Warning: Permanently added '18.215.187.222' (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-s390x --chroot fedora-rawhide-s390x Version: 1.6 PID: 12400 Logging PID: 12402 Task: {'allow_user_ssh': False, 'appstream': False, 'background': False, 'build_id': 10246280, 'buildroot_pkgs': [], 'chroot': 'fedora-rawhide-s390x', '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-s390x/', '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-s390x', '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-h82cqkdy/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-h82cqkdy/python-scikit-learn', '--depth', '500', '--no-single-branch', '--recursive'] cwd: . rc: 0 stdout: stderr: Cloning into '/var/lib/copr-rpmbuild/workspace/workdir-h82cqkdy/python-scikit-learn'... Running: git checkout 66de8c7751a632390e0e0d74ec0fddcea1b341bf -- cmd: ['git', 'checkout', '66de8c7751a632390e0e0d74ec0fddcea1b341bf', '--'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-h82cqkdy/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-h82cqkdy/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 282M 0 --:--:-- --:--:-- --:--:-- 291M 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-h82cqkdy/python-scikit-learn/python-scikit-learn.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-h82cqkdy/python-scikit-learn --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1774346545.628788 -r /var/lib/copr-rpmbuild/results/configs/child.cfg INFO: Unable to build arch s390x natively on arch x86_64. Setting forcearch to use software emulation. 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-h82cqkdy/python-scikit-learn/python-scikit-learn.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-h82cqkdy/python-scikit-learn --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1774346545.628788 -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-h82cqkdy/python-scikit-learn/python-scikit-learn.spec) Config(fedora-rawhide-s390x) 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-s390x-bootstrap-1774346545.628788/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-b943ebfc-a231-4ba9-a558-c854f26f9a8f INFO: Checking that 902befac8b7f361e49e14084125444c7171aa4c10f0fc7c20f944577d273c3f8 image matches host's architecture INFO: Copy content of container 902befac8b7f361e49e14084125444c7171aa4c10f0fc7c20f944577d273c3f8 to /var/lib/mock/fedora-rawhide-s390x-bootstrap-1774346545.628788/root INFO: mounting 902befac8b7f361e49e14084125444c7171aa4c10f0fc7c20f944577d273c3f8 with podman image mount INFO: image 902befac8b7f361e49e14084125444c7171aa4c10f0fc7c20f944577d273c3f8 as /var/lib/containers/storage/overlay/8ae3cb641c0add12a30f433a008e05eaee22b5379553af267b84f24027a0e3bc/merged INFO: umounting image 902befac8b7f361e49e14084125444c7171aa4c10f0fc7c20f944577d273c3f8 (/var/lib/containers/storage/overlay/8ae3cb641c0add12a30f433a008e05eaee22b5379553af267b84f24027a0e3bc/merged) with podman image umount INFO: Removing image mock-bootstrap-b943ebfc-a231-4ba9-a558-c854f26f9a8f 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-s390x-1774346545.628788/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.x86_64 rpm-sequoia-1.10.1-1.fc45.x86_64 dnf5-5.4.0.0-5.fc45.x86_64 dnf5-plugins-5.4.0.0-5.fc45.x86_64 Start: installing minimal buildroot with dnf5 Updating and loading repositories: Copr repository 100% | 11.6 KiB/s | 3.1 KiB | 00m00s fedora 100% | 28.0 MiB/s | 19.6 MiB | 00m01s Repositories loaded. Package Arch Version Repository Size Installing group/module packages: bash s390x 0:5.3.9-3.fc44 fedora 8.6 MiB bzip2 s390x 0:1.0.8-23.fc44 fedora 86.6 KiB coreutils s390x 0:9.10-3.fc45 fedora 5.8 MiB cpio s390x 0:2.15-9.fc44 fedora 1.1 MiB diffutils s390x 0:3.12-5.fc44 fedora 1.6 MiB fedora-release-common noarch 0:45-0.2 fedora 20.6 KiB findutils s390x 1:4.10.0-7.fc44 fedora 1.9 MiB gawk s390x 0:5.4.0-2.fc45 fedora 2.2 MiB glibc-minimal-langpack s390x 0:2.43.9000-4.fc45 fedora 0.0 B grep s390x 0:3.12-3.fc44 fedora 1.0 MiB gzip s390x 0:1.14-2.fc44 fedora 397.2 KiB info s390x 0:7.3-1.fc45 fedora 403.8 KiB patch s390x 0:2.8-4.fc44 fedora 242.2 KiB redhat-rpm-config noarch 0:344-1.fc45 fedora 183.7 KiB rpm-build s390x 0:6.0.1-5.fc45 fedora 280.7 KiB sed s390x 0:4.9-8.fc45 fedora 864.9 KiB shadow-utils s390x 2:4.19.3-1.fc45 fedora 4.0 MiB tar s390x 2:1.35-8.fc44 fedora 3.0 MiB unzip s390x 0:6.0-69.fc44 fedora 433.0 KiB util-linux s390x 0:2.41.3-12.fc44 fedora 3.4 MiB which s390x 0:2.23-4.fc44 fedora 83.1 KiB xz s390x 1:5.8.2-2.fc44 fedora 1.3 MiB Installing dependencies: R-srpm-macros noarch 0:1.3.5-1.fc45 fedora 3.5 KiB add-determinism s390x 0:0.7.3-1.fc45 fedora 2.4 MiB alternatives s390x 0:1.33-5.fc44 fedora 61.8 KiB ansible-srpm-macros noarch 0:1-20.1.fc44 fedora 35.7 KiB audit-libs s390x 0:4.1.4-1.fc45 fedora 393.8 KiB binutils s390x 0:2.46.50-3.fc45 fedora 29.5 MiB build-reproducibility-srpm-macros noarch 0:0.7.3-1.fc45 fedora 1.2 KiB bzip2-libs s390x 0:1.0.8-23.fc44 fedora 84.3 KiB ca-certificates noarch 0:2025.2.80_v9.0.304-6.fc45 fedora 2.7 MiB cmake-srpm-macros noarch 0:4.3.0-1.fc45 fedora 524.0 B coreutils-common s390x 0:9.10-3.fc45 fedora 10.7 MiB crypto-policies noarch 0:20251128-3.git19878fe.fc44 fedora 132.6 KiB curl s390x 0:8.19.0-2.fc45 fedora 502.5 KiB cyrus-sasl-lib s390x 0:2.1.28-35.fc44 fedora 2.4 MiB debugedit s390x 0:5.3-2.fc45 fedora 224.1 KiB dwz s390x 0:0.16-3.fc44 fedora 306.2 KiB ed s390x 0:1.22.5-2.fc45 fedora 149.5 KiB efi-srpm-macros noarch 0:6-6.fc44 fedora 40.2 KiB elfutils s390x 0:0.194-5.fc45 fedora 3.0 MiB elfutils-debuginfod-client s390x 0:0.194-5.fc45 fedora 75.2 KiB elfutils-default-yama-scope noarch 0:0.194-5.fc45 fedora 1.8 KiB elfutils-libelf s390x 0:0.194-5.fc45 fedora 1.1 MiB elfutils-libs s390x 0:0.194-5.fc45 fedora 778.0 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 s390x 0:5.47-1.fc45 fedora 100.9 KiB file-libs s390x 0:5.47-1.fc45 fedora 12.2 MiB filesystem s390x 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 s390x 0:17.1-5.fc45 fedora 16.0 MiB gdbm-libs s390x 1:1.23-11.fc44 fedora 125.2 KiB ghc-srpm-macros noarch 0:1.10-1.fc44 fedora 792.0 B glibc s390x 0:2.43.9000-4.fc45 fedora 5.3 MiB glibc-common s390x 0:2.43.9000-4.fc45 fedora 1.1 MiB glibc-gconv-extra s390x 0:2.43.9000-4.fc45 fedora 6.8 MiB gmp s390x 1:6.3.0-5.fc44 fedora 773.8 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 s390x 0:2.4.9-5.fc44 fedora 6.6 MiB gnupg2-dirmngr s390x 0:2.4.9-5.fc44 fedora 661.2 KiB gnupg2-gpg-agent s390x 0:2.4.9-5.fc44 fedora 721.4 KiB gnupg2-gpgconf s390x 0:2.4.9-5.fc44 fedora 273.1 KiB gnupg2-keyboxd s390x 0:2.4.9-5.fc44 fedora 213.0 KiB gnupg2-verify s390x 0:2.4.9-5.fc44 fedora 364.0 KiB gnutls s390x 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 s390x 0:1.6.2-10.fc45 fedora 56.3 KiB jansson s390x 0:2.14-4.fc44 fedora 88.7 KiB java-srpm-macros noarch 0:1-8.fc44 fedora 870.0 B json-c s390x 0:0.18-8.fc44 fedora 82.3 KiB kernel-srpm-macros noarch 0:1.0-28.fc44 fedora 1.9 KiB keyutils-libs s390x 0:1.6.3-7.fc44 fedora 49.9 KiB krb5-libs s390x 0:1.22.2-2.fc45 fedora 2.5 MiB libacl s390x 0:2.3.2-6.fc44 fedora 35.6 KiB libarchive s390x 0:3.8.6-1.fc45 fedora 1.0 MiB libassuan s390x 0:2.5.7-5.fc44 fedora 163.6 KiB libattr s390x 0:2.5.2-8.fc44 fedora 24.1 KiB libblkid s390x 0:2.41.3-12.fc44 fedora 282.1 KiB libbrotli s390x 0:1.2.0-3.fc44 fedora 912.3 KiB libcap s390x 0:2.77-2.fc44 fedora 210.1 KiB libcap-ng s390x 0:0.9.1-1.fc45 fedora 60.3 KiB libcbor s390x 0:0.13.0-2.fc44 fedora 79.3 KiB libcom_err s390x 0:1.47.4-1.fc45 fedora 58.8 KiB libcurl s390x 0:8.19.0-2.fc45 fedora 1.0 MiB libeconf s390x 0:0.7.9-3.fc44 fedora 64.6 KiB libevent s390x 0:2.1.12-17.fc44 fedora 981.7 KiB libfdisk s390x 0:2.41.3-12.fc44 fedora 394.6 KiB libffi s390x 0:3.5.2-2.fc44 fedora 79.3 KiB libfido2 s390x 0:1.16.0-5.fc44 fedora 238.4 KiB libfsverity s390x 0:1.7-1.fc45 fedora 24.1 KiB libgcc s390x 0:16.0.1-0.10.fc45 fedora 213.6 KiB libgcrypt s390x 0:1.12.1-1.fc45 fedora 1.3 MiB libgomp s390x 0:16.0.1-0.10.fc45 fedora 576.6 KiB libgpg-error s390x 0:1.59-1.fc45 fedora 954.0 KiB libidn2 s390x 0:2.3.8-3.fc44 fedora 560.2 KiB libksba s390x 0:1.6.8-1.fc45 fedora 417.7 KiB liblastlog2 s390x 0:2.41.3-12.fc44 fedora 33.2 KiB libmount s390x 0:2.41.3-12.fc44 fedora 387.9 KiB libnghttp2 s390x 0:1.68.0-3.fc44 fedora 169.7 KiB libnghttp3 s390x 0:1.15.0-1.fc44 fedora 154.4 KiB libpkgconf s390x 0:2.5.1-1.fc45 fedora 93.7 KiB libpsl s390x 0:0.21.5-7.fc44 fedora 76.1 KiB libselinux s390x 0:3.10-1.fc44 fedora 208.9 KiB libselinux-utils s390x 0:3.10-1.fc44 fedora 269.4 KiB libsemanage s390x 0:3.10-1.fc44 fedora 311.8 KiB libsepol s390x 0:3.10-1.fc44 fedora 865.9 KiB libsmartcols s390x 0:2.41.3-12.fc44 fedora 192.1 KiB libssh s390x 0:0.12.0-1.fc45 fedora 702.6 KiB libssh-config noarch 0:0.12.0-1.fc45 fedora 277.0 B libstdc++ s390x 0:16.0.1-0.10.fc45 fedora 3.2 MiB libtasn1 s390x 0:4.21.0-1.fc45 fedora 184.4 KiB libtool-ltdl s390x 0:2.5.4-10.fc44 fedora 69.6 KiB libunistring s390x 0:1.1-11.fc44 fedora 1.8 MiB libusb1 s390x 0:1.0.29-5.fc44 fedora 174.5 KiB libuuid s390x 0:2.41.3-12.fc44 fedora 33.0 KiB libverto s390x 0:0.3.2-12.fc44 fedora 25.0 KiB libxcrypt s390x 0:4.5.2-3.fc44 fedora 289.0 KiB libxml2 s390x 0:2.12.10-6.fc44 fedora 1.9 MiB libzstd s390x 0:1.5.7-5.fc44 fedora 1.0 MiB linkdupes s390x 0:0.7.3-1.fc45 fedora 916.0 KiB lua-libs s390x 0:5.5.0-1.fc45 fedora 341.8 KiB lua-srpm-macros noarch 0:1-17.fc44 fedora 1.3 KiB lz4-libs s390x 0:1.10.0-4.fc44 fedora 197.1 KiB mpfr s390x 0:4.2.2-3.fc44 fedora 699.4 KiB ncurses-base noarch 0:6.6-1.fc44 fedora 329.7 KiB ncurses-libs s390x 0:6.6-1.fc44 fedora 1.0 MiB nettle s390x 0:3.10.1-3.fc44 fedora 837.4 KiB ngtcp2 s390x 0:1.21.0-1.fc45 fedora 316.9 KiB ngtcp2-crypto-ossl s390x 0:1.21.0-1.fc45 fedora 47.2 KiB npth s390x 0:1.8-4.fc44 fedora 45.1 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 s390x 0:2.6.13-1.fc45 fedora 675.3 KiB openssl-libs s390x 1:3.5.5-1.fc44 fedora 7.4 MiB p11-kit s390x 0:0.26.2-1.fc45 fedora 2.9 MiB p11-kit-trust s390x 0:0.26.2-1.fc45 fedora 573.5 KiB package-notes-srpm-macros noarch 0:0.17-3.fc45 fedora 1.6 KiB pam-libs s390x 0:1.7.2-1.fc44 fedora 121.8 KiB pcre2 s390x 0:10.47-1.fc44.1 fedora 729.9 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 s390x 0:2.5.1-1.fc45 fedora 92.5 KiB pkgconf-m4 noarch 0:2.5.1-1.fc45 fedora 14.3 KiB pkgconf-pkg-config s390x 0:2.5.1-1.fc45 fedora 988.0 B policycoreutils s390x 0:3.10-2.fc45 fedora 865.7 KiB popt s390x 0:1.19-10.fc44 fedora 140.4 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 0:3.14-12.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 s390x 0:8.3-4.fc44 fedora 575.1 KiB rpm s390x 0:6.0.1-5.fc45 fedora 3.1 MiB rpm-build-libs s390x 0:6.0.1-5.fc45 fedora 271.8 KiB rpm-libs s390x 0:6.0.1-5.fc45 fedora 1.0 MiB rpm-plugin-selinux s390x 0:6.0.1-5.fc45 fedora 11.6 KiB rpm-sequoia s390x 0:1.10.1-1.fc45 fedora 2.5 MiB rpm-sign-libs s390x 0:6.0.1-5.fc45 fedora 35.4 KiB rust-srpm-macros noarch 0:28.4-3.fc44 fedora 5.5 KiB selinux-policy noarch 0:43.3-1.fc45 fedora 32.0 KiB selinux-policy-targeted noarch 0:43.3-1.fc45 fedora 18.5 MiB setup noarch 0:2.15.0-29.fc45 fedora 724.9 KiB sqlite-libs s390x 0:3.52.0-1.fc45 fedora 1.7 MiB systemd-libs s390x 0:260.1-2.fc45 fedora 2.5 MiB systemd-standalone-sysusers s390x 0:260.1-2.fc45 fedora 835.4 KiB tpm2-tss s390x 0:4.1.3-9.fc44 fedora 1.6 MiB tree-sitter-srpm-macros noarch 0:0.4.2-2.fc44 fedora 8.3 KiB util-linux-core s390x 0:2.41.3-12.fc44 fedora 1.4 MiB xxhash-libs s390x 0:0.8.3-4.fc44 fedora 65.6 KiB xz-libs s390x 1:5.8.2-2.fc44 fedora 221.2 KiB zig-srpm-macros noarch 0:1-8.fc44 fedora 1.3 KiB zip s390x 0:3.0-45.fc44 fedora 729.1 KiB zlib-ng-compat s390x 0:2.3.3-5.fc45 fedora 125.1 KiB zstd s390x 0:1.5.7-5.fc44 fedora 509.6 KiB Installing groups: Buildsystem building group Transaction Summary: Installing: 185 packages Total size of inbound packages is 69 MiB. Need to download 69 MiB. After this operation, 226 MiB extra will be used (install 226 MiB, remove 0 B). [ 1/185] bzip2-0:1.0.8-23.fc44.s390x 100% | 5.1 MiB/s | 52.6 KiB | 00m00s [ 2/185] cpio-0:2.15-9.fc44.s390x 100% | 58.1 MiB/s | 297.4 KiB | 00m00s [ 3/185] diffutils-0:3.12-5.fc44.s390x 100% | 56.5 MiB/s | 404.9 KiB | 00m00s [ 4/185] bash-0:5.3.9-3.fc44.s390x 100% | 76.5 MiB/s | 1.9 MiB | 00m00s [ 5/185] fedora-release-common-0:45-0. 100% | 11.7 MiB/s | 23.9 KiB | 00m00s [ 6/185] findutils-1:4.10.0-7.fc44.s39 100% | 135.4 MiB/s | 554.7 KiB | 00m00s [ 7/185] gawk-0:5.4.0-2.fc45.s390x 100% | 130.8 MiB/s | 1.2 MiB | 00m00s [ 8/185] glibc-minimal-langpack-0:2.43 100% | 16.7 MiB/s | 85.3 KiB | 00m00s [ 9/185] coreutils-0:9.10-3.fc45.s390x 100% | 29.8 MiB/s | 1.2 MiB | 00m00s [ 10/185] grep-0:3.12-3.fc44.s390x 100% | 49.5 MiB/s | 304.3 KiB | 00m00s [ 11/185] gzip-0:1.14-2.fc44.s390x 100% | 34.9 MiB/s | 178.7 KiB | 00m00s [ 12/185] info-0:7.3-1.fc45.s390x 100% | 64.1 MiB/s | 196.9 KiB | 00m00s [ 13/185] patch-0:2.8-4.fc44.s390x 100% | 39.8 MiB/s | 122.3 KiB | 00m00s [ 14/185] 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88.9 MiB/s | 455.1 KiB | 00m00s [156/185] libevent-0:2.1.12-17.fc44.s39 100% | 68.9 MiB/s | 282.1 KiB | 00m00s [157/185] cyrus-sasl-lib-0:2.1.28-35.fc 100% | 72.7 MiB/s | 818.6 KiB | 00m00s [158/185] libtool-ltdl-0:2.5.4-10.fc44. 100% | 4.5 MiB/s | 36.7 KiB | 00m00s [159/185] gdbm-libs-1:1.23-11.fc44.s390 100% | 11.3 MiB/s | 57.9 KiB | 00m00s [160/185] fedora-release-0:45-0.2.noarc 100% | 2.5 MiB/s | 12.8 KiB | 00m00s [161/185] systemd-standalone-sysusers-0 100% | 38.8 MiB/s | 357.5 KiB | 00m00s [162/185] xxhash-libs-0:0.8.3-4.fc44.s3 100% | 5.1 MiB/s | 36.7 KiB | 00m00s [163/185] fedora-release-identity-basic 100% | 3.3 MiB/s | 13.5 KiB | 00m00s [164/185] libcurl-0:8.19.0-2.fc45.s390x 100% | 109.3 MiB/s | 447.7 KiB | 00m00s [165/185] krb5-libs-0:1.22.2-2.fc45.s39 100% | 110.7 MiB/s | 793.7 KiB | 00m00s [166/185] gdb-minimal-0:17.1-5.fc45.s39 100% | 186.3 MiB/s | 4.8 MiB | 00m00s [167/185] libbrotli-0:1.2.0-3.fc44.s390 100% | 33.7 MiB/s | 379.3 KiB | 00m00s [168/185] libnghttp2-0:1.68.0-3.fc44.s3 100% | 10.8 MiB/s | 77.4 KiB | 00m00s [169/185] libnghttp3-0:1.15.0-1.fc44.s3 100% | 34.3 MiB/s | 70.3 KiB | 00m00s [170/185] libpsl-0:0.21.5-7.fc44.s390x 100% | 21.2 MiB/s | 65.1 KiB | 00m00s [171/185] libssh-0:0.12.0-1.fc45.s390x 100% | 90.3 MiB/s | 277.5 KiB | 00m00s [172/185] ngtcp2-0:1.21.0-1.fc45.s390x 100% | 49.3 MiB/s | 151.4 KiB | 00m00s [173/185] ngtcp2-crypto-ossl-0:1.21.0-1 100% | 12.4 MiB/s | 25.5 KiB | 00m00s [174/185] keyutils-libs-0:1.6.3-7.fc44. 100% | 15.2 MiB/s | 31.1 KiB | 00m00s [175/185] libcom_err-0:1.47.4-1.fc45.s3 100% | 13.0 MiB/s | 26.6 KiB | 00m00s [176/185] libverto-0:0.3.2-12.fc44.s390 100% | 6.7 MiB/s | 20.6 KiB | 00m00s [177/185] publicsuffix-list-dafsa-0:202 100% | 19.6 MiB/s | 60.3 KiB | 00m00s [178/185] libfido2-0:1.16.0-5.fc44.s390 100% | 30.6 MiB/s | 93.9 KiB | 00m00s [179/185] libssh-config-0:0.12.0-1.fc45 100% | 4.6 MiB/s | 9.4 KiB | 00m00s [180/185] libcbor-0:0.13.0-2.fc44.s390x 100% | 11.4 MiB/s | 34.9 KiB | 00m00s [181/185] policycoreutils-0:3.10-2.fc45 100% | 50.8 MiB/s | 260.3 KiB | 00m00s [182/185] selinux-policy-0:43.3-1.fc45. 100% | 9.9 MiB/s | 71.3 KiB | 00m00s [183/185] libselinux-utils-0:3.10-1.fc4 100% | 29.3 MiB/s | 119.9 KiB | 00m00s [184/185] rpm-plugin-selinux-0:6.0.1-5. 100% | 9.2 MiB/s | 18.8 KiB | 00m00s [185/185] selinux-policy-targeted-0:43. 100% | 46.7 MiB/s | 6.8 MiB | 00m00s -------------------------------------------------------------------------------- [185/185] Total 100% | 142.9 MiB/s | 69.5 MiB | 00m00s 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% | 708.0 B/s | 185.0 B | 00m00s [ 2/187] Prepare transaction 100% | 3.3 KiB/s | 185.0 B | 00m00s [ 3/187] Installing libgcc-0:16.0.1-0. 100% | 210.3 MiB/s | 215.3 KiB | 00m00s [ 4/187] Installing libssh-config-0:0. 100% | 0.0 B/s | 816.0 B | 00m00s [ 5/187] Installing publicsuffix-list- 100% | 0.0 B/s | 71.1 KiB | 00m00s [ 6/187] Installing fedora-release-ide 100% | 0.0 B/s | 920.0 B | 00m00s [ 7/187] Installing fedora-gpg-keys-0: 100% | 44.5 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% | 39.6 MiB/s | 730.6 KiB | 00m00s >>> [RPM] /etc/hosts created as /etc/hosts.rpmnew [ 13/187] Installing filesystem-0:3.18- 100% | 2.9 MiB/s | 289.4 KiB | 00m00s [ 14/187] Installing pkgconf-m4-0:2.5.1 100% | 0.0 B/s | 14.7 KiB | 00m00s [ 15/187] Installing pcre2-syntax-0:10. 100% | 277.7 MiB/s | 284.3 KiB | 00m00s [ 16/187] Installing gnulib-l10n-0:2024 100% | 215.5 MiB/s | 661.9 KiB | 00m00s [ 17/187] Installing coreutils-common-0 100% | 395.8 MiB/s | 10.7 MiB | 00m00s [ 18/187] Installing ncurses-base-0:6.6 100% | 86.7 MiB/s | 355.3 KiB | 00m00s [ 19/187] Installing bash-0:5.3.9-3.fc4 100% | 253.9 MiB/s | 8.6 MiB | 00m00s [ 20/187] Installing glibc-common-0:2.4 100% | 51.5 MiB/s | 1.1 MiB | 00m00s [ 21/187] Installing glibc-gconv-extra- 100% | 285.9 MiB/s | 6.9 MiB | 00m00s [ 22/187] Installing glibc-0:2.43.9000- 100% | 5.4 MiB/s | 5.3 MiB | 00m01s [ 23/187] Installing ncurses-libs-0:6.6 100% | 252.3 MiB/s | 1.0 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% | 123.0 MiB/s | 125.9 KiB | 00m00s [ 26/187] Installing bzip2-libs-0:1.0.8 100% | 83.4 MiB/s | 85.4 KiB | 00m00s [ 27/187] Installing libgpg-error-0:1.5 100% | 49.3 MiB/s | 959.9 KiB | 00m00s [ 28/187] Installing libstdc++-0:16.0.1 100% | 400.5 MiB/s | 3.2 MiB | 00m00s [ 29/187] Installing libassuan-0:2.5.7- 100% | 161.5 MiB/s | 165.4 KiB | 00m00s [ 30/187] Installing libgcrypt-0:1.12.1 100% | 326.1 MiB/s | 1.3 MiB | 00m00s [ 31/187] Installing readline-0:8.3-4.f 100% | 281.8 MiB/s | 577.2 KiB | 00m00s [ 32/187] Installing gmp-1:6.3.0-5.fc44 100% | 378.9 MiB/s | 776.0 KiB | 00m00s [ 33/187] Installing libuuid-0:2.41.3-1 100% | 0.0 B/s | 34.0 KiB | 00m00s [ 34/187] Installing xz-libs-1:5.8.2-2. 100% | 217.1 MiB/s | 222.3 KiB | 00m00s [ 35/187] Installing systemd-libs-0:260 100% | 361.9 MiB/s | 2.5 MiB | 00m00s [ 36/187] Installing popt-0:1.19-10.fc4 100% | 71.8 MiB/s | 147.0 KiB | 00m00s [ 37/187] Installing libzstd-0:1.5.7-5. 100% | 342.9 MiB/s | 1.0 MiB | 00m00s [ 38/187] Installing elfutils-libelf-0: 100% | 378.8 MiB/s | 1.1 MiB | 00m00s [ 39/187] Installing npth-0:1.8-4.fc44. 100% | 0.0 B/s | 46.2 KiB | 00m00s [ 40/187] Installing libblkid-0:2.41.3- 100% | 276.6 MiB/s | 283.2 KiB | 00m00s [ 41/187] Installing libsepol-0:3.10-1. 100% | 423.3 MiB/s | 866.9 KiB | 00m00s [ 42/187] Installing sqlite-libs-0:3.52 100% | 340.9 MiB/s | 1.7 MiB | 00m00s [ 43/187] Installing gnupg2-gpgconf-0:2 100% | 15.8 MiB/s | 275.2 KiB | 00m00s [ 44/187] Installing libattr-0:2.5.2-8. 100% | 0.0 B/s | 25.0 KiB | 00m00s [ 45/187] Installing libacl-0:2.3.2-6.f 100% | 0.0 B/s | 36.4 KiB | 00m00s [ 46/187] Installing pcre2-0:10.47-1.fc 100% | 357.1 MiB/s | 731.3 KiB | 00m00s [ 47/187] Installing libselinux-0:3.10- 100% | 205.2 MiB/s | 210.1 KiB | 00m00s [ 48/187] Installing grep-0:3.12-3.fc44 100% | 53.4 MiB/s | 1.0 MiB | 00m00s [ 49/187] Installing sed-0:4.9-8.fc45.s 100% | 44.9 MiB/s | 873.0 KiB | 00m00s [ 50/187] Installing findutils-1:4.10.0 100% | 89.5 MiB/s | 1.9 MiB | 00m00s [ 51/187] Installing libxcrypt-0:4.5.2- 100% | 284.8 MiB/s | 291.7 KiB | 00m00s [ 52/187] Installing libtasn1-0:4.21.0- 100% | 181.9 MiB/s | 186.2 KiB | 00m00s [ 53/187] Installing libunistring-0:1.1 100% | 353.8 MiB/s | 1.8 MiB | 00m00s [ 54/187] Installing libidn2-0:2.3.8-3. 100% | 6.7 MiB/s | 566.3 KiB | 00m00s [ 55/187] Installing crypto-policies-0: 100% | 30.8 MiB/s | 157.7 KiB | 00m00s [ 56/187] Installing xz-1:5.8.2-2.fc44. 100% | 59.5 MiB/s | 1.4 MiB | 00m00s [ 57/187] Installing libmount-0:2.41.3- 100% | 379.8 MiB/s | 388.9 KiB | 00m00s [ 58/187] Installing gnupg2-verify-0:2. 100% | 21.0 MiB/s | 365.4 KiB | 00m00s [ 59/187] Installing dwz-0:0.16-3.fc44. 100% | 17.7 MiB/s | 307.6 KiB | 00m00s [ 60/187] Installing mpfr-0:4.2.2-3.fc4 100% | 342.3 MiB/s | 701.0 KiB | 00m00s [ 61/187] Installing gawk-0:5.4.0-2.fc4 100% | 102.0 MiB/s | 2.2 MiB | 00m00s [ 62/187] Installing libksba-0:1.6.8-1. 100% | 205.2 MiB/s | 420.2 KiB | 00m00s [ 63/187] Installing unzip-0:6.0-69.fc4 100% | 25.1 MiB/s | 436.5 KiB | 00m00s [ 64/187] Installing file-libs-0:5.47-1 100% | 717.0 MiB/s | 12.2 MiB | 00m00s [ 65/187] Installing file-0:5.47-1.fc45 100% | 6.2 MiB/s | 102.4 KiB | 00m00s [ 66/187] Installing diffutils-0:3.12-5 100% | 79.3 MiB/s | 1.6 MiB | 00m00s [ 67/187] Installing libeconf-0:0.7.9-3 100% | 64.7 MiB/s | 66.2 KiB | 00m00s [ 68/187] Installing libcap-ng-0:0.9.1- 100% | 60.7 MiB/s | 62.1 KiB | 00m00s [ 69/187] Installing audit-libs-0:4.1.4 100% | 193.5 MiB/s | 396.3 KiB | 00m00s [ 70/187] Installing pam-libs-0:1.7.2-1 100% | 121.2 MiB/s | 124.1 KiB | 00m00s [ 71/187] Installing libcap-0:2.77-2.fc 100% | 12.4 MiB/s | 215.3 KiB | 00m00s [ 72/187] Installing libsemanage-0:3.10 100% | 306.3 MiB/s | 313.6 KiB | 00m00s [ 73/187] Installing libsmartcols-0:2.4 100% | 188.7 MiB/s | 193.2 KiB | 00m00s [ 74/187] Installing alternatives-0:1.3 100% | 3.9 MiB/s | 63.4 KiB | 00m00s [ 75/187] Installing lua-libs-0:5.5.0-1 100% | 335.3 MiB/s | 343.3 KiB | 00m00s [ 76/187] Installing libffi-0:3.5.2-2.f 100% | 78.8 MiB/s | 80.7 KiB | 00m00s [ 77/187] Installing p11-kit-0:0.26.2-1 100% | 122.2 MiB/s | 2.9 MiB | 00m00s [ 78/187] Installing p11-kit-trust-0:0. 100% | 5.0 MiB/s | 575.3 KiB | 00m00s [ 79/187] Installing json-c-0:0.18-8.fc 100% | 81.6 MiB/s | 83.5 KiB | 00m00s [ 80/187] Installing ngtcp2-0:1.21.0-1. 100% | 310.9 MiB/s | 318.4 KiB | 00m00s [ 81/187] Installing openssl-libs-1:3.5 100% | 351.2 MiB/s | 7.4 MiB | 00m00s [ 82/187] Installing coreutils-0:9.10-3 100% | 64.3 MiB/s | 5.8 MiB | 00m00s [ 83/187] Installing ca-certificates-0: 100% | 81.6 KiB/s | 2.5 MiB | 00m31s [ 84/187] Installing gzip-0:1.14-2.fc44 100% | 20.7 MiB/s | 402.7 KiB | 00m00s [ 85/187] Installing rpm-sequoia-0:1.10 100% | 358.2 MiB/s | 2.5 MiB | 00m00s [ 86/187] Installing libfsverity-0:1.7- 100% | 0.0 B/s | 25.1 KiB | 00m00s [ 87/187] Installing libevent-0:2.1.12- 100% | 320.8 MiB/s | 985.4 KiB | 00m00s [ 88/187] Installing systemd-standalone 100% | 45.4 MiB/s | 836.0 KiB | 00m00s [ 89/187] Installing rpm-libs-0:6.0.1-5 100% | 329.5 MiB/s | 1.0 MiB | 00m00s [ 90/187] Installing ngtcp2-crypto-ossl 100% | 46.9 MiB/s | 48.1 KiB | 00m00s [ 91/187] Installing util-linux-core-0: 100% | 64.7 MiB/s | 1.4 MiB | 00m00s [ 92/187] Installing zip-0:3.0-45.fc44. 100% | 39.8 MiB/s | 733.0 KiB | 00m00s [ 93/187] Installing gnupg2-keyboxd-0:2 100% | 3.2 MiB/s | 214.2 KiB | 00m00s [ 94/187] Installing libpsl-0:0.21.5-7. 100% | 75.4 MiB/s | 77.2 KiB | 00m00s [ 95/187] Installing tar-2:1.35-8.fc44. 100% | 116.3 MiB/s | 3.0 MiB | 00m00s [ 96/187] Installing linkdupes-0:0.7.3- 100% | 49.8 MiB/s | 917.4 KiB | 00m00s [ 97/187] Installing libselinux-utils-0 100% | 15.4 MiB/s | 283.8 KiB | 00m00s [ 98/187] Installing liblastlog2-0:2.41 100% | 606.7 KiB/s | 35.2 KiB | 00m00s [ 99/187] Installing libfdisk-0:2.41.3- 100% | 128.8 MiB/s | 395.7 KiB | 00m00s [100/187] Installing util-linux-0:2.41. 100% | 36.1 MiB/s | 3.4 MiB | 00m00s [101/187] Installing policycoreutils-0: 100% | 10.4 MiB/s | 894.2 KiB | 00m00s [102/187] Installing selinux-policy-0:4 100% | 129.8 KiB/s | 33.6 KiB | 00m00s [103/187] Installing selinux-policy-tar 100% | 86.9 MiB/s | 14.8 MiB | 00m00s [104/187] Installing zstd-0:1.5.7-5.fc4 100% | 25.1 MiB/s | 513.2 KiB | 00m00s [105/187] Installing libusb1-0:1.0.29-5 100% | 24.6 MiB/s | 176.2 KiB | 00m00s >>> Running sysusers scriptlet: tpm2-tss-0:4.1.3-9.fc44.s390x >>> Finished sysusers scriptlet: tpm2-tss-0:4.1.3-9.fc44.s390x >>> 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% | 267.7 MiB/s | 1.6 MiB | 00m00s [107/187] Installing ima-evm-utils-libs 100% | 56.3 MiB/s | 57.6 KiB | 00m00s [108/187] Installing gnupg2-gpg-agent-0 100% | 8.7 MiB/s | 725.4 KiB | 00m00s [109/187] Installing libxml2-0:2.12.10- 100% | 88.9 MiB/s | 1.9 MiB | 00m00s [110/187] Installing nettle-0:3.10.1-3. 100% | 273.6 MiB/s | 840.6 KiB | 00m00s [111/187] Installing gnutls-0:3.8.12-1. 100% | 397.4 MiB/s | 3.6 MiB | 00m00s [112/187] Installing bzip2-0:1.0.8-23.f 100% | 5.2 MiB/s | 91.1 KiB | 00m00s [113/187] Installing add-determinism-0: 100% | 108.5 MiB/s | 2.4 MiB | 00m00s [114/187] Installing build-reproducibil 100% | 0.0 B/s | 1.5 KiB | 00m00s [115/187] Installing cpio-0:2.15-9.fc44 100% | 58.7 MiB/s | 1.1 MiB | 00m00s [116/187] Installing ed-0:1.22.5-2.fc45 100% | 9.3 MiB/s | 151.8 KiB | 00m00s [117/187] Installing patch-0:2.8-4.fc44 100% | 14.9 MiB/s | 243.7 KiB | 00m00s [118/187] Installing jansson-0:2.14-4.f 100% | 88.0 MiB/s | 90.1 KiB | 00m00s [119/187] Installing lz4-libs-0:1.10.0- 100% | 193.5 MiB/s | 198.1 KiB | 00m00s [120/187] Installing libarchive-0:3.8.6 100% | 341.5 MiB/s | 1.0 MiB | 00m00s [121/187] Installing libgomp-0:16.0.1-0 100% | 282.2 MiB/s | 578.0 KiB | 00m00s [122/187] Installing libpkgconf-0:2.5.1 100% | 92.6 MiB/s | 94.9 KiB | 00m00s [123/187] Installing pkgconf-0:2.5.1-1. 100% | 5.8 MiB/s | 95.0 KiB | 00m00s [124/187] Installing pkgconf-pkg-config 100% | 110.8 KiB/s | 1.8 KiB | 00m00s [125/187] Installing libtool-ltdl-0:2.5 100% | 69.1 MiB/s | 70.7 KiB | 00m00s [126/187] Installing gdbm-libs-1:1.23-1 100% | 123.9 MiB/s | 126.9 KiB | 00m00s [127/187] Installing cyrus-sasl-lib-0:2 100% | 112.3 MiB/s | 2.4 MiB | 00m00s [128/187] Installing openldap-0:2.6.13- 100% | 221.1 MiB/s | 679.1 KiB | 00m00s [129/187] Installing gnupg2-dirmngr-0:2 100% | 7.5 MiB/s | 663.9 KiB | 00m00s [130/187] Installing gnupg2-0:2.4.9-5.f 100% | 199.2 MiB/s | 6.6 MiB | 00m00s [131/187] Installing rpm-sign-libs-0:6. 100% | 35.4 MiB/s | 36.2 KiB | 00m00s [132/187] Installing gpgverify-0:2.2-4. 100% | 0.0 B/s | 9.4 KiB | 00m00s [133/187] Installing xxhash-libs-0:0.8. 100% | 65.4 MiB/s | 67.0 KiB | 00m00s [134/187] Installing libbrotli-0:1.2.0- 100% | 297.7 MiB/s | 914.6 KiB | 00m00s [135/187] Installing libnghttp2-0:1.68. 100% | 166.8 MiB/s | 170.8 KiB | 00m00s [136/187] Installing libnghttp3-0:1.15. 100% | 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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.s390x alternatives-1.33-5.fc44.s390x ansible-srpm-macros-1-20.1.fc44.noarch audit-libs-4.1.4-1.fc45.s390x bash-5.3.9-3.fc44.s390x binutils-2.46.50-3.fc45.s390x build-reproducibility-srpm-macros-0.7.3-1.fc45.noarch bzip2-1.0.8-23.fc44.s390x bzip2-libs-1.0.8-23.fc44.s390x ca-certificates-2025.2.80_v9.0.304-6.fc45.noarch cmake-srpm-macros-4.3.0-1.fc45.noarch coreutils-9.10-3.fc45.s390x coreutils-common-9.10-3.fc45.s390x cpio-2.15-9.fc44.s390x crypto-policies-20251128-3.git19878fe.fc44.noarch curl-8.19.0-2.fc45.s390x cyrus-sasl-lib-2.1.28-35.fc44.s390x debugedit-5.3-2.fc45.s390x diffutils-3.12-5.fc44.s390x dwz-0.16-3.fc44.s390x ed-1.22.5-2.fc45.s390x efi-srpm-macros-6-6.fc44.noarch elfutils-0.194-5.fc45.s390x elfutils-debuginfod-client-0.194-5.fc45.s390x elfutils-default-yama-scope-0.194-5.fc45.noarch elfutils-libelf-0.194-5.fc45.s390x elfutils-libs-0.194-5.fc45.s390x 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.s390x file-libs-5.47-1.fc45.s390x filesystem-3.18-56.fc45.s390x filesystem-srpm-macros-3.18-56.fc45.noarch findutils-4.10.0-7.fc44.s390x 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.s390x gdb-minimal-17.1-5.fc45.s390x gdbm-libs-1.23-11.fc44.s390x ghc-srpm-macros-1.10-1.fc44.noarch glibc-2.43.9000-4.fc45.s390x glibc-common-2.43.9000-4.fc45.s390x glibc-gconv-extra-2.43.9000-4.fc45.s390x glibc-minimal-langpack-2.43.9000-4.fc45.s390x gmp-6.3.0-5.fc44.s390x gnat-srpm-macros-7-2.fc44.noarch gnulib-l10n-20241231-2.fc44.noarch gnupg2-2.4.9-5.fc44.s390x gnupg2-dirmngr-2.4.9-5.fc44.s390x gnupg2-gpg-agent-2.4.9-5.fc44.s390x gnupg2-gpgconf-2.4.9-5.fc44.s390x gnupg2-keyboxd-2.4.9-5.fc44.s390x gnupg2-verify-2.4.9-5.fc44.s390x gnutls-3.8.12-1.fc45.s390x 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.s390x gzip-1.14-2.fc44.s390x ima-evm-utils-libs-1.6.2-10.fc45.s390x info-7.3-1.fc45.s390x jansson-2.14-4.fc44.s390x java-srpm-macros-1-8.fc44.noarch json-c-0.18-8.fc44.s390x kernel-srpm-macros-1.0-28.fc44.noarch keyutils-libs-1.6.3-7.fc44.s390x krb5-libs-1.22.2-2.fc45.s390x libacl-2.3.2-6.fc44.s390x libarchive-3.8.6-1.fc45.s390x libassuan-2.5.7-5.fc44.s390x libattr-2.5.2-8.fc44.s390x libblkid-2.41.3-12.fc44.s390x libbrotli-1.2.0-3.fc44.s390x libcap-2.77-2.fc44.s390x libcap-ng-0.9.1-1.fc45.s390x libcbor-0.13.0-2.fc44.s390x libcom_err-1.47.4-1.fc45.s390x libcurl-8.19.0-2.fc45.s390x libeconf-0.7.9-3.fc44.s390x libevent-2.1.12-17.fc44.s390x libfdisk-2.41.3-12.fc44.s390x libffi-3.5.2-2.fc44.s390x libfido2-1.16.0-5.fc44.s390x libfsverity-1.7-1.fc45.s390x libgcc-16.0.1-0.10.fc45.s390x libgcrypt-1.12.1-1.fc45.s390x libgomp-16.0.1-0.10.fc45.s390x libgpg-error-1.59-1.fc45.s390x libidn2-2.3.8-3.fc44.s390x libksba-1.6.8-1.fc45.s390x liblastlog2-2.41.3-12.fc44.s390x libmount-2.41.3-12.fc44.s390x libnghttp2-1.68.0-3.fc44.s390x libnghttp3-1.15.0-1.fc44.s390x libpkgconf-2.5.1-1.fc45.s390x libpsl-0.21.5-7.fc44.s390x libselinux-3.10-1.fc44.s390x libselinux-utils-3.10-1.fc44.s390x libsemanage-3.10-1.fc44.s390x libsepol-3.10-1.fc44.s390x libsmartcols-2.41.3-12.fc44.s390x libssh-0.12.0-1.fc45.s390x libssh-config-0.12.0-1.fc45.noarch libstdc++-16.0.1-0.10.fc45.s390x libtasn1-4.21.0-1.fc45.s390x libtool-ltdl-2.5.4-10.fc44.s390x libunistring-1.1-11.fc44.s390x libusb1-1.0.29-5.fc44.s390x libuuid-2.41.3-12.fc44.s390x libverto-0.3.2-12.fc44.s390x libxcrypt-4.5.2-3.fc44.s390x libxml2-2.12.10-6.fc44.s390x libzstd-1.5.7-5.fc44.s390x linkdupes-0.7.3-1.fc45.s390x lua-libs-5.5.0-1.fc45.s390x lua-srpm-macros-1-17.fc44.noarch lz4-libs-1.10.0-4.fc44.s390x mpfr-4.2.2-3.fc44.s390x ncurses-base-6.6-1.fc44.noarch ncurses-libs-6.6-1.fc44.s390x nettle-3.10.1-3.fc44.s390x ngtcp2-1.21.0-1.fc45.s390x ngtcp2-crypto-ossl-1.21.0-1.fc45.s390x npth-1.8-4.fc44.s390x ocaml-srpm-macros-11-3.fc44.noarch openblas-srpm-macros-2-21.fc44.noarch openldap-2.6.13-1.fc45.s390x openssl-libs-3.5.5-1.fc44.s390x p11-kit-0.26.2-1.fc45.s390x p11-kit-trust-0.26.2-1.fc45.s390x package-notes-srpm-macros-0.17-3.fc45.noarch pam-libs-1.7.2-1.fc44.s390x patch-2.8-4.fc44.s390x pcre2-10.47-1.fc44.1.s390x pcre2-syntax-10.47-1.fc44.1.noarch perl-srpm-macros-1-61.fc44.noarch pkgconf-2.5.1-1.fc45.s390x pkgconf-m4-2.5.1-1.fc45.noarch pkgconf-pkg-config-2.5.1-1.fc45.s390x policycoreutils-3.10-2.fc45.s390x popt-1.19-10.fc44.s390x publicsuffix-list-dafsa-20260116-1.fc44.noarch pyproject-srpm-macros-1.18.7-1.fc45.noarch python-srpm-macros-3.14-12.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.s390x redhat-rpm-config-344-1.fc45.noarch rpm-6.0.1-5.fc45.s390x rpm-build-6.0.1-5.fc45.s390x rpm-build-libs-6.0.1-5.fc45.s390x rpm-libs-6.0.1-5.fc45.s390x rpm-plugin-selinux-6.0.1-5.fc45.s390x rpm-sequoia-1.10.1-1.fc45.s390x rpm-sign-libs-6.0.1-5.fc45.s390x rust-srpm-macros-28.4-3.fc44.noarch sed-4.9-8.fc45.s390x selinux-policy-43.3-1.fc45.noarch selinux-policy-targeted-43.3-1.fc45.noarch setup-2.15.0-29.fc45.noarch shadow-utils-4.19.3-1.fc45.s390x sqlite-libs-3.52.0-1.fc45.s390x systemd-libs-260.1-2.fc45.s390x systemd-standalone-sysusers-260.1-2.fc45.s390x tar-1.35-8.fc44.s390x tpm2-tss-4.1.3-9.fc44.s390x tree-sitter-srpm-macros-0.4.2-2.fc44.noarch unzip-6.0-69.fc44.s390x util-linux-2.41.3-12.fc44.s390x util-linux-core-2.41.3-12.fc44.s390x which-2.23-4.fc44.s390x xxhash-libs-0.8.3-4.fc44.s390x xz-5.8.2-2.fc44.s390x xz-libs-5.8.2-2.fc44.s390x zig-srpm-macros-1-8.fc44.noarch zip-3.0-45.fc44.s390x zlib-ng-compat-2.3.3-5.fc45.s390x zstd-1.5.7-5.fc44.s390x Start: buildsrpm Start: rpmbuild -bs Building target platforms: s390x Building for target s390x 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-s390x-1774346545.628788/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-h82cqkdy/python-scikit-learn/python-scikit-learn.spec) Config(child) 2 minutes 1 seconds INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results INFO: Cleaning up build root ('cleanup_on_success=True') Start: clean chroot INFO: unmounting tmpfs. Finish: clean chroot INFO: Start(/var/lib/copr-rpmbuild/results/python-scikit-learn-1.8.0-1.fc45.src.rpm) Config(fedora-rawhide-s390x) Start(bootstrap): chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-s390x-bootstrap-1774346545.628788/root. INFO: reusing tmpfs at /var/lib/mock/fedora-rawhide-s390x-bootstrap-1774346545.628788/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-s390x-1774346545.628788/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.x86_64 rpm-sequoia-1.10.1-1.fc45.x86_64 dnf5-5.4.0.0-5.fc45.x86_64 dnf5-plugins-5.4.0.0-5.fc45.x86_64 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: s390x Building for target s390x 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% | 11.8 KiB/s | 3.9 KiB | 00m00s Copr repository 100% | 11.2 KiB/s | 1.5 KiB | 00m00s Repositories loaded. Package Arch Version Repository Size Installing: gcc s390x 0:16.0.1-0.10.fc45 fedora 88.4 MiB gcc-c++ s390x 0:16.0.1-0.10.fc45 fedora 34.7 MiB python3-devel s390x 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 s390x 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 s390x 0:13.07-1.fc45 fedora 696.7 KiB cpp s390x 0:16.0.1-0.10.fc45 fedora 30.6 MiB expat s390x 0:2.7.5-1.fc45 fedora 342.4 KiB gcc-plugin-annobin s390x 0:16.0.1-0.10.fc45 fedora 52.8 KiB glibc-devel s390x 0:2.43.9000-4.fc45 fedora 3.7 MiB kernel-headers s390x 0:7.0.0-0.rc5.43.fc45 fedora 6.9 MiB libasan s390x 0:16.0.1-0.10.fc45 fedora 1.9 MiB libatomic s390x 0:16.0.1-0.10.fc45 fedora 37.1 KiB libmpc s390x 0:1.4.0-1.fc45 fedora 165.1 KiB libstdc++-devel s390x 0:16.0.1-0.10.fc45 fedora 38.3 MiB libubsan s390x 0:16.0.1-0.10.fc45 fedora 499.8 KiB libxcrypt-devel s390x 0:4.5.2-3.fc44 fedora 31.0 KiB make s390x 1:4.4.1-12.fc44 fedora 1.9 MiB mpdecimal s390x 0:4.0.1-3.fc44 fedora 240.8 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 0:3.14-12.fc45 fedora 28.0 KiB python3 s390x 0:3.14.3-1.fc45 fedora 24.5 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 s390x 0:3.14.3-1.fc45 fedora 43.8 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 0:2.19.2-1.fc45 fedora 11.3 MiB python3-rpm-generators noarch 0:14-15.fc45 fedora 81.7 KiB python3-rpm-macros noarch 0:3.14-12.fc45 fedora 6.5 KiB tzdata noarch 0:2026a-1.fc45 fedora 1.2 MiB Transaction Summary: Installing: 36 packages Total size of inbound packages is 91 MiB. Need to download 91 MiB. After this operation, 303 MiB extra will be used (install 303 MiB, remove 0 B). [ 1/36] python3-devel-0:3.14.3-1.fc45.s 100% | 18.6 MiB/s | 437.0 KiB | 00m00s [ 2/36] gcc-c++-0:16.0.1-0.10.fc45.s390 100% | 175.6 MiB/s | 14.0 MiB | 00m00s [ 3/36] gcc-0:16.0.1-0.10.fc45.s390x 100% | 277.5 MiB/s | 35.2 MiB | 00m00s [ 4/36] python3-pytest-0:8.4.2-3.fc45.n 100% | 231.8 MiB/s | 2.3 MiB | 00m00s [ 5/36] python3-setuptools-0:80.10.2-3. 100% | 159.4 MiB/s | 1.8 MiB | 00m00s [ 6/36] python3-psutil-0:7.2.2-3.fc45.s 100% | 2.4 MiB/s | 266.9 KiB | 00m00s [ 7/36] python3-threadpoolctl-0:3.5.0-1 100% | 663.9 KiB/s | 45.1 KiB | 00m00s [ 8/36] cpp-0:16.0.1-0.10.fc45.s390x 100% | 288.0 MiB/s | 11.5 MiB | 00m00s [ 9/36] glibc-devel-0:2.43.9000-4.fc45. 100% | 59.0 MiB/s | 664.7 KiB | 00m00s [10/36] libasan-0:16.0.1-0.10.fc45.s390 100% | 135.3 MiB/s | 554.2 KiB | 00m00s [11/36] libatomic-0:16.0.1-0.10.fc45.s3 100% | 14.1 MiB/s | 43.3 KiB | 00m00s [12/36] libmpc-0:1.4.0-1.fc45.s390x 100% | 36.8 MiB/s | 75.4 KiB | 00m00s [13/36] libubsan-0:16.0.1-0.10.fc45.s39 100% | 75.5 MiB/s | 232.1 KiB | 00m00s [14/36] make-1:4.4.1-12.fc44.s390x 100% | 65.6 MiB/s | 605.0 KiB | 00m00s [15/36] python3-0:3.14.3-1.fc45.s390x 100% | 9.1 MiB/s | 28.0 KiB | 00m00s [16/36] libstdc++-devel-0:16.0.1-0.10.f 100% | 192.9 MiB/s | 5.4 MiB | 00m00s [17/36] python3-joblib-0:1.5.3-2.fc44.n 100% | 2.4 MiB/s | 590.6 KiB | 00m00s [18/36] python3-iniconfig-0:2.3.0-2.fc4 100% | 8.6 MiB/s | 26.3 KiB | 00m00s [19/36] python3-packaging-0:26.0-1.fc45 100% | 45.3 MiB/s | 185.5 KiB | 00m00s [20/36] python3-libs-0:3.14.3-1.fc45.s3 100% | 268.4 MiB/s | 9.9 MiB | 00m00s [21/36] python3-pluggy-0:1.6.0-5.fc44.n 100% | 5.0 MiB/s | 61.7 KiB | 00m00s [22/36] kernel-headers-0:7.0.0-0.rc5.43 100% | 123.6 MiB/s | 1.7 MiB | 00m00s [23/36] python3-pygments-0:2.19.2-1.fc4 100% | 148.5 MiB/s | 2.7 MiB | 00m00s [24/36] libxcrypt-devel-0:4.5.2-3.fc44. 100% | 9.7 MiB/s | 29.9 KiB | 00m00s [25/36] expat-0:2.7.5-1.fc45.s390x 100% | 42.1 MiB/s | 129.5 KiB | 00m00s [26/36] mpdecimal-0:4.0.1-3.fc44.s390x 100% | 26.0 MiB/s | 106.3 KiB | 00m00s [27/36] tzdata-0:2026a-1.fc45.noarch 100% | 139.3 MiB/s | 713.3 KiB | 00m00s [28/36] python-pip-wheel-0:26.0.1-2.fc4 100% | 143.7 MiB/s | 1.1 MiB | 00m00s [29/36] gcc-plugin-annobin-0:16.0.1-0.1 100% | 15.5 MiB/s | 47.6 KiB | 00m00s [30/36] annobin-plugin-gcc-0:13.07-1.fc 100% | 83.3 MiB/s | 682.6 KiB | 00m00s [31/36] annobin-docs-0:13.07-1.fc45.noa 100% | 17.2 MiB/s | 88.3 KiB | 00m00s [32/36] pyproject-rpm-macros-0:1.18.7-1 100% | 10.9 MiB/s | 44.5 KiB | 00m00s [33/36] python-rpm-macros-0:3.14-12.fc4 100% | 4.9 MiB/s | 20.0 KiB | 00m00s [34/36] python3-rpm-generators-0:14-15. 100% | 9.3 MiB/s | 28.5 KiB | 00m00s [35/36] python3-rpm-macros-0:3.14-12.fc 100% | 3.1 MiB/s | 12.5 KiB | 00m00s [36/36] python3-cloudpickle-0:3.1.2-2.f 100% | 567.3 KiB/s | 48.2 KiB | 00m00s -------------------------------------------------------------------------------- [36/36] Total 100% | 258.9 MiB/s | 91.4 MiB | 00m00s Running transaction [ 1/38] Verify package files 100% | 114.0 B/s | 36.0 B | 00m00s [ 2/38] Prepare transaction 100% | 705.0 B/s | 36.0 B | 00m00s [ 3/38] Installing python-rpm-macros-0: 100% | 28.2 MiB/s | 28.9 KiB | 00m00s [ 4/38] Installing libmpc-0:1.4.0-1.fc4 100% | 162.8 MiB/s | 166.7 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-0:16.0.1-0.10.fc 100% | 308.8 MiB/s | 30.6 MiB | 00m00s [ 8/38] Installing annobin-docs-0:13.07 100% | 24.5 MiB/s | 100.3 KiB | 00m00s [ 9/38] Installing tzdata-0:2026a-1.fc4 100% | 50.4 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% | 236.7 MiB/s | 242.4 KiB | 00m00s [12/38] Installing expat-0:2.7.5-1.fc45 100% | 15.3 MiB/s | 344.5 KiB | 00m00s [13/38] Installing python3-libs-0:3.14. 100% | 356.3 MiB/s | 44.2 MiB | 00m00s [14/38] Installing python3-0:3.14.3-1.f 100% | 1.5 MiB/s | 26.3 KiB | 00m00s [15/38] Installing python3-packaging-0: 100% | 242.6 MiB/s | 745.4 KiB | 00m00s [16/38] Installing python3-rpm-generato 100% | 0.0 B/s | 82.9 KiB | 00m00s [17/38] Installing python3-cloudpickle- 100% | 130.4 MiB/s | 133.5 KiB | 00m00s [18/38] Installing python3-iniconfig-0: 100% | 52.9 MiB/s | 54.1 KiB | 00m00s [19/38] Installing python3-pluggy-0:1.6 100% | 70.9 MiB/s | 217.9 KiB | 00m00s [20/38] Installing python3-pygments-0:2 100% | 209.5 MiB/s | 11.5 MiB | 00m00s [21/38] Installing kernel-headers-0:7.0 100% | 220.0 MiB/s | 7.0 MiB | 00m00s [22/38] Installing glibc-devel-0:2.43.9 100% | 266.6 MiB/s | 3.7 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% | 499.3 MiB/s | 38.4 MiB | 00m00s [25/38] Installing make-1:4.4.1-12.fc44 100% | 84.5 MiB/s | 1.9 MiB | 00m00s [26/38] Installing libubsan-0:16.0.1-0. 100% | 244.4 MiB/s | 500.6 KiB | 00m00s [27/38] Installing libatomic-0:16.0.1-0 100% | 0.0 B/s | 38.3 KiB | 00m00s [28/38] Installing libasan-0:16.0.1-0.1 100% | 374.8 MiB/s | 1.9 MiB | 00m00s [29/38] Installing gcc-0:16.0.1-0.10.fc 100% | 154.8 MiB/s | 88.4 MiB | 00m01s [30/38] Installing gcc-c++-0:16.0.1-0.1 100% | 324.8 MiB/s | 34.7 MiB | 00m00s [31/38] Installing annobin-plugin-gcc-0 100% | 2.0 MiB/s | 698.3 KiB | 00m00s [32/38] Installing gcc-plugin-annobin-0 100% | 130.2 KiB/s | 54.3 KiB | 00m00s [33/38] Installing python3-pytest-0:8.4 100% | 333.5 MiB/s | 22.7 MiB | 00m00s [34/38] Installing python3-joblib-0:1.5 100% | 233.1 MiB/s | 2.3 MiB | 00m00s [35/38] Installing python3-devel-0:3.14 100% | 80.0 MiB/s | 2.0 MiB | 00m00s [36/38] Installing python3-psutil-0:7.2 100% | 236.6 MiB/s | 1.4 MiB | 00m00s [37/38] Installing python3-setuptools-0 100% | 255.1 MiB/s | 7.7 MiB | 00m00s [38/38] Installing python3-threadpoolct 100% | 79.3 KiB/s | 139.6 KiB | 00m02s Complete! Building target platforms: s390x Building for target s390x 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% | 8.1 KiB/s | 3.9 KiB | 00m00s Copr repository 100% | 5.2 KiB/s | 1.5 KiB | 00m00s Repositories loaded. Nothing to do. Package "gcc-16.0.1-0.10.fc45.s390x" is already installed. Package "gcc-c++-16.0.1-0.10.fc45.s390x" is already installed. Package "python3-devel-3.14.3-1.fc45.s390x" is already installed. Package "python3-joblib-1.5.3-2.fc44.noarch" is already installed. Package "python3-psutil-7.2.2-3.fc45.s390x" 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. 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: s390x Building for target s390x setting SOURCE_DATE_EPOCH=1773964800 Executing(%mkbuilddir): /bin/sh -e /var/tmp/rpm-tmp.FB9wyI Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.fXRDT7 + 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.2JNG8M + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.8.0-build + cd scikit_learn-1.8.0 + echo pyproject-rpm-macros + echo python3-devel + echo 'python3dist(packaging)' + echo 'python3dist(pip) >= 19' + '[' -f pyproject.toml ']' + echo '(python3dist(tomli) if python3-devel < 3.11)' + rm -rfv '*.dist-info/' + '[' -f /usr/bin/python3 ']' + mkdir -p /builddir/build/BUILD/python-scikit-learn-1.8.0-build/.pyproject-builddir + echo -n + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection ' + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection ' + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + VALAFLAGS=-g + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,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.s390x-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.s390x-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% | 10.9 KiB/s | 3.9 KiB | 00m00s Copr repository 100% | 8.6 KiB/s | 1.5 KiB | 00m00s Repositories loaded. Package "gcc-16.0.1-0.10.fc45.s390x" is already installed. Package "gcc-c++-16.0.1-0.10.fc45.s390x" is already installed. Package "pyproject-rpm-macros-1.18.7-1.fc45.noarch" is already installed. Package "python3-devel-3.14.3-1.fc45.s390x" 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.s390x" 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 s390x 0:3.2.4-3.fc44 fedora 19.1 MiB python3-meson-python noarch 0:0.19.0-1.fc44 fedora 338.2 KiB python3-numpy s390x 1:2.4.3-1.fc45 fedora 38.4 MiB python3-pip noarch 0:26.0.1-2.fc45 fedora 11.4 MiB python3-scipy s390x 0:1.16.2-3.fc44 fedora 65.3 MiB Installing dependencies: flexiblas s390x 0:3.5.0-2.fc44 fedora 38.0 KiB flexiblas-netlib s390x 0:3.5.0-2.fc44 fedora 17.2 MiB flexiblas-openblas-openmp s390x 0:3.5.0-2.fc44 fedora 38.8 KiB libgfortran s390x 0:16.0.1-0.10.fc45 fedora 2.5 MiB meson noarch 0:1.10.2-1.fc45 fedora 13.7 MiB ninja-build s390x 0:1.13.2-2.fc44 fedora 483.5 KiB openblas s390x 0:0.3.29-2.fc43 fedora 111.7 KiB openblas-openmp s390x 0:0.3.29-2.fc43 fedora 15.2 MiB patchelf s390x 0:0.18.0-9.fc43 fedora 290.8 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 s390x 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 45 MiB. Need to download 45 MiB. After this operation, 190 MiB extra will be used (install 190 MiB, remove 0 B). [ 1/23] python3-meson-python-0:0.19.0-1 100% | 945.7 KiB/s | 95.5 KiB | 00m00s [ 2/23] python3-numpy-1:2.4.3-1.fc45.s3 100% | 178.5 MiB/s | 7.5 MiB | 00m00s [ 3/23] python3-pip-0:26.0.1-2.fc45.noa 100% | 156.8 MiB/s | 2.7 MiB | 00m00s [ 4/23] flexiblas-netlib-0:3.5.0-2.fc44 100% | 49.5 MiB/s | 4.7 MiB | 00m00s [ 5/23] libgfortran-0:16.0.1-0.10.fc45. 100% | 76.5 MiB/s | 626.6 KiB | 00m00s [ 6/23] python3-numpy-f2py-1:2.4.3-1.fc 100% | 49.9 MiB/s | 511.1 KiB | 00m00s [ 7/23] python3-pooch-0:1.9.0-1.fc44.no 100% | 1.4 MiB/s | 146.0 KiB | 00m00s [ 8/23] meson-0:1.10.2-1.fc45.noarch 100% | 131.9 MiB/s | 2.5 MiB | 00m00s [ 9/23] patchelf-0:0.18.0-9.fc43.s390x 100% | 2.4 MiB/s | 130.4 KiB | 00m00s [10/23] python3-pyproject-metadata-0:0. 100% | 2.4 MiB/s | 66.7 KiB | 00m00s [11/23] flexiblas-0:3.5.0-2.fc44.s390x 100% | 7.5 MiB/s | 23.0 KiB | 00m00s [12/23] flexiblas-openblas-openmp-0:3.5 100% | 5.6 MiB/s | 17.1 KiB | 00m00s [13/23] python3-platformdirs-0:4.9.1-1. 100% | 767.6 KiB/s | 59.1 KiB | 00m00s [14/23] python3-requests-0:2.32.5-5.fc4 100% | 39.1 MiB/s | 160.0 KiB | 00m00s [15/23] ninja-build-0:1.13.2-2.fc44.s39 100% | 64.1 MiB/s | 196.8 KiB | 00m00s [16/23] openblas-openmp-0:0.3.29-2.fc43 100% | 228.6 MiB/s | 4.3 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% | 36.9 MiB/s | 301.9 KiB | 00m00s [20/23] vim-filesystem-2:9.2.148-1.fc45 100% | 5.1 MiB/s | 15.7 KiB | 00m00s [21/23] openblas-0:0.3.29-2.fc43.s390x 100% | 10.3 MiB/s | 42.2 KiB | 00m00s [22/23] python3-cython-0:3.2.4-3.fc44.s 100% | 4.6 MiB/s | 4.2 MiB | 00m01s [23/23] python3-scipy-0:1.16.2-3.fc44.s 100% | 4.8 MiB/s | 16.7 MiB | 00m04s -------------------------------------------------------------------------------- [23/23] Total 100% | 12.9 MiB/s | 45.2 MiB | 00m04s Running transaction [ 1/25] Verify package files 100% | 147.0 B/s | 23.0 B | 00m00s [ 2/25] Prepare transaction 100% | 410.0 B/s | 23.0 B | 00m00s [ 3/25] Installing libgfortran-0:16.0.1 100% | 353.5 MiB/s | 2.5 MiB | 00m00s [ 4/25] Installing python3-idna-0:3.11- 100% | 242.5 MiB/s | 744.9 KiB | 00m00s [ 5/25] Installing python3-urllib3-0:2. 100% | 227.5 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% | 401.2 MiB/s | 15.2 MiB | 00m00s [ 8/25] Installing flexiblas-netlib-0:3 100% | 306.4 MiB/s | 17.2 MiB | 00m00s [ 9/25] Installing flexiblas-0:3.5.0-2. 100% | 0.0 B/s | 39.2 KiB | 00m00s [10/25] Installing flexiblas-openblas-o 100% | 9.7 MiB/s | 39.7 KiB | 00m00s [11/25] Installing python3-numpy-1:2.4. 100% | 330.4 MiB/s | 38.7 MiB | 00m00s [12/25] Installing python3-numpy-f2py-1 100% | 83.8 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% | 25.0 MiB/s | 486.5 KiB | 00m00s [15/25] Installing meson-0:1.10.2-1.fc4 100% | 256.0 MiB/s | 13.8 MiB | 00m00s [16/25] Installing python3-charset-norm 100% | 22.4 MiB/s | 413.6 KiB | 00m00s [17/25] Installing python3-requests-0:2 100% | 238.7 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% | 219.1 MiB/s | 673.1 KiB | 00m00s [20/25] Installing python3-pyproject-me 100% | 223.6 MiB/s | 229.0 KiB | 00m00s [21/25] Installing patchelf-0:0.18.0-9. 100% | 16.8 MiB/s | 292.6 KiB | 00m00s [22/25] Installing python3-meson-python 100% | 56.0 MiB/s | 344.2 KiB | 00m00s [23/25] Installing python3-scipy-0:1.16 100% | 373.3 MiB/s | 65.7 MiB | 00m00s [24/25] Installing python3-pip-0:26.0.1 100% | 172.5 MiB/s | 11.7 MiB | 00m00s [25/25] Installing python3-cython-0:3.2 100% | 160.7 MiB/s | 19.3 MiB | 00m00s Complete! Building target platforms: s390x Building for target s390x setting SOURCE_DATE_EPOCH=1773964800 Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.ukTt9V + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.8.0-build + cd scikit_learn-1.8.0 + echo pyproject-rpm-macros + echo python3-devel + echo 'python3dist(packaging)' + echo 'python3dist(pip) >= 19' + '[' -f pyproject.toml ']' + echo '(python3dist(tomli) if python3-devel < 3.11)' + rm -rfv '*.dist-info/' + '[' -f /usr/bin/python3 ']' + mkdir -p /builddir/build/BUILD/python-scikit-learn-1.8.0-build/.pyproject-builddir + echo -n + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection ' + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection ' + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + VALAFLAGS=-g + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,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.s390x-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.s390x-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% | 18.0 KiB/s | 3.9 KiB | 00m00s Copr repository 100% | 65.9 KiB/s | 1.5 KiB | 00m00s Repositories loaded. Nothing to do. Package "gcc-16.0.1-0.10.fc45.s390x" is already installed. Package "gcc-c++-16.0.1-0.10.fc45.s390x" is already installed. Package "pyproject-rpm-macros-1.18.7-1.fc45.noarch" is already installed. Package "python3-devel-3.14.3-1.fc45.s390x" 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.s390x" is already installed. Package "python3-numpy-1:2.4.3-1.fc45.s390x" 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.s390x" is already installed. Package "python3-pytest-8.4.2-3.fc45.noarch" is already installed. Package "python3-scipy-1.16.2-3.fc44.s390x" 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. Building target platforms: s390x Building for target s390x setting SOURCE_DATE_EPOCH=1773964800 Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.mZiVVr + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.8.0-build + cd scikit_learn-1.8.0 + echo pyproject-rpm-macros + echo python3-devel + echo 'python3dist(packaging)' + echo 'python3dist(pip) >= 19' + '[' -f pyproject.toml ']' + echo '(python3dist(tomli) if python3-devel < 3.11)' + rm -rfv '*.dist-info/' + '[' -f /usr/bin/python3 ']' + mkdir -p /builddir/build/BUILD/python-scikit-learn-1.8.0-build/.pyproject-builddir + echo -n + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection ' + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection ' + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + VALAFLAGS=-g + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,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.s390x-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.s390x-pyproject-buildrequires + rm -rfv '*.dist-info/' + RPM_EC=0 ++ jobs -p + exit 0 Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.RSgLjX + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.8.0-build + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + cd scikit_learn-1.8.0 + mkdir -p /builddir/build/BUILD/python-scikit-learn-1.8.0-build/.pyproject-builddir + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection ' + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection ' + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + VALAFLAGS=-g + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,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-cykx487c -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-cykx487c/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-cykx487c 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 20260321 (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 20260321 (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: s390x Host machine cpu: s390x 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-cykx487c/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/_openmp_helpers.pxd [2/253] Copying file sklearn/utils/__init__.py [3/253] Copying file sklearn/utils/_cython_blas.pxd [4/253] Copying file sklearn/__init__.py [5/253] Copying file sklearn/_loss/_loss.pxd [6/253] Copying file sklearn/utils/_heap.pxd [7/253] Copying file sklearn/utils/_typedefs.pxd [8/253] Copying file sklearn/utils/_random.pxd [9/253] Copying file sklearn/utils/_sorting.pxd [10/253] Copying file sklearn/utils/_vector_sentinel.pxd [11/253] Generating sklearn/utils/_weight_vector_pxd with a custom command [12/253] Generating sklearn/utils/_seq_dataset_pxd with a custom command [13/253] Copying file sklearn/metrics/_pairwise_distances_reduction/__init__.py [14/253] Generating sklearn/metrics/_dist_metrics_pxd with a custom command [15/253] Copying file sklearn/metrics/__init__.py [16/253] Generating sklearn/metrics/_pairwise_distances_reduction/_base_pxd with a custom command [17/253] Copying file sklearn/metrics/_pairwise_distances_reduction/_classmode.pxd [18/253] Generating sklearn/metrics/_pairwise_distances_reduction/_datasets_pair_pxd with a custom command [19/253] Generating sklearn/metrics/_pairwise_distances_reduction/_argkmin_pxd with a custom command [20/253] Copying file sklearn/linear_model/__init__.py [21/253] Generating sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer_pxd with a custom command [22/253] Generating sklearn/neighbors/_binary_tree_pxi with a custom command [23/253] Generating sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_pxd with a custom command [24/253] Copying file sklearn/neighbors/__init__.py [25/253] Generating sklearn/_loss/_loss_pyx with a custom command [26/253] Copying file sklearn/neighbors/_partition_nodes.pxd [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/_dist_metrics_pyx with a custom command [30/253] Generating sklearn/metrics/_pairwise_distances_reduction/_datasets_pair_pyx with a custom command [31/253] Generating sklearn/metrics/_pairwise_distances_reduction/_base_pyx with a custom command [32/253] Generating sklearn/metrics/_pairwise_distances_reduction/_argkmin_pyx with a custom command [33/253] Generating sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer_pyx with a custom command [34/253] Generating sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode_pyx with a custom command [35/253] Generating sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_pyx with a custom command [36/253] Generating sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_classmode_pyx with a custom command [37/253] Generating sklearn/linear_model/_sag_fast_pyx with a custom command [38/253] Generating sklearn/linear_model/_sgd_fast_pyx with a custom command [39/253] Generating sklearn/neighbors/_ball_tree_pyx with a custom command [40/253] Generating sklearn/neighbors/_kd_tree_pyx with a custom command [41/253] Generating 'sklearn/__check_build/_check_build.cpython-314-s390x-linux-gnu.so.p/_check_build.c' [42/253] Generating 'sklearn/_isotonic.cpython-314-s390x-linux-gnu.so.p/_isotonic.c' [43/253] Generating sklearn/_cyutility.c with a custom command [44/253] Generating 'sklearn/utils/_cython_blas.cpython-314-s390x-linux-gnu.so.p/_cython_blas.c' [45/253] Generating 'sklearn/utils/arrayfuncs.cpython-314-s390x-linux-gnu.so.p/arrayfuncs.c' [46/253] Generating 'sklearn/utils/murmurhash.cpython-314-s390x-linux-gnu.so.p/murmurhash.c' [47/253] Generating 'sklearn/utils/_fast_dict.cpython-314-s390x-linux-gnu.so.p/_fast_dict.cpp' [48/253] Generating 'sklearn/utils/_openmp_helpers.cpython-314-s390x-linux-gnu.so.p/_openmp_helpers.c' [49/253] Generating 'sklearn/utils/sparsefuncs_fast.cpython-314-s390x-linux-gnu.so.p/sparsefuncs_fast.c' [50/253] Generating 'sklearn/utils/_heap.cpython-314-s390x-linux-gnu.so.p/_heap.c' [51/253] Generating 'sklearn/utils/_typedefs.cpython-314-s390x-linux-gnu.so.p/_typedefs.c' [52/253] Generating 'sklearn/utils/_random.cpython-314-s390x-linux-gnu.so.p/_random.c' [53/253] Generating 'sklearn/utils/_sorting.cpython-314-s390x-linux-gnu.so.p/_sorting.c' [54/253] Generating 'sklearn/utils/_vector_sentinel.cpython-314-s390x-linux-gnu.so.p/_vector_sentinel.cpp' [55/253] Generating 'sklearn/utils/_isfinite.cpython-314-s390x-linux-gnu.so.p/_isfinite.c' [56/253] Generating 'sklearn/utils/_weight_vector.cpython-314-s390x-linux-gnu.so.p/_weight_vector.c' [57/253] Generating 'sklearn/utils/_seq_dataset.cpython-314-s390x-linux-gnu.so.p/_seq_dataset.c' [58/253] Generating 'sklearn/metrics/_pairwise_fast.cpython-314-s390x-linux-gnu.so.p/_pairwise_fast.c' [59/253] Generating 'sklearn/_loss/_loss.cpython-314-s390x-linux-gnu.so.p/_loss.c' [60/253] Generating 'sklearn/metrics/_pairwise_distances_reduction/_datasets_pair.cpython-314-s390x-linux-gnu.so.p/_datasets_pair.cpp' [61/253] Generating 'sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-s390x-linux-gnu.so.p/_base.cpp' [62/253] Generating 'sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer.cpython-314-s390x-linux-gnu.so.p/_middle_term_computer.cpp' [63/253] Generating 'sklearn/metrics/_dist_metrics.cpython-314-s390x-linux-gnu.so.p/_dist_metrics.c' [64/253] Generating 'sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-314-s390x-linux-gnu.so.p/_argkmin.cpp' [65/253] Generating 'sklearn/metrics/cluster/_expected_mutual_info_fast.cpython-314-s390x-linux-gnu.so.p/_expected_mutual_info_fast.c' [66/253] Generating 'sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode.cpython-314-s390x-linux-gnu.so.p/_argkmin_classmode.cpp' [67/253] Generating 'sklearn/cluster/_dbscan_inner.cpython-314-s390x-linux-gnu.so.p/_dbscan_inner.cpp' [68/253] Generating 'sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_classmode.cpython-314-s390x-linux-gnu.so.p/_radius_neighbors_classmode.cpp' [69/253] Generating 'sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-314-s390x-linux-gnu.so.p/_radius_neighbors.cpp' [70/253] Generating 'sklearn/cluster/_k_means_common.cpython-314-s390x-linux-gnu.so.p/_k_means_common.c' [71/253] Generating 'sklearn/cluster/_hierarchical_fast.cpython-314-s390x-linux-gnu.so.p/_hierarchical_fast.cpp' [72/253] Generating 'sklearn/cluster/_k_means_lloyd.cpython-314-s390x-linux-gnu.so.p/_k_means_lloyd.c' [73/253] Generating 'sklearn/cluster/_k_means_minibatch.cpython-314-s390x-linux-gnu.so.p/_k_means_minibatch.c' [74/253] Generating 'sklearn/cluster/_k_means_elkan.cpython-314-s390x-linux-gnu.so.p/_k_means_elkan.c' [75/253] Generating 'sklearn/cluster/_hdbscan/_linkage.cpython-314-s390x-linux-gnu.so.p/_linkage.c' [76/253] Generating 'sklearn/decomposition/_online_lda_fast.cpython-314-s390x-linux-gnu.so.p/_online_lda_fast.c' [77/253] Generating 'sklearn/decomposition/_cdnmf_fast.cpython-314-s390x-linux-gnu.so.p/_cdnmf_fast.c' [78/253] Generating 'sklearn/cluster/_hdbscan/_reachability.cpython-314-s390x-linux-gnu.so.p/_reachability.c' [79/253] Generating 'sklearn/cluster/_hdbscan/_tree.cpython-314-s390x-linux-gnu.so.p/_tree.c' [80/253] Generating 'sklearn/ensemble/_gradient_boosting.cpython-314-s390x-linux-gnu.so.p/_gradient_boosting.c' [81/253] Generating 'sklearn/datasets/_svmlight_format_fast.cpython-314-s390x-linux-gnu.so.p/_svmlight_format_fast.c' [82/253] Generating 'sklearn/ensemble/_hist_gradient_boosting/_gradient_boosting.cpython-314-s390x-linux-gnu.so.p/_gradient_boosting.c' [83/253] Generating 'sklearn/ensemble/_hist_gradient_boosting/_binning.cpython-314-s390x-linux-gnu.so.p/_binning.c' [84/253] Generating 'sklearn/ensemble/_hist_gradient_boosting/histogram.cpython-314-s390x-linux-gnu.so.p/histogram.c' [85/253] Generating 'sklearn/ensemble/_hist_gradient_boosting/splitting.cpython-314-s390x-linux-gnu.so.p/splitting.c' [86/253] Generating 'sklearn/ensemble/_hist_gradient_boosting/_bitset.cpython-314-s390x-linux-gnu.so.p/_bitset.c' [87/253] Generating 'sklearn/ensemble/_hist_gradient_boosting/_predictor.cpython-314-s390x-linux-gnu.so.p/_predictor.c' [88/253] Generating 'sklearn/ensemble/_hist_gradient_boosting/common.cpython-314-s390x-linux-gnu.so.p/common.c' [89/253] Generating 'sklearn/feature_extraction/_hashing_fast.cpython-314-s390x-linux-gnu.so.p/_hashing_fast.cpp' [90/253] Generating 'sklearn/manifold/_utils.cpython-314-s390x-linux-gnu.so.p/_utils.c' [91/253] Generating 'sklearn/linear_model/_sgd_fast.cpython-314-s390x-linux-gnu.so.p/_sgd_fast.c' [92/253] Generating 'sklearn/linear_model/_sag_fast.cpython-314-s390x-linux-gnu.so.p/_sag_fast.c' [93/253] Generating 'sklearn/manifold/_barnes_hut_tsne.cpython-314-s390x-linux-gnu.so.p/_barnes_hut_tsne.c' [94/253] Generating 'sklearn/linear_model/_cd_fast.cpython-314-s390x-linux-gnu.so.p/_cd_fast.c' [95/253] Generating 'sklearn/neighbors/_partition_nodes.cpython-314-s390x-linux-gnu.so.p/_partition_nodes.cpp' [96/253] Generating 'sklearn/svm/_newrand.cpython-314-s390x-linux-gnu.so.p/_newrand.cpp' [97/253] Generating 'sklearn/preprocessing/_csr_polynomial_expansion.cpython-314-s390x-linux-gnu.so.p/_csr_polynomial_expansion.c' [98/253] Generating 'sklearn/preprocessing/_target_encoder_fast.cpython-314-s390x-linux-gnu.so.p/_target_encoder_fast.cpp' [99/253] Generating 'sklearn/neighbors/_ball_tree.cpython-314-s390x-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 [100/253] Generating 'sklearn/neighbors/_quad_tree.cpython-314-s390x-linux-gnu.so.p/_quad_tree.c' [101/253] Compiling C++ object sklearn/svm/libliblinear-skl.a.p/src_liblinear_tron.cpp.o [102/253] Generating 'sklearn/neighbors/_kd_tree.cpython-314-s390x-linux-gnu.so.p/_kd_tree.c' warning: sklearn/neighbors/_binary_tree.pxi:1091:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:1957:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2052:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2221:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2344:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2401:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2402:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2726:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3592:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3687:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3856:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3979:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:4036:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:4037:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_kd_tree.pyx:74:4: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier warning: sklearn/neighbors/_kd_tree.pyx:75:4: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier warning: sklearn/neighbors/_kd_tree.pyx:342:4: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier warning: sklearn/neighbors/_kd_tree.pyx:343:4: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier [103/253] Generating 'sklearn/svm/_libsvm.cpython-314-s390x-linux-gnu.so.p/_libsvm.c' [104/253] Generating 'sklearn/svm/_libsvm_sparse.cpython-314-s390x-linux-gnu.so.p/_libsvm_sparse.c' [105/253] Generating 'sklearn/svm/_liblinear.cpython-314-s390x-linux-gnu.so.p/_liblinear.c' [106/253] Generating 'sklearn/tree/_splitter.cpython-314-s390x-linux-gnu.so.p/_splitter.c' [107/253] Generating 'sklearn/tree/_partitioner.cpython-314-s390x-linux-gnu.so.p/_partitioner.c' [108/253] Compiling C++ object sklearn/svm/libliblinear-skl.a.p/src_liblinear_linear.cpp.o [109/253] Generating 'sklearn/tree/_tree.cpython-314-s390x-linux-gnu.so.p/_tree.cpp' [110/253] Generating 'sklearn/tree/_criterion.cpython-314-s390x-linux-gnu.so.p/_criterion.c' [111/253] Generating 'sklearn/tree/_utils.cpython-314-s390x-linux-gnu.so.p/_utils.c' [112/253] Compiling C object sklearn/__check_build/_check_build.cpython-314-s390x-linux-gnu.so.p/meson-generated__check_build.c.o [113/253] Compiling C++ object sklearn/svm/liblibsvm-skl.a.p/src_libsvm_libsvm_template.cpp.o In file included from ../sklearn/svm/src/libsvm/libsvm_template.cpp:6: ../sklearn/svm/src/libsvm/svm.cpp: In function ‘void svm::solve_epsilon_svr(const svm_problem*, const svm_parameter*, double*, Solver::SolutionInfo*, BlasFunctions*)’: ../sklearn/svm/src/libsvm/svm.cpp:1781:16: warning: variable ‘sum_alpha’ set but not used [-Wunused-but-set-variable=] 1781 | double sum_alpha = 0; | ^~~~~~~~~ In file included from ../sklearn/svm/src/libsvm/libsvm_template.cpp:8: ../sklearn/svm/src/libsvm/svm.cpp: In function ‘void svm_csr::solve_epsilon_svr(const svm_csr_problem*, const svm_parameter*, double*, Solver::SolutionInfo*, BlasFunctions*)’: ../sklearn/svm/src/libsvm/svm.cpp:1781:16: warning: variable ‘sum_alpha’ set but not used [-Wunused-but-set-variable=] 1781 | double sum_alpha = 0; | ^~~~~~~~~ ../sklearn/svm/src/libsvm/svm.cpp: In function ‘svm::svm_train_one(svm_problem const*, svm_parameter const*, double, double, int*, BlasFunctions*)’: ../sklearn/svm/src/libsvm/svm.cpp:1883:13: warning: ‘si.obj’ may be used uninitialized [-Wmaybe-uninitialized] 1883 | info("obj = %f, rho = %f\n",si.obj,si.rho); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../sklearn/svm/src/libsvm/svm.cpp:1856:30: note: ‘si’ declared here 1856 | Solver::SolutionInfo si; | ^~ ../sklearn/svm/src/libsvm/svm.cpp:1883:13: warning: ‘si.rho’ may be used uninitialized [-Wmaybe-uninitialized] 1883 | info("obj = %f, rho = %f\n",si.obj,si.rho); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../sklearn/svm/src/libsvm/svm.cpp:1856:30: note: ‘si’ declared here 1856 | Solver::SolutionInfo si; | ^~ ../sklearn/svm/src/libsvm/svm.cpp: In function ‘svm_csr::svm_train_one(svm_csr_problem const*, svm_parameter const*, double, double, int*, BlasFunctions*)’: ../sklearn/svm/src/libsvm/svm.cpp:1883:13: warning: ‘si.obj’ may be used uninitialized [-Wmaybe-uninitialized] 1883 | info("obj = %f, rho = %f\n",si.obj,si.rho); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../sklearn/svm/src/libsvm/svm.cpp:1856:30: note: ‘si’ declared here 1856 | Solver::SolutionInfo si; | ^~ ../sklearn/svm/src/libsvm/svm.cpp:1883:13: warning: ‘si.rho’ may be used uninitialized [-Wmaybe-uninitialized] 1883 | info("obj = %f, rho = %f\n",si.obj,si.rho); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../sklearn/svm/src/libsvm/svm.cpp:1856:30: note: ‘si’ declared here 1856 | Solver::SolutionInfo si; | ^~ [114/253] Compiling C object sklearn/_isotonic.cpython-314-s390x-linux-gnu.so.p/meson-generated__isotonic.c.o [115/253] Compiling C object sklearn/_cyutility.cpython-314-s390x-linux-gnu.so.p/meson-generated_..__cyutility.c.o [116/253] Compiling C++ object sklearn/utils/murmurhash.cpython-314-s390x-linux-gnu.so.p/src_MurmurHash3.cpp.o [117/253] Compiling C object sklearn/utils/arrayfuncs.cpython-314-s390x-linux-gnu.so.p/meson-generated_arrayfuncs.c.o [118/253] Compiling C object sklearn/utils/murmurhash.cpython-314-s390x-linux-gnu.so.p/meson-generated_murmurhash.c.o [119/253] Compiling C object sklearn/utils/_cython_blas.cpython-314-s390x-linux-gnu.so.p/meson-generated__cython_blas.c.o [120/253] Compiling C object sklearn/utils/_openmp_helpers.cpython-314-s390x-linux-gnu.so.p/meson-generated__openmp_helpers.c.o [121/253] Compiling C object sklearn/utils/_heap.cpython-314-s390x-linux-gnu.so.p/meson-generated__heap.c.o [122/253] Compiling C object sklearn/utils/_sorting.cpython-314-s390x-linux-gnu.so.p/meson-generated__sorting.c.o [123/253] Compiling C++ object sklearn/utils/_fast_dict.cpython-314-s390x-linux-gnu.so.p/meson-generated__fast_dict.cpp.o [124/253] Compiling C object sklearn/utils/_typedefs.cpython-314-s390x-linux-gnu.so.p/meson-generated__typedefs.c.o [125/253] Compiling C object sklearn/utils/_random.cpython-314-s390x-linux-gnu.so.p/meson-generated__random.c.o [126/253] Compiling C object sklearn/utils/_isfinite.cpython-314-s390x-linux-gnu.so.p/meson-generated__isfinite.c.o [127/253] Compiling C object sklearn/utils/_weight_vector.cpython-314-s390x-linux-gnu.so.p/meson-generated__weight_vector.c.o [128/253] Compiling C++ object sklearn/utils/_vector_sentinel.cpython-314-s390x-linux-gnu.so.p/meson-generated__vector_sentinel.cpp.o [129/253] Compiling C object sklearn/utils/_seq_dataset.cpython-314-s390x-linux-gnu.so.p/meson-generated__seq_dataset.c.o [130/253] Compiling C object sklearn/metrics/_pairwise_fast.cpython-314-s390x-linux-gnu.so.p/meson-generated__pairwise_fast.c.o [131/253] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-s390x-linux-gnu.so.p/meson-generated__base.cpp.o sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-linux-gnu.so.p/_base.cpp:7983:113: sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-s390x-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-s390x-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-s390x-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/utils/sparsefuncs_fast.cpython-314-s390x-linux-gnu.so.p/meson-generated_sparsefuncs_fast.c.o [133/253] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_datasets_pair.cpython-314-s390x-linux-gnu.so.p/meson-generated__datasets_pair.cpp.o [134/253] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer.cpython-314-s390x-linux-gnu.so.p/meson-generated__middle_term_computer.cpp.o [135/253] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode.cpython-314-s390x-linux-gnu.so.p/meson-generated__argkmin_classmode.cpp.o [136/253] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-314-s390x-linux-gnu.so.p/meson-generated__argkmin.cpp.o sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-314-s390x-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-s390x-linux-gnu.so.p/_argkmin.cpp:6585:7: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized] 6585 | int __pyx_clineno = 0; | ^~~~~~~~~~~~~ sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-314-s390x-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-s390x-linux-gnu.so.p/_argkmin.cpp:11009:7: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized] 11009 | int __pyx_clineno = 0; | ^~~~~~~~~~~~~ [137/253] Compiling C object sklearn/metrics/_dist_metrics.cpython-314-s390x-linux-gnu.so.p/meson-generated__dist_metrics.c.o [138/253] Compiling C++ object sklearn/cluster/_dbscan_inner.cpython-314-s390x-linux-gnu.so.p/meson-generated__dbscan_inner.cpp.o [139/253] Compiling C object sklearn/metrics/cluster/_expected_mutual_info_fast.cpython-314-s390x-linux-gnu.so.p/meson-generated__expected_mutual_info_fast.c.o [140/253] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_classmode.cpython-314-s390x-linux-gnu.so.p/meson-generated__radius_neighbors_classmode.cpp.o [141/253] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-314-s390x-linux-gnu.so.p/meson-generated__radius_neighbors.cpp.o sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-314-s390x-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-s390x-linux-gnu.so.p/_radius_neighbors.cpp:9198:7: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized] 9198 | int __pyx_clineno = 0; | ^~~~~~~~~~~~~ sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-314-s390x-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-s390x-linux-gnu.so.p/_radius_neighbors.cpp:13432:7: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized] 13432 | int __pyx_clineno = 0; | ^~~~~~~~~~~~~ [142/253] Compiling C++ object sklearn/cluster/_hierarchical_fast.cpython-314-s390x-linux-gnu.so.p/meson-generated__hierarchical_fast.cpp.o [143/253] Compiling C object sklearn/cluster/_k_means_lloyd.cpython-314-s390x-linux-gnu.so.p/meson-generated__k_means_lloyd.c.o sklearn/cluster/_k_means_lloyd.cpython-314-s390x-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-s390x-linux-gnu.so.p/_k_means_lloyd.c:9190:11: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 9190 | double *__pyx_v_centers_new_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-314-s390x-linux-gnu.so.p/_k_means_lloyd.c:9191:11: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 9191 | double *__pyx_v_weight_in_clusters_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-314-s390x-linux-gnu.so.p/_k_means_lloyd.c:9185:7: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized] 9185 | int __pyx_v_k; | ^~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-314-s390x-linux-gnu.so.p/_k_means_lloyd.c:9184:7: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized] 9184 | int __pyx_v_j; | ^~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-314-s390x-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-s390x-linux-gnu.so.p/_k_means_lloyd.c:8039:10: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 8039 | float *__pyx_v_centers_new_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-314-s390x-linux-gnu.so.p/_k_means_lloyd.c:8040:10: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 8040 | float *__pyx_v_weight_in_clusters_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-314-s390x-linux-gnu.so.p/_k_means_lloyd.c:8034:7: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized] 8034 | int __pyx_v_k; | ^~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-314-s390x-linux-gnu.so.p/_k_means_lloyd.c:8033:7: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized] 8033 | int __pyx_v_j; | ^~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-314-s390x-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-s390x-linux-gnu.so.p/_k_means_lloyd.c:6192:11: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 6192 | double *__pyx_v_centers_new_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-314-s390x-linux-gnu.so.p/_k_means_lloyd.c:6193:11: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 6193 | double *__pyx_v_weight_in_clusters_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-314-s390x-linux-gnu.so.p/_k_means_lloyd.c:6194:11: warning: ‘__pyx_v_pairwise_distances_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 6194 | double *__pyx_v_pairwise_distances_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-314-s390x-linux-gnu.so.p/_k_means_lloyd.c:6190:7: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized] 6190 | int __pyx_v_k; | ^~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-314-s390x-linux-gnu.so.p/_k_means_lloyd.c:6189:7: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized] 6189 | int __pyx_v_j; | ^~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-314-s390x-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-s390x-linux-gnu.so.p/_k_means_lloyd.c:5163:10: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 5163 | float *__pyx_v_centers_new_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-314-s390x-linux-gnu.so.p/_k_means_lloyd.c:5164:10: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 5164 | float *__pyx_v_weight_in_clusters_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-314-s390x-linux-gnu.so.p/_k_means_lloyd.c:5165:10: warning: ‘__pyx_v_pairwise_distances_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 5165 | float *__pyx_v_pairwise_distances_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-314-s390x-linux-gnu.so.p/_k_means_lloyd.c:5161:7: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized] 5161 | int __pyx_v_k; | ^~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-314-s390x-linux-gnu.so.p/_k_means_lloyd.c:5160:7: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized] 5160 | int __pyx_v_j; | ^~~~~~~~~ [144/253] Compiling C object sklearn/cluster/_k_means_minibatch.cpython-314-s390x-linux-gnu.so.p/meson-generated__k_means_minibatch.c.o sklearn/cluster/_k_means_minibatch.cpython-314-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-linux-gnu.so.p/_k_means_minibatch.c:6751:13: sklearn/cluster/_k_means_minibatch.cpython-314-s390x-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-s390x-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-s390x-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-s390x-linux-gnu.so.p/_k_means_minibatch.c:6405:13: sklearn/cluster/_k_means_minibatch.cpython-314-s390x-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-s390x-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-s390x-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-s390x-linux-gnu.so.p/meson-generated__k_means_common.c.o sklearn/cluster/_k_means_common.cpython-314-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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/_k_means_elkan.cpython-314-s390x-linux-gnu.so.p/meson-generated__k_means_elkan.c.o sklearn/cluster/_k_means_elkan.cpython-314-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-linux-gnu.so.p/_k_means_elkan.c:7046:7: note: ‘__pyx_clineno’ was declared here 7046 | int __pyx_clineno = 0; | ^~~~~~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-314-s390x-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-s390x-linux-gnu.so.p/_k_means_elkan.c:9313:11: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 9313 | double *__pyx_v_weight_in_clusters_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-314-s390x-linux-gnu.so.p/_k_means_elkan.c:9312:11: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 9312 | double *__pyx_v_centers_new_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-314-s390x-linux-gnu.so.p/_k_means_elkan.c:9311:7: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized] 9311 | int __pyx_v_k; | ^~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-314-s390x-linux-gnu.so.p/_k_means_elkan.c:9310:7: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized] 9310 | int __pyx_v_j; | ^~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-314-s390x-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-s390x-linux-gnu.so.p/_k_means_elkan.c:8157:10: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 8157 | float *__pyx_v_weight_in_clusters_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-314-s390x-linux-gnu.so.p/_k_means_elkan.c:8156:10: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 8156 | float *__pyx_v_centers_new_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-314-s390x-linux-gnu.so.p/_k_means_elkan.c:8155:7: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized] 8155 | int __pyx_v_k; | ^~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-314-s390x-linux-gnu.so.p/_k_means_elkan.c:8154:7: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized] 8154 | int __pyx_v_j; | ^~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-314-s390x-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-s390x-linux-gnu.so.p/_k_means_elkan.c:11641:10: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 11641 | float *__pyx_v_centers_new_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-314-s390x-linux-gnu.so.p/_k_means_elkan.c:11642:10: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 11642 | float *__pyx_v_weight_in_clusters_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-314-s390x-linux-gnu.so.p/_k_means_elkan.c:11639:7: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized] 11639 | int __pyx_v_k; | ^~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-314-s390x-linux-gnu.so.p/_k_means_elkan.c:11638:7: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized] 11638 | int __pyx_v_j; | ^~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-314-s390x-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-s390x-linux-gnu.so.p/_k_means_elkan.c:12980:11: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 12980 | double *__pyx_v_centers_new_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-314-s390x-linux-gnu.so.p/_k_means_elkan.c:12981:11: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 12981 | double *__pyx_v_weight_in_clusters_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-314-s390x-linux-gnu.so.p/_k_means_elkan.c:12978:7: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized] 12978 | int __pyx_v_k; | ^~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-314-s390x-linux-gnu.so.p/_k_means_elkan.c:12977:7: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized] 12977 | int __pyx_v_j; | ^~~~~~~~~ [147/253] Compiling C object sklearn/cluster/_hdbscan/_linkage.cpython-314-s390x-linux-gnu.so.p/meson-generated__linkage.c.o [148/253] Compiling C object sklearn/decomposition/_cdnmf_fast.cpython-314-s390x-linux-gnu.so.p/meson-generated__cdnmf_fast.c.o [149/253] Compiling C object sklearn/decomposition/_online_lda_fast.cpython-314-s390x-linux-gnu.so.p/meson-generated__online_lda_fast.c.o [150/253] Compiling C object sklearn/cluster/_hdbscan/_reachability.cpython-314-s390x-linux-gnu.so.p/meson-generated__reachability.c.o [151/253] Compiling C object sklearn/ensemble/_hist_gradient_boosting/_gradient_boosting.cpython-314-s390x-linux-gnu.so.p/meson-generated__gradient_boosting.c.o [152/253] Compiling C object sklearn/ensemble/_gradient_boosting.cpython-314-s390x-linux-gnu.so.p/meson-generated__gradient_boosting.c.o [153/253] Compiling C object sklearn/cluster/_hdbscan/_tree.cpython-314-s390x-linux-gnu.so.p/meson-generated__tree.c.o [154/253] Compiling C object sklearn/_loss/_loss.cpython-314-s390x-linux-gnu.so.p/meson-generated__loss.c.o sklearn/_loss/_loss.cpython-314-s390x-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_29loss_gradient’: sklearn/_loss/_loss.cpython-314-s390x-linux-gnu.so.p/_loss.c:87077:11: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 87077 | double *__pyx_v_p; | ^~~~~~~~~ sklearn/_loss/_loss.cpython-314-s390x-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_31loss_gradient’: sklearn/_loss/_loss.cpython-314-s390x-linux-gnu.so.p/_loss.c:87693:11: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 87693 | double *__pyx_v_p; | ^~~~~~~~~ sklearn/_loss/_loss.cpython-314-s390x-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_33loss_gradient’: sklearn/_loss/_loss.cpython-314-s390x-linux-gnu.so.p/_loss.c:88309:10: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 88309 | float *__pyx_v_p; | ^~~~~~~~~ sklearn/_loss/_loss.cpython-314-s390x-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_35loss_gradient’: sklearn/_loss/_loss.cpython-314-s390x-linux-gnu.so.p/_loss.c:88925:10: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 88925 | float *__pyx_v_p; | ^~~~~~~~~ sklearn/_loss/_loss.cpython-314-s390x-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_49gradient_hessian’: sklearn/_loss/_loss.cpython-314-s390x-linux-gnu.so.p/_loss.c:92186:11: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 92186 | double *__pyx_v_p; | ^~~~~~~~~ sklearn/_loss/_loss.cpython-314-s390x-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_51gradient_hessian’: sklearn/_loss/_loss.cpython-314-s390x-linux-gnu.so.p/_loss.c:92709:11: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 92709 | double *__pyx_v_p; | ^~~~~~~~~ sklearn/_loss/_loss.cpython-314-s390x-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_53gradient_hessian’: sklearn/_loss/_loss.cpython-314-s390x-linux-gnu.so.p/_loss.c:93232:10: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 93232 | float *__pyx_v_p; | ^~~~~~~~~ sklearn/_loss/_loss.cpython-314-s390x-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_55gradient_hessian’: sklearn/_loss/_loss.cpython-314-s390x-linux-gnu.so.p/_loss.c:93755:10: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 93755 | float *__pyx_v_p; | ^~~~~~~~~ sklearn/_loss/_loss.cpython-314-s390x-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_59gradient_proba’: sklearn/_loss/_loss.cpython-314-s390x-linux-gnu.so.p/_loss.c:94621:11: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 94621 | double *__pyx_v_p; | ^~~~~~~~~ sklearn/_loss/_loss.cpython-314-s390x-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_61gradient_proba’: sklearn/_loss/_loss.cpython-314-s390x-linux-gnu.so.p/_loss.c:95126:11: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 95126 | double *__pyx_v_p; | ^~~~~~~~~ sklearn/_loss/_loss.cpython-314-s390x-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_63gradient_proba’: sklearn/_loss/_loss.cpython-314-s390x-linux-gnu.so.p/_loss.c:95631:10: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 95631 | float *__pyx_v_p; | ^~~~~~~~~ sklearn/_loss/_loss.cpython-314-s390x-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_65gradient_proba’: sklearn/_loss/_loss.cpython-314-s390x-linux-gnu.so.p/_loss.c:96136:10: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 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-s390x-linux-gnu.so.p/_loss.c:91323:13: sklearn/_loss/_loss.cpython-314-s390x-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-s390x-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_45gradient’: sklearn/_loss/_loss.cpython-314-s390x-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-s390x-linux-gnu.so.p/_loss.c:90833:13: sklearn/_loss/_loss.cpython-314-s390x-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-s390x-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_43gradient’: sklearn/_loss/_loss.cpython-314-s390x-linux-gnu.so.p/_loss.c:90853:10: note: ‘__pyx_v_p’ was declared here 90853 | float *__pyx_v_p; | ^~~~~~~~~ sklearn/_loss/_loss.cpython-314-s390x-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_41gradient’: sklearn/_loss/_loss.cpython-314-s390x-linux-gnu.so.p/_loss.c:90363:11: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 90363 | double *__pyx_v_p; | ^~~~~~~~~ sklearn/_loss/_loss.cpython-314-s390x-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_39gradient’: sklearn/_loss/_loss.cpython-314-s390x-linux-gnu.so.p/_loss.c:89873:11: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 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-s390x-linux-gnu.so.p/_loss.c:86193:13: sklearn/_loss/_loss.cpython-314-s390x-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-s390x-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_25loss’: sklearn/_loss/_loss.cpython-314-s390x-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-s390x-linux-gnu.so.p/_loss.c:85683:13: sklearn/_loss/_loss.cpython-314-s390x-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-s390x-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_23loss’: sklearn/_loss/_loss.cpython-314-s390x-linux-gnu.so.p/_loss.c:85704:10: note: ‘__pyx_v_p’ was declared here 85704 | float *__pyx_v_p; | ^~~~~~~~~ sklearn/_loss/_loss.cpython-314-s390x-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_21loss’: sklearn/_loss/_loss.cpython-314-s390x-linux-gnu.so.p/_loss.c:85194:11: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 85194 | double *__pyx_v_p; | ^~~~~~~~~ sklearn/_loss/_loss.cpython-314-s390x-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_19loss’: sklearn/_loss/_loss.cpython-314-s390x-linux-gnu.so.p/_loss.c:84684:11: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 84684 | double *__pyx_v_p; | ^~~~~~~~~ [155/253] Compiling C object sklearn/ensemble/_hist_gradient_boosting/_binning.cpython-314-s390x-linux-gnu.so.p/meson-generated__binning.c.o [156/253] Compiling C object sklearn/ensemble/_hist_gradient_boosting/_bitset.cpython-314-s390x-linux-gnu.so.p/meson-generated__bitset.c.o [157/253] Compiling C object sklearn/ensemble/_hist_gradient_boosting/_predictor.cpython-314-s390x-linux-gnu.so.p/meson-generated__predictor.c.o [158/253] Compiling C object sklearn/ensemble/_hist_gradient_boosting/common.cpython-314-s390x-linux-gnu.so.p/meson-generated_common.c.o [159/253] Compiling C object sklearn/ensemble/_hist_gradient_boosting/histogram.cpython-314-s390x-linux-gnu.so.p/meson-generated_histogram.c.o [160/253] Compiling C object sklearn/ensemble/_hist_gradient_boosting/splitting.cpython-314-s390x-linux-gnu.so.p/meson-generated_splitting.c.o [161/253] Compiling C++ object sklearn/feature_extraction/_hashing_fast.cpython-314-s390x-linux-gnu.so.p/meson-generated__hashing_fast.cpp.o [162/253] Compiling C object sklearn/linear_model/_sag_fast.cpython-314-s390x-linux-gnu.so.p/meson-generated__sag_fast.c.o [163/253] Compiling C object sklearn/manifold/_utils.cpython-314-s390x-linux-gnu.so.p/meson-generated__utils.c.o [164/253] Compiling C object sklearn/manifold/_barnes_hut_tsne.cpython-314-s390x-linux-gnu.so.p/meson-generated__barnes_hut_tsne.c.o sklearn/manifold/_barnes_hut_tsne.cpython-314-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-linux-gnu.so.p/_barnes_hut_tsne.c:5642:10: note: ‘__pyx_v_buff’ was declared here 5642 | float *__pyx_v_buff; | ^~~~~~~~~~~~ [165/253] Compiling C object sklearn/datasets/_svmlight_format_fast.cpython-314-s390x-linux-gnu.so.p/meson-generated__svmlight_format_fast.c.o [166/253] Compiling C object sklearn/linear_model/_sgd_fast.cpython-314-s390x-linux-gnu.so.p/meson-generated__sgd_fast.c.o [167/253] Compiling C++ object sklearn/neighbors/_partition_nodes.cpython-314-s390x-linux-gnu.so.p/meson-generated__partition_nodes.cpp.o [168/253] Compiling C object sklearn/neighbors/_quad_tree.cpython-314-s390x-linux-gnu.so.p/meson-generated__quad_tree.c.o [169/253] Compiling C++ object sklearn/svm/_newrand.cpython-314-s390x-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-s390x-linux-gnu.so.p/meson-generated__cd_fast.c.o [172/253] Compiling C object sklearn/preprocessing/_csr_polynomial_expansion.cpython-314-s390x-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-s390x-linux-gnu.so.p/meson-generated__liblinear.c.o [175/253] Compiling C object sklearn/svm/_libsvm_sparse.cpython-314-s390x-linux-gnu.so.p/meson-generated__libsvm_sparse.c.o [176/253] Compiling C object sklearn/svm/_libsvm.cpython-314-s390x-linux-gnu.so.p/meson-generated__libsvm.c.o [177/253] Compiling C++ object sklearn/preprocessing/_target_encoder_fast.cpython-314-s390x-linux-gnu.so.p/meson-generated__target_encoder_fast.cpp.o [178/253] Compiling C object sklearn/tree/_splitter.cpython-314-s390x-linux-gnu.so.p/meson-generated__splitter.c.o [179/253] Compiling C object sklearn/neighbors/_ball_tree.cpython-314-s390x-linux-gnu.so.p/meson-generated__ball_tree.c.o sklearn/neighbors/_ball_tree.cpython-314-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_init_node64’: sklearn/neighbors/_ball_tree.cpython-314-s390x-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-s390x-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_init_node32’: sklearn/neighbors/_ball_tree.cpython-314-s390x-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-s390x-linux-gnu.so.p/_ball_tree.c:39564:19: sklearn/neighbors/_ball_tree.cpython-314-s390x-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-s390x-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-s390x-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-s390x-linux-gnu.so.p/_ball_tree.c:25680:19: sklearn/neighbors/_ball_tree.cpython-314-s390x-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-s390x-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-s390x-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; | ^~~~~~~~~~~~~~~~~~~~~ [180/253] Compiling C object sklearn/tree/_partitioner.cpython-314-s390x-linux-gnu.so.p/meson-generated__partitioner.c.o [181/253] Compiling C object sklearn/neighbors/_kd_tree.cpython-314-s390x-linux-gnu.so.p/meson-generated__kd_tree.c.o sklearn/neighbors/_kd_tree.cpython-314-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_init_node64’: sklearn/neighbors/_kd_tree.cpython-314-s390x-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-s390x-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-s390x-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_init_node32’: sklearn/neighbors/_kd_tree.cpython-314-s390x-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-s390x-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-s390x-linux-gnu.so.p/_kd_tree.c:39544:19: sklearn/neighbors/_kd_tree.cpython-314-s390x-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-s390x-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-s390x-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-s390x-linux-gnu.so.p/_kd_tree.c:25660:19: sklearn/neighbors/_kd_tree.cpython-314-s390x-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-s390x-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-s390x-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; | ^~~~~~~~~~~~~~~~~~~~~ [182/253] Compiling C object sklearn/tree/_utils.cpython-314-s390x-linux-gnu.so.p/meson-generated__utils.c.o [183/253] Linking target sklearn/__check_build/_check_build.cpython-314-s390x-linux-gnu.so [184/253] Compiling C object sklearn/tree/_criterion.cpython-314-s390x-linux-gnu.so.p/meson-generated__criterion.c.o [185/253] Linking target sklearn/_cyutility.cpython-314-s390x-linux-gnu.so [186/253] Linking target sklearn/_isotonic.cpython-314-s390x-linux-gnu.so [187/253] Linking target sklearn/utils/_cython_blas.cpython-314-s390x-linux-gnu.so [188/253] Linking target sklearn/utils/murmurhash.cpython-314-s390x-linux-gnu.so [189/253] Linking target sklearn/utils/arrayfuncs.cpython-314-s390x-linux-gnu.so [190/253] Linking target sklearn/utils/sparsefuncs_fast.cpython-314-s390x-linux-gnu.so [191/253] Linking target sklearn/utils/_openmp_helpers.cpython-314-s390x-linux-gnu.so [192/253] Compiling C++ object sklearn/tree/_tree.cpython-314-s390x-linux-gnu.so.p/meson-generated__tree.cpp.o In file included from /usr/include/c++/16/s390x-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-s390x-linux-gnu.so.p/_tree.cpp:1275: In member function ‘std::__new_allocator::construct(long*, long const&)void’, inlined from ‘std::allocator_traits >::construct(std::allocator&, long*, long const&)void’ at /usr/include/c++/16/bits/alloc_traits.h:714:17, inlined from ‘std::deque >::_M_push_back_aux(long const&)void’ at /usr/include/c++/16/bits/deque.tcc:501:30, inlined from ‘std::deque >::push_back(long const&)’ at /usr/include/c++/16/bits/stl_deque.h: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-s390x-linux-gnu.so.p/_tree.cpp:27492:44: /usr/include/c++/16/bits/new_allocator.h:203:11: warning: ‘__pyx_v_pruned_branch_node_idx’ may be used uninitialized [-Wmaybe-uninitialized] 203 | { ::new((void *)__p) _Up(std::forward<_Args>(__args)...); } | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/tree/_tree.cpython-314-s390x-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-s390x-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; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [193/253] Linking target sklearn/utils/_heap.cpython-314-s390x-linux-gnu.so [194/253] Linking target sklearn/utils/_fast_dict.cpython-314-s390x-linux-gnu.so [195/253] Linking target sklearn/utils/_sorting.cpython-314-s390x-linux-gnu.so [196/253] Linking target sklearn/utils/_random.cpython-314-s390x-linux-gnu.so [197/253] Linking target sklearn/utils/_typedefs.cpython-314-s390x-linux-gnu.so [198/253] Linking target sklearn/utils/_isfinite.cpython-314-s390x-linux-gnu.so [199/253] Linking target sklearn/utils/_weight_vector.cpython-314-s390x-linux-gnu.so [200/253] Linking target sklearn/utils/_vector_sentinel.cpython-314-s390x-linux-gnu.so [201/253] Linking target sklearn/utils/_seq_dataset.cpython-314-s390x-linux-gnu.so [202/253] Linking target sklearn/_loss/_loss.cpython-314-s390x-linux-gnu.so [203/253] Linking target sklearn/metrics/_pairwise_fast.cpython-314-s390x-linux-gnu.so [204/253] Linking target sklearn/metrics/_pairwise_distances_reduction/_datasets_pair.cpython-314-s390x-linux-gnu.so [205/253] Linking target sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-s390x-linux-gnu.so [206/253] Linking target sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer.cpython-314-s390x-linux-gnu.so [207/253] Linking target sklearn/metrics/_dist_metrics.cpython-314-s390x-linux-gnu.so [208/253] Linking target sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-314-s390x-linux-gnu.so [209/253] Linking target sklearn/cluster/_dbscan_inner.cpython-314-s390x-linux-gnu.so [210/253] Linking target sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode.cpython-314-s390x-linux-gnu.so [211/253] Linking target sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-314-s390x-linux-gnu.so [212/253] Linking target sklearn/metrics/cluster/_expected_mutual_info_fast.cpython-314-s390x-linux-gnu.so [213/253] Linking target sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_classmode.cpython-314-s390x-linux-gnu.so [214/253] Linking target sklearn/cluster/_k_means_common.cpython-314-s390x-linux-gnu.so [215/253] Linking target sklearn/cluster/_k_means_elkan.cpython-314-s390x-linux-gnu.so [216/253] Linking target sklearn/cluster/_k_means_lloyd.cpython-314-s390x-linux-gnu.so [217/253] Linking target sklearn/cluster/_hierarchical_fast.cpython-314-s390x-linux-gnu.so [218/253] Linking target sklearn/cluster/_k_means_minibatch.cpython-314-s390x-linux-gnu.so [219/253] Linking target sklearn/cluster/_hdbscan/_linkage.cpython-314-s390x-linux-gnu.so [220/253] Linking target sklearn/decomposition/_cdnmf_fast.cpython-314-s390x-linux-gnu.so [221/253] Linking target sklearn/cluster/_hdbscan/_tree.cpython-314-s390x-linux-gnu.so [222/253] Linking target sklearn/decomposition/_online_lda_fast.cpython-314-s390x-linux-gnu.so [223/253] Linking target sklearn/cluster/_hdbscan/_reachability.cpython-314-s390x-linux-gnu.so [224/253] Linking target sklearn/ensemble/_gradient_boosting.cpython-314-s390x-linux-gnu.so [225/253] Linking target sklearn/ensemble/_hist_gradient_boosting/_gradient_boosting.cpython-314-s390x-linux-gnu.so 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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_s390x.whl size=28308291 sha256=21c922b0accf9b4344113a47a96eb78da8d30bb4d2c8f00faeadfd6a99c83f17 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.BkJJqi + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.8.0-build + '[' /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT '!=' / ']' + rm -rf /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT ++ dirname /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT + mkdir -p /builddir/build/BUILD/python-scikit-learn-1.8.0-build + mkdir /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,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 ++ xargs basename --multiple ++ sed -E 's/([^-]+)-([^-]+)-.+\.whl/\1==\2/' ++ ls /builddir/build/BUILD/python-scikit-learn-1.8.0-build/pyproject-wheeldir/scikit_learn-1.8.0-cp314-cp314-linux_s390x.whl + 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_s390x.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.s390x-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.s390x-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.s390x-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.s390x-pyproject-files --output-modules /builddir/build/BUILD/python-scikit-learn-1.8.0-build/python-scikit-learn-1.8.0-1.fc45.s390x-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.s390x-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.s390x --unique-debug-src-base python-scikit-learn-1.8.0-1.fc45.s390x --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 /usr/bin/sepdebugcrcfix: Updated 69 CRC32s, 0 CRC32s did match. 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directory /usr/bin/cpio: .mesonpy-cykx487c/sklearn/utils/murmurhash.cpython-314-s390x-linux-gnu.so.p/murmurhash.c: Cannot stat: No such file or directory /usr/bin/cpio: .mesonpy-cykx487c/sklearn/utils/sparsefuncs_fast.cpython-314-s390x-linux-gnu.so.p/sparsefuncs_fast.c: Cannot stat: No such file or directory find-debuginfo: done + /usr/lib/rpm/check-buildroot + /usr/lib/rpm/redhat/brp-ldconfig + COMPRESS='gzip -9 -n' + COMPRESS_EXT=.gz + /usr/lib/rpm/brp-compress + /usr/lib/rpm/redhat/brp-strip-lto /usr/bin/strip + /usr/lib/rpm/check-rpaths + /usr/lib/rpm/redhat/brp-mangle-shebangs mangling shebang in /usr/lib64/python3.14/site-packages/sklearn/_build_utils/version.py from /usr/bin/env python3 to #!/usr/bin/python3 + /usr/lib/rpm/brp-remove-la-files + /usr/lib/rpm/redhat/brp-python-rpm-in-distinfo + env /usr/lib/rpm/redhat/brp-python-bytecompile '' 1 0 -j4 Bytecompiling .py files below /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib/debug/usr/lib64/python3.14 using python3.14 Bytecompiling .py files below /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14 using python3.14 + /usr/lib/rpm/redhat/brp-python-hardlink + /usr/bin/add-det --brp -j4 /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/__pycache__/random_projection.cpython-314.opt-1.pyc: rewriting with normalized contents /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/__pycache__/multioutput.cpython-314.opt-1.pyc: rewriting with normalized contents /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/__pycache__/naive_bayes.cpython-314.opt-1.pyc: rewriting with normalized contents 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/builddir/build/BUILD/python-scikit-learn-1.8.0-build/SPECPARTS/rpm-debuginfo.specpart Executing(%check): /bin/sh -e /var/tmp/rpm-tmp.uRV8NE + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.8.0-build + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,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 ~/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 + pytest sklearn ============================= test session starts 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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/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[42] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/covariance/_robust_covariance.py:188: RuntimeWarning: Determinant has increased; this should not happen: log(det) > log(previous_det) (-56.084911536910312 > -56.452181047280128). You may want to try with a higher value of support_fraction (current value: 1.000). warnings.warn( sklearn/covariance/tests/test_robust_covariance.py::test_mcd[42] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/covariance/_robust_covariance.py:188: RuntimeWarning: Determinant has increased; this should not happen: log(det) > log(previous_det) (-56.084911536910312 > -58.586347488649267). You may want to try with a higher value of support_fraction (current value: 1.000). warnings.warn( sklearn/covariance/tests/test_robust_covariance.py::test_mcd[42] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/covariance/_robust_covariance.py:188: RuntimeWarning: Determinant has increased; this should not happen: log(det) > log(previous_det) (-55.259514522276163 > -56.532223754953819). You may want to try with a higher value of support_fraction (current value: 1.000). warnings.warn( sklearn/covariance/tests/test_robust_covariance.py::test_mcd_issue3367[42] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/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: 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: 7.153e-07, tolerance: 1.462e-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: 2.384e-07, tolerance: 3.217e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_sparse_encode_dtype_match[float32-lasso_cd] sklearn/decomposition/tests/test_dict_learning.py::test_sparse_encode_numerical_consistency[lasso_cd] sklearn/decomposition/tests/test_dict_learning.py::test_sparse_coder_dtype_match[float32-lasso_cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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: 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: 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: 8.345e-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] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.980e-07, tolerance: 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] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.311e-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: 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_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: 1.073e-06, tolerance: 5.441e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-threshold-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-omp-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_dtype_match[float32-float32-cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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: 4.853e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py: 13 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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_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: 1.431e-06, tolerance: 1.462e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py: 39 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: 1.134e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py: 21 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_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: 1.246e-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: 7.153e-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: 1.198e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-threshold-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-omp-cd] sklearn/decomposition/tests/test_dict_learning.py::test_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: 1.246e-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: 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_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: 1.198e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py: 12 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.192e-07, tolerance: 8.058e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py: 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::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] 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: 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::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: 1.192e-06, tolerance: 1.246e-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: 1.462e-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: 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_cd-lars] 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_dict_learning_online_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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[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: 1.550e-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] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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: 4.439e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-threshold-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-omp-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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_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: 5.364e-07, tolerance: 1.246e-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_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: 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-lars] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd] sklearn/decomposition/tests/test_dict_learning.py::test_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: 4.768e-07, tolerance: 1.198e-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: 4.768e-07, tolerance: 1.246e-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: 9.537e-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: 2.384e-07, tolerance: 4.853e-08 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: 2.384e-07, tolerance: 4.439e-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: 1.788e-06, tolerance: 1.462e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.364e-07, tolerance: 1.198e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_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: 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: 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_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_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_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: 1.462e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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: 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_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: 3.159e-06, tolerance: 1.462e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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: 1.134e-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: 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_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: 2.384e-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-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: 1.060e-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-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: 1.184e-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-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: 6.145e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.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: 4.768e-07, tolerance: 1.138e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-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: 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-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: 1.060e-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: 2.384e-07, tolerance: 1.060e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py: 10 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.537e-07, tolerance: 2.111e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] 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: 1.175e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-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: 1.138e-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: 7.153e-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-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] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-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: 2.711e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA] 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: 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-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-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: 7.153e-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-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-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: 1.228e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.153e-07, tolerance: 2.111e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.623e-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: 1.184e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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] 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: 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: 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] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.669e-06, tolerance: 2.111e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-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: 1.175e-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] 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: 6.236e-08 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: 1.907e-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-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: 1.175e-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: 1.175e-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: 2.861e-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-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: 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-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: 9.191e-08 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: 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: 12 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[ExtraTreesRegressor] /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 11 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/gaussian_process/tests/test_gpr.py::test_gpr_predict_input_not_modified /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/gaussian_process/kernels.py:450: ConvergenceWarning: The optimal value found for dimension 0 of parameter constant_value is close to the specified upper bound 100000.0. Increasing the bound and calling fit again may find a better value. warnings.warn( sklearn/gaussian_process/tests/test_gpr.py::test_gpr_predict_input_not_modified /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/gaussian_process/_gpr.py:490: UserWarning: Predicted variances smaller than 0. Setting those variances to 0. warnings.warn( sklearn/impute/tests/test_common.py: 16 warnings sklearn/impute/tests/test_impute.py: 1 warning /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.14/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] /usr/lib64/python3.14/site-packages/scipy/_lib/_util.py:1233: LinAlgWarning: Ill-conditioned matrix (rcond=7.96772e-17): result may not be accurate. return f(*arrays, *other_args, **kwargs) 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:408: RuntimeWarning: invalid value encountered in scalar divide beta = rho_cur / rho_prev 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=8.23939e-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_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/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/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, 3784 warnings in 9993.96s (2:46:33) = + 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.s390x Executing(%doc): /bin/sh -e /var/tmp/rpm-tmp.JX7d5Z + 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.cMUUzE + 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(s390-64) = 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 libc.so.6()(64bit) libc.so.6(GLIBC_2.2)(64bit) libc.so.6(GLIBC_2.3.4)(64bit) libc.so.6(GLIBC_2.32)(64bit) libc.so.6(GLIBC_2.4)(64bit) libgcc_s.so.1()(64bit) libgcc_s.so.1(GCC_3.0)(64bit) libgcc_s.so.1(GCC_3.3.1)(64bit) libgomp.so.1()(64bit) libgomp.so.1(GOMP_1.0)(64bit) libgomp.so.1(GOMP_4.0)(64bit) libgomp.so.1(OMP_1.0)(64bit) libgomp.so.1(OMP_3.0)(64bit) libm.so.6()(64bit) libm.so.6(GLIBC_2.2)(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.s390x Provides: python-scikit-learn-debugsource = 1.8.0-1.fc45 python-scikit-learn-debugsource(s390-64) = 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.s390x Provides: debuginfo(build-id) = 04c0ba0710fb543cff91f53131ee36560df41c5d debuginfo(build-id) = 0690afdda8484fe83757385167b5da7254696513 debuginfo(build-id) = 072de89019306baf180872181fa5fc2f99858f3a debuginfo(build-id) = 09c3b72da44fb811020b0ae324e57da1dcf9b094 debuginfo(build-id) = 0ffd93afad1936ebe7c21cc9fddc6a4cb8fcfa80 debuginfo(build-id) = 16c96b0ed847f5d9789a34402a222400120ffe2d debuginfo(build-id) = 1f11d4d64611fc6bf55b33ebd4d9923cf031e685 debuginfo(build-id) = 1fd9376fc6f6e1b534bd230479b674733c9d7e23 debuginfo(build-id) = 24d60a5ca2ddc3a3a0e172de9f8b78d6440d28ae debuginfo(build-id) = 2d06358f5e6c6b90038b45259f82ba89c27b2e54 debuginfo(build-id) = 2e8fe50f7205a13ee3942528271f04724b1b80c8 debuginfo(build-id) = 2f14ea7b91bea2e88d79fb622c8ca07bc10d30b8 debuginfo(build-id) = 39ec9e9f6d21b63bee1c77b20eee2925f7ea6f32 debuginfo(build-id) = 3c819f3271cab6eff824ab02ed7deb9eef5f389d debuginfo(build-id) = 4c7336e1ef343beb1b56f6f01e7f62b207e5b635 debuginfo(build-id) = 4e63d633d2d8cf635d981fc1c4fc01f5fd445c39 debuginfo(build-id) = 50c1297d560018a3e3cdde6b016edb8f6e298c6a debuginfo(build-id) = 5654b0d22d66f662fc8990ba75a0cf1524290fe4 debuginfo(build-id) = 57f83d27a7c5da1ac2d9cb587d43e2ffd54ea5a9 debuginfo(build-id) = 590096230a14031e4104be0654b6b6237321e396 debuginfo(build-id) = 5d08e578a974e424989f9749b18a292146c98130 debuginfo(build-id) = 5d1bad3f1f8bd27d66925bfb76b540466be621a5 debuginfo(build-id) = 60078fcb372921ced5bc0843c9e6b54c99a85148 debuginfo(build-id) = 620f6de25f751bee9aba3c6697d2e59a7d02a99c debuginfo(build-id) = 6a331ce61550f3f7fd70d337849653f5e20edb7b debuginfo(build-id) = 6c115211a59a0d65bec31baab0ea72c8c2d0dacf debuginfo(build-id) = 6d3c571559819e9128936d5063f6c598028fec0c debuginfo(build-id) = 6ee305cb8a575f1ae9670d9b158cb741419c32f3 debuginfo(build-id) = 70f4dfcffc42d1fc7109279b5a7da4f781ec51ba debuginfo(build-id) = 7718ee837d384e53953a7c0964aeeb0c661fc065 debuginfo(build-id) = 77d8a0a6a0321ac5ead5a615a93135e0b4aada88 debuginfo(build-id) = 78090ff74866a6e4c7441fd434ad8e436b7ea1a2 debuginfo(build-id) = 7a7cbf153ab937080f74919a994e55ea53c1a3d0 debuginfo(build-id) = 7aa2685929fccb603d972381dea37ac7e76780c0 debuginfo(build-id) = 7d220ffecc807affd89e352c4f8a1a13dd85bad4 debuginfo(build-id) = 8080d211427aa80574b81fea2e23b00b1c61a55e debuginfo(build-id) = 8319a0c79eb302202681ebd933cbe574e9b5ffa8 debuginfo(build-id) = 85548aa33a00c875b91a1a5bd9d54517724fe152 debuginfo(build-id) = 8984973df3b30255f02c4c8e1d6a2e20c10dd358 debuginfo(build-id) = 8b1c31d04631f4ae5a7d010cd30043422284c611 debuginfo(build-id) = 8f79d170446faa464415108adc928938672000d4 debuginfo(build-id) = 953fbc184afaa24edda9f3f577fad85eddcc2d4e debuginfo(build-id) = 96ab33607117194afaa487320bf4b9bf2cee237e debuginfo(build-id) = 9821e26391dff642286a7c4c0a86f618a773ebec debuginfo(build-id) = 9924afe2e0dd67010554c95ce77cea13bffae0e0 debuginfo(build-id) = 9b5c08779f6ab30e5bc85760b9ee65c54f356378 debuginfo(build-id) = 9da6d3739a58984e865304cc17f936e0f2f6ef14 debuginfo(build-id) = 9fe69eaf3b31e8cbbd30b6c0e6e4382dfe427996 debuginfo(build-id) = a0307127d5bf3c3de5b0fc1dbdd9a597b18a01a0 debuginfo(build-id) = a61ce1ee196e3bfd0e555c00cc26cc2c23d3483f debuginfo(build-id) = a8488ccd0f2c6692e34e4b5753f5f56314373c80 debuginfo(build-id) = a89762d3fd2a216d42a03d0613c3d84785cba6bc debuginfo(build-id) = a974ab6348b6c6ea2b0bfd8fc2cc94c89e1000b4 debuginfo(build-id) = aa228027f99f8d0f5b92e9b586b49ea1a2c30316 debuginfo(build-id) = b700d40130c5d8380d168d97cc0088758607c4f1 debuginfo(build-id) = c53a1495779cc30036bc379667b7702dfd7a57bf debuginfo(build-id) = cd9aecd6ce9bbc82b4fb175eb7ee3d69dcdfe380 debuginfo(build-id) = d45459835b6cc9548882c3c76ac47bbc82e62014 debuginfo(build-id) = d81bc462771279d356b74e33be9566fb79044048 debuginfo(build-id) = d83ba5250b7c42850f5fcc91b74c5cf37737d330 debuginfo(build-id) = dd63ad3e7f04ad0cb45b16f5e472e829ef3c984f debuginfo(build-id) = e924f331a2183e8d430b0eaee1e63391a2bc241b debuginfo(build-id) = eb9981dc5eba72035919c75c4f45e307c90626e5 debuginfo(build-id) = ee3ed4fda11a07e0afc26af70847c4c78aeb2462 debuginfo(build-id) = f90d0194c37c6dcb2c5d78eda8a0257a9efec688 debuginfo(build-id) = f9ea4badc00e9898d57e000ea001228eff0ea0a6 debuginfo(build-id) = fa5b6c67c65261320f7583da3e5e5d19e36aaf12 debuginfo(build-id) = fb33b81ba745e8dde17411128fb9003e9e9f9735 debuginfo(build-id) = fd0cd6c5bacad717bfbb99137e236765b3b3a4a0 python-scikit-learn-debuginfo = 1.8.0-1.fc45 python3-scikit-learn-debuginfo = 1.8.0-1.fc45 python3-scikit-learn-debuginfo(s390-64) = 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(s390-64) = 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.s390x.rpm Wrote: /builddir/build/RPMS/python3-scikit-learn-debuginfo-1.8.0-1.fc45.s390x.rpm Wrote: /builddir/build/RPMS/python3-scikit-learn-1.8.0-1.fc45.s390x.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-s390x-1774346545.628788/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) 217 minutes 7 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: C/C++, Python, Shell-api, 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": "s390x" }, { "name": "python-scikit-learn", "epoch": null, "version": "1.8.0", "release": "1.fc45", "arch": "src" }, { "name": "python3-scikit-learn", "epoch": null, "version": "1.8.0", "release": "1.fc45", "arch": "s390x" }, { "name": "python-scikit-learn-debugsource", "epoch": null, "version": "1.8.0", "release": "1.fc45", "arch": "s390x" } ] } RPMResults finished