-gnu.so.p/meson-generated__heap.c.o [122/253] Compiling C object sklearn/utils/_sorting.cpython-314-aarch64-linux-gnu.so.p/meson-generated__sorting.c.o [123/253] Compiling C++ object sklearn/utils/_fast_dict.cpython-314-aarch64-linux-gnu.so.p/meson-generated__fast_dict.cpp.o [124/253] Compiling C object sklearn/utils/_typedefs.cpython-314-aarch64-linux-gnu.so.p/meson-generated__typedefs.c.o [125/253] Compiling C object sklearn/utils/_isfinite.cpython-314-aarch64-linux-gnu.so.p/meson-generated__isfinite.c.o [126/253] Compiling C object sklearn/utils/_random.cpython-314-aarch64-linux-gnu.so.p/meson-generated__random.c.o [127/253] Compiling C object sklearn/utils/_weight_vector.cpython-314-aarch64-linux-gnu.so.p/meson-generated__weight_vector.c.o [128/253] Compiling C object sklearn/utils/_seq_dataset.cpython-314-aarch64-linux-gnu.so.p/meson-generated__seq_dataset.c.o [129/253] Compiling C++ object sklearn/utils/_vector_sentinel.cpython-314-aarch64-linux-gnu.so.p/meson-generated__vector_sentinel.cpp.o [130/253] Compiling C object sklearn/metrics/_pairwise_fast.cpython-314-aarch64-linux-gnu.so.p/meson-generated__pairwise_fast.c.o [131/253] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/meson-generated__base.cpp.o sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-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-314-aarch64-linux-gnu.so.p/_base.cpp:9029:21: warning: ‘__pyx_v_thread_num’ is used uninitialized [-Wuninitialized] 9029 | #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-314-aarch64-linux-gnu.so.p/_base.cpp:9000:45: note: ‘__pyx_v_thread_num’ was declared here 9000 | __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_thread_num; | ^~~~~~~~~~~~~~~~~~ sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-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-314-aarch64-linux-gnu.so.p/_base.cpp:6201:21: warning: ‘__pyx_v_thread_num’ is used uninitialized [-Wuninitialized] 6201 | #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-314-aarch64-linux-gnu.so.p/_base.cpp:6172:45: note: ‘__pyx_v_thread_num’ was declared here 6172 | __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_thread_num; | ^~~~~~~~~~~~~~~~~~ sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-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-314-aarch64-linux-gnu.so.p/_base.cpp:9394:23: warning: ‘__pyx_v_thread_num’ may be used uninitialized [-Wmaybe-uninitialized] 9394 | #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-314-aarch64-linux-gnu.so.p/_base.cpp:9294:45: note: ‘__pyx_v_thread_num’ was declared here 9294 | __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_thread_num; | ^~~~~~~~~~~~~~~~~~ sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-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-314-aarch64-linux-gnu.so.p/_base.cpp:6566:23: warning: ‘__pyx_v_thread_num’ may be used uninitialized [-Wmaybe-uninitialized] 6566 | #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-314-aarch64-linux-gnu.so.p/_base.cpp:6466:45: note: ‘__pyx_v_thread_num’ was declared here 6466 | __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-314-aarch64-linux-gnu.so.p/_base.cpp:7983:113: sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so.p/_base.cpp:4573:21: warning: ‘__pyx_v_thread_num’ may be used uninitialized [-Wmaybe-uninitialized] 4573 | #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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_base.cpp:4403:45: note: ‘__pyx_v_thread_num’ was declared here 4403 | __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_thread_num; | ^~~~~~~~~~~~~~~~~~ [132/253] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer.cpython-314-aarch64-linux-gnu.so.p/meson-generated__middle_term_computer.cpp.o [133/253] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_datasets_pair.cpython-314-aarch64-linux-gnu.so.p/meson-generated__datasets_pair.cpp.o [134/253] Compiling C object sklearn/utils/sparsefuncs_fast.cpython-314-aarch64-linux-gnu.so.p/meson-generated_sparsefuncs_fast.c.o [135/253] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-314-aarch64-linux-gnu.so.p/meson-generated__argkmin.cpp.o sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-314-aarch64-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-314-aarch64-linux-gnu.so.p/_argkmin.cpp:6710:138: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized] 6710 | __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-314-aarch64-linux-gnu.so.p/_argkmin.cpp:6585:7: note: ‘__pyx_clineno’ was declared here 6585 | int __pyx_clineno = 0; | ^~~~~~~~~~~~~ sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-314-aarch64-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-314-aarch64-linux-gnu.so.p/_argkmin.cpp:11134:138: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized] 11134 | __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-314-aarch64-linux-gnu.so.p/_argkmin.cpp:11009:7: note: ‘__pyx_clineno’ was declared here 11009 | int __pyx_clineno = 0; | ^~~~~~~~~~~~~ [136/253] Compiling C object sklearn/metrics/_dist_metrics.cpython-314-aarch64-linux-gnu.so.p/meson-generated__dist_metrics.c.o [137/253] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode.cpython-314-aarch64-linux-gnu.so.p/meson-generated__argkmin_classmode.cpp.o [138/253] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_classmode.cpython-314-aarch64-linux-gnu.so.p/meson-generated__radius_neighbors_classmode.cpp.o [139/253] Compiling C++ object sklearn/cluster/_dbscan_inner.cpython-314-aarch64-linux-gnu.so.p/meson-generated__dbscan_inner.cpp.o [140/253] Compiling C object sklearn/metrics/cluster/_expected_mutual_info_fast.cpython-314-aarch64-linux-gnu.so.p/meson-generated__expected_mutual_info_fast.c.o [141/253] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-314-aarch64-linux-gnu.so.p/meson-generated__radius_neighbors.cpp.o sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-314-aarch64-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-314-aarch64-linux-gnu.so.p/_radius_neighbors.cpp:9314:138: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized] 9314 | __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-314-aarch64-linux-gnu.so.p/_radius_neighbors.cpp:9198:7: note: ‘__pyx_clineno’ was declared here 9198 | int __pyx_clineno = 0; | ^~~~~~~~~~~~~ sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-314-aarch64-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-314-aarch64-linux-gnu.so.p/_radius_neighbors.cpp:13548:138: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized] 13548 | __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-314-aarch64-linux-gnu.so.p/_radius_neighbors.cpp:13432:7: note: ‘__pyx_clineno’ was declared here 13432 | int __pyx_clineno = 0; | ^~~~~~~~~~~~~ [142/253] Compiling C++ object sklearn/cluster/_hierarchical_fast.cpython-314-aarch64-linux-gnu.so.p/meson-generated__hierarchical_fast.cpp.o [143/253] Compiling C object sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-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-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:9150:13: sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:9536:21: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 9536 | #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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:9191:11: note: ‘__pyx_v_weight_in_clusters_chunk’ was declared here 9191 | 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-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:9150:13: sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:9536:21: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized] 9536 | #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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:9185:7: note: ‘__pyx_v_k’ was declared here 9185 | 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-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:9150:13: sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:9536:21: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized] 9536 | #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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:9184:7: note: ‘__pyx_v_j’ was declared here 9184 | 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-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:9150:13: sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:9536:21: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 9536 | #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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:9190:11: note: ‘__pyx_v_centers_new_chunk’ was declared here 9190 | 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-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:7999:13: sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:8385:21: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 8385 | #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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:8040:10: note: ‘__pyx_v_weight_in_clusters_chunk’ was declared here 8040 | 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-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:7999:13: sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:8385:21: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized] 8385 | #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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:8034:7: note: ‘__pyx_v_k’ was declared here 8034 | 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-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:7999:13: sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:8385:21: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized] 8385 | #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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:8033:7: note: ‘__pyx_v_j’ was declared here 8033 | 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-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:7999:13: sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:8385:21: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 8385 | #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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:8039:10: note: ‘__pyx_v_centers_new_chunk’ was declared here 8039 | 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-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:6154:13: sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:6469:21: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 6469 | #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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:6193:11: note: ‘__pyx_v_weight_in_clusters_chunk’ was declared here 6193 | 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-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:6154:13: sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:6469:21: warning: ‘__pyx_v_pairwise_distances_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 6469 | #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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:6194:11: note: ‘__pyx_v_pairwise_distances_chunk’ was declared here 6194 | 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-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:6154:13: sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:6469:21: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized] 6469 | #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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:6190:7: note: ‘__pyx_v_k’ was declared here 6190 | 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-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:6154:13: sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:6469:21: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized] 6469 | #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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:6189:7: note: ‘__pyx_v_j’ was declared here 6189 | 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-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:6154:13: sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:6469:21: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 6469 | #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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:6192:11: note: ‘__pyx_v_centers_new_chunk’ was declared here 6192 | 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-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:5125:13: sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:5440:21: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 5440 | #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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:5164:10: note: ‘__pyx_v_weight_in_clusters_chunk’ was declared here 5164 | 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-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:5125:13: sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:5440:21: warning: ‘__pyx_v_pairwise_distances_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 5440 | #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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:5165:10: note: ‘__pyx_v_pairwise_distances_chunk’ was declared here 5165 | 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-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:5125:13: sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:5440:21: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized] 5440 | #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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:5161:7: note: ‘__pyx_v_k’ was declared here 5161 | 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-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:5125:13: sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:5440:21: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized] 5440 | #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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:5160:7: note: ‘__pyx_v_j’ was declared here 5160 | 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-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:5125:13: sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:5440:21: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 5440 | #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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_k_means_lloyd.c:5163:10: note: ‘__pyx_v_centers_new_chunk’ was declared here 5163 | float *__pyx_v_centers_new_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~ [144/253] Compiling C object sklearn/cluster/_k_means_minibatch.cpython-314-aarch64-linux-gnu.so.p/meson-generated__k_means_minibatch.c.o sklearn/cluster/_k_means_minibatch.cpython-314-aarch64-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-314-aarch64-linux-gnu.so.p/_k_means_minibatch.c:5311:21: warning: ‘__pyx_v_indices’ is used uninitialized [-Wuninitialized] 5311 | #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-314-aarch64-linux-gnu.so.p/_k_means_minibatch.c:5265:8: note: ‘__pyx_v_indices’ was declared here 5265 | int *__pyx_v_indices; | ^~~~~~~~~~~~~~~ sklearn/cluster/_k_means_minibatch.cpython-314-aarch64-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-314-aarch64-linux-gnu.so.p/_k_means_minibatch.c:5037:21: warning: ‘__pyx_v_indices’ is used uninitialized [-Wuninitialized] 5037 | #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-314-aarch64-linux-gnu.so.p/_k_means_minibatch.c:4991:8: note: ‘__pyx_v_indices’ was declared here 4991 | 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-314-aarch64-linux-gnu.so.p/_k_means_minibatch.c:6751:13: sklearn/cluster/_k_means_minibatch.cpython-314-aarch64-linux-gnu.so.p/_k_means_minibatch.c:6878:21: warning: ‘__pyx_v_indices’ may be used uninitialized [-Wmaybe-uninitialized] 6878 | #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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_k_means_minibatch.c:6773:8: note: ‘__pyx_v_indices’ was declared here 6773 | 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-314-aarch64-linux-gnu.so.p/_k_means_minibatch.c:6405:13: sklearn/cluster/_k_means_minibatch.cpython-314-aarch64-linux-gnu.so.p/_k_means_minibatch.c:6532:21: warning: ‘__pyx_v_indices’ may be used uninitialized [-Wmaybe-uninitialized] 6532 | #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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_k_means_minibatch.c:6427:8: note: ‘__pyx_v_indices’ was declared here 6427 | int *__pyx_v_indices; | ^~~~~~~~~~~~~~~ [145/253] Compiling C object sklearn/cluster/_k_means_common.cpython-314-aarch64-linux-gnu.so.p/meson-generated__k_means_common.c.o sklearn/cluster/_k_means_common.cpython-314-aarch64-linux-gnu.so.p/_k_means_common.c: In function ‘__pyx_fuse_1__pyx_f_7sklearn_7cluster_15_k_means_common__inertia_sparse._omp_fn.0’: sklearn/cluster/_k_means_common.cpython-314-aarch64-linux-gnu.so.p/_k_means_common.c:8754:138: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized] 8754 | __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ sklearn/cluster/_k_means_common.cpython-314-aarch64-linux-gnu.so.p/_k_means_common.c:8421:7: note: ‘__pyx_clineno’ was declared here 8421 | int __pyx_clineno = 0; | ^~~~~~~~~~~~~ sklearn/cluster/_k_means_common.cpython-314-aarch64-linux-gnu.so.p/_k_means_common.c: In function ‘__pyx_fuse_0__pyx_f_7sklearn_7cluster_15_k_means_common__inertia_sparse._omp_fn.0’: sklearn/cluster/_k_means_common.cpython-314-aarch64-linux-gnu.so.p/_k_means_common.c:8104:138: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized] 8104 | __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ sklearn/cluster/_k_means_common.cpython-314-aarch64-linux-gnu.so.p/_k_means_common.c:7771:7: note: ‘__pyx_clineno’ was declared here 7771 | int __pyx_clineno = 0; | ^~~~~~~~~~~~~ [146/253] Compiling C object sklearn/cluster/_hdbscan/_linkage.cpython-314-aarch64-linux-gnu.so.p/meson-generated__linkage.c.o [147/253] Compiling C object sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/meson-generated__k_means_elkan.c.o sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c: In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_14init_bounds_sparse._omp_fn.0’: sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:6763:138: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized] 6763 | __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:6262:7: note: ‘__pyx_clineno’ was declared here 6262 | int __pyx_clineno = 0; | ^~~~~~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c: In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_16init_bounds_sparse._omp_fn.0’: sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:7547:138: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized] 7547 | __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:7046:7: note: ‘__pyx_clineno’ was declared here 7046 | int __pyx_clineno = 0; | ^~~~~~~~~~~~~ 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-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:9270:13: sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:9544:21: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 9544 | #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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:9313:11: note: ‘__pyx_v_weight_in_clusters_chunk’ was declared here 9313 | 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-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:9270:13: sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:9544:21: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized] 9544 | #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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:9311:7: note: ‘__pyx_v_k’ was declared here 9311 | 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-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:9270:13: sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:9544:21: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized] 9544 | #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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:9310:7: note: ‘__pyx_v_j’ was declared here 9310 | 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-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:9270:13: sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:9544:21: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 9544 | #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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:9312:11: note: ‘__pyx_v_centers_new_chunk’ was declared here 9312 | 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-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:8114:13: sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:8388:21: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 8388 | #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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:8157:10: note: ‘__pyx_v_weight_in_clusters_chunk’ was declared here 8157 | 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-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:8114:13: sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:8388:21: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized] 8388 | #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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:8155:7: note: ‘__pyx_v_k’ was declared here 8155 | 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-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:8114:13: sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:8388:21: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized] 8388 | #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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:8154:7: note: ‘__pyx_v_j’ was declared here 8154 | 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-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:8114:13: sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:8388:21: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 8388 | #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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:8156:10: note: ‘__pyx_v_centers_new_chunk’ was declared here 8156 | 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-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:11596:13: sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:11980:21: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 11980 | #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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:11642:10: note: ‘__pyx_v_weight_in_clusters_chunk’ was declared here 11642 | 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-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:11596:13: sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:11980:21: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized] 11980 | #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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:11639:7: note: ‘__pyx_v_k’ was declared here 11639 | 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-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:11596:13: sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:11980:21: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized] 11980 | #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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:11638:7: note: ‘__pyx_v_j’ was declared here 11638 | 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-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:11596:13: sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:11980:21: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 11980 | #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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:11641:10: note: ‘__pyx_v_centers_new_chunk’ was declared here 11641 | 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-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:12935:13: sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:13319:21: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 13319 | #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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:12981:11: note: ‘__pyx_v_weight_in_clusters_chunk’ was declared here 12981 | 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-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:12935:13: sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:13319:21: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized] 13319 | #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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:12978:7: note: ‘__pyx_v_k’ was declared here 12978 | 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-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:12935:13: sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:13319:21: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized] 13319 | #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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:12977:7: note: ‘__pyx_v_j’ was declared here 12977 | 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-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:12935:13: sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:13319:21: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 13319 | #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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_k_means_elkan.c:12980:11: note: ‘__pyx_v_centers_new_chunk’ was declared here 12980 | double *__pyx_v_centers_new_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~ [148/253] Compiling C object sklearn/decomposition/_cdnmf_fast.cpython-314-aarch64-linux-gnu.so.p/meson-generated__cdnmf_fast.c.o [149/253] Compiling C object sklearn/ensemble/_gradient_boosting.cpython-314-aarch64-linux-gnu.so.p/meson-generated__gradient_boosting.c.o [150/253] Compiling C object sklearn/decomposition/_online_lda_fast.cpython-314-aarch64-linux-gnu.so.p/meson-generated__online_lda_fast.c.o [151/253] Compiling C object sklearn/ensemble/_hist_gradient_boosting/_gradient_boosting.cpython-314-aarch64-linux-gnu.so.p/meson-generated__gradient_boosting.c.o [152/253] Compiling C object sklearn/cluster/_hdbscan/_reachability.cpython-314-aarch64-linux-gnu.so.p/meson-generated__reachability.c.o [153/253] Compiling C object sklearn/cluster/_hdbscan/_tree.cpython-314-aarch64-linux-gnu.so.p/meson-generated__tree.c.o [154/253] Compiling C object sklearn/ensemble/_hist_gradient_boosting/_binning.cpython-314-aarch64-linux-gnu.so.p/meson-generated__binning.c.o [155/253] Compiling C object sklearn/ensemble/_hist_gradient_boosting/_bitset.cpython-314-aarch64-linux-gnu.so.p/meson-generated__bitset.c.o [156/253] Compiling C object sklearn/ensemble/_hist_gradient_boosting/_predictor.cpython-314-aarch64-linux-gnu.so.p/meson-generated__predictor.c.o [157/253] Compiling C object sklearn/ensemble/_hist_gradient_boosting/histogram.cpython-314-aarch64-linux-gnu.so.p/meson-generated_histogram.c.o [158/253] Compiling C object sklearn/ensemble/_hist_gradient_boosting/common.cpython-314-aarch64-linux-gnu.so.p/meson-generated_common.c.o [159/253] Compiling C object sklearn/ensemble/_hist_gradient_boosting/splitting.cpython-314-aarch64-linux-gnu.so.p/meson-generated_splitting.c.o [160/253] Compiling C++ object sklearn/feature_extraction/_hashing_fast.cpython-314-aarch64-linux-gnu.so.p/meson-generated__hashing_fast.cpp.o [161/253] Compiling C object sklearn/manifold/_utils.cpython-314-aarch64-linux-gnu.so.p/meson-generated__utils.c.o [162/253] Compiling C object sklearn/manifold/_barnes_hut_tsne.cpython-314-aarch64-linux-gnu.so.p/meson-generated__barnes_hut_tsne.c.o sklearn/manifold/_barnes_hut_tsne.cpython-314-aarch64-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-314-aarch64-linux-gnu.so.p/_barnes_hut_tsne.c:6308:21: warning: ‘__pyx_v_summary’ is used uninitialized [-Wuninitialized] 6308 | #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-314-aarch64-linux-gnu.so.p/_barnes_hut_tsne.c:6159:10: note: ‘__pyx_v_summary’ was declared here 6159 | float *__pyx_v_summary; | ^~~~~~~~~~~~~~~ sklearn/manifold/_barnes_hut_tsne.cpython-314-aarch64-linux-gnu.so.p/_barnes_hut_tsne.c:6308:21: warning: ‘__pyx_v_pos’ is used uninitialized [-Wuninitialized] 6308 | #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-314-aarch64-linux-gnu.so.p/_barnes_hut_tsne.c:6154:10: note: ‘__pyx_v_pos’ was declared here 6154 | float *__pyx_v_pos; | ^~~~~~~~~~~ sklearn/manifold/_barnes_hut_tsne.cpython-314-aarch64-linux-gnu.so.p/_barnes_hut_tsne.c:6308:21: warning: ‘__pyx_v_neg_force’ is used uninitialized [-Wuninitialized] 6308 | #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-314-aarch64-linux-gnu.so.p/_barnes_hut_tsne.c:6153:10: note: ‘__pyx_v_neg_force’ was declared here 6153 | float *__pyx_v_neg_force; | ^~~~~~~~~~~~~~~~~ sklearn/manifold/_barnes_hut_tsne.cpython-314-aarch64-linux-gnu.so.p/_barnes_hut_tsne.c:6308:21: warning: ‘__pyx_v_force’ is used uninitialized [-Wuninitialized] 6308 | #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-314-aarch64-linux-gnu.so.p/_barnes_hut_tsne.c:6152:10: note: ‘__pyx_v_force’ was declared here 6152 | float *__pyx_v_force; | ^~~~~~~~~~~~~ sklearn/manifold/_barnes_hut_tsne.cpython-314-aarch64-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-314-aarch64-linux-gnu.so.p/_barnes_hut_tsne.c:5763:21: warning: ‘__pyx_v_buff’ is used uninitialized [-Wuninitialized] 5763 | #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-314-aarch64-linux-gnu.so.p/_barnes_hut_tsne.c:5642:10: note: ‘__pyx_v_buff’ was declared here 5642 | float *__pyx_v_buff; | ^~~~~~~~~~~~ [163/253] Compiling C object sklearn/linear_model/_sgd_fast.cpython-314-aarch64-linux-gnu.so.p/meson-generated__sgd_fast.c.o [164/253] Compiling C object sklearn/linear_model/_sag_fast.cpython-314-aarch64-linux-gnu.so.p/meson-generated__sag_fast.c.o [165/253] Compiling C object sklearn/datasets/_svmlight_format_fast.cpython-314-aarch64-linux-gnu.so.p/meson-generated__svmlight_format_fast.c.o [166/253] Compiling C object sklearn/_loss/_loss.cpython-314-aarch64-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-314-aarch64-linux-gnu.so.p/_loss.c:87055:13: sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:87144:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 87144 | #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-314-aarch64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_29loss_gradient’: sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:87077:11: note: ‘__pyx_v_p’ was declared here 87077 | 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-314-aarch64-linux-gnu.so.p/_loss.c:87671:13: sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:87760:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 87760 | #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-314-aarch64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_31loss_gradient’: sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:87693:11: note: ‘__pyx_v_p’ was declared here 87693 | 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-314-aarch64-linux-gnu.so.p/_loss.c:88287:13: sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:88376:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 88376 | #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-314-aarch64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_33loss_gradient’: sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:88309:10: note: ‘__pyx_v_p’ was declared here 88309 | 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-314-aarch64-linux-gnu.so.p/_loss.c:88903:13: sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:88992:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 88992 | #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-314-aarch64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_35loss_gradient’: sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:88925:10: note: ‘__pyx_v_p’ was declared here 88925 | 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-314-aarch64-linux-gnu.so.p/_loss.c:92165:13: sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:92253:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 92253 | #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-314-aarch64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_49gradient_hessian’: sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:92186:11: note: ‘__pyx_v_p’ was declared here 92186 | 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-314-aarch64-linux-gnu.so.p/_loss.c:92688:13: sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:92776:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 92776 | #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-314-aarch64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_51gradient_hessian’: sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:92709:11: note: ‘__pyx_v_p’ was declared here 92709 | 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-314-aarch64-linux-gnu.so.p/_loss.c:93211:13: sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:93299:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 93299 | #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-314-aarch64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_53gradient_hessian’: sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:93232:10: note: ‘__pyx_v_p’ was declared here 93232 | 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-314-aarch64-linux-gnu.so.p/_loss.c:93734:13: sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:93822:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 93822 | #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-314-aarch64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_55gradient_hessian’: sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:93755:10: note: ‘__pyx_v_p’ was declared here 93755 | 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-314-aarch64-linux-gnu.so.p/_loss.c:94600:13: sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:94689:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 94689 | #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-314-aarch64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_59gradient_proba’: sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:94621:11: note: ‘__pyx_v_p’ was declared here 94621 | 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-314-aarch64-linux-gnu.so.p/_loss.c:95105:13: sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:95194:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 95194 | #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-314-aarch64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_61gradient_proba’: sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:95126:11: note: ‘__pyx_v_p’ was declared here 95126 | 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-314-aarch64-linux-gnu.so.p/_loss.c:95610:13: sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:95699:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 95699 | #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-314-aarch64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_63gradient_proba’: sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:95631:10: note: ‘__pyx_v_p’ was declared here 95631 | 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-314-aarch64-linux-gnu.so.p/_loss.c:96115:13: sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:96204:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 96204 | #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-314-aarch64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_65gradient_proba’: sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:96136:10: note: ‘__pyx_v_p’ was declared here 96136 | 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-314-aarch64-linux-gnu.so.p/_loss.c:91323:13: sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:91410:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 91410 | #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-314-aarch64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_45gradient’: sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:91343:10: note: ‘__pyx_v_p’ was declared here 91343 | 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-314-aarch64-linux-gnu.so.p/_loss.c:90833:13: sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:90920:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 90920 | #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-314-aarch64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_43gradient’: sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:90853:10: note: ‘__pyx_v_p’ was declared here 90853 | 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-314-aarch64-linux-gnu.so.p/_loss.c:90343:13: sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:90430:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 90430 | #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-314-aarch64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_41gradient’: sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:90363:11: note: ‘__pyx_v_p’ was declared here 90363 | 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-314-aarch64-linux-gnu.so.p/_loss.c:89853:13: sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:89940:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 89940 | #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-314-aarch64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_39gradient’: sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:89873:11: note: ‘__pyx_v_p’ was declared here 89873 | 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-314-aarch64-linux-gnu.so.p/_loss.c:86193:13: sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:86276:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 86276 | #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-314-aarch64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_25loss’: sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:86214:10: note: ‘__pyx_v_p’ was declared here 86214 | 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-314-aarch64-linux-gnu.so.p/_loss.c:85683:13: sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:85766:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 85766 | #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-314-aarch64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_23loss’: sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:85704:10: note: ‘__pyx_v_p’ was declared here 85704 | 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-314-aarch64-linux-gnu.so.p/_loss.c:85173:13: sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:85256:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 85256 | #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-314-aarch64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_21loss’: sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:85194:11: note: ‘__pyx_v_p’ was declared here 85194 | 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-314-aarch64-linux-gnu.so.p/_loss.c:84663:13: sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:84746:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 84746 | #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-314-aarch64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_19loss’: sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so.p/_loss.c:84684:11: note: ‘__pyx_v_p’ was declared here 84684 | double *__pyx_v_p; | ^~~~~~~~~ [167/253] Compiling C++ object sklearn/neighbors/_partition_nodes.cpython-314-aarch64-linux-gnu.so.p/meson-generated__partition_nodes.cpp.o [168/253] Compiling C object sklearn/neighbors/_quad_tree.cpython-314-aarch64-linux-gnu.so.p/meson-generated__quad_tree.c.o [169/253] Compiling C++ object sklearn/svm/_newrand.cpython-314-aarch64-linux-gnu.so.p/meson-generated__newrand.cpp.o [170/253] Linking static target sklearn/svm/liblibsvm-skl.a [171/253] Compiling C object sklearn/linear_model/_cd_fast.cpython-314-aarch64-linux-gnu.so.p/meson-generated__cd_fast.c.o [172/253] Compiling C object sklearn/preprocessing/_csr_polynomial_expansion.cpython-314-aarch64-linux-gnu.so.p/meson-generated__csr_polynomial_expansion.c.o [173/253] Linking static target sklearn/svm/libliblinear-skl.a [174/253] Compiling C object sklearn/svm/_liblinear.cpython-314-aarch64-linux-gnu.so.p/meson-generated__liblinear.c.o [175/253] Compiling C object sklearn/svm/_libsvm.cpython-314-aarch64-linux-gnu.so.p/meson-generated__libsvm.c.o [176/253] Compiling C object sklearn/svm/_libsvm_sparse.cpython-314-aarch64-linux-gnu.so.p/meson-generated__libsvm_sparse.c.o [177/253] Compiling C object sklearn/tree/_splitter.cpython-314-aarch64-linux-gnu.so.p/meson-generated__splitter.c.o [178/253] Compiling C object sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/meson-generated__ball_tree.c.o sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__recursive_build’: sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c:16538:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 16538 | __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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_ball_tree.c:23904:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 23904 | __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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_ball_tree.c:24453:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 24453 | __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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_ball_tree.c:25358:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 25358 | __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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_ball_tree.c:25968:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 25968 | __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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_ball_tree.c:26371:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 26371 | __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-314-aarch64-linux-gnu.so.p/_ball_tree.c:26381:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 26381 | __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-314-aarch64-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__recursive_build’: sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c:30413:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 30413 | __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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_ball_tree.c:37788:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 37788 | __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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_ball_tree.c:38337:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 38337 | __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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_ball_tree.c:39242:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 39242 | __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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_ball_tree.c:39852:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 39852 | __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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_ball_tree.c:40255:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 40255 | __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-314-aarch64-linux-gnu.so.p/_ball_tree.c:40265:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 40265 | __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-314-aarch64-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_init_node64’: sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c:42171:20: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 42171 | __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-314-aarch64-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_init_node32’: sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c:43544:20: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 43544 | __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-314-aarch64-linux-gnu.so.p/_ball_tree.c:39564:19: sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c:41881:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized] 41881 | __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])])); | ^ sklearn/neighbors/_ball_tree.cpython-314-aarch64-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-314-aarch64-linux-gnu.so.p/_ball_tree.c:39142:55: note: ‘__pyx_v_sample_weight’ was declared here 39142 | __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-314-aarch64-linux-gnu.so.p/_ball_tree.c:25680:19: sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so.p/_ball_tree.c:41940:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized] 41940 | __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])])); | ^ sklearn/neighbors/_ball_tree.cpython-314-aarch64-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-314-aarch64-linux-gnu.so.p/_ball_tree.c:25258:55: note: ‘__pyx_v_sample_weight’ was declared here 25258 | __pyx_t_7sklearn_5utils_9_typedefs_float64_t const *__pyx_v_sample_weight; | ^~~~~~~~~~~~~~~~~~~~~ [179/253] Compiling C++ object sklearn/preprocessing/_target_encoder_fast.cpython-314-aarch64-linux-gnu.so.p/meson-generated__target_encoder_fast.cpp.o [180/253] Compiling C object sklearn/tree/_partitioner.cpython-314-aarch64-linux-gnu.so.p/meson-generated__partitioner.c.o [181/253] Compiling C object sklearn/tree/_utils.cpython-314-aarch64-linux-gnu.so.p/meson-generated__utils.c.o [182/253] Linking target sklearn/__check_build/_check_build.cpython-314-aarch64-linux-gnu.so [183/253] Compiling C object sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/meson-generated__kd_tree.c.o sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__recursive_build’: sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c:16518:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 16518 | __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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_kd_tree.c:23884:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 23884 | __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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_kd_tree.c:24433:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 24433 | __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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_kd_tree.c:25338:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 25338 | __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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_kd_tree.c:25948:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 25948 | __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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_kd_tree.c:26351:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 26351 | __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-314-aarch64-linux-gnu.so.p/_kd_tree.c:26361:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 26361 | __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-314-aarch64-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__recursive_build’: sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c:30393:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 30393 | __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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_kd_tree.c:37768:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 37768 | __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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_kd_tree.c:38317:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 38317 | __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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_kd_tree.c:39222:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 39222 | __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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_kd_tree.c:39832:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 39832 | __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-314-aarch64-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-314-aarch64-linux-gnu.so.p/_kd_tree.c:40235:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 40235 | __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-314-aarch64-linux-gnu.so.p/_kd_tree.c:40245:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 40245 | __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-314-aarch64-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_init_node64’: sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c:42126:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 42126 | __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-314-aarch64-linux-gnu.so.p/_kd_tree.c:42138:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 42138 | __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-314-aarch64-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_init_node32’: sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c:43953:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 43953 | __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-314-aarch64-linux-gnu.so.p/_kd_tree.c:43965:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 43965 | __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-314-aarch64-linux-gnu.so.p/_kd_tree.c:39544:19: sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c:41861:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized] 41861 | __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])])); | ^ sklearn/neighbors/_kd_tree.cpython-314-aarch64-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-314-aarch64-linux-gnu.so.p/_kd_tree.c:39122:55: note: ‘__pyx_v_sample_weight’ was declared here 39122 | __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-314-aarch64-linux-gnu.so.p/_kd_tree.c:25660:19: sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so.p/_kd_tree.c:41920:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized] 41920 | __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])])); | ^ sklearn/neighbors/_kd_tree.cpython-314-aarch64-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-314-aarch64-linux-gnu.so.p/_kd_tree.c:25238:55: note: ‘__pyx_v_sample_weight’ was declared here 25238 | __pyx_t_7sklearn_5utils_9_typedefs_float64_t const *__pyx_v_sample_weight; | ^~~~~~~~~~~~~~~~~~~~~ [184/253] Linking target sklearn/_cyutility.cpython-314-aarch64-linux-gnu.so [185/253] Compiling C object sklearn/tree/_criterion.cpython-314-aarch64-linux-gnu.so.p/meson-generated__criterion.c.o [186/253] Linking target sklearn/_isotonic.cpython-314-aarch64-linux-gnu.so [187/253] Linking target sklearn/utils/_cython_blas.cpython-314-aarch64-linux-gnu.so [188/253] Linking target sklearn/utils/murmurhash.cpython-314-aarch64-linux-gnu.so [189/253] Linking target sklearn/utils/arrayfuncs.cpython-314-aarch64-linux-gnu.so [190/253] Linking target sklearn/utils/_openmp_helpers.cpython-314-aarch64-linux-gnu.so [191/253] Linking target sklearn/utils/_fast_dict.cpython-314-aarch64-linux-gnu.so [192/253] Linking target sklearn/utils/sparsefuncs_fast.cpython-314-aarch64-linux-gnu.so [193/253] Linking target sklearn/utils/_heap.cpython-314-aarch64-linux-gnu.so [194/253] Linking target sklearn/utils/_sorting.cpython-314-aarch64-linux-gnu.so [195/253] Compiling C++ object sklearn/tree/_tree.cpython-314-aarch64-linux-gnu.so.p/meson-generated__tree.cpp.o In file included from /usr/include/c++/16/aarch64-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-314-aarch64-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:674:17, 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:1615:20, 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-314-aarch64-linux-gnu.so.p/_tree.cpp:27492:44: /usr/include/c++/16/bits/new_allocator.h:191:11: warning: ‘__pyx_v_pruned_branch_node_idx’ may be used uninitialized [-Wmaybe-uninitialized] 191 | { ::new((void *)__p) _Up(std::forward<_Args>(__args)...); } | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/tree/_tree.cpython-314-aarch64-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-314-aarch64-linux-gnu.so.p/_tree.cpp:26528:45: note: ‘__pyx_v_pruned_branch_node_idx’ was declared here 26528 | __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_pruned_branch_node_idx; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [196/253] Linking target sklearn/utils/_typedefs.cpython-314-aarch64-linux-gnu.so [197/253] Linking target sklearn/utils/_random.cpython-314-aarch64-linux-gnu.so [198/253] Linking target sklearn/utils/_isfinite.cpython-314-aarch64-linux-gnu.so [199/253] Linking target sklearn/utils/_vector_sentinel.cpython-314-aarch64-linux-gnu.so [200/253] Linking target sklearn/utils/_weight_vector.cpython-314-aarch64-linux-gnu.so [201/253] Linking target sklearn/utils/_seq_dataset.cpython-314-aarch64-linux-gnu.so [202/253] Linking target sklearn/metrics/_pairwise_fast.cpython-314-aarch64-linux-gnu.so [203/253] Linking target sklearn/metrics/_pairwise_distances_reduction/_datasets_pair.cpython-314-aarch64-linux-gnu.so [204/253] Linking target sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-aarch64-linux-gnu.so [205/253] Linking target sklearn/metrics/_dist_metrics.cpython-314-aarch64-linux-gnu.so [206/253] Linking target sklearn/_loss/_loss.cpython-314-aarch64-linux-gnu.so [207/253] Linking target sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer.cpython-314-aarch64-linux-gnu.so [208/253] Linking target sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-314-aarch64-linux-gnu.so [209/253] Linking target sklearn/cluster/_dbscan_inner.cpython-314-aarch64-linux-gnu.so [210/253] Linking target sklearn/metrics/cluster/_expected_mutual_info_fast.cpython-314-aarch64-linux-gnu.so [211/253] Linking target sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_classmode.cpython-314-aarch64-linux-gnu.so [212/253] Linking target sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode.cpython-314-aarch64-linux-gnu.so [213/253] Linking target sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-314-aarch64-linux-gnu.so [214/253] Linking target sklearn/cluster/_hierarchical_fast.cpython-314-aarch64-linux-gnu.so [215/253] Linking target sklearn/cluster/_k_means_common.cpython-314-aarch64-linux-gnu.so [216/253] Linking target sklearn/cluster/_k_means_lloyd.cpython-314-aarch64-linux-gnu.so [217/253] Linking target sklearn/cluster/_k_means_minibatch.cpython-314-aarch64-linux-gnu.so [218/253] Linking target sklearn/cluster/_k_means_elkan.cpython-314-aarch64-linux-gnu.so [219/253] Linking target sklearn/cluster/_hdbscan/_linkage.cpython-314-aarch64-linux-gnu.so [220/253] Linking target sklearn/decomposition/_cdnmf_fast.cpython-314-aarch64-linux-gnu.so [221/253] Linking target sklearn/ensemble/_gradient_boosting.cpython-314-aarch64-linux-gnu.so [222/253] Linking target sklearn/cluster/_hdbscan/_tree.cpython-314-aarch64-linux-gnu.so [223/253] Linking target sklearn/cluster/_hdbscan/_reachability.cpython-314-aarch64-linux-gnu.so [224/253] Linking target sklearn/decomposition/_online_lda_fast.cpython-314-aarch64-linux-gnu.so [225/253] Linking target sklearn/ensemble/_hist_gradient_boosting/_gradient_boosting.cpython-314-aarch64-linux-gnu.so [226/253] Linking target sklearn/datasets/_svmlight_format_fast.cpython-314-aarch64-linux-gnu.so [227/253] Linking target sklearn/ensemble/_hist_gradient_boosting/_binning.cpython-314-aarch64-linux-gnu.so [228/253] Linking target sklearn/ensemble/_hist_gradient_boosting/_predictor.cpython-314-aarch64-linux-gnu.so [229/253] Linking target sklearn/ensemble/_hist_gradient_boosting/splitting.cpython-314-aarch64-linux-gnu.so [230/253] Linking target sklearn/ensemble/_hist_gradient_boosting/common.cpython-314-aarch64-linux-gnu.so [231/253] Linking target sklearn/ensemble/_hist_gradient_boosting/_bitset.cpython-314-aarch64-linux-gnu.so [232/253] Linking target sklearn/ensemble/_hist_gradient_boosting/histogram.cpython-314-aarch64-linux-gnu.so [233/253] Linking target sklearn/manifold/_utils.cpython-314-aarch64-linux-gnu.so [234/253] Linking target sklearn/feature_extraction/_hashing_fast.cpython-314-aarch64-linux-gnu.so [235/253] Linking target sklearn/manifold/_barnes_hut_tsne.cpython-314-aarch64-linux-gnu.so [236/253] Linking target sklearn/linear_model/_sag_fast.cpython-314-aarch64-linux-gnu.so [237/253] Linking target sklearn/neighbors/_partition_nodes.cpython-314-aarch64-linux-gnu.so [238/253] Linking target sklearn/linear_model/_cd_fast.cpython-314-aarch64-linux-gnu.so [239/253] Linking target sklearn/linear_model/_sgd_fast.cpython-314-aarch64-linux-gnu.so [240/253] Linking target sklearn/svm/_newrand.cpython-314-aarch64-linux-gnu.so [241/253] Linking target sklearn/preprocessing/_csr_polynomial_expansion.cpython-314-aarch64-linux-gnu.so [242/253] Linking target sklearn/neighbors/_ball_tree.cpython-314-aarch64-linux-gnu.so [243/253] Linking target sklearn/neighbors/_quad_tree.cpython-314-aarch64-linux-gnu.so [244/253] Linking target sklearn/neighbors/_kd_tree.cpython-314-aarch64-linux-gnu.so [245/253] Linking target sklearn/preprocessing/_target_encoder_fast.cpython-314-aarch64-linux-gnu.so [246/253] Linking target sklearn/svm/_liblinear.cpython-314-aarch64-linux-gnu.so [247/253] Linking target sklearn/svm/_libsvm.cpython-314-aarch64-linux-gnu.so ../sklearn/svm/src/libsvm/svm.cpp: In function ‘svm_train’: ../sklearn/svm/src/libsvm/svm.cpp:2600:34: warning: argument 1 range [18446744056529682432, 18446744073709551608] exceeds maximum object size 9223372036854775807 [-Walloc-size-larger-than=] 2600 | model->sv_coef = Malloc(double *,nr_class-1); | ^ /usr/include/stdlib.h:676:14: note: in a call to allocation function ‘malloc’ declared here 676 | extern void *malloc (size_t __size) __THROW __attribute_malloc__ | ^ [248/253] Linking target sklearn/tree/_splitter.cpython-314-aarch64-linux-gnu.so [249/253] Linking target sklearn/svm/_libsvm_sparse.cpython-314-aarch64-linux-gnu.so ../sklearn/svm/src/libsvm/svm.cpp: In function ‘svm_train’: ../sklearn/svm/src/libsvm/svm.cpp:2600:34: warning: argument 1 range [18446744056529682432, 18446744073709551608] exceeds maximum object size 9223372036854775807 [-Walloc-size-larger-than=] 2600 | model->sv_coef = Malloc(double *,nr_class-1); | ^ /usr/include/stdlib.h:676:14: note: in a call to allocation function ‘malloc’ declared here 676 | extern void *malloc (size_t __size) __THROW __attribute_malloc__ | ^ [250/253] Linking target sklearn/tree/_partitioner.cpython-314-aarch64-linux-gnu.so [251/253] Linking target sklearn/tree/_tree.cpython-314-aarch64-linux-gnu.so [252/253] Linking target sklearn/tree/_utils.cpython-314-aarch64-linux-gnu.so [253/253] Linking target sklearn/tree/_criterion.cpython-314-aarch64-linux-gnu.so [1/955] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/scikit_learn-1.8.0/.mesonpy-je_6q9zp/sklearn/_cyutility.cpython-314-aarch64-linux-gnu.so [2/955] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/scikit_learn-1.8.0/.mesonpy-je_6q9zp/sklearn/_isotonic.cpython-314-aarch64-linux-gnu.so [3/955] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/scikit_learn-1.8.0/.mesonpy-je_6q9zp/sklearn/__check_build/_check_build.cpython-314-aarch64-linux-gnu.so [4/955] 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/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-cp314-cp314-linux_aarch64.whl size=27637624 sha256=512a95bc1e7aeae510ac0655884a79a2cb5ca00bb13f43875751d9236492d7eb Stored in directory: /builddir/.cache/pip/wheels/dc/0c/09/40394480b7e9dde7327f8284d12221b5f39889227d892a56db Successfully built scikit-learn + RPM_EC=0 ++ jobs -p + exit 0 Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.qYFlrB + 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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-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-cp314-cp314-linux_aarch64.whl ++ xargs basename --multiple ++ sed -E 's/([^-]+)-([^-]+)-.+\.whl/\1==\2/' + specifier=scikit_learn==1.8.0 + '[' -z scikit_learn==1.8.0 ']' + 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 26.0.1 from /usr/lib/python3.14/site-packages/pip (python 3.14) 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-cp314-cp314-linux_aarch64.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-1.8.0-1.fc45.aarch64-pyproject-ghost-distinfo + site_dirs=() + '[' -d /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib/python3.14/site-packages ']' + '[' /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages '!=' /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib/python3.14/site-packages ']' + '[' -d /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages ']' + site_dirs+=("/usr/lib64/python3.14/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/python3.14/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/python3.14/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/python3.14/site-packages/scikit_learn-1.8.0.dist-info/RECORD --output /builddir/build/BUILD/python-scikit-learn-1.8.0-build/python-scikit-learn-1.8.0-1.fc45.aarch64-pyproject-record + rm -fv /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/scikit_learn-1.8.0.dist-info/RECORD removed '/builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/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/python3.14/site-packages/scikit_learn-1.8.0.dist-info/REQUESTED removed '/builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/scikit_learn-1.8.0.dist-info/REQUESTED' ++ wc -l /builddir/build/BUILD/python-scikit-learn-1.8.0-build/python-scikit-learn-1.8.0-1.fc45.aarch64-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-1.8.0-1.fc45.aarch64-pyproject-files --output-modules /builddir/build/BUILD/python-scikit-learn-1.8.0-build/python-scikit-learn-1.8.0-1.fc45.aarch64-pyproject-modules --buildroot /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT --sitelib /usr/lib/python3.14/site-packages --sitearch /usr/lib64/python3.14/site-packages --python-version 3.14 --pyproject-record /builddir/build/BUILD/python-scikit-learn-1.8.0-build/python-scikit-learn-1.8.0-1.fc45.aarch64-pyproject-record --prefix /usr sklearn + /usr/bin/find-debuginfo -j4 --strict-build-id -m -i --build-id-seed 1.8.0-1.fc45 --unique-debug-suffix -1.8.0-1.fc45.aarch64 --unique-debug-src-base python-scikit-learn-1.8.0-1.fc45.aarch64 --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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normalized version /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/_loss/tests/__pycache__/test_loss.cpython-314.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 223 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.2BeLt3 + 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 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -mbranch-protection=standard -fasynchronous-unwind-tables -fstack-clash-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS ~/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/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/python3.14/site-packages + pytest sklearn ============================= test session starts ============================== platform linux -- Python 3.14.3, pytest-8.4.2, 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[100%] =============================== warnings summary =============================== 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/python3.14/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/python3.14/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/python3.14/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) sklearn/utils/estimator_checks.py:365 /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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( sklearn/utils/_typedefs.pyx:21 /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/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): 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/python3.14/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/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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_issue3367[42] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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::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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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_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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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: 5.441e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py: 25 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.550e-06, tolerance: 1.134e-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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.788e-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] 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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: 10 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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_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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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: 14 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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: 41 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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: 11 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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: 15 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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::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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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: 13 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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::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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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: 14 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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::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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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::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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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: 59 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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[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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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: 19 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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: 16 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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: 10 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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: 10 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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: 31 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.960e-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_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-lars] 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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_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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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_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-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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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_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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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: 8.058e-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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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: 3.217e-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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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_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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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_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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-lars] 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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_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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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_dict_learning_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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: 1.134e-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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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: 8.058e-08 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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_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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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_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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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] 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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_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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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_dict_learning_online_dtype_match[float32-float32-cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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_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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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_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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.960e-08, tolerance: 3.217e-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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.960e-07, 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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: 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.371e-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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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_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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/site-packages/sklearn/decomposition/_lda.py:921: RuntimeWarning: invalid value encountered in scalar divide perword_bound = bound / word_cnt 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.960e-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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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: 6.145e-08 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-MiniBatchSparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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: 10 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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] 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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] 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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] 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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] 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-MiniBatchSparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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: 1.228e-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-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] 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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] 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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] 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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::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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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] 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-MiniBatchSparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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: 2.711e-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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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: 2.111e-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-MiniBatchSparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA] 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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] 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.146e-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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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: 1.184e-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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-MiniBatchSparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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: 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-MiniBatchSparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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: 2.111e-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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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::test_bagging_regressor_with_missing_inputs sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None] sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None] sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_matrix] sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_array] /usr/lib64/python3.14/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_bagging.py: 8 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/python3.14/site-packages/sklearn/tree/_classes.py:1092: RuntimeWarning: divide by zero encountered in log return np.log(proba) 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: 5 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/python3.14/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/python3.14/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] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/site-packages/_pytest/raises.py:624: 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/python3.14/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/python3.14/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/python3.14/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/python3.14/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: 48 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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/site-packages/sklearn/gaussian_process/_gpr.py:670: ConvergenceWarning: lbfgs failed to converge after 9 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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/site-packages/sklearn/gaussian_process/kernels.py:355: RuntimeWarning: invalid value encountered in log return np.log(np.vstack(bounds)) sklearn/impute/tests/test_common.py: 16 warnings sklearn/impute/tests/test_impute.py: 1 warning /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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_l1_ratio_non_elasticnet 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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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] /usr/lib64/python3.14/site-packages/scipy/_lib/_util.py:1233: LinAlgWarning: Ill-conditioned matrix (rcond=1.99193e-17): result may not be accurate. return f(*arrays, *other_args, **kwargs) sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[wide-42-True-cholesky] sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-True-cholesky] sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-False-cholesky] sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeClassifierCV-3] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/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_regression_convergence_fail /usr/lib64/python3.14/site-packages/scipy/sparse/linalg/_isolve/iterative.py:416: RuntimeWarning: invalid value encountered in scalar divide alpha = rho_cur / dotprod(p, q) 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/python3.14/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/python3.14/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/python3.14/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/python3.14/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] /usr/lib64/python3.14/site-packages/scipy/_lib/_util.py:1233: LinAlgWarning: Ill-conditioned matrix (rcond=5.74507e-17): result may not be accurate. return f(*arrays, *other_args, **kwargs) sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3] /usr/lib64/python3.14/site-packages/scipy/_lib/_util.py:1233: LinAlgWarning: Ill-conditioned matrix (rcond=5.49293e-17): result may not be accurate. return f(*arrays, *other_args, **kwargs) sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3] /usr/lib64/python3.14/site-packages/scipy/_lib/_util.py:1233: LinAlgWarning: Ill-conditioned matrix (rcond=3.15218e-17): result may not be accurate. return f(*arrays, *other_args, **kwargs) 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/python3.14/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/python3.14/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] /usr/lib64/python3.14/site-packages/scipy/_lib/_util.py:1233: LinAlgWarning: Ill-conditioned matrix (rcond=4.53866e-18): result may not be accurate. return f(*arrays, *other_args, **kwargs) 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/python3.14/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] /usr/lib64/python3.14/site-packages/scipy/_lib/_util.py:1233: LinAlgWarning: Ill-conditioned matrix (rcond=7.76968e-17): result may not be accurate. return f(*arrays, *other_args, **kwargs) sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeClassifierCV-3] /usr/lib64/python3.14/site-packages/scipy/_lib/_util.py:1233: LinAlgWarning: Ill-conditioned matrix (rcond=2.38404e-17): result may not be accurate. return f(*arrays, *other_args, **kwargs) sklearn/linear_model/tests/test_ridge.py::test_lbfgs_solver_consistency[0.01] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_ridge.py:371: ConvergenceWarning: The lbfgs solver did not converge. Try increasing max_iter or tol. Currently: max_iter=500000 and tol=1e-16 warnings.warn( sklearn/linear_model/tests/test_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/python3.14/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/python3.14/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/python3.14/site-packages/scipy/sparse/_index.py:168: 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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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-sokalmichener] sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-sokalmichener] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/pairwise.py:2459: DataConversionWarning: Data was converted to boolean for metric sokalmichener warnings.warn(msg, DataConversionWarning) sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-sokalsneath] sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-sokalsneath] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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/python3.14/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 = 33066 passed, 8720 skipped, 149 xfailed, 63 xpassed, 3838 warnings in 616.42s (0:10:16) = + 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-1.8.0-1.fc45.aarch64 Executing(%doc): /bin/sh -e /var/tmp/rpm-tmp.W5lQ5i + 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.k6LBNd + 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 = 1.8.0-1.fc45 python-sklearn = 1.8.0-1.fc45 python3-scikit-learn = 1.8.0-1.fc45 python3-scikit-learn(aarch-64) = 1.8.0-1.fc45 python3.14-scikit-learn = 1.8.0-1.fc45 python3.14-sklearn = 1.8.0-1.fc45 python3.14dist(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 ld-linux-aarch64.so.1()(64bit) ld-linux-aarch64.so.1(GLIBC_2.17)(64bit) 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) = 3.14 python3.14dist(joblib) >= 1.3 python3.14dist(numpy) >= 1.24.1 python3.14dist(scipy) >= 1.10 python3.14dist(threadpoolctl) >= 3.2 rtld(GNU_HASH) Obsoletes: python-sklearn < 1.8.0-1.fc45 python3-scikit_learn < 1.5.2-2 Processing files: python-scikit-learn-debugsource-1.8.0-1.fc45.aarch64 Provides: python-scikit-learn-debugsource = 1.8.0-1.fc45 python-scikit-learn-debugsource(aarch-64) = 1.8.0-1.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-1.8.0-1.fc45.aarch64 Provides: debuginfo(build-id) = 0244d342606c9c0784f9eab2187d00243f638fc5 debuginfo(build-id) = 05820a0b17b80a40eeb4ab26153cee6337bf134a debuginfo(build-id) = 08c3b19bbf3fba86aa8002f17be5ca07528e11d8 debuginfo(build-id) = 0ff4ef99eabfbd9830d4f7075c251f94e726edfc debuginfo(build-id) = 1414a8507f3fe9d34ececa1a63ee99d0a9b97d10 debuginfo(build-id) = 1be9802c078d3b029fff14c6e0a66a703709b5c5 debuginfo(build-id) = 1c2402e57f43f765492f8d6cf6862ecff45c5438 debuginfo(build-id) = 2225e45b972ee34fd2eac994576d23350f7cf597 debuginfo(build-id) = 24fd703e30059a94c8f764f05c977e27c38fcc60 debuginfo(build-id) = 2bc8acb0e9d8180de8eb9f7f0d5739352df49a46 debuginfo(build-id) = 2cf911c53d9827ffaae78beaee18783b033393ea debuginfo(build-id) = 334017cac726f5273ba296bff069b97834a4bf95 debuginfo(build-id) = 33f9e9aa7b53add6520ed30ff30892e71512ec76 debuginfo(build-id) = 37a61f520e55be59322914213744cb8ca73d8a4e debuginfo(build-id) = 3953805d827a84e0d27f4a915ff6847c348b34c8 debuginfo(build-id) = 39c62f51fa5da07c848208b88545ab8ee70eb192 debuginfo(build-id) = 3db10e82e8c426546f5f18161a1edaee1a683ceb debuginfo(build-id) = 43442224d761a0e1dba2955f4ba3afedc0d696f2 debuginfo(build-id) = 44836080ce138dea34f694cd6424b16335ae89ce debuginfo(build-id) = 47ee9b987ec6aa0194bebaa3ab8ff5d69b556df8 debuginfo(build-id) = 4eb9b13da12958db27df4238530d475bc4466143 debuginfo(build-id) = 5b61d2628ec4c8094574bf07a524aa1f5900010e debuginfo(build-id) = 60453bf133554977afa167a53e6dd86ab6fe0227 debuginfo(build-id) = 6788f47a270e05e436dc286c924eaf131f87d6f6 debuginfo(build-id) = 689a7f571b5767626612ecc2af7da1f66dffafa7 debuginfo(build-id) = 6a59c81fc7b26a1226a6b9bc0270b3d374a83dd8 debuginfo(build-id) = 6c4c071aa2bd176ef8e2dfdd9bb9d4d7c3f83f1b debuginfo(build-id) = 72df0977c9afb3b14d217a45dce2dbd6852a486a debuginfo(build-id) = 7433bf7bf361f279bb06931bb13312d0a4e0fcc6 debuginfo(build-id) = 772a165c8fbf8a63f4d23de45f94a7928dfd6bac debuginfo(build-id) = 78a2cea5e2e0a064e94f1c0168371c5a69f3b200 debuginfo(build-id) = 7f91f8da220b34724aa3d4c0255de3935c6987ad debuginfo(build-id) = 8c14c1cebac64763b80aafebd26a5b7e95439d6d debuginfo(build-id) = 8fc74e158f9c23c7438189b0bf357f2944a01981 debuginfo(build-id) = 928df1c60fb06f99e80708c5786a3d65cec17fad debuginfo(build-id) = 94d529a0887621b0af8840d01edf7273a6e9968f debuginfo(build-id) = 9732f997af244b579e70e240f2d8e53392fb93d6 debuginfo(build-id) = 9a5b0168e34e34184a04cf12c4871bf4c8840641 debuginfo(build-id) = 9d03e3ced219ea32e8e8169bd812c3b3e0c7b870 debuginfo(build-id) = a089c26910ace4b3b26a602c1d2ae58058cb5b43 debuginfo(build-id) = a3b50fa5cec3b0c5b22aa5c038c7fa46caa289d6 debuginfo(build-id) = aa2d82fab7ae5d98b4ece5181c0243569d3bb211 debuginfo(build-id) = aefacee3bb2a8ad1fa6f2624719243855b84ee76 debuginfo(build-id) = b361b61afc6f52dafe43db962c8f3ef6688b1ba4 debuginfo(build-id) = b57309dd4bb0067eb96efcfa1b9d96c231ea4fe3 debuginfo(build-id) = b80be7b9e4dd5fc862822e3045218037c70f1493 debuginfo(build-id) = baa0a8a6bc77936c889344affd1b55d9e1059d68 debuginfo(build-id) = bc29e8636d28c37145fb9aa65080a683b06e12d9 debuginfo(build-id) = bdb3e1cb00c35f64e42d0b8b0a528f9c34d0fbd6 debuginfo(build-id) = be5bc3fb40978b71d27542803eba12080f745106 debuginfo(build-id) = c8eceb80377c296ba59af86c798ab531a5fbf7db debuginfo(build-id) = c9f68584d16936147c9120f4c9bceb8dda1e150b debuginfo(build-id) = ce1ebad643e14be763e18a24cb00b272ec095e56 debuginfo(build-id) = d482eb15b1684b0fb7bfefe34062e75c637d3336 debuginfo(build-id) = d9140cdd02bd31383b9e03694b49b1a4af256b3a debuginfo(build-id) = d9cf3a39a25b35f8819b468be755fff095495803 debuginfo(build-id) = e0ed880421fcf723e6b1130ff26e64d9194f5b99 debuginfo(build-id) = e33f40e9b4064c7c3bf6f57692aa3fa6fa95b4bf debuginfo(build-id) = e3e1386b5c8f0bd9d37a04fd3a3027d4c276dafa debuginfo(build-id) = e849e8cd6d72ea1ed0548bfb8e856bb283c87ec5 debuginfo(build-id) = ea40b2d5df2c97a4dd843c10caee3fe8e3ce4de5 debuginfo(build-id) = ea7a2c1db2e5471ec0ea8c1bc20a7959a6058245 debuginfo(build-id) = eac8b223d9094a359f3386c5df6df1aed05de29c debuginfo(build-id) = f365927d54682cc7af9423a4b2952b644175f957 debuginfo(build-id) = f396541e791ca36e8002ec40757500a8b8ee573a debuginfo(build-id) = f43c30cda5aad442176be389e582ff48d77eee68 debuginfo(build-id) = f7a31a793ede96c8cc941e76258633c19e7281b8 debuginfo(build-id) = f911215bf6dfc7373d3bc0b40125cedc9afccdd0 debuginfo(build-id) = fee3570d66129a6d16ffe9e94b36f10481a4538d python-scikit-learn-debuginfo = 1.8.0-1.fc45 python3-scikit-learn-debuginfo = 1.8.0-1.fc45 python3-scikit-learn-debuginfo(aarch-64) = 1.8.0-1.fc45 python3.14-scikit-learn-debuginfo = 1.8.0-1.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(aarch-64) = 1.8.0-1.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-1.8.0-1.fc45.src.rpm Wrote: /builddir/build/RPMS/python-scikit-learn-debugsource-1.8.0-1.fc45.aarch64.rpm Wrote: /builddir/build/RPMS/python3-scikit-learn-debuginfo-1.8.0-1.fc45.aarch64.rpm Wrote: /builddir/build/RPMS/python3-scikit-learn-1.8.0-1.fc45.aarch64.rpm Finish: rpmbuild python-scikit-learn-1.8.0-1.fc45.src.rpm Finish: build phase for python-scikit-learn-1.8.0-1.fc45.src.rpm INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-rawhide-aarch64-1773999075.232124/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-1.8.0-1.fc45.src.rpm) Config(child) 14 minutes 11 seconds INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results INFO: Cleaning up build root ('cleanup_on_success=True') Start: clean chroot INFO: unmounting tmpfs. Finish: clean chroot Finish: run Running FedoraReview tool Running: fedora-review --no-colors --prebuilt --rpm-spec --name python-scikit-learn --mock-config /var/lib/copr-rpmbuild/results/configs/child.cfg cmd: ['fedora-review', '--no-colors', '--prebuilt', '--rpm-spec', '--name', 'python-scikit-learn', '--mock-config', '/var/lib/copr-rpmbuild/results/configs/child.cfg'] cwd: /var/lib/copr-rpmbuild/results rc: 0 stdout: Cache directory "/var/lib/copr-rpmbuild/results/cache/libdnf5" does not exist. Nothing to clean. Review template in: /var/lib/copr-rpmbuild/results/python-scikit-learn/review.txt fedora-review is automated tool, but *YOU* are responsible for manually reviewing the results and finishing the review. Do not just copy-paste the results without understanding them. stderr: INFO: Processing local files: python-scikit-learn INFO: Getting .spec and .srpm Urls from : Local files in /var/lib/copr-rpmbuild/results INFO: --> SRPM url: file:///var/lib/copr-rpmbuild/results/python-scikit-learn-1.8.0-1.fc45.src.rpm INFO: Using review directory: /var/lib/copr-rpmbuild/results/python-scikit-learn INFO: Downloading (Source0): https://files.pythonhosted.org/packages/source/s/scikit_learn/scikit_learn-1.8.0.tar.gz INFO: Running checks and generating report INFO: Installing built package(s) INFO: Reading configuration from /etc/mock/site-defaults.cfg INFO: Reading configuration from /etc/mock/chroot-aliases.cfg INFO: Reading configuration from /var/lib/copr-rpmbuild/results/configs/child.cfg INFO: Active plugins: Python, Shell-api, C/C++, Generic Updating and loading repositories: Repositories loaded. Updating and loading repositories: Repositories loaded. INFO: ExclusiveArch dependency checking disabled, enable with EXARCH flag Cache directory "/var/lib/copr-rpmbuild/results/cache/libdnf5" does not exist. Nothing to clean. Review template in: /var/lib/copr-rpmbuild/results/python-scikit-learn/review.txt fedora-review is automated tool, but *YOU* are responsible for manually reviewing the results and finishing the review. Do not just copy-paste the results without understanding them. Moving the results into `fedora-review' directory. Review template in: /var/lib/copr-rpmbuild/results/fedora-review/review.txt FedoraReview finished Running RPMResults tool Package info: { "packages": [ { "name": "python3-scikit-learn-debuginfo", "epoch": null, "version": "1.8.0", "release": "1.fc45", "arch": "aarch64" }, { "name": "python3-scikit-learn", "epoch": null, "version": "1.8.0", "release": "1.fc45", "arch": "aarch64" }, { "name": "python-scikit-learn-debugsource", "epoch": null, "version": "1.8.0", "release": "1.fc45", "arch": "aarch64" }, { "name": "python-scikit-learn", "epoch": null, "version": "1.8.0", "release": "1.fc45", "arch": "src" } ] } RPMResults finished