Warning: Permanently added '2620:52:3:1:dead:beef:cafe:c29b' (ED25519) to the list of known hosts. cmd: ['dist-git-client', 'sources'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-9u8ra5vj/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-1.5.2.tar.gz INFO: Reading stdout from command: curl --help all INFO: Calling: curl -H Pragma: -o scikit_learn-1.5.2.tar.gz --location --connect-timeout 60 --retry 3 --retry-delay 10 --remote-time --show-error --fail --retry-all-errors https://copr-dist-git.fedorainfracloud.org/repo/pkgs/psimovec/scipy-1.8.3/python-scikit-learn/scikit_learn-1.5.2.tar.gz/md5/e2df2bb829d461207fe8780f3e9a9cde/scikit_learn-1.5.2.tar.gz % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 6837k 100 6837k 0 0 32.0M 0 --:--:-- --:--:-- --:--:-- 32.1M INFO: Reading stdout from command: md5sum scikit_learn-1.5.2.tar.gz Running (timeout=18000): unbuffer mock --spec /var/lib/copr-rpmbuild/workspace/workdir-9u8ra5vj/python-scikit-learn/python-scikit-learn.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-9u8ra5vj/python-scikit-learn --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1732616421.678575 -r /var/lib/copr-rpmbuild/results/configs/child.cfg INFO: mock.py version 5.9 starting (python version = 3.13.0, NVR = mock-5.9-1.fc41), args: /usr/libexec/mock/mock --spec /var/lib/copr-rpmbuild/workspace/workdir-9u8ra5vj/python-scikit-learn/python-scikit-learn.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-9u8ra5vj/python-scikit-learn --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1732616421.678575 -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-9u8ra5vj/python-scikit-learn/python-scikit-learn.spec) Config(fedora-rawhide-ppc64le) Start: clean chroot Finish: clean chroot Mock Version: 5.9 INFO: Mock Version: 5.9 Start(bootstrap): chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-ppc64le-bootstrap-1732616421.678575/root. INFO: calling preinit hooks INFO: enabled root cache INFO: enabled package manager cache Start(bootstrap): cleaning package manager metadata Finish(bootstrap): cleaning package manager metadata INFO: Guessed host environment type: unknown INFO: Using bootstrap image: registry.fedoraproject.org/fedora:rawhide INFO: Pulling image: registry.fedoraproject.org/fedora:rawhide INFO: Copy content of container registry.fedoraproject.org/fedora:rawhide to /var/lib/mock/fedora-rawhide-ppc64le-bootstrap-1732616421.678575/root INFO: Checking that registry.fedoraproject.org/fedora:rawhide image matches host's architecture INFO: mounting registry.fedoraproject.org/fedora:rawhide with podman image mount INFO: image registry.fedoraproject.org/fedora:rawhide as /var/lib/containers/storage/overlay/49f2cf5723c8bd9658074b42a0abc3bd0178bdf341b78c6af82d6fae0676e6ee/merged INFO: umounting image registry.fedoraproject.org/fedora:rawhide (/var/lib/containers/storage/overlay/49f2cf5723c8bd9658074b42a0abc3bd0178bdf341b78c6af82d6fae0676e6ee/merged) with podman image umount INFO: Package manager dnf5 detected and used (fallback) INFO: Not updating bootstrap chroot, bootstrap_image_ready=True Start(bootstrap): creating root cache Finish(bootstrap): creating root cache Finish(bootstrap): chroot init Start: chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-ppc64le-1732616421.678575/root. INFO: calling preinit hooks INFO: enabled root cache INFO: enabled package manager cache Start: cleaning package manager metadata Finish: cleaning package manager metadata INFO: enabled HW Info plugin INFO: Package manager dnf5 detected and used (direct choice) INFO: Buildroot is handled by package management downloaded with a bootstrap image: rpm-4.20.0-1.fc42.ppc64le rpm-sequoia-1.7.0-2.fc41.ppc64le dnf5-5.2.7.0-1.fc42.ppc64le dnf5-plugins-5.2.7.0-1.fc42.ppc64le Start: installing minimal buildroot with dnf5 Updating and loading repositories: fedora 100% | 16.0 MiB/s | 20.0 MiB | 00m01s Copr repository 100% | 1.9 MiB/s | 366.8 KiB | 00m00s Additional repo http_kojipkgs_fedorapr 100% | 40.0 MiB/s | 13.9 MiB | 00m00s Repositories loaded. 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lz4-libs ppc64le 1.10.0-1.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 325.2 KiB mpfr ppc64le 4.2.1-5.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 976.9 KiB ncurses-base noarch 6.5-2.20240629.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 326.3 KiB ncurses-libs ppc64le 6.5-2.20240629.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.4 MiB ocaml-srpm-macros noarch 10-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.9 KiB openblas-srpm-macros noarch 2-18.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 112.0 B openldap ppc64le 2.6.8-5.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.1 MiB openssl-libs ppc64le 1:3.2.2-8.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 8.6 MiB p11-kit ppc64le 0.25.5-4.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 3.1 MiB p11-kit-trust ppc64le 0.25.5-4.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 655.4 KiB package-notes-srpm-macros noarch 0.5-12.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.6 KiB pam ppc64le 1.7.0-3.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 4.2 MiB pam-libs ppc64le 1.7.0-3.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 286.9 KiB pcre2 ppc64le 10.44-1.fc41.1 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 968.8 KiB pcre2-syntax noarch 10.44-1.fc41.1 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 251.6 KiB perl-srpm-macros noarch 1-56.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 861.0 B pkgconf ppc64le 2.3.0-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 240.5 KiB pkgconf-m4 noarch 2.3.0-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 14.4 KiB pkgconf-pkg-config ppc64le 2.3.0-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 990.0 B popt ppc64le 1.19-7.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 272.8 KiB publicsuffix-list-dafsa noarch 20240107-4.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 67.5 KiB pyproject-srpm-macros noarch 1.16.2-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.9 KiB python-srpm-macros noarch 3.13-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 51.0 KiB qt5-srpm-macros noarch 5.15.15-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 500.0 B qt6-srpm-macros noarch 6.8.0-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 456.0 B readline ppc64le 8.2-11.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 881.0 KiB rpm ppc64le 4.20.0-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 4.8 MiB rpm-build-libs ppc64le 4.20.0-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 390.6 KiB rpm-libs ppc64le 4.20.0-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.2 MiB rpm-sequoia ppc64le 1.7.0-2.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.9 MiB rust-srpm-macros noarch 26.3-3.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 4.8 KiB setup noarch 2.15.0-5.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 720.7 KiB sqlite-libs ppc64le 3.47.0-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.8 MiB systemd-libs ppc64le 257~rc2-2.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.9 MiB util-linux-core ppc64le 2.40.2-8.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 6.2 MiB xxhash-libs ppc64le 0.8.2-4.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 211.9 KiB xz-libs ppc64le 1:5.6.3-2.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 394.1 KiB zig-srpm-macros noarch 1-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.1 KiB zip ppc64le 3.0-41.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.2 MiB zlib-ng-compat ppc64le 2.2.2-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 197.7 KiB zstd ppc64le 1.5.6-2.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.1 MiB Installing groups: Buildsystem building group Transaction Summary: Installing: 154 packages Total size of inbound packages is 56 MiB. Need to download 56 MiB. After this operation, 265 MiB extra will be used (install 265 MiB, remove 0 B). [ 1/154] bzip2-0:1.0.8-19.fc41.ppc64le 100% | 481.0 KiB/s | 53.4 KiB | 00m00s [ 2/154] bash-0:5.2.37-1.fc42.ppc64le 100% | 12.1 MiB/s | 1.9 MiB | 00m00s [ 3/154] cpio-0:2.15-2.fc41.ppc64le 100% | 6.4 MiB/s | 292.9 KiB | 00m00s [ 4/154] coreutils-0:9.5-11.fc42.ppc64 100% | 7.0 MiB/s | 1.2 MiB | 00m00s [ 5/154] fedora-release-common-0:42-0. 100% | 1.1 MiB/s | 23.5 KiB | 00m00s [ 6/154] diffutils-0:3.10-8.fc41.ppc64 100% | 12.1 MiB/s | 409.3 KiB | 00m00s [ 7/154] findutils-1:4.10.0-4.fc41.ppc 100% | 14.9 MiB/s | 579.3 KiB | 00m00s [ 8/154] glibc-minimal-langpack-0:2.40 100% | 6.1 MiB/s | 119.5 KiB | 00m00s [ 9/154] gawk-0:5.3.0-4.fc41.ppc64le 100% | 23.3 MiB/s | 1.1 MiB | 00m00s [ 10/154] grep-0:3.11-9.fc41.ppc64le 100% | 13.3 MiB/s | 299.4 KiB | 00m00s [ 11/154] gzip-0:1.13-2.fc41.ppc64le 100% | 7.5 MiB/s | 168.1 KiB | 00m00s [ 12/154] info-0:7.1.1-2.fc42.ppc64le 100% | 10.4 MiB/s | 201.4 KiB | 00m00s [ 13/154] patch-0:2.7.6-25.fc41.ppc64le 100% | 7.7 MiB/s | 142.1 KiB | 00m00s [ 14/154] redhat-rpm-config-0:296-1.fc4 100% | 4.1 MiB/s | 75.7 KiB | 00m00s [ 15/154] rpm-build-0:4.20.0-1.fc42.ppc 100% | 4.4 MiB/s | 77.3 KiB | 00m00s [ 16/154] sed-0:4.9-3.fc41.ppc64le 100% | 14.6 MiB/s | 314.8 KiB | 00m00s [ 17/154] unzip-0:6.0-65.fc42.ppc64le 100% | 8.6 MiB/s | 192.7 KiB | 00m00s [ 18/154] tar-2:1.35-4.fc41.ppc64le 100% | 21.3 MiB/s | 874.3 KiB | 00m00s [ 19/154] shadow-utils-2:4.16.0-7.fc42. 100% | 21.0 MiB/s | 1.3 MiB | 00m00s [ 20/154] util-linux-0:2.40.2-8.fc42.pp 100% | 33.6 MiB/s | 1.2 MiB | 00m00s [ 21/154] which-0:2.21-42.fc41.ppc64le 100% | 1.8 MiB/s | 42.9 KiB | 00m00s [ 22/154] xz-libs-1:5.6.3-2.fc42.ppc64l 100% | 5.5 MiB/s | 124.7 KiB | 00m00s [ 23/154] xz-1:5.6.3-2.fc42.ppc64le 100% | 10.6 MiB/s | 465.5 KiB | 00m00s [ 24/154] audit-libs-0:4.0.2-1.fc41.ppc 100% | 7.0 MiB/s | 142.5 KiB | 00m00s [ 25/154] authselect-libs-0:1.5.0-8.fc4 100% | 6.6 MiB/s | 209.4 KiB | 00m00s [ 26/154] libblkid-0:2.40.2-8.fc42.ppc6 100% | 6.9 MiB/s | 141.6 KiB | 00m00s [ 27/154] libcap-ng-0:0.8.5-3.fc41.ppc6 100% | 1.8 MiB/s | 33.7 KiB | 00m00s [ 28/154] libfdisk-0:2.40.2-8.fc42.ppc6 100% | 8.6 MiB/s | 175.7 KiB | 00m00s [ 29/154] glibc-0:2.40.9000-20.fc42.ppc 100% | 30.1 MiB/s | 3.1 MiB | 00m00s [ 30/154] libmount-0:2.40.2-8.fc42.ppc6 100% | 5.8 MiB/s | 177.8 KiB | 00m00s [ 31/154] librtas-0:2.0.6-2.fc41.ppc64l 100% | 2.6 MiB/s | 81.3 KiB | 00m00s [ 32/154] libselinux-0:3.7-6.fc42.ppc64 100% | 5.1 MiB/s | 100.1 KiB | 00m00s [ 33/154] libsmartcols-0:2.40.2-8.fc42. 100% | 5.4 MiB/s | 109.9 KiB | 00m00s [ 34/154] libuuid-0:2.40.2-8.fc42.ppc64 100% | 1.6 MiB/s | 30.5 KiB | 00m00s [ 35/154] ncurses-libs-0:6.5-2.20240629 100% | 16.1 MiB/s | 378.3 KiB | 00m00s [ 36/154] pam-0:1.7.0-3.fc42.ppc64le 100% | 18.1 MiB/s | 556.5 KiB | 00m00s [ 37/154] pam-libs-0:1.7.0-3.fc42.ppc64 100% | 2.7 MiB/s | 64.0 KiB | 00m00s [ 38/154] readline-0:8.2-11.fc42.ppc64l 100% | 10.2 MiB/s | 230.4 KiB | 00m00s [ 39/154] systemd-libs-0:257~rc2-2.fc42 100% | 25.6 MiB/s | 865.1 KiB | 00m00s [ 40/154] zlib-ng-compat-0:2.2.2-1.fc42 100% | 3.5 MiB/s | 78.9 KiB | 00m00s [ 41/154] util-linux-core-0:2.40.2-8.fc 100% | 14.1 MiB/s | 565.1 KiB | 00m00s [ 42/154] bzip2-libs-0:1.0.8-19.fc41.pp 100% | 2.3 MiB/s | 46.7 KiB | 00m00s [ 43/154] libacl-0:2.3.2-2.fc41.ppc64le 100% | 1.3 MiB/s | 27.3 KiB | 00m00s [ 44/154] libcap-0:2.71-1.fc42.ppc64le 100% | 5.0 MiB/s | 92.4 KiB | 00m00s [ 45/154] libgcc-0:14.2.1-6.fc42.ppc64l 100% | 5.9 MiB/s | 115.5 KiB | 00m00s [ 46/154] libattr-0:2.5.2-4.fc41.ppc64l 100% | 995.1 KiB/s | 18.9 KiB | 00m00s [ 47/154] libeconf-0:0.7.4-3.fc42.ppc64 100% | 2.1 MiB/s | 39.3 KiB | 00m00s [ 48/154] libsemanage-0:3.7-3.fc42.ppc6 100% | 6.6 MiB/s | 128.8 KiB | 00m00s [ 49/154] libxcrypt-0:4.4.36-10.fc42.pp 100% | 6.4 MiB/s | 130.8 KiB | 00m00s [ 50/154] setup-0:2.15.0-5.fc41.noarch 100% | 7.6 MiB/s | 148.3 KiB | 00m00s [ 51/154] debugedit-0:5.1-1.fc42.ppc64l 100% | 4.4 MiB/s | 81.6 KiB | 00m00s [ 52/154] elfutils-0:0.192-6.fc42.ppc64 100% | 25.1 MiB/s | 565.8 KiB | 00m00s [ 53/154] elfutils-libelf-0:0.192-6.fc4 100% | 10.0 MiB/s | 216.1 KiB | 00m00s [ 54/154] file-0:5.45-8.fc42.ppc64le 100% | 2.7 MiB/s | 49.4 KiB | 00m00s [ 55/154] libarchive-0:3.7.7-1.fc42.ppc 100% | 21.3 MiB/s | 479.7 KiB | 00m00s [ 56/154] pkgconf-pkg-config-0:2.3.0-1. 100% | 496.8 KiB/s | 9.9 KiB | 00m00s [ 57/154] popt-0:1.19-7.fc41.ppc64le 100% | 3.5 MiB/s | 63.9 KiB | 00m00s [ 58/154] rpm-0:4.20.0-1.fc42.ppc64le 100% | 17.6 MiB/s | 521.7 KiB | 00m00s [ 59/154] rpm-build-libs-0:4.20.0-1.fc4 100% | 5.8 MiB/s | 107.0 KiB | 00m00s [ 60/154] rpm-libs-0:4.20.0-1.fc42.ppc6 100% | 16.5 MiB/s | 353.8 KiB | 00m00s [ 61/154] zstd-0:1.5.6-2.fc41.ppc64le 100% | 17.6 MiB/s | 504.1 KiB | 00m00s [ 62/154] curl-0:8.10.1-2.fc42.ppc64le 100% | 11.6 MiB/s | 225.7 KiB | 00m00s [ 63/154] ansible-srpm-macros-0:1-16.fc 100% | 1.2 MiB/s | 20.8 KiB | 00m00s [ 64/154] binutils-0:2.43.50-8.fc42.ppc 100% | 33.6 MiB/s | 6.4 MiB | 00m00s [ 65/154] build-reproducibility-srpm-ma 100% | 294.2 KiB/s | 11.2 KiB | 00m00s [ 66/154] glibc-gconv-extra-0:2.40.9000 100% | 24.5 MiB/s | 1.7 MiB | 00m00s [ 67/154] efi-srpm-macros-0:5-13.fc42.n 100% | 1.2 MiB/s | 22.5 KiB | 00m00s [ 68/154] dwz-0:0.15-8.fc42.ppc64le 100% | 7.4 MiB/s | 144.0 KiB | 00m00s [ 69/154] fonts-srpm-macros-1:2.0.5-17. 100% | 1.5 MiB/s | 27.0 KiB | 00m00s [ 70/154] forge-srpm-macros-0:0.4.0-1.f 100% | 1.2 MiB/s | 19.8 KiB | 00m00s [ 71/154] fpc-srpm-macros-0:1.3-13.fc41 100% | 497.6 KiB/s | 8.0 KiB | 00m00s [ 72/154] ghc-srpm-macros-0:1.9.2-1.fc4 100% | 569.8 KiB/s | 9.1 KiB | 00m00s [ 73/154] gnat-srpm-macros-0:6-6.fc41.n 100% | 447.6 KiB/s | 9.0 KiB | 00m00s [ 74/154] go-srpm-macros-0:3.6.0-3.fc41 100% | 1.3 MiB/s | 28.0 KiB | 00m00s [ 75/154] kernel-srpm-macros-0:1.0-24.f 100% | 548.2 KiB/s | 9.9 KiB | 00m00s [ 76/154] lua-srpm-macros-0:1-14.fc41.n 100% | 493.3 KiB/s | 8.9 KiB | 00m00s [ 77/154] ocaml-srpm-macros-0:10-3.fc41 100% | 484.2 KiB/s | 9.2 KiB | 00m00s [ 78/154] openblas-srpm-macros-0:2-18.f 100% | 453.8 KiB/s | 7.7 KiB | 00m00s [ 79/154] package-notes-srpm-macros-0:0 100% | 614.3 KiB/s | 9.8 KiB | 00m00s [ 80/154] perl-srpm-macros-0:1-56.fc41. 100% | 500.7 KiB/s | 8.5 KiB | 00m00s [ 81/154] pyproject-srpm-macros-0:1.16. 100% | 815.8 KiB/s | 13.9 KiB | 00m00s [ 82/154] python-srpm-macros-0:3.13-3.f 100% | 1.4 MiB/s | 23.7 KiB | 00m00s [ 83/154] qt5-srpm-macros-0:5.15.15-1.f 100% | 494.4 KiB/s | 8.9 KiB | 00m00s [ 84/154] qt6-srpm-macros-0:6.8.0-1.fc4 100% | 565.6 KiB/s | 9.0 KiB | 00m00s [ 85/154] rust-srpm-macros-0:26.3-3.fc4 100% | 711.7 KiB/s | 12.1 KiB | 00m00s [ 86/154] zig-srpm-macros-0:1-3.fc41.no 100% | 477.8 KiB/s | 8.1 KiB | 00m00s [ 87/154] zip-0:3.0-41.fc41.ppc64le 100% | 12.7 MiB/s | 274.1 KiB | 00m00s [ 88/154] pkgconf-0:2.3.0-1.fc42.ppc64l 100% | 2.6 MiB/s | 45.9 KiB | 00m00s [ 89/154] pkgconf-m4-0:2.3.0-1.fc42.noa 100% | 795.6 KiB/s | 14.3 KiB | 00m00s [ 90/154] libpkgconf-0:2.3.0-1.fc42.ppc 100% | 2.3 MiB/s | 42.9 KiB | 00m00s [ 91/154] ed-0:1.20.2-2.fc41.ppc64le 100% 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libsepol-0:3.7-3.fc42.ppc64le 100% | 10.1 MiB/s | 373.6 KiB | 00m00s [105/154] cracklib-0:2.9.11-6.fc41.ppc6 100% | 4.5 MiB/s | 83.7 KiB | 00m00s [106/154] libzstd-0:1.5.6-2.fc41.ppc64l 100% | 14.9 MiB/s | 336.8 KiB | 00m00s [107/154] lz4-libs-0:1.10.0-1.fc41.ppc6 100% | 4.0 MiB/s | 97.7 KiB | 00m00s [108/154] libxml2-0:2.12.8-2.fc41.ppc64 100% | 19.7 MiB/s | 767.3 KiB | 00m00s [109/154] libverto-0:0.3.2-9.fc41.ppc64 100% | 1.1 MiB/s | 22.2 KiB | 00m00s [110/154] keyutils-libs-0:1.6.3-4.fc41. 100% | 1.5 MiB/s | 32.8 KiB | 00m00s [111/154] glibc-common-0:2.40.9000-20.f 100% | 14.4 MiB/s | 414.0 KiB | 00m00s [112/154] basesystem-0:11-21.fc41.noarc 100% | 388.0 KiB/s | 7.4 KiB | 00m00s [113/154] filesystem-0:3.18-29.fc42.ppc 100% | 30.6 MiB/s | 1.1 MiB | 00m00s [114/154] gmp-1:6.3.0-2.fc41.ppc64le 100% | 13.7 MiB/s | 309.0 KiB | 00m00s [115/154] mpfr-0:4.2.1-5.fc41.ppc64le 100% | 11.9 MiB/s | 354.9 KiB | 00m00s [116/154] fedora-repos-0:42-0.3.noarch 100% | 483.8 KiB/s | 9.2 KiB | 00m00s 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KiB | 00m00s [130/154] libgomp-0:14.2.1-6.fc42.ppc64 100% | 12.0 MiB/s | 370.0 KiB | 00m00s [131/154] sqlite-libs-0:3.47.0-1.fc42.p 100% | 14.8 MiB/s | 816.2 KiB | 00m00s [132/154] pcre2-syntax-0:10.44-1.fc41.1 100% | 7.0 MiB/s | 149.9 KiB | 00m00s [133/154] libtasn1-0:4.19.0-9.fc41.ppc6 100% | 3.7 MiB/s | 79.3 KiB | 00m00s [134/154] fedora-gpg-keys-0:42-0.3.noar 100% | 6.3 MiB/s | 123.4 KiB | 00m00s [135/154] fedora-repos-rawhide-0:42-0.3 100% | 515.5 KiB/s | 8.8 KiB | 00m00s [136/154] elfutils-default-yama-scope-0 100% | 725.2 KiB/s | 12.3 KiB | 00m00s [137/154] json-c-0:0.18-1.fc42.ppc64le 100% | 2.8 MiB/s | 48.9 KiB | 00m00s [138/154] fedora-release-0:42-0.8.noarc 100% | 746.6 KiB/s | 12.7 KiB | 00m00s [139/154] xxhash-libs-0:0.8.2-4.fc42.pp 100% | 2.0 MiB/s | 37.2 KiB | 00m00s [140/154] fedora-release-identity-basic 100% | 749.8 KiB/s | 13.5 KiB | 00m00s [141/154] libbrotli-0:1.1.0-5.fc41.ppc6 100% | 16.2 MiB/s | 382.0 KiB | 00m00s [142/154] libcurl-0:8.10.1-2.fc42.ppc64 100% | 14.4 MiB/s | 411.7 KiB | 00m00s [143/154] libidn2-0:2.3.7-2.fc41.ppc64l 100% | 5.9 MiB/s | 115.1 KiB | 00m00s [144/154] libnghttp2-0:1.64.0-1.fc42.pp 100% | 4.7 MiB/s | 85.8 KiB | 00m00s [145/154] libpsl-0:0.21.5-4.fc41.ppc64l 100% | 3.8 MiB/s | 65.7 KiB | 00m00s [146/154] libssh-0:0.11.1-1.fc42.ppc64l 100% | 12.2 MiB/s | 263.2 KiB | 00m00s [147/154] openldap-0:2.6.8-5.fc41.ppc64 100% | 12.2 MiB/s | 288.1 KiB | 00m00s [148/154] cyrus-sasl-lib-0:2.1.28-27.fc 100% | 26.1 MiB/s | 883.1 KiB | 00m00s [149/154] libevent-0:2.1.12-14.fc41.ppc 100% | 10.3 MiB/s | 274.8 KiB | 00m00s [150/154] gdb-minimal-0:15.2-3.fc42.ppc 100% | 26.7 MiB/s | 4.5 MiB | 00m00s [151/154] libtool-ltdl-0:2.4.7-12.fc41. 100% | 1.0 MiB/s | 39.7 KiB | 00m00s [152/154] libssh-config-0:0.11.1-1.fc42 100% | 268.2 KiB/s | 9.4 KiB | 00m00s [153/154] publicsuffix-list-dafsa-0:202 100% | 3.2 MiB/s | 58.3 KiB | 00m00s [154/154] libunistring-0:1.1-8.fc41.ppc 100% | 20.8 MiB/s | 575.2 KiB | 00m00s -------------------------------------------------------------------------------- [154/154] Total 100% | 35.5 MiB/s | 56.3 MiB | 00m02s Running transaction [ 1/156] Verify package files 100% | 231.0 B/s | 154.0 B | 00m01s [ 2/156] Prepare transaction 100% | 1.2 KiB/s | 154.0 B | 00m00s [ 3/156] Installing libgcc-0:14.2.1-6. 100% | 93.7 MiB/s | 287.9 KiB | 00m00s [ 4/156] Installing publicsuffix-list- 100% | 66.7 MiB/s | 68.3 KiB | 00m00s [ 5/156] Installing libssh-config-0:0. 100% | 796.9 KiB/s | 816.0 B | 00m00s [ 6/156] Installing fedora-release-ide 100% | 953.1 KiB/s | 976.0 B | 00m00s [ 7/156] Installing fedora-gpg-keys-0: 100% | 14.0 MiB/s | 172.2 KiB | 00m00s [ 8/156] Installing fedora-repos-rawhi 100% | 0.0 B/s | 2.4 KiB | 00m00s [ 9/156] Installing fedora-repos-0:42- 100% | 5.6 MiB/s | 5.7 KiB | 00m00s [ 10/156] Installing fedora-release-com 100% | 11.7 MiB/s | 24.0 KiB | 00m00s [ 11/156] Installing fedora-release-0:4 100% | 0.0 B/s | 124.0 B | 00m00s [ 12/156] Installing setup-0:2.15.0-5.f 100% | 23.6 MiB/s | 726.1 KiB | 00m00s >>> [RPM] /etc/hosts created as /etc/hosts.rpmnew [ 13/156] Installing filesystem-0:3.18- 100% | 1.2 MiB/s | 212.6 KiB | 00m00s [ 14/156] Installing basesystem-0:11-21 100% | 0.0 B/s | 124.0 B | 00m00s [ 15/156] Installing pcre2-syntax-0:10. 100% | 62.0 MiB/s | 254.1 KiB | 00m00s [ 16/156] Installing coreutils-common-0 100% | 134.8 MiB/s | 11.2 MiB | 00m00s [ 17/156] Installing ncurses-base-0:6.5 100% | 22.9 MiB/s | 351.7 KiB | 00m00s [ 18/156] Installing glibc-minimal-lang 100% | 121.1 KiB/s | 124.0 B | 00m00s [ 19/156] Installing ncurses-libs-0:6.5 100% | 128.1 MiB/s | 2.4 MiB | 00m00s [ 20/156] Installing glibc-0:2.40.9000- 100% | 132.7 MiB/s | 11.7 MiB | 00m00s [ 21/156] Installing bash-0:5.2.37-1.fc 100% | 137.7 MiB/s | 8.7 MiB | 00m00s [ 22/156] Installing glibc-common-0:2.4 100% | 89.3 MiB/s | 1.5 MiB | 00m00s [ 23/156] Installing glibc-gconv-extra- 100% | 142.2 MiB/s | 18.6 MiB | 00m00s [ 24/156] Installing zlib-ng-compat-0:2 100% | 96.9 MiB/s | 198.5 KiB | 00m00s [ 25/156] Installing xz-libs-1:5.6.3-2. 100% | 128.6 MiB/s | 395.2 KiB | 00m00s [ 26/156] Installing bzip2-libs-0:1.0.8 100% | 98.5 MiB/s | 201.8 KiB | 00m00s [ 27/156] Installing libuuid-0:2.40.2-8 100% | 96.9 MiB/s | 198.5 KiB | 00m00s [ 28/156] Installing readline-0:8.2-11. 100% | 123.2 MiB/s | 883.1 KiB | 00m00s [ 29/156] Installing popt-0:1.19-7.fc41 100% | 39.0 MiB/s | 279.4 KiB | 00m00s [ 30/156] Installing libblkid-0:2.40.2- 100% | 118.1 MiB/s | 483.8 KiB | 00m00s [ 31/156] Installing libattr-0:2.5.2-4. 100% | 96.3 MiB/s | 197.2 KiB | 00m00s [ 32/156] Installing libacl-0:2.3.2-2.f 100% | 96.0 MiB/s | 196.6 KiB | 00m00s [ 33/156] Installing libxcrypt-0:4.4.36 100% | 82.6 MiB/s | 338.3 KiB | 00m00s [ 34/156] Installing libzstd-0:1.5.6-2. 100% | 120.8 MiB/s | 989.2 KiB | 00m00s [ 35/156] Installing elfutils-libelf-0: 100% | 125.2 MiB/s | 1.3 MiB | 00m00s [ 36/156] Installing gmp-1:6.3.0-2.fc41 100% | 118.9 MiB/s | 852.5 KiB | 00m00s [ 37/156] Installing libstdc++-0:14.2.1 100% | 145.1 MiB/s | 3.8 MiB | 00m00s [ 38/156] Installing libeconf-0:0.7.4-3 100% | 42.6 MiB/s | 87.2 KiB | 00m00s [ 39/156] Installing gdbm-libs-1:1.23-7 100% | 139.1 MiB/s | 427.2 KiB | 00m00s [ 40/156] Installing mpfr-0:4.2.1-5.fc4 100% | 106.2 MiB/s | 978.6 KiB | 00m00s [ 41/156] Installing gawk-0:5.3.0-4.fc4 100% | 150.4 MiB/s | 4.5 MiB | 00m00s [ 42/156] Installing dwz-0:0.15-8.fc42. 100% | 110.4 MiB/s | 452.1 KiB | 00m00s [ 43/156] Installing unzip-0:6.0-65.fc4 100% | 180.4 MiB/s | 2.3 MiB | 00m00s [ 44/156] Installing file-libs-0:5.45-8 100% | 199.2 MiB/s | 10.0 MiB | 00m00s [ 45/156] Installing file-0:5.45-8.fc42 100% | 19.7 MiB/s | 140.9 KiB | 00m00s [ 46/156] Installing crypto-policies-0: 100% | 11.4 MiB/s | 163.3 KiB | 00m00s [ 47/156] Installing libcap-ng-0:0.8.5- 100% | 136.2 MiB/s | 418.4 KiB | 00m00s [ 48/156] Installing audit-libs-0:4.0.2 100% | 110.2 MiB/s | 677.3 KiB | 00m00s [ 49/156] Installing pam-libs-0:1.7.0-3 100% | 70.6 MiB/s | 289.3 KiB | 00m00s [ 50/156] Installing libcap-0:2.71-1.fc 100% | 83.6 MiB/s | 513.6 KiB | 00m00s [ 51/156] Installing systemd-libs-0:257 100% | 132.4 MiB/s | 2.9 MiB | 00m00s [ 52/156] Installing libsmartcols-0:2.4 100% | 115.4 MiB/s | 354.6 KiB | 00m00s [ 53/156] Installing libcom_err-0:1.47. 100% | 117.3 MiB/s | 240.2 KiB | 00m00s [ 54/156] Installing libsepol-0:3.7-3.f 100% | 129.7 MiB/s | 1.2 MiB | 00m00s [ 55/156] Installing pcre2-0:10.44-1.fc 100% | 135.4 MiB/s | 970.3 KiB | 00m00s [ 56/156] Installing libselinux-0:3.7-6 100% | 80.6 MiB/s | 330.3 KiB | 00m00s [ 57/156] Installing sed-0:4.9-3.fc41.p 100% | 82.2 MiB/s | 1.0 MiB | 00m00s [ 58/156] Installing findutils-1:4.10.0 100% | 108.6 MiB/s | 2.2 MiB | 00m00s [ 59/156] Installing grep-0:3.11-9.fc41 100% | 77.3 MiB/s | 1.2 MiB | 00m00s [ 60/156] Installing xz-1:5.6.3-2.fc42. 100% | 83.9 MiB/s | 1.5 MiB | 00m00s [ 61/156] Installing libmount-0:2.40.2- 100% | 107.3 MiB/s | 549.1 KiB | 00m00s [ 62/156] Installing lz4-libs-0:1.10.0- 100% | 106.2 MiB/s | 326.3 KiB | 00m00s [ 63/156] Installing libffi-0:3.4.6-3.f 100% | 107.1 MiB/s | 219.4 KiB | 00m00s [ 64/156] Installing alternatives-0:1.3 100% | 107.3 MiB/s | 219.8 KiB | 00m00s [ 65/156] Installing lua-libs-0:5.4.7-1 100% | 127.5 MiB/s | 522.2 KiB | 00m00s [ 66/156] Installing libtasn1-0:4.19.0- 100% | 85.3 MiB/s | 349.2 KiB | 00m00s [ 67/156] Installing p11-kit-0:0.25.5-4 100% | 108.5 MiB/s | 3.1 MiB | 00m00s [ 68/156] Installing libunistring-0:1.1 100% | 133.7 MiB/s | 1.9 MiB | 00m00s [ 69/156] Installing libidn2-0:2.3.7-2. 100% | 56.5 MiB/s | 462.8 KiB | 00m00s [ 70/156] Installing libpsl-0:0.21.5-4. 100% | 96.4 MiB/s | 197.3 KiB | 00m00s [ 71/156] Installing p11-kit-trust-0:0. 100% | 58.3 MiB/s | 657.1 KiB | 00m00s [ 72/156] Installing openssl-libs-1:3.2 100% | 144.2 MiB/s | 8.7 MiB | 00m00s [ 73/156] Installing coreutils-0:9.5-11 100% | 128.2 MiB/s | 9.5 MiB | 00m00s [ 74/156] Installing ca-certificates-0: 100% | 1.0 MiB/s | 2.4 MiB | 00m02s [ 75/156] Installing gzip-0:1.13-2.fc41 100% | 77.9 MiB/s | 558.4 KiB | 00m00s [ 76/156] Installing authselect-libs-0: 100% | 61.6 MiB/s | 946.6 KiB | 00m00s [ 77/156] Installing cracklib-0:2.9.11- 100% | 71.0 MiB/s | 945.6 KiB | 00m00s [ 78/156] Installing libpwquality-0:1.4 100% | 73.8 MiB/s | 1.1 MiB | 00m00s [ 79/156] Installing rpm-sequoia-0:1.7. 100% | 136.5 MiB/s | 2.9 MiB | 00m00s [ 80/156] Installing libevent-0:2.1.12- 100% | 144.1 MiB/s | 1.6 MiB | 00m00s [ 81/156] Installing zstd-0:1.5.6-2.fc4 100% | 137.7 MiB/s | 2.1 MiB | 00m00s [ 82/156] Installing util-linux-core-0: 100% | 159.0 MiB/s | 6.2 MiB | 00m00s [ 83/156] Installing tar-2:1.35-4.fc41. 100% | 122.8 MiB/s | 3.2 MiB | 00m00s [ 84/156] Installing libsemanage-0:3.7- 100% | 80.0 MiB/s | 491.3 KiB | 00m00s [ 85/156] Installing shadow-utils-2:4.1 100% | 90.3 MiB/s | 5.5 MiB | 00m00s [ 86/156] Installing zip-0:3.0-41.fc41. 100% | 124.8 MiB/s | 1.2 MiB | 00m00s [ 87/156] Installing gdbm-1:1.23-7.fc41 100% | 101.3 MiB/s | 933.2 KiB | 00m00s [ 88/156] Installing cyrus-sasl-lib-0:2 100% | 147.7 MiB/s | 3.5 MiB | 00m00s [ 89/156] Installing libfdisk-0:2.40.2- 100% | 119.6 MiB/s | 612.2 KiB | 00m00s [ 90/156] Installing bzip2-0:1.0.8-19.f 100% | 84.4 MiB/s | 432.0 KiB | 00m00s [ 91/156] Installing libxml2-0:2.12.8-2 100% | 132.5 MiB/s | 2.5 MiB | 00m00s [ 92/156] Installing libarchive-0:3.7.7 100% | 115.3 MiB/s | 1.3 MiB | 00m00s [ 93/156] Installing add-determinism-0: 100% | 136.7 MiB/s | 2.6 MiB | 00m00s [ 94/156] Installing build-reproducibil 100% | 1.0 MiB/s | 1.0 KiB | 00m00s [ 95/156] Installing sqlite-libs-0:3.47 100% | 120.9 MiB/s | 1.8 MiB | 00m00s [ 96/156] Installing rpm-libs-0:4.20.0- 100% | 128.4 MiB/s | 1.2 MiB | 00m00s [ 97/156] Installing ed-0:1.20.2-2.fc41 100% | 92.8 MiB/s | 285.1 KiB | 00m00s [ 98/156] Installing patch-0:2.7.6-25.f 100% | 95.7 MiB/s | 392.1 KiB | 00m00s [ 99/156] Installing elfutils-default-y 100% | 408.6 KiB/s | 2.0 KiB | 00m00s [100/156] Installing elfutils-libs-0:0. 100% | 107.2 MiB/s | 877.9 KiB | 00m00s [101/156] Installing cpio-0:2.15-2.fc41 100% | 93.9 MiB/s | 1.2 MiB | 00m00s [102/156] Installing diffutils-0:3.10-8 100% | 114.3 MiB/s | 2.2 MiB | 00m00s [103/156] Installing librtas-0:2.0.6-2. 100% | 44.4 MiB/s | 499.7 KiB | 00m00s [104/156] Installing libpkgconf-0:2.3.0 100% | 97.2 MiB/s | 199.1 KiB | 00m00s [105/156] Installing pkgconf-0:2.3.0-1. 100% | 79.1 MiB/s | 243.0 KiB | 00m00s [106/156] Installing keyutils-libs-0:1. 100% | 111.1 MiB/s | 227.5 KiB | 00m00s [107/156] Installing libverto-0:0.3.2-9 100% | 64.8 MiB/s | 199.0 KiB | 00m00s [108/156] Installing krb5-libs-0:1.21.3 100% | 123.9 MiB/s | 3.0 MiB | 00m00s [109/156] Installing libtirpc-0:1.3.6-1 100% | 68.0 MiB/s | 278.5 KiB | 00m00s [110/156] Installing pam-0:1.7.0-3.fc42 100% | 91.4 MiB/s | 4.3 MiB | 00m00s [111/156] Installing libssh-0:0.11.1-1. 100% | 108.8 MiB/s | 779.8 KiB | 00m00s [112/156] Installing jansson-0:2.14-1.f 100% | 72.4 MiB/s | 222.5 KiB | 00m00s [113/156] Installing libgomp-0:14.2.1-6 100% | 123.6 MiB/s | 632.8 KiB | 00m00s [114/156] Installing rpm-build-libs-0:4 100% | 127.4 MiB/s | 391.4 KiB | 00m00s [115/156] Installing json-c-0:0.18-1.fc 100% | 68.5 MiB/s | 140.4 KiB | 00m00s [116/156] Installing xxhash-libs-0:0.8. 100% | 104.2 MiB/s | 213.3 KiB | 00m00s [117/156] Installing libbrotli-0:1.1.0- 100% | 126.5 MiB/s | 1.3 MiB | 00m00s [118/156] Installing libnghttp2-0:1.64. 100% | 106.5 MiB/s | 327.2 KiB | 00m00s [119/156] Installing libtool-ltdl-0:2.4 100% | 109.0 MiB/s | 223.2 KiB | 00m00s [120/156] Installing openldap-0:2.6.8-5 100% | 112.1 MiB/s | 1.1 MiB | 00m00s [121/156] Installing libcurl-0:8.10.1-2 100% | 121.1 MiB/s | 1.1 MiB | 00m00s [122/156] Installing elfutils-debuginfo 100% | 35.7 MiB/s | 146.3 KiB | 00m00s [123/156] Installing binutils-0:2.43.50 100% | 149.4 MiB/s | 31.1 MiB | 00m00s [124/156] Installing elfutils-0:0.192-6 100% | 138.4 MiB/s | 3.5 MiB | 00m00s [125/156] Installing gdb-minimal-0:15.2 100% | 147.8 MiB/s | 15.7 MiB | 00m00s [126/156] Installing debugedit-0:5.1-1. 100% | 75.9 MiB/s | 310.8 KiB | 00m00s [127/156] Installing curl-0:8.10.1-2.fc 100% | 38.0 MiB/s | 583.7 KiB | 00m00s [128/156] Installing rpm-0:4.20.0-1.fc4 100% | 74.6 MiB/s | 3.4 MiB | 00m00s [129/156] Installing efi-srpm-macros-0: 100% | 40.2 MiB/s | 41.2 KiB | 00m00s [130/156] Installing lua-srpm-macros-0: 100% | 1.9 MiB/s | 1.9 KiB | 00m00s [131/156] Installing zig-srpm-macros-0: 100% | 1.6 MiB/s | 1.7 KiB | 00m00s [132/156] Installing pkgconf-m4-0:2.3.0 100% | 14.5 MiB/s | 14.8 KiB | 00m00s [133/156] Installing pkgconf-pkg-config 100% | 1.7 MiB/s | 1.8 KiB | 00m00s [134/156] Installing rust-srpm-macros-0 100% | 5.4 MiB/s | 5.6 KiB | 00m00s [135/156] Installing qt6-srpm-macros-0: 100% | 714.8 KiB/s | 732.0 B | 00m00s [136/156] Installing qt5-srpm-macros-0: 100% | 757.8 KiB/s | 776.0 B | 00m00s [137/156] Installing perl-srpm-macros-0 100% | 1.1 MiB/s | 1.1 KiB | 00m00s [138/156] Installing package-notes-srpm 100% | 2.0 MiB/s | 2.0 KiB | 00m00s [139/156] Installing openblas-srpm-macr 100% | 382.8 KiB/s | 392.0 B | 00m00s [140/156] Installing ocaml-srpm-macros- 100% | 0.0 B/s | 2.2 KiB | 00m00s [141/156] Installing kernel-srpm-macros 100% | 2.3 MiB/s | 2.3 KiB | 00m00s [142/156] Installing gnat-srpm-macros-0 100% | 1.2 MiB/s | 1.3 KiB | 00m00s [143/156] Installing ghc-srpm-macros-0: 100% | 1.0 MiB/s | 1.0 KiB | 00m00s [144/156] Installing fpc-srpm-macros-0: 100% | 0.0 B/s | 420.0 B | 00m00s [145/156] Installing ansible-srpm-macro 100% | 35.4 MiB/s | 36.2 KiB | 00m00s [146/156] Installing fonts-srpm-macros- 100% | 27.8 MiB/s | 57.0 KiB | 00m00s [147/156] Installing forge-srpm-macros- 100% | 39.3 MiB/s | 40.3 KiB | 00m00s [148/156] Installing go-srpm-macros-0:3 100% | 30.3 MiB/s | 62.0 KiB | 00m00s [149/156] Installing python-srpm-macros 100% | 25.5 MiB/s | 52.2 KiB | 00m00s [150/156] Installing redhat-rpm-config- 100% | 31.5 MiB/s | 193.2 KiB | 00m00s [151/156] Installing rpm-build-0:4.20.0 100% | 116.4 MiB/s | 1.4 MiB | 00m00s [152/156] Installing pyproject-srpm-mac 100% | 833.3 KiB/s | 2.5 KiB | 00m00s [153/156] Installing util-linux-0:2.40. 100% | 147.5 MiB/s | 17.3 MiB | 00m00s [154/156] Installing authselect-0:1.5.0 100% | 51.1 MiB/s | 313.8 KiB | 00m00s [155/156] Installing which-0:2.21-42.fc 100% | 81.5 MiB/s | 250.2 KiB | 00m00s [156/156] Installing info-0:7.1.1-2.fc4 100% | 246.1 KiB/s | 741.9 KiB | 00m03s Warning: skipped PGP checks for 154 packages from repository: http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch Complete! Finish: installing minimal buildroot with dnf5 Start: creating root cache Finish: creating root cache Finish: chroot init INFO: Installed packages: INFO: add-determinism-0.4.3-1.fc42.ppc64le alternatives-1.30-1.fc41.ppc64le ansible-srpm-macros-1-16.fc41.noarch audit-libs-4.0.2-1.fc41.ppc64le authselect-1.5.0-8.fc42.ppc64le authselect-libs-1.5.0-8.fc42.ppc64le basesystem-11-21.fc41.noarch bash-5.2.37-1.fc42.ppc64le binutils-2.43.50-8.fc42.ppc64le build-reproducibility-srpm-macros-0.4.3-1.fc42.noarch bzip2-1.0.8-19.fc41.ppc64le bzip2-libs-1.0.8-19.fc41.ppc64le ca-certificates-2024.2.69_v8.0.401-2.fc42.noarch coreutils-9.5-11.fc42.ppc64le coreutils-common-9.5-11.fc42.ppc64le cpio-2.15-2.fc41.ppc64le cracklib-2.9.11-6.fc41.ppc64le crypto-policies-20241106-1.git35892de.fc42.noarch curl-8.10.1-2.fc42.ppc64le cyrus-sasl-lib-2.1.28-27.fc41.ppc64le debugedit-5.1-1.fc42.ppc64le diffutils-3.10-8.fc41.ppc64le dwz-0.15-8.fc42.ppc64le ed-1.20.2-2.fc41.ppc64le efi-srpm-macros-5-13.fc42.noarch elfutils-0.192-6.fc42.ppc64le elfutils-debuginfod-client-0.192-6.fc42.ppc64le elfutils-default-yama-scope-0.192-6.fc42.noarch elfutils-libelf-0.192-6.fc42.ppc64le elfutils-libs-0.192-6.fc42.ppc64le fedora-gpg-keys-42-0.3.noarch fedora-release-42-0.8.noarch fedora-release-common-42-0.8.noarch fedora-release-identity-basic-42-0.8.noarch fedora-repos-42-0.3.noarch fedora-repos-rawhide-42-0.3.noarch file-5.45-8.fc42.ppc64le file-libs-5.45-8.fc42.ppc64le filesystem-3.18-29.fc42.ppc64le findutils-4.10.0-4.fc41.ppc64le fonts-srpm-macros-2.0.5-17.fc41.noarch forge-srpm-macros-0.4.0-1.fc42.noarch fpc-srpm-macros-1.3-13.fc41.noarch gawk-5.3.0-4.fc41.ppc64le gdb-minimal-15.2-3.fc42.ppc64le gdbm-1.23-7.fc41.ppc64le gdbm-libs-1.23-7.fc41.ppc64le ghc-srpm-macros-1.9.2-1.fc42.noarch glibc-2.40.9000-20.fc42.ppc64le glibc-common-2.40.9000-20.fc42.ppc64le glibc-gconv-extra-2.40.9000-20.fc42.ppc64le glibc-minimal-langpack-2.40.9000-20.fc42.ppc64le gmp-6.3.0-2.fc41.ppc64le gnat-srpm-macros-6-6.fc41.noarch go-srpm-macros-3.6.0-3.fc41.noarch grep-3.11-9.fc41.ppc64le gzip-1.13-2.fc41.ppc64le info-7.1.1-2.fc42.ppc64le jansson-2.14-1.fc42.ppc64le json-c-0.18-1.fc42.ppc64le kernel-srpm-macros-1.0-24.fc41.noarch keyutils-libs-1.6.3-4.fc41.ppc64le krb5-libs-1.21.3-3.fc42.ppc64le libacl-2.3.2-2.fc41.ppc64le libarchive-3.7.7-1.fc42.ppc64le libattr-2.5.2-4.fc41.ppc64le libblkid-2.40.2-8.fc42.ppc64le libbrotli-1.1.0-5.fc41.ppc64le libcap-2.71-1.fc42.ppc64le libcap-ng-0.8.5-3.fc41.ppc64le libcom_err-1.47.1-6.fc42.ppc64le libcurl-8.10.1-2.fc42.ppc64le libeconf-0.7.4-3.fc42.ppc64le libevent-2.1.12-14.fc41.ppc64le libfdisk-2.40.2-8.fc42.ppc64le libffi-3.4.6-3.fc42.ppc64le libgcc-14.2.1-6.fc42.ppc64le libgomp-14.2.1-6.fc42.ppc64le libidn2-2.3.7-2.fc41.ppc64le libmount-2.40.2-8.fc42.ppc64le libnghttp2-1.64.0-1.fc42.ppc64le libpkgconf-2.3.0-1.fc42.ppc64le libpsl-0.21.5-4.fc41.ppc64le libpwquality-1.4.5-11.fc41.ppc64le librtas-2.0.6-2.fc41.ppc64le libselinux-3.7-6.fc42.ppc64le libsemanage-3.7-3.fc42.ppc64le libsepol-3.7-3.fc42.ppc64le libsmartcols-2.40.2-8.fc42.ppc64le libssh-0.11.1-1.fc42.ppc64le libssh-config-0.11.1-1.fc42.noarch libstdc++-14.2.1-6.fc42.ppc64le libtasn1-4.19.0-9.fc41.ppc64le libtirpc-1.3.6-1.fc42.ppc64le libtool-ltdl-2.4.7-12.fc41.ppc64le libunistring-1.1-8.fc41.ppc64le libuuid-2.40.2-8.fc42.ppc64le libverto-0.3.2-9.fc41.ppc64le libxcrypt-4.4.36-10.fc42.ppc64le libxml2-2.12.8-2.fc41.ppc64le libzstd-1.5.6-2.fc41.ppc64le lua-libs-5.4.7-1.fc42.ppc64le lua-srpm-macros-1-14.fc41.noarch lz4-libs-1.10.0-1.fc41.ppc64le mpfr-4.2.1-5.fc41.ppc64le ncurses-base-6.5-2.20240629.fc41.noarch ncurses-libs-6.5-2.20240629.fc41.ppc64le ocaml-srpm-macros-10-3.fc41.noarch openblas-srpm-macros-2-18.fc41.noarch openldap-2.6.8-5.fc41.ppc64le openssl-libs-3.2.2-8.fc42.ppc64le p11-kit-0.25.5-4.fc42.ppc64le p11-kit-trust-0.25.5-4.fc42.ppc64le package-notes-srpm-macros-0.5-12.fc41.noarch pam-1.7.0-3.fc42.ppc64le pam-libs-1.7.0-3.fc42.ppc64le patch-2.7.6-25.fc41.ppc64le pcre2-10.44-1.fc41.1.ppc64le pcre2-syntax-10.44-1.fc41.1.noarch perl-srpm-macros-1-56.fc41.noarch pkgconf-2.3.0-1.fc42.ppc64le pkgconf-m4-2.3.0-1.fc42.noarch pkgconf-pkg-config-2.3.0-1.fc42.ppc64le popt-1.19-7.fc41.ppc64le publicsuffix-list-dafsa-20240107-4.fc41.noarch pyproject-srpm-macros-1.16.2-1.fc42.noarch python-srpm-macros-3.13-3.fc41.noarch qt5-srpm-macros-5.15.15-1.fc42.noarch qt6-srpm-macros-6.8.0-1.fc42.noarch readline-8.2-11.fc42.ppc64le redhat-rpm-config-296-1.fc42.noarch rpm-4.20.0-1.fc42.ppc64le rpm-build-4.20.0-1.fc42.ppc64le rpm-build-libs-4.20.0-1.fc42.ppc64le rpm-libs-4.20.0-1.fc42.ppc64le rpm-sequoia-1.7.0-2.fc41.ppc64le rust-srpm-macros-26.3-3.fc42.noarch sed-4.9-3.fc41.ppc64le setup-2.15.0-5.fc41.noarch shadow-utils-4.16.0-7.fc42.ppc64le sqlite-libs-3.47.0-1.fc42.ppc64le systemd-libs-257~rc2-2.fc42.ppc64le tar-1.35-4.fc41.ppc64le unzip-6.0-65.fc42.ppc64le util-linux-2.40.2-8.fc42.ppc64le util-linux-core-2.40.2-8.fc42.ppc64le which-2.21-42.fc41.ppc64le xxhash-libs-0.8.2-4.fc42.ppc64le xz-5.6.3-2.fc42.ppc64le xz-libs-5.6.3-2.fc42.ppc64le zig-srpm-macros-1-3.fc41.noarch zip-3.0-41.fc41.ppc64le zlib-ng-compat-2.2.2-1.fc42.ppc64le zstd-1.5.6-2.fc41.ppc64le Start: buildsrpm Start: rpmbuild -bs Building target platforms: ppc64le Building for target ppc64le setting SOURCE_DATE_EPOCH=1731888000 Wrote: /builddir/build/SRPMS/python-scikit-learn-1.5.2-4.fc42.src.rpm Finish: rpmbuild -bs INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-rawhide-ppc64le-1732616421.678575/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-9u8ra5vj/python-scikit-learn/python-scikit-learn.spec) Config(child) 0 minutes 37 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-1.5.2-4.fc42.src.rpm) Config(fedora-rawhide-ppc64le) Start(bootstrap): chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-ppc64le-bootstrap-1732616421.678575/root. INFO: reusing tmpfs at /var/lib/mock/fedora-rawhide-ppc64le-bootstrap-1732616421.678575/root. INFO: calling preinit hooks INFO: enabled root cache INFO: enabled package manager cache Start(bootstrap): cleaning package manager metadata Finish(bootstrap): cleaning package manager metadata Finish(bootstrap): chroot init Start: chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-ppc64le-1732616421.678575/root. INFO: calling preinit hooks INFO: enabled root cache Start: unpacking root cache Finish: unpacking root cache INFO: enabled package manager cache Start: cleaning package manager metadata Finish: cleaning package manager metadata INFO: enabled HW Info plugin INFO: Buildroot is handled by package management downloaded with a bootstrap image: rpm-4.20.0-1.fc42.ppc64le rpm-sequoia-1.7.0-2.fc41.ppc64le dnf5-5.2.7.0-1.fc42.ppc64le dnf5-plugins-5.2.7.0-1.fc42.ppc64le Finish: chroot init Start: build phase for python-scikit-learn-1.5.2-4.fc42.src.rpm Start: build setup for python-scikit-learn-1.5.2-4.fc42.src.rpm Building target platforms: ppc64le Building for target ppc64le setting SOURCE_DATE_EPOCH=1731888000 Wrote: /builddir/build/SRPMS/python-scikit-learn-1.5.2-4.fc42.src.rpm Updating and loading repositories: Copr repository 100% | 23.4 KiB/s | 2.2 KiB | 00m00s fedora 100% | 96.3 KiB/s | 3.6 KiB | 00m00s Additional repo http_kojipkgs_fedorapr 100% | 21.2 KiB/s | 3.8 KiB | 00m00s Repositories loaded. Package Arch Version Repository Size Installing: gcc ppc64le 14.2.1-6.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 94.0 MiB gcc-c++ ppc64le 14.2.1-6.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 36.9 MiB python3-devel ppc64le 3.13.0-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.8 MiB python3-joblib noarch 1.4.2-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.2 MiB python3-pytest noarch 8.3.3-3.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 20.8 MiB python3-setuptools noarch 74.1.3-4.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 8.4 MiB python3-threadpoolctl noarch 3.5.0-4.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 136.8 KiB Installing dependencies: annobin-docs noarch 12.77-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 98.4 KiB annobin-plugin-gcc ppc64le 12.77-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.0 MiB cpp ppc64le 14.2.1-6.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 33.3 MiB expat ppc64le 2.6.4-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 349.2 KiB gcc-plugin-annobin ppc64le 14.2.1-6.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 73.3 KiB glibc-devel ppc64le 2.40.9000-20.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.6 MiB kernel-headers ppc64le 6.12.0-65.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 6.4 MiB libasan ppc64le 14.2.1-6.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.9 MiB libatomic ppc64le 14.2.1-6.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 68.2 KiB libb2 ppc64le 0.98.1-12.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 202.1 KiB libmpc ppc64le 1.3.1-6.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 345.6 KiB libstdc++-devel ppc64le 14.2.1-6.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 15.3 MiB libubsan ppc64le 14.2.1-6.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 604.4 KiB libxcrypt-devel ppc64le 4.4.36-10.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 30.5 KiB make ppc64le 1:4.4.1-9.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.0 MiB mpdecimal ppc64le 2.5.1-16.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 328.9 KiB pyproject-rpm-macros noarch 1.16.2-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 113.8 KiB python-pip-wheel noarch 24.3.1-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.2 MiB python-rpm-macros noarch 3.13-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 22.1 KiB python3 ppc64le 3.13.0-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 211.7 KiB python3-cloudpickle noarch 3.1.0-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 127.8 KiB python3-iniconfig noarch 1.1.1-23.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 20.6 KiB python3-libs ppc64le 3.13.0-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 50.7 MiB python3-packaging noarch 24.2-2.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 555.7 KiB python3-pluggy noarch 1.5.0-1.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 193.2 KiB python3-rpm-generators noarch 14-11.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 81.7 KiB python3-rpm-macros noarch 3.13-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 6.4 KiB tzdata noarch 2024a-9.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.7 MiB Transaction Summary: Installing: 35 packages Total size of inbound packages is 79 MiB. Need to download 79 MiB. After this operation, 283 MiB extra will be used (install 283 MiB, remove 0 B). [ 1/35] python3-devel-0:3.13.0-1.fc42.p 100% | 3.4 MiB/s | 357.1 KiB | 00m00s [ 2/35] python3-joblib-0:1.4.2-3.fc41.n 100% | 15.7 MiB/s | 529.1 KiB | 00m00s [ 3/35] python3-setuptools-0:74.1.3-4.f 100% | 25.9 MiB/s | 1.8 MiB | 00m00s [ 4/35] python3-threadpoolctl-0:3.5.0-4 100% | 2.0 MiB/s | 44.4 KiB | 00m00s [ 5/35] python3-pytest-0:8.3.3-3.fc42.n 100% | 31.5 MiB/s | 2.0 MiB | 00m00s [ 6/35] python3-0:3.13.0-1.fc42.ppc64le 100% | 1.3 MiB/s | 27.9 KiB | 00m00s [ 7/35] python3-iniconfig-0:1.1.1-23.fc 100% | 951.2 KiB/s | 18.1 KiB | 00m00s [ 8/35] gcc-c++-0:14.2.1-6.fc42.ppc64le 100% | 31.8 MiB/s | 12.7 MiB | 00m00s [ 9/35] python3-packaging-0:24.2-2.fc42 100% | 2.1 MiB/s | 143.6 KiB | 00m00s [10/35] python3-pluggy-0:1.5.0-1.fc41.n 100% | 2.9 MiB/s | 53.1 KiB | 00m00s [11/35] python3-cloudpickle-0:3.1.0-1.f 100% | 2.6 MiB/s | 47.2 KiB | 00m00s [12/35] libmpc-0:1.3.1-6.fc41.ppc64le 100% | 4.9 MiB/s | 95.8 KiB | 00m00s [13/35] libstdc++-devel-0:14.2.1-6.fc42 100% | 30.3 MiB/s | 2.6 MiB | 00m00s [14/35] python3-libs-0:3.13.0-1.fc42.pp 100% | 38.1 MiB/s | 8.8 MiB | 00m00s [15/35] gcc-0:14.2.1-6.fc42.ppc64le 100% | 41.0 MiB/s | 32.4 MiB | 00m01s [16/35] glibc-devel-0:2.40.9000-20.fc42 100% | 3.6 MiB/s | 568.9 KiB | 00m00s [17/35] libasan-0:14.2.1-6.fc42.ppc64le 100% | 18.1 MiB/s | 520.2 KiB | 00m00s [18/35] libatomic-0:14.2.1-6.fc42.ppc64 100% | 2.6 MiB/s | 44.7 KiB | 00m00s [19/35] libubsan-0:14.2.1-6.fc42.ppc64l 100% | 13.0 MiB/s | 266.2 KiB | 00m00s [20/35] make-1:4.4.1-9.fc42.ppc64le 100% | 20.7 MiB/s | 594.0 KiB | 00m00s [21/35] expat-0:2.6.4-1.fc42.ppc64le 100% | 6.2 MiB/s | 120.1 KiB | 00m00s [22/35] libb2-0:0.98.1-12.fc41.ppc64le 100% | 1.4 MiB/s | 25.3 KiB | 00m00s [23/35] mpdecimal-0:2.5.1-16.fc41.ppc64 100% | 5.6 MiB/s | 103.0 KiB | 00m00s [24/35] cpp-0:14.2.1-6.fc42.ppc64le 100% | 26.3 MiB/s | 10.5 MiB | 00m00s [25/35] tzdata-0:2024a-9.fc41.noarch 100% | 6.6 MiB/s | 430.6 KiB | 00m00s [26/35] python-pip-wheel-0:24.3.1-1.fc4 100% | 16.1 MiB/s | 1.2 MiB | 00m00s 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python-rpm-macros-0: 100% | 22.3 MiB/s | 22.8 KiB | 00m00s [ 4/37] Installing libmpc-0:1.3.1-6.fc4 100% | 113.0 MiB/s | 347.1 KiB | 00m00s [ 5/37] Installing python3-rpm-macros-0 100% | 6.5 MiB/s | 6.7 KiB | 00m00s [ 6/37] Installing pyproject-rpm-macros 100% | 56.5 MiB/s | 115.7 KiB | 00m00s [ 7/37] Installing cpp-0:14.2.1-6.fc42. 100% | 147.2 MiB/s | 33.3 MiB | 00m00s [ 8/37] Installing annobin-docs-0:12.77 100% | 24.3 MiB/s | 99.5 KiB | 00m00s [ 9/37] Installing kernel-headers-0:6.1 100% | 64.9 MiB/s | 6.6 MiB | 00m00s [10/37] Installing libxcrypt-devel-0:4. 100% | 8.0 MiB/s | 32.9 KiB | 00m00s [11/37] Installing glibc-devel-0:2.40.9 100% | 53.3 MiB/s | 2.7 MiB | 00m00s [12/37] Installing tzdata-0:2024a-9.fc4 100% | 18.0 MiB/s | 1.9 MiB | 00m00s [13/37] Installing python-pip-wheel-0:2 100% | 177.7 MiB/s | 1.2 MiB | 00m00s [14/37] Installing mpdecimal-0:2.5.1-16 100% | 107.4 MiB/s | 330.0 KiB | 00m00s [15/37] Installing libb2-0:0.98.1-12.fc 100% | 99.2 MiB/s | 203.2 KiB | 00m00s [16/37] Installing expat-0:2.6.4-1.fc42 100% | 34.3 MiB/s | 351.3 KiB | 00m00s [17/37] Installing python3-libs-0:3.13. 100% | 123.8 MiB/s | 51.0 MiB | 00m00s [18/37] Installing python3-0:3.13.0-1.f 100% | 69.5 MiB/s | 213.4 KiB | 00m00s [19/37] Installing python3-packaging-0: 100% | 69.3 MiB/s | 568.0 KiB | 00m00s [20/37] Installing python3-rpm-generato 100% | 40.5 MiB/s | 82.9 KiB | 00m00s [21/37] Installing python3-iniconfig-0: 100% | 11.5 MiB/s | 23.6 KiB | 00m00s [22/37] Installing python3-pluggy-0:1.5 100% | 48.7 MiB/s | 199.4 KiB | 00m00s [23/37] Installing python3-cloudpickle- 100% | 42.8 MiB/s | 131.5 KiB | 00m00s [24/37] Installing make-1:4.4.1-9.fc42. 100% | 109.8 MiB/s | 2.0 MiB | 00m00s [25/37] Installing libubsan-0:14.2.1-6. 100% | 118.2 MiB/s | 605.3 KiB | 00m00s [26/37] Installing libatomic-0:14.2.1-6 100% | 67.3 MiB/s | 68.9 KiB | 00m00s [27/37] Installing libasan-0:14.2.1-6.f 100% | 127.7 MiB/s | 1.9 MiB | 00m00s [28/37] Installing gcc-0:14.2.1-6.fc42. 100% | 149.7 MiB/s | 94.0 MiB | 00m01s [29/37] Installing libstdc++-devel-0:14 100% | 114.5 MiB/s | 15.5 MiB | 00m00s [30/37] Installing gcc-c++-0:14.2.1-6.f 100% | 148.4 MiB/s | 36.9 MiB | 00m00s [31/37] Installing annobin-plugin-gcc-0 100% | 46.7 MiB/s | 1.0 MiB | 00m00s [32/37] Installing gcc-plugin-annobin-0 100% | 3.5 MiB/s | 74.8 KiB | 00m00s [33/37] Installing python3-joblib-0:1.4 100% | 67.5 MiB/s | 2.2 MiB | 00m00s [34/37] Installing python3-pytest-0:8.3 100% | 131.8 MiB/s | 21.0 MiB | 00m00s [35/37] Installing python3-devel-0:3.13 100% | 56.7 MiB/s | 1.8 MiB | 00m00s [36/37] Installing python3-setuptools-0 100% | 73.8 MiB/s | 8.6 MiB | 00m00s [37/37] Installing python3-threadpoolct 100% | 631.1 KiB/s | 138.9 KiB | 00m00s Warning: skipped PGP checks for 35 packages from repository: http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch Complete! Finish: build setup for python-scikit-learn-1.5.2-4.fc42.src.rpm Start: rpmbuild python-scikit-learn-1.5.2-4.fc42.src.rpm Building target platforms: ppc64le Building for target ppc64le setting SOURCE_DATE_EPOCH=1731888000 Executing(%mkbuilddir): /bin/sh -e /var/tmp/rpm-tmp.GINTjq + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build + test -d /builddir/build/BUILD/python-scikit-learn-1.5.2-build + /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w /builddir/build/BUILD/python-scikit-learn-1.5.2-build + /usr/bin/rm -rf /builddir/build/BUILD/python-scikit-learn-1.5.2-build + /usr/bin/mkdir -p /builddir/build/BUILD/python-scikit-learn-1.5.2-build + /usr/bin/mkdir -p /builddir/build/BUILD/python-scikit-learn-1.5.2-build/SPECPARTS + RPM_EC=0 ++ jobs -p + exit 0 Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.vE9jL2 + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build + cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build + rm -rf scikit_learn-1.5.2 + /usr/lib/rpm/rpmuncompress -x /builddir/build/SOURCES/scikit_learn-1.5.2.tar.gz + STATUS=0 + '[' 0 -ne 0 ']' + cd scikit_learn-1.5.2 + /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w . + sed -i -e 's|numpy>=2|numpy|' pyproject.toml + find sklearn/metrics/_dist_metrics.pyx.tp -type f + xargs sed -i 's/cdef inline {{INPUT_DTYPE_t}} rdist/cdef {{INPUT_DTYPE_t}} rdist/g' + RPM_EC=0 ++ jobs -p + exit 0 Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.QqWiYP + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build + cd scikit_learn-1.5.2 + 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-1.5.2-build/scikit_learn-1.5.2/.pyproject-builddir + echo -n + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection ' + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection ' + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + VALAFLAGS=-g + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + LT_SYS_LIBRARY_PATH=/usr/lib64: + CC=gcc + CXX=g++ + TMPDIR=/builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.pyproject-builddir + RPM_TOXENV=py313 + HOSTNAME=rpmbuild + /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/pyproject-wheeldir --output /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-4.fc42.ppc64le-pyproject-buildrequires -p Handling meson-python>=0.16.0 from build-system.requires Requirement not satisfied: meson-python>=0.16.0 Handling Cython>=3.0.10 from build-system.requires Requirement not satisfied: Cython>=3.0.10 Handling numpy from build-system.requires Requirement not satisfied: numpy Handling scipy>=1.6.0 from build-system.requires Requirement not satisfied: scipy>=1.6.0 Exiting dependency generation pass: build backend + cat /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-4.fc42.ppc64le-pyproject-buildrequires + rm -rfv '*.dist-info/' + RPM_EC=0 ++ jobs -p + exit 0 Wrote: /builddir/build/SRPMS/python-scikit-learn-1.5.2-4.fc42.buildreqs.nosrc.rpm INFO: Going to install missing dynamic buildrequires Updating and loading repositories: Copr repository 100% | 10.8 KiB/s | 2.2 KiB | 00m00s Additional repo http_kojipkgs_fedorapr 100% | 72.3 KiB/s | 3.8 KiB | 00m00s fedora 100% | 132.0 KiB/s | 3.6 KiB | 00m00s Repositories loaded. Package "gcc-14.2.1-6.fc42.ppc64le" is already installed. Package "gcc-c++-14.2.1-6.fc42.ppc64le" is already installed. Package "pyproject-rpm-macros-1.16.2-1.fc42.noarch" is already installed. Package "python3-devel-3.13.0-1.fc42.ppc64le" is already installed. Package "python3-joblib-1.4.2-3.fc41.noarch" is already installed. Package "python3-packaging-24.2-2.fc42.noarch" is already installed. Package "python3-pytest-8.3.3-3.fc42.noarch" is already installed. Package "python3-setuptools-74.1.3-4.fc42.noarch" is already installed. Package "python3-threadpoolctl-3.5.0-4.fc41.noarch" is already installed. Package Arch Version Repository Size Installing: python3-cython ppc64le 3.0.11-1.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 20.4 MiB python3-meson-python noarch 0.17.1-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 277.7 KiB python3-numpy ppc64le 1:1.26.4-8.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 43.9 MiB python3-pip noarch 24.3.1-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 11.3 MiB python3-scipy ppc64le 1.14.1-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 76.4 MiB Installing dependencies: emacs-filesystem noarch 1:30.0-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 0.0 B flexiblas ppc64le 3.4.4-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 48.5 KiB flexiblas-netlib ppc64le 3.4.4-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 12.8 MiB flexiblas-openblas-openmp ppc64le 3.4.4-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 195.0 KiB libgfortran ppc64le 14.2.1-6.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.4 MiB libquadmath ppc64le 14.2.1-6.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 426.5 KiB meson noarch 1.5.1-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 11.4 MiB ninja-build ppc64le 1.12.1-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 523.7 KiB openblas ppc64le 0.3.28-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 106.6 KiB openblas-openmp ppc64le 0.3.28-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 23.6 MiB patchelf ppc64le 0.18.0-5.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 435.0 KiB python3-charset-normalizer noarch 3.4.0-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 319.9 KiB python3-idna noarch 3.10-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 628.0 KiB python3-numpy-f2py ppc64le 1:1.26.4-8.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.8 MiB python3-platformdirs noarch 4.2.2-2.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 168.6 KiB python3-pooch noarch 1.8.2-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 625.5 KiB python3-pyproject-metadata noarch 0.8.0-4.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 92.0 KiB python3-requests noarch 2.32.3-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 485.9 KiB python3-urllib3 noarch 2.2.3-3.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.0 MiB vim-filesystem noarch 2:9.1.866-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 40.0 B Transaction Summary: Installing: 25 packages Total size of inbound packages is 43 MiB. Need to download 43 MiB. After this operation, 210 MiB extra will be used (install 210 MiB, remove 0 B). [ 1/25] python3-meson-python-0:0.17.1-1 100% | 966.6 KiB/s | 81.2 KiB | 00m00s [ 2/25] python3-pip-0:24.3.1-1.fc42.noa 100% | 29.9 MiB/s | 2.5 MiB | 00m00s [ 3/25] python3-cython-0:3.0.11-1.fc41. 100% | 20.4 MiB/s | 3.8 MiB | 00m00s [ 4/25] flexiblas-netlib-0:3.4.4-3.fc41 100% | 44.0 MiB/s | 2.9 MiB | 00m00s [ 5/25] libgfortran-0:14.2.1-6.fc42.ppc 100% | 21.4 MiB/s | 635.1 KiB | 00m00s [ 6/25] python3-numpy-1:1.26.4-8.fc41.p 100% | 21.1 MiB/s | 7.0 MiB | 00m00s [ 7/25] python3-numpy-f2py-1:1.26.4-8.f 100% | 9.4 MiB/s | 501.1 KiB | 00m00s [ 8/25] python3-pooch-0:1.8.2-3.fc41.no 100% | 6.2 MiB/s | 126.4 KiB | 00m00s [ 9/25] python3-platformdirs-0:4.2.2-2. 100% | 2.4 MiB/s | 41.0 KiB | 00m00s [10/25] python3-requests-0:2.32.3-3.fc4 100% | 7.7 MiB/s | 149.0 KiB | 00m00s [11/25] meson-0:1.5.1-1.fc42.noarch 100% | 43.5 MiB/s | 2.0 MiB | 00m00s [12/25] patchelf-0:0.18.0-5.fc41.ppc64l 100% | 4.4 MiB/s | 131.5 KiB | 00m00s [13/25] python3-scipy-0:1.14.1-1.fc42.p 100% | 53.6 MiB/s | 17.3 MiB | 00m00s [14/25] python3-pyproject-metadata-0:0. 100% | 351.3 KiB/s | 31.3 KiB | 00m00s [15/25] ninja-build-0:1.12.1-3.fc41.ppc 100% | 2.0 MiB/s | 186.0 KiB | 00m00s [16/25] flexiblas-0:3.4.4-3.fc41.ppc64l 100% | 1.4 MiB/s | 25.2 KiB | 00m00s [17/25] flexiblas-openblas-openmp-0:3.4 100% | 981.3 KiB/s | 16.7 KiB | 00m00s [18/25] libquadmath-0:14.2.1-6.fc42.ppc 100% | 11.4 MiB/s | 221.9 KiB | 00m00s [19/25] python3-charset-normalizer-0:3. 100% | 5.5 MiB/s | 101.4 KiB | 00m00s [20/25] python3-idna-0:3.10-1.fc42.noar 100% | 6.1 MiB/s | 111.7 KiB | 00m00s [21/25] python3-urllib3-0:2.2.3-3.fc42. 100% | 13.3 MiB/s | 259.0 KiB | 00m00s [22/25] emacs-filesystem-1:30.0-3.fc41. 100% | 420.1 KiB/s | 7.1 KiB | 00m00s [23/25] vim-filesystem-2:9.1.866-1.fc42 100% | 1.0 MiB/s | 16.4 KiB | 00m00s [24/25] openblas-0:0.3.28-1.fc42.ppc64l 100% | 2.3 MiB/s | 40.9 KiB | 00m00s [25/25] openblas-openmp-0:0.3.28-1.fc42 100% | 52.2 MiB/s | 4.7 MiB | 00m00s -------------------------------------------------------------------------------- [25/25] Total 100% | 68.4 MiB/s | 43.0 MiB | 00m01s Running transaction [ 1/27] Verify package files 100% | 51.0 B/s | 25.0 B | 00m00s [ 2/27] Prepare transaction 100% | 174.0 B/s | 25.0 B | 00m00s [ 3/27] Installing libgfortran-0:14.2.1 100% | 141.2 MiB/s | 2.4 MiB | 00m00s [ 4/27] Installing python3-idna-0:3.10- 100% | 88.5 MiB/s | 634.3 KiB | 00m00s [ 5/27] Installing python3-urllib3-0:2. 100% | 66.8 MiB/s | 1.0 MiB | 00m00s [ 6/27] Installing openblas-0:0.3.28-1. 100% | 52.9 MiB/s | 108.3 KiB | 00m00s [ 7/27] Installing openblas-openmp-0:0. 100% | 153.4 MiB/s | 23.6 MiB | 00m00s [ 8/27] Installing vim-filesystem-2:9.1 100% | 2.3 MiB/s | 4.7 KiB | 00m00s [ 9/27] Installing emacs-filesystem-1:3 100% | 531.2 KiB/s | 544.0 B | 00m00s [10/27] Installing ninja-build-0:1.12.1 100% | 64.3 MiB/s | 526.9 KiB | 00m00s [11/27] Installing meson-0:1.5.1-1.fc42 100% | 103.8 MiB/s | 11.5 MiB | 00m00s [12/27] Installing python3-charset-norm 100% | 53.7 MiB/s | 329.8 KiB | 00m00s [13/27] Installing python3-requests-0:2 100% | 60.8 MiB/s | 498.0 KiB | 00m00s [14/27] Installing libquadmath-0:14.2.1 100% | 104.4 MiB/s | 427.8 KiB | 00m00s [15/27] Installing flexiblas-0:3.4.4-3. 100% | 48.5 MiB/s | 49.7 KiB | 00m00s [16/27] Installing flexiblas-openblas-o 100% | 95.6 MiB/s | 195.8 KiB | 00m00s [17/27] Installing flexiblas-netlib-0:3 100% | 145.9 MiB/s | 12.8 MiB | 00m00s [18/27] Installing python3-numpy-1:1.26 100% | 127.4 MiB/s | 44.2 MiB | 00m00s [19/27] Installing python3-numpy-f2py-1 100% | 70.9 MiB/s | 2.8 MiB | 00m00s [20/27] Installing python3-pyproject-me 100% | 30.9 MiB/s | 95.0 KiB | 00m00s [21/27] Installing patchelf-0:0.18.0-5. 100% | 85.3 MiB/s | 436.8 KiB | 00m00s [22/27] Installing python3-platformdirs 100% | 42.7 MiB/s | 175.0 KiB | 00m00s [23/27] Installing python3-pooch-0:1.8. 100% | 39.1 MiB/s | 640.5 KiB | 00m00s [24/27] Installing python3-scipy-0:1.14 100% | 132.8 MiB/s | 76.8 MiB | 00m01s [25/27] Installing python3-meson-python 100% | 30.8 MiB/s | 283.7 KiB | 00m00s [26/27] Installing python3-pip-0:24.3.1 100% | 70.4 MiB/s | 11.6 MiB | 00m00s [27/27] Installing python3-cython-0:3.0 100% | 81.6 MiB/s | 20.6 MiB | 00m00s Warning: skipped PGP checks for 25 packages from repository: http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch Complete! Building target platforms: ppc64le Building for target ppc64le setting SOURCE_DATE_EPOCH=1731888000 Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.Aurxn4 + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build + cd scikit_learn-1.5.2 + 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-1.5.2-build/scikit_learn-1.5.2/.pyproject-builddir + echo -n + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection ' + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection ' + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + VALAFLAGS=-g + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + LT_SYS_LIBRARY_PATH=/usr/lib64: + CC=gcc + CXX=g++ + TMPDIR=/builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.pyproject-builddir + RPM_TOXENV=py313 + HOSTNAME=rpmbuild + /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/pyproject-wheeldir --output /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-4.fc42.ppc64le-pyproject-buildrequires -p Handling meson-python>=0.16.0 from build-system.requires Requirement satisfied: meson-python>=0.16.0 (installed: meson-python 0.17.1) Handling Cython>=3.0.10 from build-system.requires Requirement satisfied: Cython>=3.0.10 (installed: Cython 3.0.11) Handling numpy from build-system.requires Requirement satisfied: numpy (installed: numpy 1.26.4) Handling scipy>=1.6.0 from build-system.requires Requirement satisfied: scipy>=1.6.0 (installed: scipy 1.14.1) Handling numpy>=1.19.5 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: numpy>=1.19.5 (installed: numpy 1.26.4) Handling scipy>=1.6.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: scipy>=1.6.0 (installed: scipy 1.14.1) Handling joblib>=1.2.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: joblib>=1.2.0 (installed: joblib 1.4.2) Handling threadpoolctl>=3.1.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: threadpoolctl>=3.1.0 (installed: threadpoolctl 3.5.0) Handling numpy>=1.19.5 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn) Ignoring alien requirement: numpy>=1.19.5 Handling scipy>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn) Ignoring alien requirement: scipy>=1.6.0 Handling cython>=3.0.10 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn) Ignoring alien requirement: cython>=3.0.10 Handling meson-python>=0.16.0 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn) Ignoring alien requirement: meson-python>=0.16.0 Handling numpy>=1.19.5 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn) Ignoring alien requirement: numpy>=1.19.5 Handling scipy>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn) Ignoring alien requirement: scipy>=1.6.0 Handling joblib>=1.2.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn) Ignoring alien requirement: joblib>=1.2.0 Handling threadpoolctl>=3.1.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn) Ignoring alien requirement: threadpoolctl>=3.1.0 Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn) Ignoring alien requirement: matplotlib>=3.3.4 Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn) Ignoring alien requirement: pandas>=1.1.5 Handling memory_profiler>=0.57.0 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn) Ignoring alien requirement: memory_profiler>=0.57.0 Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: matplotlib>=3.3.4 Handling scikit-image>=0.17.2 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: scikit-image>=0.17.2 Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: pandas>=1.1.5 Handling seaborn>=0.9.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: seaborn>=0.9.0 Handling memory_profiler>=0.57.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: memory_profiler>=0.57.0 Handling sphinx>=7.3.7 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: sphinx>=7.3.7 Handling sphinx-copybutton>=0.5.2 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: sphinx-copybutton>=0.5.2 Handling sphinx-gallery>=0.16.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: sphinx-gallery>=0.16.0 Handling numpydoc>=1.2.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: numpydoc>=1.2.0 Handling Pillow>=7.1.2 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: Pillow>=7.1.2 Handling pooch>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: pooch>=1.6.0 Handling sphinx-prompt>=1.4.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: sphinx-prompt>=1.4.0 Handling sphinxext-opengraph>=0.9.1 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: sphinxext-opengraph>=0.9.1 Handling plotly>=5.14.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: plotly>=5.14.0 Handling polars>=0.20.30 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: polars>=0.20.30 Handling sphinx-design>=0.5.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: sphinx-design>=0.5.0 Handling sphinx-design>=0.6.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: sphinx-design>=0.6.0 Handling sphinxcontrib-sass>=0.3.4 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: sphinxcontrib-sass>=0.3.4 Handling pydata-sphinx-theme>=0.15.3 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: pydata-sphinx-theme>=0.15.3 Handling sphinx-remove-toctrees>=1.0.0.post1 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: sphinx-remove-toctrees>=1.0.0.post1 Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: matplotlib>=3.3.4 Handling scikit-image>=0.17.2 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: scikit-image>=0.17.2 Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: pandas>=1.1.5 Handling seaborn>=0.9.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: seaborn>=0.9.0 Handling pooch>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: pooch>=1.6.0 Handling plotly>=5.14.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: plotly>=5.14.0 Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: matplotlib>=3.3.4 Handling scikit-image>=0.17.2 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: scikit-image>=0.17.2 Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: pandas>=1.1.5 Handling pytest>=7.1.2 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: pytest>=7.1.2 Handling pytest-cov>=2.9.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: pytest-cov>=2.9.0 Handling ruff>=0.2.1 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: ruff>=0.2.1 Handling black>=24.3.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: black>=24.3.0 Handling mypy>=1.9 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: mypy>=1.9 Handling pyamg>=4.0.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: pyamg>=4.0.0 Handling polars>=0.20.30 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: polars>=0.20.30 Handling pyarrow>=12.0.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: pyarrow>=12.0.0 Handling numpydoc>=1.2.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: numpydoc>=1.2.0 Handling pooch>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: pooch>=1.6.0 Handling conda-lock==2.5.6 from pyproject.toml generated metadata: [optional-dependencies] maintenance (scikit-learn) Ignoring alien requirement: conda-lock==2.5.6 + cat /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-4.fc42.ppc64le-pyproject-buildrequires + rm -rfv '*.dist-info/' + RPM_EC=0 ++ jobs -p + exit 0 Wrote: /builddir/build/SRPMS/python-scikit-learn-1.5.2-4.fc42.buildreqs.nosrc.rpm INFO: Going to install missing dynamic buildrequires Updating and loading repositories: fedora 100% | 115.0 KiB/s | 3.6 KiB | 00m00s Copr repository 100% | 33.6 KiB/s | 2.2 KiB | 00m00s Additional repo http_kojipkgs_fedorapr 100% | 57.2 KiB/s | 3.8 KiB | 00m00s Repositories loaded. Package "gcc-14.2.1-6.fc42.ppc64le" is already installed. Package "gcc-c++-14.2.1-6.fc42.ppc64le" is already installed. Package "pyproject-rpm-macros-1.16.2-1.fc42.noarch" is already installed. Package "python3-devel-3.13.0-1.fc42.ppc64le" is already installed. Package "python3-cython-3.0.11-1.fc41.ppc64le" is already installed. Package "python3-joblib-1.4.2-3.fc41.noarch" is already installed. Package "python3-joblib-1.4.2-3.fc41.noarch" is already installed. Package "python3-meson-python-0.17.1-1.fc42.noarch" is already installed. Package "python3-numpy-1:1.26.4-8.fc41.ppc64le" is already installed. Package "python3-numpy-1:1.26.4-8.fc41.ppc64le" is already installed. Package "python3-packaging-24.2-2.fc42.noarch" is already installed. Package "python3-pip-24.3.1-1.fc42.noarch" is already installed. Package "python3-pytest-8.3.3-3.fc42.noarch" is already installed. Package "python3-scipy-1.14.1-1.fc42.ppc64le" is already installed. Package "python3-setuptools-74.1.3-4.fc42.noarch" is already installed. Package "python3-threadpoolctl-3.5.0-4.fc41.noarch" is already installed. Package "python3-threadpoolctl-3.5.0-4.fc41.noarch" is already installed. Nothing to do. Building target platforms: ppc64le Building for target ppc64le setting SOURCE_DATE_EPOCH=1731888000 Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.tIa5Ab + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build + cd scikit_learn-1.5.2 + 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-1.5.2-build/scikit_learn-1.5.2/.pyproject-builddir + echo -n + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection ' + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection ' + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + VALAFLAGS=-g + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + LT_SYS_LIBRARY_PATH=/usr/lib64: + CC=gcc + CXX=g++ + TMPDIR=/builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.pyproject-builddir + RPM_TOXENV=py313 + HOSTNAME=rpmbuild + /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/pyproject-wheeldir --output /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-4.fc42.ppc64le-pyproject-buildrequires -p Handling meson-python>=0.16.0 from build-system.requires Requirement satisfied: meson-python>=0.16.0 (installed: meson-python 0.17.1) Handling Cython>=3.0.10 from build-system.requires Requirement satisfied: Cython>=3.0.10 (installed: Cython 3.0.11) Handling numpy from build-system.requires Requirement satisfied: numpy (installed: numpy 1.26.4) Handling scipy>=1.6.0 from build-system.requires Requirement satisfied: scipy>=1.6.0 (installed: scipy 1.14.1) Handling numpy>=1.19.5 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: numpy>=1.19.5 (installed: numpy 1.26.4) Handling scipy>=1.6.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: scipy>=1.6.0 (installed: scipy 1.14.1) Handling joblib>=1.2.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: joblib>=1.2.0 (installed: joblib 1.4.2) Handling threadpoolctl>=3.1.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: threadpoolctl>=3.1.0 (installed: threadpoolctl 3.5.0) Handling numpy>=1.19.5 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn) Ignoring alien requirement: numpy>=1.19.5 Handling scipy>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn) Ignoring alien requirement: scipy>=1.6.0 Handling cython>=3.0.10 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn) Ignoring alien requirement: cython>=3.0.10 Handling meson-python>=0.16.0 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn) Ignoring alien requirement: meson-python>=0.16.0 Handling numpy>=1.19.5 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn) Ignoring alien requirement: numpy>=1.19.5 Handling scipy>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn) Ignoring alien requirement: scipy>=1.6.0 Handling joblib>=1.2.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn) Ignoring alien requirement: joblib>=1.2.0 Handling threadpoolctl>=3.1.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn) Ignoring alien requirement: threadpoolctl>=3.1.0 Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn) Ignoring alien requirement: matplotlib>=3.3.4 Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn) Ignoring alien requirement: pandas>=1.1.5 Handling memory_profiler>=0.57.0 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn) Ignoring alien requirement: memory_profiler>=0.57.0 Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: matplotlib>=3.3.4 Handling scikit-image>=0.17.2 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: scikit-image>=0.17.2 Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: pandas>=1.1.5 Handling seaborn>=0.9.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: seaborn>=0.9.0 Handling memory_profiler>=0.57.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: memory_profiler>=0.57.0 Handling sphinx>=7.3.7 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: sphinx>=7.3.7 Handling sphinx-copybutton>=0.5.2 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: sphinx-copybutton>=0.5.2 Handling sphinx-gallery>=0.16.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: sphinx-gallery>=0.16.0 Handling numpydoc>=1.2.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: numpydoc>=1.2.0 Handling Pillow>=7.1.2 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: Pillow>=7.1.2 Handling pooch>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: pooch>=1.6.0 Handling sphinx-prompt>=1.4.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: sphinx-prompt>=1.4.0 Handling sphinxext-opengraph>=0.9.1 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: sphinxext-opengraph>=0.9.1 Handling plotly>=5.14.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: plotly>=5.14.0 Handling polars>=0.20.30 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: polars>=0.20.30 Handling sphinx-design>=0.5.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: sphinx-design>=0.5.0 Handling sphinx-design>=0.6.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: sphinx-design>=0.6.0 Handling sphinxcontrib-sass>=0.3.4 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: sphinxcontrib-sass>=0.3.4 Handling pydata-sphinx-theme>=0.15.3 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: pydata-sphinx-theme>=0.15.3 Handling sphinx-remove-toctrees>=1.0.0.post1 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: sphinx-remove-toctrees>=1.0.0.post1 Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: matplotlib>=3.3.4 Handling scikit-image>=0.17.2 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: scikit-image>=0.17.2 Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: pandas>=1.1.5 Handling seaborn>=0.9.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: seaborn>=0.9.0 Handling pooch>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: pooch>=1.6.0 Handling plotly>=5.14.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: plotly>=5.14.0 Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: matplotlib>=3.3.4 Handling scikit-image>=0.17.2 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: scikit-image>=0.17.2 Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: pandas>=1.1.5 Handling pytest>=7.1.2 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: pytest>=7.1.2 Handling pytest-cov>=2.9.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: pytest-cov>=2.9.0 Handling ruff>=0.2.1 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: ruff>=0.2.1 Handling black>=24.3.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: black>=24.3.0 Handling mypy>=1.9 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: mypy>=1.9 Handling pyamg>=4.0.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: pyamg>=4.0.0 Handling polars>=0.20.30 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: polars>=0.20.30 Handling pyarrow>=12.0.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: pyarrow>=12.0.0 Handling numpydoc>=1.2.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: numpydoc>=1.2.0 Handling pooch>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: pooch>=1.6.0 Handling conda-lock==2.5.6 from pyproject.toml generated metadata: [optional-dependencies] maintenance (scikit-learn) Ignoring alien requirement: conda-lock==2.5.6 + cat /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-4.fc42.ppc64le-pyproject-buildrequires + rm -rfv '*.dist-info/' + RPM_EC=0 ++ jobs -p + exit 0 Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.QvIuDR + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + cd scikit_learn-1.5.2 + mkdir -p /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.pyproject-builddir + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection ' + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection ' + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + VALAFLAGS=-g + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + LT_SYS_LIBRARY_PATH=/usr/lib64: + CC=gcc + CXX=g++ + TMPDIR=/builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.pyproject-builddir + /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_wheel.py /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/pyproject-wheeldir Processing /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2 Preparing metadata (pyproject.toml): started Running command Preparing metadata (pyproject.toml) + meson setup /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2 /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.mesonpy-1qlj0y2v -Dbuildtype=release -Db_ndebug=if-release -Db_vscrt=md --native-file=/builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.mesonpy-1qlj0y2v/meson-python-native-file.ini The Meson build system Version: 1.5.1 Source dir: /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2 Build dir: /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.mesonpy-1qlj0y2v Build type: native build Project name: scikit-learn Project version: 1.5.2 C compiler for the host machine: gcc (gcc 14.2.1 "gcc (GCC) 14.2.1 20241104 (Red Hat 14.2.1-6)") C linker for the host machine: gcc ld.bfd 2.43.50.20241104 C++ compiler for the host machine: g++ (gcc 14.2.1 "g++ (GCC) 14.2.1 20241104 (Red Hat 14.2.1-6)") C++ linker for the host machine: g++ ld.bfd 2.43.50.20241104 Cython compiler for the host machine: cython (cython 3.0.11) Host machine cpu family: ppc64 Host machine cpu: ppc64le Compiler for C supports arguments -Wno-unused-but-set-variable: YES Compiler for C supports arguments -Wno-unused-function: YES Compiler for C supports arguments -Wno-conversion: YES Compiler for C supports arguments -Wno-misleading-indentation: YES Library m found: YES Program python found: YES (/usr/bin/python3) Run-time dependency OpenMP for c found: YES 4.5 Found pkg-config: YES (/usr/bin/pkg-config) 2.3.0 Run-time dependency python found: YES 3.13 Build targets in project: 111 scikit-learn 1.5.2 User defined options Native files: /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.mesonpy-1qlj0y2v/meson-python-native-file.ini buildtype : release b_ndebug : if-release b_vscrt : md Found ninja-1.12.1 at /usr/bin/ninja + /usr/bin/ninja [1/249] Copying file sklearn/utils/_cython_blas.pxd [2/249] Copying file sklearn/utils/__init__.py [3/249] Copying file sklearn/_loss/_loss.pxd [4/249] Copying file sklearn/__init__.py [5/249] Copying file sklearn/utils/_random.pxd [6/249] Generating sklearn/utils/_seq_dataset_pxd with a custom command [7/249] Copying file sklearn/utils/_heap.pxd [8/249] Copying file sklearn/utils/_openmp_helpers.pxd [9/249] Generating sklearn/utils/_weight_vector_pxd with a custom command [10/249] Copying file sklearn/utils/_sorting.pxd [11/249] Copying file sklearn/utils/_typedefs.pxd [12/249] Copying file sklearn/utils/_vector_sentinel.pxd [13/249] Generating sklearn/metrics/_pairwise_distances_reduction/_base_pxd with a custom command [14/249] Generating sklearn/metrics/_dist_metrics_pxd with a custom command [15/249] Copying file sklearn/metrics/_pairwise_distances_reduction/__init__.py [16/249] Generating sklearn/metrics/_pairwise_distances_reduction/_datasets_pair_pxd with a custom command [17/249] Generating sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer_pxd with a custom command [18/249] Generating sklearn/metrics/_pairwise_distances_reduction/_argkmin_pxd with a custom command [19/249] Generating sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_pxd with a custom command [20/249] Copying file sklearn/metrics/__init__.py [21/249] Generating sklearn/neighbors/_binary_tree_pxi with a custom command [22/249] Copying file sklearn/linear_model/__init__.py [23/249] Copying file sklearn/linear_model/_sgd_fast.pxd [24/249] Copying file sklearn/metrics/_pairwise_distances_reduction/_classmode.pxd [25/249] Copying file sklearn/neighbors/__init__.py [26/249] Generating sklearn/_loss/_loss_pyx with a custom command [27/249] Generating sklearn/utils/_seq_dataset_pyx with a custom command [28/249] Copying file sklearn/neighbors/_partition_nodes.pxd [29/249] Generating sklearn/utils/_weight_vector_pyx with a custom command [30/249] Generating sklearn/metrics/_pairwise_distances_reduction/_base_pyx with a custom command [31/249] Generating sklearn/metrics/_dist_metrics_pyx with a custom command [32/249] Generating sklearn/metrics/_pairwise_distances_reduction/_datasets_pair_pyx with a custom command [33/249] Generating sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer_pyx with a custom command [34/249] Generating sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_pyx with a custom command [35/249] Generating sklearn/metrics/_pairwise_distances_reduction/_argkmin_pyx with a custom command [36/249] Generating sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode_pyx with a custom command [37/249] Generating sklearn/neighbors/_ball_tree_pyx with a custom command [38/249] Generating sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_classmode_pyx with a custom command [39/249] Generating sklearn/linear_model/_sgd_fast_pyx with a custom command [40/249] Generating sklearn/linear_model/_sag_fast_pyx with a custom command [41/249] Generating sklearn/neighbors/_kd_tree_pyx with a custom command [42/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/__check_build/_check_build.pyx [43/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/utils/murmurhash.pyx [44/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/_isotonic.pyx [45/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/utils/_fast_dict.pyx [46/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/utils/_openmp_helpers.pyx [47/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/utils/arrayfuncs.pyx [48/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/utils/sparsefuncs_fast.pyx [49/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/utils/_random.pyx [50/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/utils/_cython_blas.pyx [51/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/utils/_sorting.pyx [52/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/utils/_heap.pyx [53/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/utils/_typedefs.pyx [54/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/utils/_vector_sentinel.pyx [55/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/utils/_isfinite.pyx [56/249] Compiling Cython source sklearn/utils/_weight_vector.pyx [57/249] Compiling Cython source sklearn/utils/_seq_dataset.pyx [58/249] Compiling Cython source sklearn/metrics/_pairwise_distances_reduction/_datasets_pair.pyx [59/249] Compiling Cython source sklearn/metrics/_pairwise_distances_reduction/_base.pyx [60/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/metrics/_pairwise_fast.pyx [61/249] Compiling Cython source sklearn/metrics/_dist_metrics.pyx warning: sklearn/metrics/_dist_metrics.pyx:846:44: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier warning: sklearn/metrics/_dist_metrics.pyx:909:40: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier warning: sklearn/metrics/_dist_metrics.pyx:3426:44: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier warning: sklearn/metrics/_dist_metrics.pyx:3489:40: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier [62/249] Compiling Cython source sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer.pyx [63/249] Compiling Cython source sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode.pyx [64/249] Compiling Cython source sklearn/metrics/_pairwise_distances_reduction/_argkmin.pyx [65/249] Compiling Cython source sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.pyx [66/249] Compiling Cython source sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_classmode.pyx [67/249] Compiling Cython source sklearn/_loss/_loss.pyx [68/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/cluster/_dbscan_inner.pyx [69/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/metrics/cluster/_expected_mutual_info_fast.pyx [70/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/cluster/_hierarchical_fast.pyx [71/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/cluster/_hdbscan/_linkage.pyx [72/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/cluster/_k_means_minibatch.pyx 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/builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/cluster/_hdbscan/_tree.pyx [80/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/ensemble/_hist_gradient_boosting/_gradient_boosting.pyx [81/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/ensemble/_gradient_boosting.pyx [82/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/datasets/_svmlight_format_fast.pyx [83/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/ensemble/_hist_gradient_boosting/histogram.pyx [84/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/ensemble/_hist_gradient_boosting/splitting.pyx [85/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/ensemble/_hist_gradient_boosting/_binning.pyx [86/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/feature_extraction/_hashing_fast.pyx [87/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/ensemble/_hist_gradient_boosting/common.pyx [88/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/ensemble/_hist_gradient_boosting/_predictor.pyx [89/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/ensemble/_hist_gradient_boosting/_bitset.pyx [90/249] Compiling Cython source sklearn/linear_model/_sgd_fast.pyx [91/249] Compiling Cython source sklearn/linear_model/_sag_fast.pyx [92/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/manifold/_utils.pyx [93/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/neighbors/_partition_nodes.pyx [94/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/manifold/_barnes_hut_tsne.pyx [95/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/linear_model/_cd_fast.pyx [96/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/svm/_newrand.pyx [97/249] Compiling Cython source sklearn/neighbors/_ball_tree.pyx warning: sklearn/neighbors/_binary_tree.pxi:1092:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:1958:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2053:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2222:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2345:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2402:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2403:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2728:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3594:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3689:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3858:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3981:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:4038:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:4039:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_ball_tree.pyx:105:9: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_ball_tree.pyx:107:9: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier warning: sklearn/neighbors/_ball_tree.pyx:308:9: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_ball_tree.pyx:310:9: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier [98/249] Compiling Cython source sklearn/neighbors/_kd_tree.pyx warning: sklearn/neighbors/_binary_tree.pxi:1092:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:1958:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2053:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2222:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2345:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2402:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2403:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2728:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3594:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3689:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3858:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3981:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:4038:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:4039:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_kd_tree.pyx:74:9: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier warning: sklearn/neighbors/_kd_tree.pyx:75:9: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier warning: sklearn/neighbors/_kd_tree.pyx:342:9: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier warning: sklearn/neighbors/_kd_tree.pyx:343:9: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier [99/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/preprocessing/_csr_polynomial_expansion.pyx [100/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/neighbors/_quad_tree.pyx [101/249] Compiling C++ object sklearn/svm/libliblinear-skl.a.p/src_liblinear_tron.cpp.o [102/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/preprocessing/_target_encoder_fast.pyx [103/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/svm/_libsvm.pyx [104/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/svm/_libsvm_sparse.pyx [105/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/svm/_liblinear.pyx [106/249] Compiling C++ object sklearn/svm/libliblinear-skl.a.p/src_liblinear_linear.cpp.o [107/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/tree/_splitter.pyx [108/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/tree/_utils.pyx [109/249] Compiling C++ object sklearn/svm/liblibsvm-skl.a.p/src_libsvm_libsvm_template.cpp.o [110/249] Compiling C object sklearn/__check_build/_check_build.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn___check_build__check_build.pyx.c.o [111/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/tree/_tree.pyx [112/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/tree/_criterion.pyx [113/249] Compiling C++ object sklearn/utils/murmurhash.cpython-313-powerpc64le-linux-gnu.so.p/src_MurmurHash3.cpp.o [114/249] Compiling C object sklearn/utils/murmurhash.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_utils_murmurhash.pyx.c.o [115/249] Compiling C object sklearn/utils/_openmp_helpers.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_utils__openmp_helpers.pyx.c.o [116/249] Compiling C object sklearn/_isotonic.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn__isotonic.pyx.c.o [117/249] Compiling C++ object sklearn/utils/_fast_dict.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_utils__fast_dict.pyx.cpp.o [118/249] Compiling C object sklearn/utils/_heap.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_utils__heap.pyx.c.o [119/249] Compiling C object sklearn/utils/_sorting.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_utils__sorting.pyx.c.o [120/249] Compiling C object sklearn/utils/arrayfuncs.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_utils_arrayfuncs.pyx.c.o [121/249] Compiling C++ object sklearn/utils/_vector_sentinel.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_utils__vector_sentinel.pyx.cpp.o [122/249] Compiling C object sklearn/utils/_typedefs.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_utils__typedefs.pyx.c.o [123/249] Compiling C object sklearn/utils/_cython_blas.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_utils__cython_blas.pyx.c.o [124/249] Compiling C object sklearn/utils/_isfinite.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_utils__isfinite.pyx.c.o [125/249] Compiling C object sklearn/utils/_weight_vector.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_utils__weight_vector.pyx.c.o [126/249] Compiling C object sklearn/utils/_random.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_utils__random.pyx.c.o [127/249] Compiling C object sklearn/utils/_seq_dataset.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_utils__seq_dataset.pyx.c.o [128/249] Compiling C object sklearn/utils/sparsefuncs_fast.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_utils_sparsefuncs_fast.pyx.c.o [129/249] Compiling C object sklearn/metrics/_pairwise_fast.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_metrics__pairwise_fast.pyx.c.o [130/249] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_base.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_metrics__pairwise_distances_reduction__base.pyx.cpp.o [131/249] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_datasets_pair.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_metrics__pairwise_distances_reduction__datasets_pair.pyx.cpp.o [132/249] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_metrics__pairwise_distances_reduction__middle_term_computer.pyx.cpp.o [133/249] Compiling C object sklearn/metrics/_dist_metrics.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_metrics__dist_metrics.pyx.c.o sklearn/metrics/_dist_metrics.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c: In function ‘__pyx_pf_7sklearn_7metrics_13_dist_metrics_16DistanceMetric64_22_pairwise_sparse_dense’: sklearn/metrics/_dist_metrics.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c:29084:29: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 29084 | __pyx_v_x2_data = ((&(*((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const *) ( /* dim=1 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const *) ( /* dim=0 */ (__pyx_v_Y_data.data + __pyx_t_18 * __pyx_v_Y_data.strides[0]) )) + __pyx_t_19)) )))) + (__pyx_v_i2 * __pyx_v_n_features)); | ^ sklearn/metrics/_dist_metrics.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c: In function ‘__pyx_pf_7sklearn_7metrics_13_dist_metrics_16DistanceMetric64_24_pairwise_dense_sparse’: sklearn/metrics/_dist_metrics.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c:29869:27: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 29869 | __pyx_v_x1_data = ((&(*((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const *) ( /* dim=1 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const *) ( /* dim=0 */ (__pyx_v_X_data.data + __pyx_t_15 * __pyx_v_X_data.strides[0]) )) + __pyx_t_16)) )))) + (__pyx_v_i1 * __pyx_v_n_features)); | ^ sklearn/metrics/_dist_metrics.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c: In function ‘__pyx_pf_7sklearn_7metrics_13_dist_metrics_16DistanceMetric32_22_pairwise_sparse_dense’: sklearn/metrics/_dist_metrics.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c:48708:29: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 48708 | __pyx_v_x2_data = ((&(*((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const *) ( /* dim=1 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const *) ( /* dim=0 */ (__pyx_v_Y_data.data + __pyx_t_18 * __pyx_v_Y_data.strides[0]) )) + __pyx_t_19)) )))) + (__pyx_v_i2 * __pyx_v_n_features)); | ^ sklearn/metrics/_dist_metrics.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c: In function ‘__pyx_pf_7sklearn_7metrics_13_dist_metrics_16DistanceMetric32_24_pairwise_dense_sparse’: sklearn/metrics/_dist_metrics.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c:49493:27: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 49493 | __pyx_v_x1_data = ((&(*((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const *) ( /* dim=1 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const *) ( /* dim=0 */ (__pyx_v_X_data.data + __pyx_t_15 * __pyx_v_X_data.strides[0]) )) + __pyx_t_16)) )))) + (__pyx_v_i1 * __pyx_v_n_features)); | ^ [134/249] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_metrics__pairwise_distances_reduction__argkmin.pyx.cpp.o [135/249] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_metrics__pairwise_distances_reduction__argkmin_classmode.pyx.cpp.o [136/249] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_metrics__pairwise_distances_reduction__radius_neighbors.pyx.cpp.o [137/249] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_classmode.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_metrics__pairwise_distances_reduction__radius_neighbors_classmode.pyx.cpp.o [138/249] Compiling C++ object sklearn/cluster/_dbscan_inner.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_cluster__dbscan_inner.pyx.cpp.o [139/249] Compiling C object sklearn/metrics/cluster/_expected_mutual_info_fast.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_metrics_cluster__expected_mutual_info_fast.pyx.c.o [140/249] Compiling C++ object sklearn/cluster/_hierarchical_fast.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_cluster__hierarchical_fast.pyx.cpp.o [141/249] Compiling C object sklearn/cluster/_k_means_lloyd.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_cluster__k_means_lloyd.pyx.c.o [142/249] Compiling C object sklearn/cluster/_k_means_minibatch.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_cluster__k_means_minibatch.pyx.c.o [143/249] Compiling C object sklearn/cluster/_hdbscan/_linkage.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_cluster__hdbscan__linkage.pyx.c.o [144/249] Compiling C object sklearn/cluster/_k_means_common.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_cluster__k_means_common.pyx.c.o [145/249] Compiling C object sklearn/cluster/_k_means_elkan.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_cluster__k_means_elkan.pyx.c.o [146/249] Compiling C object sklearn/cluster/_hdbscan/_reachability.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_cluster__hdbscan__reachability.pyx.c.o [147/249] Compiling C object sklearn/decomposition/_cdnmf_fast.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_decomposition__cdnmf_fast.pyx.c.o [148/249] Compiling C object sklearn/decomposition/_online_lda_fast.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_decomposition__online_lda_fast.pyx.c.o [149/249] Compiling C object sklearn/ensemble/_gradient_boosting.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_ensemble__gradient_boosting.pyx.c.o [150/249] Compiling C object sklearn/cluster/_hdbscan/_tree.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_cluster__hdbscan__tree.pyx.c.o [151/249] Compiling C object sklearn/ensemble/_hist_gradient_boosting/_gradient_boosting.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_ensemble__hist_gradient_boosting__gradient_boosting.pyx.c.o [152/249] Compiling C object sklearn/ensemble/_hist_gradient_boosting/_binning.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_ensemble__hist_gradient_boosting__binning.pyx.c.o [153/249] Compiling C object sklearn/ensemble/_hist_gradient_boosting/histogram.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_ensemble__hist_gradient_boosting_histogram.pyx.c.o [154/249] Compiling C object sklearn/ensemble/_hist_gradient_boosting/_predictor.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_ensemble__hist_gradient_boosting__predictor.pyx.c.o [155/249] Compiling C object sklearn/ensemble/_hist_gradient_boosting/_bitset.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_ensemble__hist_gradient_boosting__bitset.pyx.c.o [156/249] Compiling C++ object sklearn/feature_extraction/_hashing_fast.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_feature_extraction__hashing_fast.pyx.cpp.o [157/249] Compiling C object sklearn/ensemble/_hist_gradient_boosting/common.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_ensemble__hist_gradient_boosting_common.pyx.c.o [158/249] Compiling C object sklearn/ensemble/_hist_gradient_boosting/splitting.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_ensemble__hist_gradient_boosting_splitting.pyx.c.o [159/249] Compiling C object sklearn/datasets/_svmlight_format_fast.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_datasets__svmlight_format_fast.pyx.c.o sklearn/datasets/_svmlight_format_fast.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/datasets/_svmlight_format_fast.pyx.c:3297:9: warning: ‘Py_UNICODE’ is deprecated [-Wdeprecated-declarations] 3297 | Py_UNICODE *as_pyunicodes; | ^~~~~~~~~~ [160/249] Compiling C object sklearn/_loss/_loss.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn__loss__loss.pyx.c.o [161/249] Compiling C object sklearn/manifold/_utils.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_manifold__utils.pyx.c.o [162/249] Compiling C++ object sklearn/neighbors/_partition_nodes.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_neighbors__partition_nodes.pyx.cpp.o [163/249] Compiling C object sklearn/linear_model/_sag_fast.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_linear_model__sag_fast.pyx.c.o [164/249] Compiling C object sklearn/manifold/_barnes_hut_tsne.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_manifold__barnes_hut_tsne.pyx.c.o [165/249] Compiling C object sklearn/linear_model/_sgd_fast.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_linear_model__sgd_fast.pyx.c.o [166/249] Compiling C++ object sklearn/svm/_newrand.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_svm__newrand.pyx.cpp.o [167/249] Linking static target sklearn/svm/liblibsvm-skl.a [168/249] Compiling C object sklearn/linear_model/_cd_fast.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_linear_model__cd_fast.pyx.c.o [169/249] Compiling C object sklearn/neighbors/_quad_tree.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_neighbors__quad_tree.pyx.c.o [170/249] Linking static target sklearn/svm/libliblinear-skl.a [171/249] Compiling C object sklearn/preprocessing/_csr_polynomial_expansion.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_preprocessing__csr_polynomial_expansion.pyx.c.o [172/249] Compiling C object sklearn/svm/_liblinear.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_svm__liblinear.pyx.c.o [173/249] Compiling C object sklearn/svm/_libsvm_sparse.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_svm__libsvm_sparse.pyx.c.o [174/249] Compiling C object sklearn/svm/_libsvm.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_svm__libsvm.pyx.c.o [175/249] Compiling C object sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_neighbors__ball_tree.pyx.c.o sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__recursive_build’: sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:32313:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 32313 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_1)) )))); | ^ sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__query_radius_single’: sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:39728:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 39728 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) )))); | ^ sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__kde_single_breadthfirst’: sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:40281:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 40281 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) )))); | ^ sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__kde_single_depthfirst’: sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:41187:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 41187 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) )))); | ^ sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__two_point_single’: sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:41798:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 41798 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) )))); | ^ sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__two_point_dual’: sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:42201:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 42201 | __pyx_v_idx_array1 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_1)) )))); | ^ sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:42211:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 42211 | __pyx_v_idx_array2 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_other->idx_array.data) + __pyx_t_1)) )))); | ^ sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__recursive_build’: sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:46126:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 46126 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_1)) )))); | ^ sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__query_radius_single’: sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:53550:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 53550 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) )))); | ^ sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__kde_single_breadthfirst’: sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:54103:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 54103 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) )))); | ^ sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__kde_single_depthfirst’: sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:55009:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 55009 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) )))); | ^ sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__two_point_single’: sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:55620:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 55620 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) )))); | ^ sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__two_point_dual’: sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:56023:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 56023 | __pyx_v_idx_array1 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_1)) )))); | ^ sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:56033:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 56033 | __pyx_v_idx_array2 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_other->idx_array.data) + __pyx_t_1)) )))); | ^ sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_init_node64’: sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:57910:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 57910 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_tree->idx_array.data) + __pyx_t_1)) )))); | ^ sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:57933:20: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 57933 | __pyx_v_centroid = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const *) ( /* dim=2 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_tree->node_bounds.data + __pyx_t_2 * __pyx_v_tree->node_bounds.strides[0]) ) + __pyx_t_3 * __pyx_v_tree->node_bounds.strides[1]) )) + __pyx_t_1)) )))); | ^ sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_init_node32’: sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:59285:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 59285 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_tree->idx_array.data) + __pyx_t_1)) )))); | ^ sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:59308:20: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 59308 | __pyx_v_centroid = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const *) ( /* dim=2 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_tree->node_bounds.data + __pyx_t_2 * __pyx_v_tree->node_bounds.strides[0]) ) + __pyx_t_3 * __pyx_v_tree->node_bounds.strides[1]) )) + __pyx_t_1)) )))); | ^ In function ‘__pyx_fuse_0__pyx_f_7sklearn_9neighbors_10_ball_tree__total_node_weight’, inlined from ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__kde_single_depthfirst’ at sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:55332:19: sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:57659:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized] 57659 | __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])])); | ^ sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__kde_single_depthfirst’: sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:54909:55: note: ‘__pyx_v_sample_weight’ was declared here 54909 | __pyx_t_7sklearn_5utils_9_typedefs_float32_t const *__pyx_v_sample_weight; | ^~~~~~~~~~~~~~~~~~~~~ In function ‘__pyx_fuse_1__pyx_f_7sklearn_9neighbors_10_ball_tree__total_node_weight’, inlined from ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__kde_single_depthfirst’ at sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:41510:19: sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:57718:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized] 57718 | __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])])); | ^ sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__kde_single_depthfirst’: sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:41087:55: note: ‘__pyx_v_sample_weight’ was declared here 41087 | __pyx_t_7sklearn_5utils_9_typedefs_float64_t const *__pyx_v_sample_weight; | ^~~~~~~~~~~~~~~~~~~~~ [176/249] Generating sklearn/write_built_with_meson_file with a custom command [177/249] Compiling C object sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_neighbors__kd_tree.pyx.c.o sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__recursive_build’: sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:32181:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 32181 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_1)) )))); | ^ sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__query_radius_single’: sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:39596:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 39596 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) )))); | ^ sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__kde_single_breadthfirst’: sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:40149:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 40149 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) )))); | ^ sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__kde_single_depthfirst’: sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:41055:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 41055 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) )))); | ^ sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__two_point_single’: sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:41666:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 41666 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) )))); | ^ sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__two_point_dual’: sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:42069:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 42069 | __pyx_v_idx_array1 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_1)) )))); | ^ sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:42079:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 42079 | __pyx_v_idx_array2 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_other->idx_array.data) + __pyx_t_1)) )))); | ^ sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__recursive_build’: sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:45994:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 45994 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_1)) )))); | ^ sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__query_radius_single’: sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:53418:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 53418 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) )))); | ^ sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__kde_single_breadthfirst’: sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:53971:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 53971 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) )))); | ^ sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__kde_single_depthfirst’: sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:54877:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 54877 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) )))); | ^ sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__two_point_single’: sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:55488:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 55488 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) )))); | ^ sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__two_point_dual’: sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:55891:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 55891 | __pyx_v_idx_array1 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_1)) )))); | ^ sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:55901:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 55901 | __pyx_v_idx_array2 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_other->idx_array.data) + __pyx_t_1)) )))); | ^ sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_init_node64’: sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:57775:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 57775 | __pyx_v_lower_bounds = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const *) ( /* dim=2 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_tree->node_bounds.data + __pyx_t_1 * __pyx_v_tree->node_bounds.strides[0]) ) + __pyx_t_2 * __pyx_v_tree->node_bounds.strides[1]) )) + __pyx_t_3)) )))); | ^ sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:57787:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 57787 | __pyx_v_upper_bounds = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const *) ( /* dim=2 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_tree->node_bounds.data + __pyx_t_3 * __pyx_v_tree->node_bounds.strides[0]) ) + __pyx_t_2 * __pyx_v_tree->node_bounds.strides[1]) )) + __pyx_t_1)) )))); | ^ sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_init_node32’: sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:59584:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 59584 | __pyx_v_lower_bounds = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const *) ( /* dim=2 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_tree->node_bounds.data + __pyx_t_1 * __pyx_v_tree->node_bounds.strides[0]) ) + __pyx_t_2 * __pyx_v_tree->node_bounds.strides[1]) )) + __pyx_t_3)) )))); | ^ sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:59596:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 59596 | __pyx_v_upper_bounds = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const *) ( /* dim=2 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_tree->node_bounds.data + __pyx_t_3 * __pyx_v_tree->node_bounds.strides[0]) ) + __pyx_t_2 * __pyx_v_tree->node_bounds.strides[1]) )) + __pyx_t_1)) )))); | ^ In function ‘__pyx_fuse_0__pyx_f_7sklearn_9neighbors_8_kd_tree__total_node_weight’, inlined from ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__kde_single_depthfirst’ at sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:55200:19: sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:57527:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized] 57527 | __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])])); | ^ sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__kde_single_depthfirst’: sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:54777:55: note: ‘__pyx_v_sample_weight’ was declared here 54777 | __pyx_t_7sklearn_5utils_9_typedefs_float32_t const *__pyx_v_sample_weight; | ^~~~~~~~~~~~~~~~~~~~~ In function ‘__pyx_fuse_1__pyx_f_7sklearn_9neighbors_8_kd_tree__total_node_weight’, inlined from ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__kde_single_depthfirst’ at sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:41378:19: sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:57586:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized] 57586 | __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])])); | ^ sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__kde_single_depthfirst’: sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:40955:55: note: ‘__pyx_v_sample_weight’ was declared here 40955 | __pyx_t_7sklearn_5utils_9_typedefs_float64_t const *__pyx_v_sample_weight; | ^~~~~~~~~~~~~~~~~~~~~ [178/249] Linking target sklearn/__check_build/_check_build.cpython-313-powerpc64le-linux-gnu.so [179/249] Compiling C++ object sklearn/preprocessing/_target_encoder_fast.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_preprocessing__target_encoder_fast.pyx.cpp.o [180/249] Linking target sklearn/_isotonic.cpython-313-powerpc64le-linux-gnu.so [181/249] Compiling C object sklearn/tree/_splitter.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_tree__splitter.pyx.c.o [182/249] Linking target sklearn/utils/sparsefuncs_fast.cpython-313-powerpc64le-linux-gnu.so [183/249] Linking target sklearn/utils/_cython_blas.cpython-313-powerpc64le-linux-gnu.so [184/249] Compiling C object sklearn/tree/_utils.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_tree__utils.pyx.c.o [185/249] Compiling C object sklearn/tree/_criterion.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_tree__criterion.pyx.c.o [186/249] Linking target sklearn/utils/arrayfuncs.cpython-313-powerpc64le-linux-gnu.so [187/249] Linking target sklearn/utils/_openmp_helpers.cpython-313-powerpc64le-linux-gnu.so [188/249] Linking target sklearn/utils/_heap.cpython-313-powerpc64le-linux-gnu.so [189/249] Linking target sklearn/utils/_sorting.cpython-313-powerpc64le-linux-gnu.so [190/249] Linking target sklearn/utils/_fast_dict.cpython-313-powerpc64le-linux-gnu.so [191/249] Linking target sklearn/utils/murmurhash.cpython-313-powerpc64le-linux-gnu.so [192/249] Linking target sklearn/utils/_typedefs.cpython-313-powerpc64le-linux-gnu.so [193/249] Linking target sklearn/utils/_random.cpython-313-powerpc64le-linux-gnu.so [194/249] Linking target sklearn/utils/_vector_sentinel.cpython-313-powerpc64le-linux-gnu.so [195/249] Linking target sklearn/utils/_seq_dataset.cpython-313-powerpc64le-linux-gnu.so [196/249] Linking target sklearn/utils/_isfinite.cpython-313-powerpc64le-linux-gnu.so [197/249] Linking target sklearn/utils/_weight_vector.cpython-313-powerpc64le-linux-gnu.so [198/249] Linking target sklearn/metrics/_pairwise_fast.cpython-313-powerpc64le-linux-gnu.so [199/249] Compiling C++ object sklearn/tree/_tree.cpython-313-powerpc64le-linux-gnu.so.p/meson-generated_sklearn_tree__tree.pyx.cpp.o In file included from /usr/include/c++/14/ppc64le-redhat-linux/bits/c++allocator.h:33, from /usr/include/c++/14/bits/allocator.h:46, from /usr/include/c++/14/string:43, from /usr/include/c++/14/bits/locale_classes.h:40, from /usr/include/c++/14/bits/ios_base.h:41, from /usr/include/c++/14/ios:44, from sklearn/tree/_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/tree/_tree.pyx.cpp:1266: In member function ‘std::__new_allocator::construct(long*, long const&)void’, inlined from ‘std::allocator_traits >::construct(std::allocator&, long*, long const&)void’ at /usr/include/c++/14/bits/alloc_traits.h:569:17, inlined from ‘std::deque >::_M_push_back_aux(long const&)void’ at /usr/include/c++/14/bits/deque.tcc:501:30, inlined from ‘std::deque >::push_back(long const&)’ at /usr/include/c++/14/bits/stl_deque.h:1548:20, inlined from ‘std::stack > >::push(long const&)’ at /usr/include/c++/14/bits/stl_stack.h:259:20, inlined from ‘__pyx_f_7sklearn_4tree_5_tree__cost_complexity_prune(__Pyx_memviewslice, __pyx_obj_7sklearn_4tree_5_tree_Tree*, __pyx_obj_7sklearn_4tree_5_tree__CCPPruneController*) [clone .isra.0]’ at sklearn/tree/_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/tree/_tree.pyx.cpp:43521:44: /usr/include/c++/14/bits/new_allocator.h:191:11: warning: ‘__pyx_v_pruned_branch_node_idx’ may be used uninitialized [-Wmaybe-uninitialized] 191 | { ::new((void *)__p) _Up(std::forward<_Args>(__args)...); } | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/tree/_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/tree/_tree.pyx.cpp: In function ‘__pyx_f_7sklearn_4tree_5_tree__cost_complexity_prune(__Pyx_memviewslice, __pyx_obj_7sklearn_4tree_5_tree_Tree*, __pyx_obj_7sklearn_4tree_5_tree__CCPPruneController*) [clone .isra.0]’: sklearn/tree/_tree.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/tree/_tree.pyx.cpp:42635:45: note: ‘__pyx_v_pruned_branch_node_idx’ was declared here 42635 | __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_pruned_branch_node_idx; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [200/249] Linking target sklearn/metrics/_pairwise_distances_reduction/_base.cpython-313-powerpc64le-linux-gnu.so [201/249] Linking target sklearn/metrics/_pairwise_distances_reduction/_datasets_pair.cpython-313-powerpc64le-linux-gnu.so [202/249] Linking target sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-313-powerpc64le-linux-gnu.so [203/249] Linking target sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer.cpython-313-powerpc64le-linux-gnu.so [204/249] Linking target sklearn/_loss/_loss.cpython-313-powerpc64le-linux-gnu.so [205/249] Linking target sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode.cpython-313-powerpc64le-linux-gnu.so [206/249] Linking target sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-313-powerpc64le-linux-gnu.so [207/249] Linking target sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_classmode.cpython-313-powerpc64le-linux-gnu.so [208/249] Linking target sklearn/metrics/_dist_metrics.cpython-313-powerpc64le-linux-gnu.so [209/249] Linking target sklearn/cluster/_dbscan_inner.cpython-313-powerpc64le-linux-gnu.so [210/249] Linking target sklearn/metrics/cluster/_expected_mutual_info_fast.cpython-313-powerpc64le-linux-gnu.so [211/249] Linking target sklearn/cluster/_hierarchical_fast.cpython-313-powerpc64le-linux-gnu.so [212/249] Linking target sklearn/cluster/_k_means_lloyd.cpython-313-powerpc64le-linux-gnu.so [213/249] Linking target sklearn/cluster/_k_means_minibatch.cpython-313-powerpc64le-linux-gnu.so [214/249] Linking target sklearn/cluster/_k_means_common.cpython-313-powerpc64le-linux-gnu.so [215/249] Linking target sklearn/cluster/_hdbscan/_linkage.cpython-313-powerpc64le-linux-gnu.so [216/249] Linking target sklearn/cluster/_k_means_elkan.cpython-313-powerpc64le-linux-gnu.so [217/249] Linking target sklearn/cluster/_hdbscan/_reachability.cpython-313-powerpc64le-linux-gnu.so [218/249] Linking target sklearn/cluster/_hdbscan/_tree.cpython-313-powerpc64le-linux-gnu.so [219/249] Linking target sklearn/ensemble/_hist_gradient_boosting/_gradient_boosting.cpython-313-powerpc64le-linux-gnu.so [220/249] Linking target sklearn/decomposition/_cdnmf_fast.cpython-313-powerpc64le-linux-gnu.so [221/249] Linking target sklearn/decomposition/_online_lda_fast.cpython-313-powerpc64le-linux-gnu.so [222/249] Linking target sklearn/ensemble/_gradient_boosting.cpython-313-powerpc64le-linux-gnu.so [223/249] Linking target sklearn/datasets/_svmlight_format_fast.cpython-313-powerpc64le-linux-gnu.so [224/249] Linking target sklearn/ensemble/_hist_gradient_boosting/histogram.cpython-313-powerpc64le-linux-gnu.so [225/249] Linking target sklearn/ensemble/_hist_gradient_boosting/_binning.cpython-313-powerpc64le-linux-gnu.so [226/249] Linking target sklearn/ensemble/_hist_gradient_boosting/_bitset.cpython-313-powerpc64le-linux-gnu.so [227/249] Linking target sklearn/ensemble/_hist_gradient_boosting/_predictor.cpython-313-powerpc64le-linux-gnu.so [228/249] Linking target sklearn/feature_extraction/_hashing_fast.cpython-313-powerpc64le-linux-gnu.so [229/249] Linking target sklearn/ensemble/_hist_gradient_boosting/splitting.cpython-313-powerpc64le-linux-gnu.so [230/249] Linking target sklearn/ensemble/_hist_gradient_boosting/common.cpython-313-powerpc64le-linux-gnu.so [231/249] Linking target sklearn/manifold/_utils.cpython-313-powerpc64le-linux-gnu.so [232/249] Linking target sklearn/linear_model/_sag_fast.cpython-313-powerpc64le-linux-gnu.so [233/249] Linking target sklearn/linear_model/_sgd_fast.cpython-313-powerpc64le-linux-gnu.so [234/249] Linking target sklearn/neighbors/_partition_nodes.cpython-313-powerpc64le-linux-gnu.so [235/249] Linking target sklearn/manifold/_barnes_hut_tsne.cpython-313-powerpc64le-linux-gnu.so [236/249] Linking target sklearn/svm/_newrand.cpython-313-powerpc64le-linux-gnu.so [237/249] Linking target sklearn/linear_model/_cd_fast.cpython-313-powerpc64le-linux-gnu.so [238/249] Linking target sklearn/neighbors/_quad_tree.cpython-313-powerpc64le-linux-gnu.so [239/249] Linking target sklearn/preprocessing/_csr_polynomial_expansion.cpython-313-powerpc64le-linux-gnu.so [240/249] Linking target sklearn/preprocessing/_target_encoder_fast.cpython-313-powerpc64le-linux-gnu.so [241/249] Linking target sklearn/svm/_libsvm_sparse.cpython-313-powerpc64le-linux-gnu.so [242/249] Linking target sklearn/svm/_libsvm.cpython-313-powerpc64le-linux-gnu.so [243/249] Linking target sklearn/svm/_liblinear.cpython-313-powerpc64le-linux-gnu.so [244/249] Linking target sklearn/neighbors/_ball_tree.cpython-313-powerpc64le-linux-gnu.so [245/249] Linking target sklearn/neighbors/_kd_tree.cpython-313-powerpc64le-linux-gnu.so [246/249] Linking target sklearn/tree/_splitter.cpython-313-powerpc64le-linux-gnu.so [247/249] Linking target sklearn/tree/_tree.cpython-313-powerpc64le-linux-gnu.so [248/249] Linking target sklearn/tree/_utils.cpython-313-powerpc64le-linux-gnu.so [249/249] Linking target sklearn/tree/_criterion.cpython-313-powerpc64le-linux-gnu.so [1/883] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.mesonpy-1qlj0y2v/sklearn/_built_with_meson.py [2/883] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.mesonpy-1qlj0y2v/sklearn/_isotonic.cpython-313-powerpc64le-linux-gnu.so [3/883] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.mesonpy-1qlj0y2v/sklearn/__check_build/_check_build.cpython-313-powerpc64le-linux-gnu.so [4/883] 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(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-1.5.2-cp313-cp313-linux_ppc64le.whl size=49526126 sha256=efef77d3055b7b6ebe66bd86e6ed529f74bc84a7ae039e2ec4264a67c5662ce3 Stored in directory: /builddir/.cache/pip/wheels/d0/f7/ed/169788b6ef0d060c3252060e72ecfdac93fbbb182a5bfb10c0 Successfully built scikit-learn + RPM_EC=0 ++ jobs -p + exit 0 Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.G1EpxS + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build + '[' /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT '!=' / ']' + rm -rf /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT ++ dirname /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT + mkdir -p /builddir/build/BUILD/python-scikit-learn-1.5.2-build + mkdir /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + cd scikit_learn-1.5.2 ++ ls /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/pyproject-wheeldir/scikit_learn-1.5.2-cp313-cp313-linux_ppc64le.whl ++ sed -E 's/([^-]+)-([^-]+)-.+\.whl/\1==\2/' ++ xargs basename --multiple + specifier=scikit_learn==1.5.2 + '[' -z scikit_learn==1.5.2 ']' + TMPDIR=/builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.pyproject-builddir + /usr/bin/python3 -m pip install --root /builddir/build/BUILD/python-scikit-learn-1.5.2-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-1.5.2-build/scikit_learn-1.5.2/pyproject-wheeldir scikit_learn==1.5.2 Using pip 24.3.1 from /usr/lib/python3.13/site-packages/pip (python 3.13) Looking in links: /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/pyproject-wheeldir Processing ./pyproject-wheeldir/scikit_learn-1.5.2-cp313-cp313-linux_ppc64le.whl Installing collected packages: scikit_learn Successfully installed scikit_learn-1.5.2 + '[' -d /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/bin ']' + rm -f /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-4.fc42.ppc64le-pyproject-ghost-distinfo + site_dirs=() + '[' -d /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib/python3.13/site-packages ']' + '[' /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages '!=' /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib/python3.13/site-packages ']' + '[' -d /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages ']' + site_dirs+=("/usr/lib64/python3.13/site-packages") + for site_dir in ${site_dirs[@]} + for distinfo in /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT$site_dir/*.dist-info + echo '%ghost /usr/lib64/python3.13/site-packages/scikit_learn-1.5.2.dist-info' + sed -i s/pip/rpm/ /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/scikit_learn-1.5.2.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-1.5.2-build/BUILDROOT --record /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/scikit_learn-1.5.2.dist-info/RECORD --output /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-4.fc42.ppc64le-pyproject-record + rm -fv /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/scikit_learn-1.5.2.dist-info/RECORD removed '/builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/scikit_learn-1.5.2.dist-info/RECORD' + rm -fv /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/scikit_learn-1.5.2.dist-info/REQUESTED removed '/builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/scikit_learn-1.5.2.dist-info/REQUESTED' ++ wc -l /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-4.fc42.ppc64le-pyproject-ghost-distinfo ++ cut -f1 '-d ' + lines=1 + '[' 1 -ne 1 ']' + RPM_FILES_ESCAPE=4.19 + /usr/bin/python3 /usr/lib/rpm/redhat/pyproject_save_files.py --output-files /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-4.fc42.ppc64le-pyproject-files --output-modules /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-4.fc42.ppc64le-pyproject-modules --buildroot /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT --sitelib /usr/lib/python3.13/site-packages --sitearch /usr/lib64/python3.13/site-packages --python-version 3.13 --pyproject-record /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-4.fc42.ppc64le-pyproject-record --prefix /usr sklearn + /usr/bin/find-debuginfo -j5 --strict-build-id -m -i --build-id-seed 1.5.2-4.fc42 --unique-debug-suffix -1.5.2-4.fc42.ppc64le --unique-debug-src-base python-scikit-learn-1.5.2-4.fc42.ppc64le --run-dwz --dwz-low-mem-die-limit 10000000 --dwz-max-die-limit 50000000 -S debugsourcefiles.list /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2 find-debuginfo: starting Extracting debug info from 67 files DWARF-compressing 67 files sepdebugcrcfix: Updated 67 CRC32s, 0 CRC32s did match. Creating .debug symlinks for symlinks to ELF files Copying sources found by 'debugedit -l' to /usr/src/debug/python-scikit-learn-1.5.2-4.fc42.ppc64le cpio: .mesonpy-1qlj0y2v/: Cannot stat: No such file or directory cpio: .mesonpy-1qlj0y2v/sklearn/__check_build/_check_build.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/__check_build/_check_build.pyx.c: Cannot stat: No such file or directory cpio: .mesonpy-1qlj0y2v/sklearn/_isotonic.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/_isotonic.pyx.c: Cannot stat: No such file or directory cpio: .mesonpy-1qlj0y2v/sklearn/_loss/_loss.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/_loss/_loss.pyx.c: Cannot stat: No such file or directory cpio: .mesonpy-1qlj0y2v/sklearn/cluster/_dbscan_inner.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/cluster/_dbscan_inner.pyx.cpp: Cannot stat: No such file or directory cpio: .mesonpy-1qlj0y2v/sklearn/cluster/_hdbscan/_linkage.cpython-313-powerpc64le-linux-gnu.so.p/sklearn/cluster/_hdbscan/_linkage.pyx.c: 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/builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/__pycache__/pipeline.cpython-313.pyc: rewriting with normalized contents Scanned 237 directories and 2102 files, processed 811 inodes, 811 modified (490 replaced + 321 rewritten), 0 unsupported format, 0 errors Reading /builddir/build/BUILD/python-scikit-learn-1.5.2-build/SPECPARTS/rpm-debuginfo.specpart Executing(%check): /bin/sh -e /var/tmp/rpm-tmp.zPQDHn + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS ~/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages ~/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2 + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + cd scikit_learn-1.5.2 + export PYTHONDONTWRITEBYTECODE=1 + PYTHONDONTWRITEBYTECODE=1 + export 'PYTEST_ADDOPTS=-p no:cacheprovider' + PYTEST_ADDOPTS='-p no:cacheprovider' + pushd /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages + pytest --deselect 'sklearn/datasets/tests/test_openml.py::test_fetch_openml_verify_checksum[True-liac-arff]' --deselect 'sklearn/datasets/tests/test_openml.py::test_fetch_openml_verify_checksum[False-liac-arff]' --deselect 'sklearn/datasets/tests/test_openml.py::test_fetch_openml_verify_checksum[True-pandas]' --deselect 'sklearn/datasets/tests/test_openml.py::test_fetch_openml_verify_checksum[False-pandas]' --deselect sklearn/covariance/tests/test_covariance.py --deselect sklearn/covariance/tests/test_robust_covariance.py --deselect sklearn/linear_model/tests/test_bayes.py::test_toy_ard_object --deselect 'sklearn/linear_model/tests/test_bayes.py::test_ard_accuracy_on_easy_problem[42-10-100]' --deselect 'sklearn/linear_model/tests/test_bayes.py::test_ard_accuracy_on_easy_problem[42-100-10]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_estimators_dtypes]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_regressors_no_decision_function]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_methods_sample_order_invariance]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_methods_subset_invariance]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_dont_overwrite_parameters]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_fit2d_predict1d]' --deselect 'sklearn/tests/test_common.py::test_estimators[EllipticEnvelope()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[EmpiricalCovariance()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[FastICA()-check_methods_sample_order_invariance]' --deselect 'sklearn/tests/test_common.py::test_estimators[FastICA()-check_methods_subset_invariance]' --deselect 'sklearn/tests/test_common.py::test_estimators[FastICA()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[FastICA()-check_dict_unchanged]' --deselect 'sklearn/tests/test_common.py::test_estimators[FastICA()-check_dont_overwrite_parameters]' --deselect 'sklearn/tests/test_common.py::test_estimators[FastICA()-check_fit2d_predict1d]' --deselect 'sklearn/tests/test_common.py::test_estimators[KernelPCA()-check_fit2d_1sample]' --deselect 'sklearn/tests/test_common.py::test_estimators[LedoitWolf()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[MinCovDet()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[OAS()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[RidgeCV()-check_fit2d_1sample]' --deselect 'sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV()-check_fit2d_1sample]' --deselect 'sklearn/tests/test_common.py::test_estimators[ShrunkCovariance()-check_fit2d_1feature]' --deselect 'sklearn/utils/tests/test_validation.py::test_check_is_fitted_with_attributes[list]' --deselect sklearn/utils/tests/test_validation.py::test_check_is_fitted --deselect 'sklearn/tests/test_calibration.py::test_calibrated_classifier_cv_zeros_sample_weights_equivalence[True-isotonic]' sklearn ============================= test session starts ============================== platform linux -- Python 3.13.0, pytest-8.3.3, pluggy-1.5.0 rootdir: /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages collected 34371 items / 54 deselected / 1 skipped / 34317 selected 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[100%] =============================== warnings summary =============================== sklearn/utils/estimator_checks.py:457: 10 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:457: SkipTestWarning: Can't instantiate estimator ColumnTransformer parameters ['transformers'] warnings.warn(msg, SkipTestWarning) sklearn/utils/estimator_checks.py:457: 10 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:457: SkipTestWarning: Can't instantiate estimator FeatureUnion parameters ['transformer_list'] warnings.warn(msg, SkipTestWarning) sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:457: SkipTestWarning: Can't instantiate estimator GridSearchCV parameters ['estimator', 'param_grid'] warnings.warn(msg, SkipTestWarning) sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:457: SkipTestWarning: Can't instantiate estimator HalvingGridSearchCV parameters ['estimator', 'param_grid'] warnings.warn(msg, SkipTestWarning) sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:457: SkipTestWarning: Can't instantiate estimator HalvingRandomSearchCV parameters ['estimator', 'param_distributions'] warnings.warn(msg, SkipTestWarning) sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:457: SkipTestWarning: Can't instantiate estimator Pipeline parameters ['steps'] warnings.warn(msg, SkipTestWarning) sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:457: SkipTestWarning: Can't instantiate estimator RandomizedSearchCV parameters ['estimator', 'param_distributions'] warnings.warn(msg, SkipTestWarning) sklearn/utils/estimator_checks.py:457: 10 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:457: SkipTestWarning: Can't instantiate estimator SparseCoder parameters ['dictionary'] warnings.warn(msg, SkipTestWarning) sklearn/utils/estimator_checks.py:336 /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:336: SkipTestWarning: Explicit SKIP via _skip_test tag for estimator ClassifierChain. warnings.warn( sklearn/utils/estimator_checks.py:328 /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:328: SkipTestWarning: Can't test estimator CountVectorizer which requires input of type ['string'] warnings.warn( sklearn/utils/estimator_checks.py:328 /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:328: SkipTestWarning: Can't test estimator DictVectorizer which requires input of type ['dict'] warnings.warn( sklearn/utils/estimator_checks.py:328 /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:328: SkipTestWarning: Can't test estimator FeatureHasher which requires input of type ['dict'] warnings.warn( sklearn/utils/estimator_checks.py:328 /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:328: SkipTestWarning: Can't test estimator HashingVectorizer which requires input of type ['string'] warnings.warn( sklearn/utils/estimator_checks.py:328 /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:328: SkipTestWarning: Can't test estimator IsotonicRegression which requires input of type ['1darray'] warnings.warn( sklearn/utils/estimator_checks.py:328 /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:328: SkipTestWarning: Can't test estimator LabelBinarizer which requires input of type ['1dlabels'] warnings.warn( sklearn/utils/estimator_checks.py:328 /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:328: SkipTestWarning: Can't test estimator LabelEncoder which requires input of type ['1dlabels'] warnings.warn( sklearn/utils/estimator_checks.py:328 /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:328: SkipTestWarning: Can't test estimator MultiLabelBinarizer which requires input of type ['2dlabels'] warnings.warn( sklearn/utils/estimator_checks.py:336 /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:336: SkipTestWarning: Explicit SKIP via _skip_test tag for estimator MultiOutputClassifier. warnings.warn( sklearn/utils/estimator_checks.py:328 /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:328: SkipTestWarning: Can't test estimator PatchExtractor which requires input of type ['3darray'] warnings.warn( sklearn/utils/estimator_checks.py:328 /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:328: SkipTestWarning: Can't test estimator TfidfVectorizer which requires input of type ['string'] warnings.warn( ../../../../../scikit_learn-1.5.2/sklearn/utils/_typedefs.pyx:21 /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/_affinity_propagation.py:52: UserWarning: All samples have mutually equal similarities. Returning arbitrary cluster center(s). warnings.warn( sklearn/cluster/tests/test_bicluster.py::test_n_features_in_[est0] sklearn/cluster/tests/test_bicluster.py::test_n_features_in_[est0] sklearn/cluster/tests/test_bicluster.py::test_n_features_in_[est0] sklearn/cluster/tests/test_bicluster.py::test_n_features_in_[est0] sklearn/preprocessing/tests/test_discretization.py::test_redundant_bins[kmeans-expected_bin_edges1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/base.py:1473: 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[42-float64] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/_birch.py:725: ConvergenceWarning: Number of subclusters found (3) by BIRCH is less than (4). Decrease the threshold. warnings.warn( sklearn/cluster/tests/test_dbscan.py: 10 warnings sklearn/cluster/tests/test_optics.py: 2 warnings sklearn/manifold/tests/test_isomap.py: 1 warning sklearn/neighbors/tests/test_neighbors.py: 122 warnings sklearn/utils/tests/test_estimator_checks.py: 20 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_base.py:246: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/_hdbscan/hdbscan.py:266: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/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_mean_shift.py: 3 warnings sklearn/compose/tests/test_column_transformer.py: 2 warnings sklearn/decomposition/tests/test_dict_learning.py: 10 warnings sklearn/decomposition/tests/test_online_lda.py: 2 warnings sklearn/ensemble/tests/test_bagging.py: 8 warnings sklearn/ensemble/tests/test_forest.py: 2 warnings sklearn/manifold/tests/test_mds.py: 3 warnings sklearn/metrics/tests/test_classification.py: 2 warnings sklearn/metrics/tests/test_pairwise.py: 2 warnings sklearn/model_selection/tests/test_search.py: 6 warnings sklearn/neighbors/tests/test_kd_tree.py: 2 warnings sklearn/neighbors/tests/test_neighbors.py: 2 warnings sklearn/tests/test_multioutput.py: 4 warnings sklearn/tests/test_pipeline.py: 2 warnings /usr/lib/python3.13/site-packages/joblib/externals/loky/backend/fork_exec.py:38: DeprecationWarning: This process (pid=13919) is multi-threaded, use of fork() may lead to deadlocks in the child. pid = os.fork() sklearn/cluster/tests/test_spectral.py::test_precomputed_nearest_neighbors_filtering sklearn/cluster/tests/test_spectral.py::test_precomputed_nearest_neighbors_filtering sklearn/manifold/tests/test_spectral_embedding.py::test_precomputed_nearest_neighbors_filtering sklearn/manifold/tests/test_spectral_embedding.py::test_precomputed_nearest_neighbors_filtering sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[SpectralEmbedding()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/manifold/_spectral_embedding.py:329: UserWarning: Graph is not fully connected, spectral embedding may not work as expected. warnings.warn( sklearn/cluster/tests/test_spectral.py::test_spectral_clustering_np_matrix_raises /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/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/compose/tests/test_target.py::test_transform_target_regressor_invertible /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_function_transformer.py:202: UserWarning: The provided functions are not strictly inverse of each other. If you are sure you want to proceed regardless, set 'check_inverse=False'. warnings.warn( sklearn/covariance/tests/test_graphical_lasso.py::test_graphical_lasso_n_iter[cd] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/covariance/_graph_lasso.py:139: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008809462491802256, tolerance: 8.876533008162483e-05 coefs, _, _, _ = cd_fast.enet_coordinate_descent_gram( sklearn/covariance/tests/test_graphical_lasso.py::test_graphical_lasso_n_iter[cd] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/covariance/_graph_lasso.py:139: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0010103266374811848, tolerance: 8.96862030376985e-05 coefs, _, _, _ = cd_fast.enet_coordinate_descent_gram( sklearn/covariance/tests/test_graphical_lasso.py::test_graphical_lasso_n_iter[cd] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/covariance/_graph_lasso.py:139: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.002290488556457221, tolerance: 0.00011435637954661176 coefs, _, _, _ = cd_fast.enet_coordinate_descent_gram( sklearn/covariance/tests/test_graphical_lasso.py::test_graphical_lasso_n_iter[cd] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/covariance/_graph_lasso.py:191: ConvergenceWarning: graphical_lasso: did not converge after 2 iteration: dual gap: 8.601e-03 warnings.warn( sklearn/covariance/tests/test_graphical_lasso.py: 20 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/covariance/_empirical_covariance.py:102: UserWarning: Only one sample available. You may want to reshape your data array warnings.warn( sklearn/covariance/tests/test_graphical_lasso.py::test_graphical_lasso_cv /usr/lib64/python3.13/site-packages/numpy/core/_methods.py:173: RuntimeWarning: invalid value encountered in subtract x = asanyarray(arr - arrmean) sklearn/datasets/tests/test_base.py::test_load_sample_images /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/datasets/tests/test_base.py:236: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/datasets/tests/test_base.py:245: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/datasets/_openml.py:1027: UserWarning: Version 2 of dataset anneal is inactive, meaning that issues have been found in the dataset. Try using a newer version from this URL: https://www.openml.org/data/v1/download/1/anneal.arff warn( sklearn/datasets/tests/test_svmlight_format.py: 16 warnings /usr/lib64/python3.13/site-packages/scipy/sparse/_data.py:74: RuntimeWarning: invalid value encountered in cast self.data.astype(dtype, casting=casting, copy=True), sklearn/datasets/tests/test_svmlight_format.py: 12 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/datasets/tests/test_svmlight_format.py:290: RuntimeWarning: invalid value encountered in cast X_input = X.astype(dtype) sklearn/decomposition/tests/test_kernel_pca.py: 28 warnings sklearn/linear_model/tests/test_passive_aggressive.py: 2 warnings sklearn/tests/test_common.py: 3 warnings sklearn/tests/test_multioutput.py: 39 warnings sklearn/utils/tests/test_estimator_checks.py: 2 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_stochastic_gradient.py:744: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit. warnings.warn( sklearn/decomposition/tests/test_nmf.py::test_nmf_fit_close[NMF-solver1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:1759: ConvergenceWarning: Maximum number of iterations 600 reached. Increase it to improve convergence. warnings.warn( sklearn/decomposition/tests/test_nmf.py::test_nmf_transform[mu] sklearn/decomposition/tests/test_nmf.py::test_nmf_regularization[NMF-solver0] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:1759: ConvergenceWarning: Maximum number of iterations 200 reached. Increase it to improve convergence. warnings.warn( sklearn/decomposition/tests/test_nmf.py: 24 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:1610: 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()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:1759: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:182: RuntimeWarning: divide by zero encountered in power sum_WH_beta = np.sum(WH**beta) sklearn/decomposition/tests/test_nmf.py::test_nmf_dtype_match[MiniBatchNMF-solver2-float32-float32] sklearn/decomposition/tests/test_nmf.py::test_nmf_dtype_match[MiniBatchNMF-solver2-float32-float32] sklearn/decomposition/tests/test_nmf.py::test_nmf_dtype_match[MiniBatchNMF-solver2-float64-float64] sklearn/decomposition/tests/test_nmf.py::test_nmf_dtype_match[MiniBatchNMF-solver2-float64-float64] sklearn/decomposition/tests/test_nmf.py::test_NMF_inverse_transform_Xt_deprecation[MiniBatchNMF] sklearn/decomposition/tests/test_nmf.py::test_nmf_n_components_auto[MiniBatchNMF] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:2341: ConvergenceWarning: Maximum number of iterations 200 reached. Increase it to improve convergence. warnings.warn( sklearn/decomposition/tests/test_nmf.py::test_nmf_n_components_default_value_warning /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:1258: RuntimeWarning: When init!='custom', provided W or H are ignored. Set init='custom' to use them as initialization. warnings.warn( sklearn/decomposition/tests/test_online_lda.py::test_lda_empty_docs[csr_matrix] sklearn/decomposition/tests/test_online_lda.py::test_lda_empty_docs[csr_array] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_lda.py:892: RuntimeWarning: invalid value encountered in scalar divide perword_bound = bound / word_cnt sklearn/ensemble/tests/test_bagging.py: 32 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/ensemble/_bagging.py:1020: RuntimeWarning: divide by zero encountered in log log_proba = np.log(self.predict_proba(X)) sklearn/ensemble/tests/test_bagging.py::test_oob_score_classification sklearn/ensemble/tests/test_bagging.py::test_oob_score_classification sklearn/ensemble/tests/test_bagging.py::test_oob_score_removed_on_warm_start /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/ensemble/_bagging.py:881: RuntimeWarning: invalid value encountered in divide oob_decision_function = predictions / predictions.sum(axis=1)[:, np.newaxis] sklearn/ensemble/tests/test_bagging.py::test_oob_score_removed_on_warm_start /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/ensemble/_bagging.py:875: UserWarning: Some inputs do not have OOB scores. This probably means too few estimators were used to compute any reliable oob estimates. warn( sklearn/ensemble/tests/test_bagging.py: 6 warnings sklearn/tree/tests/test_tree.py: 73 warnings sklearn/utils/tests/test_response.py: 1 warning /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/tree/_classes.py:1074: RuntimeWarning: divide by zero encountered in log return np.log(proba) sklearn/ensemble/tests/test_common.py: 2 warnings sklearn/tests/test_common.py: 5 warnings sklearn/tests/test_multioutput.py: 1 warning sklearn/tests/test_pipeline.py: 1 warning sklearn/utils/tests/test_estimator_checks.py: 1 warning sklearn/utils/tests/test_estimator_html_repr.py: 1 warning /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1): STOP: TOTAL NO. of ITERATIONS REACHED LIMIT. Increase the number of iterations (max_iter) or scale the data as shown in: https://scikit-learn.org/stable/modules/preprocessing.html Please also refer to the documentation for alternative solver options: https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression n_iter_i = _check_optimize_result( sklearn/ensemble/tests/test_forest.py::test_class_weight_errors[ExtraTreesClassifier] sklearn/ensemble/tests/test_forest.py::test_class_weight_errors[ExtraTreesClassifier] sklearn/ensemble/tests/test_forest.py::test_class_weight_errors[RandomForestClassifier] sklearn/ensemble/tests/test_forest.py::test_class_weight_errors[RandomForestClassifier] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/ensemble/_forest.py:861: UserWarning: class_weight presets "balanced" or "balanced_subsample" are not recommended for warm_start if the fitted data differs from the full dataset. In order to use "balanced" weights, use compute_class_weight ("balanced", classes, y). In place of y you can use a large enough sample of the full training set target to properly estimate the class frequency distributions. Pass the resulting weights as the class_weight parameter. warn( sklearn/ensemble/tests/test_forest.py::test_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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/base.py:1473: 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 sklearn/neural_network/tests/test_mlp.py: 1 warning /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neural_network/_multilayer_perceptron.py:690: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn't converged yet. warnings.warn( sklearn/ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME] sklearn/ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME] sklearn/ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME] sklearn/ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME] sklearn/ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME] sklearn/ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME] sklearn/ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME] sklearn/ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME] sklearn/ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/ensemble/_weight_boosting.py:704: RuntimeWarning: divide by zero encountered in log np.log(sample_weight) sklearn/ensemble/tests/test_weight_boosting.py: 21 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/ensemble/_weight_boosting.py:527: FutureWarning: The SAMME.R algorithm (the default) is deprecated and will be removed in 1.6. Use the SAMME algorithm to circumvent this warning. warnings.warn( sklearn/ensemble/tests/test_weight_boosting.py::test_sample_weights_infinite /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/ensemble/_weight_boosting.py:703: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:776: UserWarning: The least populated class in y has only 4 members, which is less than n_splits=5. warnings.warn( sklearn/feature_extraction/tests/test_text.py::test_vectorizer_stop_words_inconsistent sklearn/feature_extraction/tests/test_text.py::test_vectorizer_stop_words_inconsistent sklearn/feature_extraction/tests/test_text.py::test_vectorizer_stop_words_inconsistent /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/feature_extraction/text.py:406: UserWarning: Your stop_words may be inconsistent with your preprocessing. Tokenizing the stop words generated tokens ['and', 'll', 've'] not in stop_words. warnings.warn( sklearn/feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None--ngram_range3-\\w+--'preprocessor'-'analyzer'-is callable-CountVectorizer] sklearn/feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None--ngram_range3-\\w+--'preprocessor'-'analyzer'-is callable-HashingVectorizer] sklearn/feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None--ngram_range3-\\w+--'preprocessor'-'analyzer'-is callable-TfidfVectorizer] sklearn/feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None--ngram_range3-\\w+--'preprocessor'-'analyzer'-is callable-TfidfVectorizer] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/feature_extraction/text.py:551: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/feature_selection/_univariate_selection.py:112: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/feature_selection/_univariate_selection.py:113: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/feature_selection/_base.py:116: UserWarning: No features were selected: either the data is too noisy or the selection test too strict. warnings.warn( sklearn/feature_selection/tests/test_rfe.py: 49 warnings sklearn/model_selection/tests/test_search.py: 30 warnings sklearn/svm/tests/test_svm.py: 17 warnings sklearn/tests/test_calibration.py: 16 warnings sklearn/tests/test_common.py: 1 warning /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/svm/_base.py:1235: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/feature_selection/_variance_threshold.py:112: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/feature_selection/_variance_threshold.py:120: RuntimeWarning: All-NaN slice encountered self.variances_ = np.nanmin(compare_arr, axis=0) sklearn/gaussian_process/tests/test_gpc.py: 10 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:452: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__constant_value is close to the specified upper bound 100.0. Increasing the bound and calling fit again may find a better value. warnings.warn( sklearn/gaussian_process/tests/test_gpc.py::test_random_starts[42] sklearn/gaussian_process/tests/test_gpr.py::test_constant_target[kernel3] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:442: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__constant_value is close to the specified lower bound 0.01. Decreasing the bound and calling fit again may find a better value. warnings.warn( sklearn/gaussian_process/tests/test_gpc.py::test_multi_class[kernel0] sklearn/gaussian_process/tests/test_gpc.py::test_multi_class_n_jobs[kernel0] sklearn/gaussian_process/tests/test_gpr.py::test_constant_target[kernel0] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:452: ConvergenceWarning: The optimal value found for dimension 0 of parameter length_scale is close to the specified upper bound 100000.0. Increasing the bound and calling fit again may find a better value. warnings.warn( sklearn/gaussian_process/tests/test_gpr.py: 24 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:442: ConvergenceWarning: The optimal value found for dimension 0 of parameter k2__constant_value is close to the specified lower bound 1e-05. Decreasing the bound and calling fit again may find a better value. warnings.warn( sklearn/gaussian_process/tests/test_gpr.py: 13 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:442: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__k2__length_scale is close to the specified lower bound 0.001. Decreasing the bound and calling fit again may find a better value. warnings.warn( sklearn/gaussian_process/tests/test_gpr.py::test_random_starts /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:442: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__k2__length_scale is close to the specified lower bound 0.0001. Decreasing the bound and calling fit again may find a better value. warnings.warn( sklearn/gaussian_process/tests/test_gpr.py::test_random_starts /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:442: ConvergenceWarning: The optimal value found for dimension 1 of parameter k1__k2__length_scale is close to the specified lower bound 0.0001. Decreasing the bound and calling fit again may find a better value. warnings.warn( sklearn/gaussian_process/tests/test_gpr.py::test_bound_check_fixed_hyperparameter /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:442: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__k2__length_scale is close to the specified lower bound 1e-05. Decreasing the bound and calling fit again may find a better value. warnings.warn( sklearn/gaussian_process/tests/test_gpr.py::test_constant_target[kernel2] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:452: ConvergenceWarning: The optimal value found for dimension 0 of parameter length_scale is close to the specified upper bound 1000.0. Increasing the bound and calling fit again may find a better value. warnings.warn( sklearn/gaussian_process/tests/test_gpr.py::test_constant_target[kernel3] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:452: ConvergenceWarning: The optimal value found for dimension 0 of parameter k2__length_scale is close to the specified upper bound 1000.0. Increasing the bound and calling fit again may find a better value. warnings.warn( sklearn/gaussian_process/tests/test_gpr.py::test_constant_target[kernel4] sklearn/gaussian_process/tests/test_gpr.py::test_constant_target[kernel5] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:442: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__k1__constant_value is close to the specified lower bound 0.01. Decreasing the bound and calling fit again may find a better value. warnings.warn( sklearn/gaussian_process/tests/test_gpr.py::test_constant_target[kernel4] sklearn/gaussian_process/tests/test_gpr.py::test_constant_target[kernel5] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:452: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__k2__length_scale is close to the specified upper bound 1000.0. Increasing the bound and calling fit again may find a better value. warnings.warn( sklearn/gaussian_process/tests/test_gpr.py::test_gpr_fit_error[params1-ValueError-requires that all bounds are finite] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:357: RuntimeWarning: invalid value encountered in log return np.log(np.vstack(bounds)) sklearn/gaussian_process/tests/test_gpr.py::test_gpr_predict_input_not_modified /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:452: ConvergenceWarning: The optimal value found for dimension 0 of parameter constant_value is close to the specified upper bound 100000.0. Increasing the bound and calling fit again may find a better value. warnings.warn( sklearn/gaussian_process/tests/test_gpr.py::test_gpr_predict_input_not_modified /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/_gpr.py:477: UserWarning: Predicted variances smaller than 0. Setting those variances to 0. warnings.warn( sklearn/impute/tests/test_common.py: 16 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/impute/_base.py:598: 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: 20 warnings sklearn/impute/tests/test_impute.py: 4 warnings sklearn/impute/tests/test_knn.py: 61 warnings sklearn/tests/test_common.py: 1 warning /usr/lib64/python3.13/site-packages/numpy/ma/extras.py:617: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.) scl = avg.dtype.type(a.count(axis)) sklearn/impute/tests/test_common.py: 4 warnings sklearn/impute/tests/test_impute.py: 8 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/impute/_base.py:598: 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::test_imputation_mean_median[csc_matrix] sklearn/impute/tests/test_impute.py::test_imputation_mean_median[csc_array] sklearn/impute/tests/test_impute.py::test_simple_imputer_keep_empty_features[False-median-array] sklearn/impute/tests/test_impute.py::test_simple_imputer_keep_empty_features[False-median-array] sklearn/impute/tests/test_impute.py::test_simple_imputer_keep_empty_features[False-median-sparse] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/impute/_base.py:598: 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: 10 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/impute/_base.py:598: UserWarning: Skipping features without any observed values: [0]. At least one non-missing value is needed for imputation with strategy='most_frequent'. warnings.warn( sklearn/impute/tests/test_impute.py: 32 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/impute/_iterative.py:825: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/impute/_base.py:598: 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_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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/_chunking.py:169: 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_common.py: 2 warnings sklearn/tests/test_multioutput.py: 1 warning /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_stochastic_gradient.py:1616: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit. warnings.warn( sklearn/linear_model/tests/test_common.py: 1 warning sklearn/linear_model/tests/test_logistic.py: 1 warning sklearn/linear_model/tests/test_ridge.py: 18 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_sag.py:349: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge warnings.warn( sklearn/linear_model/tests/test_coordinate_descent.py::test_lasso_zero sklearn/linear_model/tests/test_coordinate_descent.py::test_uniform_targets sklearn/linear_model/tests/test_coordinate_descent.py::test_uniform_targets sklearn/linear_model/tests/test_coordinate_descent.py::test_uniform_targets sklearn/linear_model/tests/test_coordinate_descent.py::test_uniform_targets /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:697: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 0.000e+00, tolerance: 0.000e+00 model = cd_fast.enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_nonfinite_params sklearn/neural_network/tests/test_mlp.py::test_nonfinite_params /usr/lib64/python3.13/site-packages/numpy/core/_methods.py:118: RuntimeWarning: overflow encountered in reduce ret = umr_sum(arr, axis, dtype, out, keepdims, where=where) sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_nonfinite_params /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:697: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: nan, tolerance: 2.100e-04 model = cd_fast.enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_nonfinite_params /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_base.py:320: RuntimeWarning: invalid value encountered in matmul intercept_ = y_offset - X_offset @ coef_ sklearn/linear_model/tests/test_coordinate_descent.py: 52 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-15, tolerance: 1.404036409324171e-15 model = cd_fast.enet_coordinate_descent_gram( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3.552713678800501e-15, tolerance: 1.404036409324171e-15 model = cd_fast.enet_coordinate_descent_gram( sklearn/linear_model/tests/test_coordinate_descent.py: 44 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-15, tolerance: 1.285830869609557e-15 model = cd_fast.enet_coordinate_descent_gram( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3.552713678800501e-15, tolerance: 1.285830869609557e-15 model = cd_fast.enet_coordinate_descent_gram( sklearn/linear_model/tests/test_coordinate_descent.py: 28 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-15, tolerance: 1.4340335165128714e-15 model = cd_fast.enet_coordinate_descent_gram( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3.552713678800501e-15, tolerance: 1.4340335165128714e-15 model = cd_fast.enet_coordinate_descent_gram( sklearn/linear_model/tests/test_coordinate_descent.py: 42 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-15, tolerance: 1.4257797990385122e-15 model = cd_fast.enet_coordinate_descent_gram( sklearn/linear_model/tests/test_coordinate_descent.py: 40 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-15, tolerance: 1.3875425663975809e-15 model = cd_fast.enet_coordinate_descent_gram( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3.552713678800501e-15, tolerance: 1.3875425663975809e-15 model = cd_fast.enet_coordinate_descent_gram( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:697: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.553e-15, tolerance: 1.738e-15 model = cd_fast.enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-15, tolerance: 1.404036409324171e-15 model = cd_fast.sparse_enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3.552713678800501e-15, tolerance: 1.404036409324171e-15 model = cd_fast.sparse_enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-15, tolerance: 1.285830869609557e-15 model = cd_fast.sparse_enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8.348877145181177e-14, tolerance: 1.285830869609557e-15 model = cd_fast.sparse_enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9.414691248821327e-14, tolerance: 1.285830869609557e-15 model = cd_fast.sparse_enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7.105427357601002e-15, tolerance: 1.285830869609557e-15 model = cd_fast.sparse_enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.2256862191861728e-13, tolerance: 1.285830869609557e-15 model = cd_fast.sparse_enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-15, tolerance: 1.4340335165128714e-15 model = cd_fast.sparse_enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.509903313490213e-13, tolerance: 1.4340335165128714e-15 model = cd_fast.sparse_enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-15, tolerance: 1.4257797990385122e-15 model = cd_fast.sparse_enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3.552713678800501e-15, tolerance: 1.4257797990385122e-15 model = cd_fast.sparse_enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6.394884621840902e-14, tolerance: 1.4257797990385122e-15 model = cd_fast.sparse_enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6.572520305780927e-14, tolerance: 1.4257797990385122e-15 model = cd_fast.sparse_enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5.1514348342607263e-14, tolerance: 1.4257797990385122e-15 model = cd_fast.sparse_enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-15, tolerance: 1.3875425663975809e-15 model = cd_fast.sparse_enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3.552713678800501e-15, tolerance: 1.3875425663975809e-15 model = cd_fast.sparse_enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-ElasticNet-params5] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-ElasticNet-params5] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:697: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.519e+00, tolerance: 1.738e-15 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead. model = cd_fast.enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-ElasticNet-params5] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-ElasticNet-params5] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8.519405806421231, tolerance: 1.738326821656069e-15 model = cd_fast.sparse_enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_lasso_alpha_warning /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:697: UserWarning: Coordinate descent with no regularization may lead to unexpected results and is discouraged. model = cd_fast.enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py: 60 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0, tolerance: 0.0 model = cd_fast.enet_coordinate_descent_gram( sklearn/linear_model/tests/test_coordinate_descent.py: 20 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0, tolerance: 0.0 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/linear_model/tests/test_coordinate_descent.py::test_uniform_targets sklearn/linear_model/tests/test_coordinate_descent.py::test_uniform_targets sklearn/linear_model/tests/test_coordinate_descent.py::test_uniform_targets sklearn/linear_model/tests/test_coordinate_descent.py::test_uniform_targets /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:2639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0, tolerance: 0.0 ) = cd_fast.enet_coordinate_descent_multi_task( sklearn/linear_model/tests/test_coordinate_descent.py::test_multitask_enet_and_lasso_cv /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:2639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 2.5515863893489272, tolerance: 2.1444555087788615 ) = cd_fast.enet_coordinate_descent_multi_task( sklearn/linear_model/tests/test_coordinate_descent.py::test_multitask_enet_and_lasso_cv /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:2639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 2.1730065816503354, tolerance: 2.1444555087788615 ) = cd_fast.enet_coordinate_descent_multi_task( sklearn/linear_model/tests/test_coordinate_descent.py::test_check_input_false /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:697: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.109e-07, tolerance: 1.896e-07 model = cd_fast.enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_check_input_false /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:697: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.497e-06, tolerance: 1.972e-07 model = cd_fast.enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_check_input_false /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:697: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.310e-07, tolerance: 1.633e-07 model = cd_fast.enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_check_input_false /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:697: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.682e-07, tolerance: 2.232e-07 model = cd_fast.enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_check_input_false /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:697: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.594e-07, tolerance: 1.215e-07 model = cd_fast.enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_l1_ratio /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 62.449999999999996, tolerance: 0.013475 model = cd_fast.enet_coordinate_descent_gram( sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_l1_ratio /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 56.96052631578949, tolerance: 0.013075 model = cd_fast.enet_coordinate_descent_gram( sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_l1_ratio /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 61.26368421052631, tolerance: 0.0134 model = cd_fast.enet_coordinate_descent_gram( sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_l1_ratio /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3.771904761904758, tolerance: 0.0029000000000000002 model = cd_fast.enet_coordinate_descent_gram( sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_l1_ratio /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 25.586363636363632, tolerance: 0.0077 model = cd_fast.enet_coordinate_descent_gram( sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_ridge_consistency[0.1] sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_ridge_consistency[1.0] sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_ridge_consistency[1000000.0] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:697: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.757e+03, tolerance: 2.375e-08 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead. model = cd_fast.enet_coordinate_descent( sklearn/linear_model/tests/test_huber.py::test_huber_max_iter sklearn/linear_model/tests/test_quantile.py::test_quantile_equals_huber_for_low_epsilon[True] sklearn/linear_model/tests/test_quantile.py::test_quantile_equals_huber_for_low_epsilon[False] sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[HuberRegressor()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_huber.py:342: ConvergenceWarning: lbfgs failed to converge (status=1): STOP: TOTAL NO. of ITERATIONS REACHED LIMIT. Increase the number of iterations (max_iter) or scale the data as shown in: https://scikit-learn.org/stable/modules/preprocessing.html self.n_iter_ = _check_optimize_result("lbfgs", opt_res, self.max_iter) sklearn/linear_model/tests/test_omp.py::test_unreachable_accuracy sklearn/linear_model/tests/test_omp.py::test_unreachable_accuracy sklearn/linear_model/tests/test_omp.py::test_omp_cv sklearn/linear_model/tests/test_omp.py::test_omp_cv sklearn/linear_model/tests/test_omp.py::test_omp_cv sklearn/linear_model/tests/test_omp.py::test_omp_cv /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_omp.py:445: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. out = _cholesky_omp( sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized[wide-42-True-cholesky] sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[wide-42-True-cholesky] sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-True-cholesky] sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-False-cholesky] sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeClassifierCV-3] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:255: UserWarning: Singular matrix in solving dual problem. Using least-squares solution instead. warnings.warn( sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:253: LinAlgWarning: Ill-conditioned matrix (rcond=5.74507e-17): result may not be accurate. dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False) sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:253: LinAlgWarning: Ill-conditioned matrix (rcond=5.49293e-17): result may not be accurate. dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False) sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:253: LinAlgWarning: Ill-conditioned matrix (rcond=3.15218e-17): result may not be accurate. dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False) sklearn/linear_model/tests/test_ridge.py: 57 warnings sklearn/model_selection/tests/test_search.py: 10 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_regression.py:1211: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:1103: UserWarning: One or more of the test scores are non-finite: [nan nan nan] warnings.warn( sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:216: LinAlgWarning: Ill-conditioned matrix (rcond=4.53866e-18): result may not be accurate. return linalg.solve(A, Xy, assume_a="pos", overwrite_a=True).T sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeClassifierCV-3] sklearn/model_selection/tests/test_search.py::test_search_with_2d_array sklearn/tests/test_common.py::test_class_weight_balanced_linear_classifiers[LogisticRegressionCV-LogisticRegressionCV] sklearn/tests/test_common.py::test_class_weight_balanced_linear_classifiers[LogisticRegressionCV-LogisticRegressionCV] sklearn/tests/test_common.py::test_class_weight_balanced_linear_classifiers[RidgeClassifierCV-RidgeClassifierCV] sklearn/tests/test_common.py::test_class_weight_balanced_linear_classifiers[RidgeClassifierCV-RidgeClassifierCV] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:776: UserWarning: The least populated class in y has only 2 members, which is less than n_splits=3. warnings.warn( sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeClassifierCV-3] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:253: LinAlgWarning: Ill-conditioned matrix (rcond=7.76968e-17): result may not be accurate. dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False) sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeClassifierCV-3] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:253: LinAlgWarning: Ill-conditioned matrix (rcond=2.38404e-17): result may not be accurate. dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False) sklearn/linear_model/tests/test_sparse_coordinate_descent.py::test_lasso_zero[csc_matrix] sklearn/linear_model/tests/test_sparse_coordinate_descent.py::test_lasso_zero[csc_array] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0, tolerance: 0.0 model = cd_fast.sparse_enet_coordinate_descent( sklearn/manifold/tests/test_isomap.py::test_transform[float64-2-None] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/manifold/_isomap.py:383: 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: 20 warnings sklearn/utils/tests/test_graph.py: 4 warnings sklearn/utils/tests/test_validation.py: 16 warnings /usr/lib64/python3.13/site-packages/scipy/sparse/_index.py:108: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil and dok are more efficient. self._set_intXint(row, col, x.flat[0]) sklearn/manifold/tests/test_isomap.py::test_pipeline[float64-2-None] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/manifold/_isomap.py:383: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/manifold/_isomap.py:383: UserWarning: The number of connected components of the neighbors graph is 3 > 1. Completing the graph to fit Isomap might be slow. Increase the number of neighbors to avoid this issue. self._fit_transform(X) sklearn/metrics/tests/test_classification.py::test_classification_report_output_dict_empty_input /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior. _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result)) sklearn/metrics/tests/test_classification.py::test_classification_report_output_dict_empty_input /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior. _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result)) sklearn/metrics/tests/test_classification.py::test_classification_report_output_dict_empty_input /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 due to no true nor predicted samples. Use `zero_division` parameter to control this behavior. _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result)) sklearn/metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False] sklearn/metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False] sklearn/metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior. _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result)) sklearn/metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False] sklearn/metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False] sklearn/metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior. _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result)) sklearn/metrics/tests/test_classification.py::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] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no true nor predicted samples. Use `zero_division` parameter to control this behavior. _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result)) sklearn/metrics/tests/test_classification.py::test_likelihood_ratios_warnings[params0-samples of only one class were seen during testing] sklearn/metrics/tests/test_classification.py::test_matthews_corrcoef /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels. warnings.warn( sklearn/metrics/tests/test_classification.py::test_likelihood_ratios_warnings[params4-no samples of the positive class were present in the testing set] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:2025: RuntimeWarning: invalid value encountered in scalar divide positive_likelihood_ratio = pos_num / pos_denom sklearn/metrics/tests/test_classification.py::test_likelihood_ratios_warnings[params4-no samples of the positive class were present in the testing set] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:2032: RuntimeWarning: invalid value encountered in scalar divide negative_likelihood_ratio = neg_num / neg_denom sklearn/metrics/tests/test_classification.py::test_likelihood_ratios /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/_param_validation.py:213: UserWarning: positive_likelihood_ratio ill-defined and being set to nan return func(*args, **kwargs) sklearn/metrics/tests/test_classification.py::test_balanced_accuracy_score[y_true2-y_pred2] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:2480: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1583: UserWarning: Note that pos_label (set to 'one') is ignored when average != 'binary' (got None). You may use labels=[pos_label] to specify a single positive class. warnings.warn( sklearn/metrics/tests/test_common.py: 301 warnings sklearn/tests/test_common.py: 28 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/_array_api.py:390: RuntimeWarning: invalid value encountered in cast return x.astype(dtype, copy=copy, casting=casting) sklearn/metrics/tests/test_common.py::test_normalize_option_binary_classification[top_k_accuracy_score] sklearn/metrics/tests/test_common.py::test_normalize_option_binary_classification[top_k_accuracy_score] sklearn/metrics/tests/test_ranking.py::test_top_k_accuracy_score_binary[y_score2-2-1] sklearn/metrics/tests/test_ranking.py::test_top_k_accuracy_score_binary[y_score5-2-1] sklearn/metrics/tests/test_score_objects.py::test_classification_binary_scores[top_k_accuracy-top_k_accuracy_score] sklearn/metrics/tests/test_score_objects.py::test_classification_binary_scores[top_k_accuracy-top_k_accuracy_score] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_ranking.py:2025: 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: 25 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in samples with no predicted labels. Use `zero_division` parameter to control this behavior. _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result)) sklearn/metrics/tests/test_ranking.py::test_precision_recall_curve_drop_intermediate /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_ranking.py:1030: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/tests/test_regression.py:174: RuntimeWarning: invalid value encountered in scalar divide - np.abs(y_true[:, i] - y_pred[:, i]).sum() sklearn/metrics/tests/test_regression.py::test_multioutput_regression sklearn/metrics/tests/test_regression.py::test_multioutput_regression sklearn/metrics/tests/test_regression.py::test_multioutput_regression sklearn/metrics/tests/test_regression.py::test_regression_metrics_at_limits sklearn/metrics/tests/test_regression.py::test_regression_metrics_at_limits sklearn/metrics/tests/test_regression.py::test_regression_multioutput_array sklearn/metrics/tests/test_regression.py::test_regression_multioutput_array sklearn/metrics/tests/test_regression.py::test_regression_multioutput_array sklearn/metrics/tests/test_regression.py::test_regression_multioutput_array /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_regression.py:876: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_regression.py:876: RuntimeWarning: divide by zero encountered in divide output_scores = 1 - (numerator / denominator) sklearn/mixture/tests/test_bayesian_mixture.py: 349 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/mixture/_bayesian_mixture.py:812: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.) log_wishart = self.n_components * np.float64( sklearn/mixture/tests/test_gaussian_mixture.py::test_regularisation sklearn/mixture/tests/test_gaussian_mixture.py::test_regularisation sklearn/mixture/tests/test_gaussian_mixture.py::test_regularisation sklearn/mixture/tests/test_gaussian_mixture.py::test_regularisation sklearn/mixture/tests/test_gaussian_mixture.py::test_regularisation sklearn/mixture/tests/test_gaussian_mixture.py::test_regularisation sklearn/mixture/tests/test_gaussian_mixture.py::test_regularisation sklearn/mixture/tests/test_gaussian_mixture.py::test_regularisation /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/base.py:1473: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/mixture/_base.py:270: ConvergenceWarning: Best performing initialization did not converge. Try different init parameters, or increase max_iter, tol, or check for degenerate data. warnings.warn( sklearn/model_selection/tests/test_search.py::test_SearchCV_with_fit_params[RandomizedSearchCV] sklearn/model_selection/tests/test_search.py::test_SearchCV_with_fit_params[RandomizedSearchCV] sklearn/model_selection/tests/test_search.py::test_SearchCV_with_fit_params[RandomizedSearchCV] sklearn/model_selection/tests/test_search.py::test_empty_cv_iterator_error sklearn/model_selection/tests/test_search.py::test_random_search_bad_cv sklearn/model_selection/tests/test_search.py::test_inverse_transform_Xt_deprecation[RandomizedSearchCV] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:320: 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: 6 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:320: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:320: UserWarning: The total space of parameters 9 is smaller than n_iter=30. Running 9 iterations. For exhaustive searches, use GridSearchCV. warnings.warn( sklearn/model_selection/tests/test_search.py::test_search_cv_results_none_param /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:1103: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:1103: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_stochastic_gradient.py:1387: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:320: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:776: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:776: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:776: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:994: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:994: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:994: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:320: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:320: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:320: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:848: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py:1415: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py:1415: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:776: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py:1415: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py:1415: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py:982: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py", line 971, 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_lof.py:283: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_lof.py:283: 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_estimators_nan_inf] sklearn/neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_estimators_nan_inf] sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LocalOutlierFactor()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_lof.py:283: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_lof.py:283: 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_neighbors.py: 184 warnings sklearn/tests/test_common.py: 47 warnings /usr/lib64/python3.13/site-packages/numpy/core/numeric.py:407: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_classification.py:829: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_base.py:583: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_unsupervised.py:176: 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[42-float64-yule] sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-yule] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/pairwise.py:2361: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_classification.py:819: 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[42-float64-dice] sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-dice] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/pairwise.py:2361: DataConversionWarning: Data was converted to boolean for metric dice warnings.warn(msg, DataConversionWarning) sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-jaccard] sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-jaccard] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/pairwise.py:2361: DataConversionWarning: Data was converted to boolean for metric jaccard warnings.warn(msg, DataConversionWarning) sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-rogerstanimoto] sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-rogerstanimoto] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/pairwise.py:2361: DataConversionWarning: Data was converted to boolean for metric rogerstanimoto warnings.warn(msg, DataConversionWarning) sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-russellrao] sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-russellrao] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/pairwise.py:2361: DataConversionWarning: Data was converted to boolean for metric russellrao warnings.warn(msg, DataConversionWarning) sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-sokalmichener] sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-sokalmichener] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/pairwise.py:2361: DataConversionWarning: Data was converted to boolean for metric sokalmichener warnings.warn(msg, DataConversionWarning) sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-sokalsneath] sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-sokalsneath] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/pairwise.py:2361: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_base.py:653: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/manifold/_spectral_embedding.py:310: UserWarning: Array is not symmetric, and will be converted to symmetric by average with its transpose. adjacency = check_symmetric(adjacency) sklearn/neural_network/tests/test_mlp.py: 10 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neural_network/_multilayer_perceptron.py:545: ConvergenceWarning: lbfgs failed to converge (status=1): STOP: TOTAL NO. of ITERATIONS REACHED LIMIT. Increase the number of iterations (max_iter) or scale the data as shown in: https://scikit-learn.org/stable/modules/preprocessing.html self.n_iter_ = _check_optimize_result("lbfgs", opt_res, self.max_iter) sklearn/neural_network/tests/test_mlp.py::test_nonfinite_params /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neural_network/_base.py:172: RuntimeWarning: overflow encountered in square return ((y_true - y_pred) ** 2).mean() / 2 sklearn/neural_network/tests/test_mlp.py::test_nonfinite_params /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/extmath.py:205: RuntimeWarning: overflow encountered in matmul ret = a @ b sklearn/neural_network/tests/test_mlp.py::test_nonfinite_params /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neural_network/_stochastic_optimizers.py:275: RuntimeWarning: overflow encountered in square self.beta_2 * v + (1 - self.beta_2) * (grad**2) sklearn/neural_network/tests/test_mlp.py::test_nonfinite_params /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neural_network/_stochastic_optimizers.py:284: RuntimeWarning: invalid value encountered in divide -self.learning_rate * m / (np.sqrt(v) + self.epsilon) sklearn/neural_network/tests/test_mlp.py::test_shuffle sklearn/neural_network/tests/test_mlp.py::test_shuffle sklearn/neural_network/tests/test_mlp.py::test_shuffle sklearn/neural_network/tests/test_mlp.py::test_shuffle sklearn/neural_network/tests/test_mlp.py::test_shuffle sklearn/neural_network/tests/test_mlp.py::test_shuffle /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neural_network/_multilayer_perceptron.py:690: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (1) reached and the optimization hasn't converged yet. warnings.warn( sklearn/neural_network/tests/test_mlp.py::test_warm_start_full_iteration[MLPClassifier] sklearn/neural_network/tests/test_mlp.py::test_warm_start_full_iteration[MLPClassifier] sklearn/neural_network/tests/test_mlp.py::test_warm_start_full_iteration[MLPRegressor] sklearn/neural_network/tests/test_mlp.py::test_warm_start_full_iteration[MLPRegressor] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neural_network/_multilayer_perceptron.py:690: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (3) reached and the optimization hasn't converged yet. warnings.warn( sklearn/neural_network/tests/test_mlp.py::test_mlp_classifier_dtypes_casting sklearn/neural_network/tests/test_mlp.py::test_mlp_classifier_dtypes_casting sklearn/neural_network/tests/test_mlp.py::test_mlp_regressor_dtypes_casting sklearn/neural_network/tests/test_mlp.py::test_mlp_regressor_dtypes_casting sklearn/neural_network/tests/test_mlp.py::test_mlp_param_dtypes[MLPClassifier-float32] sklearn/neural_network/tests/test_mlp.py::test_mlp_param_dtypes[MLPClassifier-float64] sklearn/neural_network/tests/test_mlp.py::test_mlp_param_dtypes[MLPRegressor-float32] sklearn/neural_network/tests/test_mlp.py::test_mlp_param_dtypes[MLPRegressor-float64] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neural_network/_multilayer_perceptron.py:690: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( sklearn/neural_network/tests/test_mlp.py::test_mlp_warm_start_with_early_stopping[MLPClassifier] sklearn/neural_network/tests/test_mlp.py::test_mlp_warm_start_with_early_stopping[MLPRegressor] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neural_network/_multilayer_perceptron.py:690: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (10) reached and the optimization hasn't converged yet. warnings.warn( sklearn/neural_network/tests/test_mlp.py::test_mlp_warm_start_with_early_stopping[MLPRegressor] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neural_network/_multilayer_perceptron.py:690: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (20) reached and the optimization hasn't converged yet. warnings.warn( sklearn/preprocessing/tests/test_common.py::test_missing_value_handling[est0-maxabs_scale-True-False-omit_kwargs0] sklearn/preprocessing/tests/test_common.py::test_missing_value_handling[est0-maxabs_scale-True-False-omit_kwargs0] sklearn/preprocessing/tests/test_common.py::test_missing_value_handling[est3-scale-True-False-omit_kwargs3] sklearn/preprocessing/tests/test_common.py::test_missing_value_handling[est3-scale-True-False-omit_kwargs3] sklearn/preprocessing/tests/test_common.py::test_missing_value_handling[est6-quantile_transform-True-False-omit_kwargs6] sklearn/preprocessing/tests/test_common.py::test_missing_value_handling[est6-quantile_transform-True-False-omit_kwargs6] sklearn/preprocessing/tests/test_common.py::test_missing_value_handling[est8-robust_scale-True-False-omit_kwargs8] sklearn/preprocessing/tests/test_common.py::test_missing_value_handling[est8-robust_scale-True-False-omit_kwargs8] /usr/lib64/python3.13/site-packages/scipy/sparse/_dia.py:75: SparseEfficiencyWarning: Constructing a DIA matrix with 115 diagonals is inefficient A = self._coo_container(arg1, dtype=dtype, shape=shape).todia() sklearn/preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2] sklearn/preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/extmath.py:1137: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/extmath.py:1142: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/extmath.py:1162: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2785: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2785: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2785: UserWarning: n_quantiles (10) is greater than the total number of samples (3). n_quantiles is set to n_samples. warnings.warn( sklearn/preprocessing/tests/test_data.py::test_quantile_transform_nan /usr/lib64/python3.13/site-packages/numpy/lib/nanfunctions.py:1563: RuntimeWarning: All-NaN slice encountered return function_base._ureduce(a, sklearn/preprocessing/tests/test_discretization.py::test_fit_transform[quantile-expected5-sample_weight5] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_discretization.py:307: UserWarning: Bins whose width are too small (i.e., <= 1e-8) in feature 0 are removed. Consider decreasing the number of bins. warnings.warn( sklearn/preprocessing/tests/test_discretization.py::test_fit_transform[quantile-expected5-sample_weight5] sklearn/preprocessing/tests/test_discretization.py::test_fit_transform_n_bins_array[quantile-expected4-sample_weight4] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_discretization.py:307: UserWarning: Bins whose width are too small (i.e., <= 1e-8) in feature 1 are removed. Consider decreasing the number of bins. warnings.warn( sklearn/preprocessing/tests/test_discretization.py::test_fit_transform[quantile-expected5-sample_weight5] sklearn/preprocessing/tests/test_discretization.py::test_fit_transform_n_bins_array[quantile-expected4-sample_weight4] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_discretization.py:307: UserWarning: Bins whose width are too small (i.e., <= 1e-8) in feature 2 are removed. Consider decreasing the number of bins. warnings.warn( sklearn/preprocessing/tests/test_discretization.py::test_fit_transform[quantile-expected5-sample_weight5] sklearn/preprocessing/tests/test_discretization.py::test_fit_transform_n_bins_array[quantile-expected4-sample_weight4] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_discretization.py:307: 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/svm/tests/test_svm.py::test_svc_nonfinite_params /usr/lib64/python3.13/site-packages/numpy/core/_methods.py:152: RuntimeWarning: overflow encountered in reduce arrmean = umr_sum(arr, axis, dtype, keepdims=True, where=where) 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py:1415: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/naive_bayes.py:509: RuntimeWarning: divide by zero encountered in log jointi = np.log(self.class_prior_[i]) sklearn/tests/test_common.py: 22 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/_bicluster.py:31: RuntimeWarning: divide by zero encountered in divide row_diag = np.asarray(1.0 / np.sqrt(X.sum(axis=1))).squeeze() sklearn/tests/test_common.py::test_estimators[SpectralCoclustering()-check_estimator_sparse_array] sklearn/tests/test_common.py::test_estimators[SpectralCoclustering()-check_estimator_sparse_matrix] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/_bicluster.py:352: RuntimeWarning: invalid value encountered in multiply z = np.vstack((row_diag[:, np.newaxis] * u, col_diag[:, np.newaxis] * v)) sklearn/tests/test_common.py: 12 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_pca.py:591: RuntimeWarning: invalid value encountered in divide explained_variance_ = (S**2) / (n_samples - 1) sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[AffinityPropagation()] sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[AffinityPropagation()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/_affinity_propagation.py:142: ConvergenceWarning: Affinity propagation did not converge, this model may return degenerate cluster centers and labels. warnings.warn( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006076933278708063, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006516772094172785, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006916869207389542, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007282278233888828, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007609219502512921, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007894792377674265, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008136999927901012, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008334724342997091, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008487677112926639, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008596329247329837, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008661826900739633, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008685897580846258, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008670751690550982, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008618983558484894, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008533475420064995, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008417307081676206, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008273673282850058, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008105810103069544, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007916931166833951, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007710173895061068, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.000748855564259715, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007254939244647901, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007012007266828796, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006762244102446052, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006507924977437463, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006251110891998535, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005993648542919477, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005737174313669158, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005483121488565057, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.000523272992734039, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0004987057525274036, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0004746992876414474, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00045132686442951597, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0004286475231071313, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00040670744120112345, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00038554126732147365, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00036517340516163677, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04035513072498542, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.07739310570162417, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09902515325135752, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11518341998169035, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.12984038092936334, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.14436772132100284, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1592099063083552, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.17448303501280016, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19018272764259425, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.20625795624131182, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.22263859368161665, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2392466077534081, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2560012831408134, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.27282214368883295, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.28963089256408114, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.3063528458890614, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.32291803203494407, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.3392620214470927, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.3553265168901083, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.37105972538394916, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.3864165333921128, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.4013585092813656, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.4158537591795586, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.4298766632829798, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.4434075192965654, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.45643211820954965, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.4689412752938913, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.4809303363707449, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.4923986762820167, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5033492033669749, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5137878807313578, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5237232723442964, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5331661195589876, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.542128951580354, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5506257316836467, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5586715396151298, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5662822895504176, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5734744822045017, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5802649891424383, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5866708669860627, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5927091990239428, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5983969616552116, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6037509131153143, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6087875020227491, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6135227934126801, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6179724100830253, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6221514872566933, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6260746387433422, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6297559329634836, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6332088773749005, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6364464100049694, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6394808969440713, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6423241347969797, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6449873572211868, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6474812447870155, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6498159375073227, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6520010494688058, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.654045685077886, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0033973144978034497, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.02004883811054281, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.025541531207328383, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.02889409210257554, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03192449250641438, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03490683655472182, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.037871226543455094, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04080995267698562, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043710267541955616, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.046559814558000845, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04934758250132276, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.052064076109124, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.054701322163716704, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.057252822572108286, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.059713479152287086, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06207949934546253, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06434828891725886, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.07263247515648708, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.07717723067374038, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.08020143195953278, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.08276447207213078, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.08511690453330623, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.08732063451582661, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.08939355028012486, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09134338050751012, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09317565303737751, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09489553166002818, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09650819456470217, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09801886862586784, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09943278863973326, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10075514665169916, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1019910466313858, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10314546740940234, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10422323372886222, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10522899453686829, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.106167207518431, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10704212890942433, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10785780770904463, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10861808350531987, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10932658722159072, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10998674418412158, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11060177899431523, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11117472176754806, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11170841537177445, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11220552335909328, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11266853833877022, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11309979058952369, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11350145674598977, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11387556843075775, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11422402073437876, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1145485804634534, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11485089410787896, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11513249548147009, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11539481301522869, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11563917668669355, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11586682457826747, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11607890906684304, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1162765026463548, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11646060339775488, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11663214011167522, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11679197708452449, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11694091859810918, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11707971309904419, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11720905709796181, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11732959880202021, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11744194149378995, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11754664667879133, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11764423701263116, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11773519902114504, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[FastICA()] sklearn/tests/test_common.py::test_transformers_get_feature_names_out[FastICA()] sklearn/tests/test_common.py::test_set_output_transform[FastICA()] sklearn/tests/test_common.py::test_set_output_transform[FastICA()] sklearn/tests/test_common.py::test_set_output_transform[FastICA()] sklearn/tests/test_common.py::test_set_output_transform[FastICA()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_fastica.py:128: ConvergenceWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations. warnings.warn( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[GammaRegressor()] sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[PoissonRegressor()] sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[TweedieRegressor()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_glm/glm.py:283: ConvergenceWarning: lbfgs failed to converge (status=1): STOP: TOTAL NO. of ITERATIONS REACHED LIMIT. Increase the number of iterations (max_iter) or scale the data as shown in: https://scikit-learn.org/stable/modules/preprocessing.html self.n_iter_ = _check_optimize_result("lbfgs", opt_res) sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LabelSpreading()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/semi_supervised/_label_propagation.py:322: ConvergenceWarning: max_iter=5 was reached without convergence. warnings.warn( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0018789191204376943, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0018738259168481486, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0018351321319091674, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0017874547248065142, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0017331374953183376, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.001673914217037803, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0016112314182004928, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.001546292755809281, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0014800943557782276, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0014134552651264842, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0013470437067324426, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0012813996993960575, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0012169545310702357, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0011540475087361557, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.001092940352155236, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0010338295502070327, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00097685695612304, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0009221188612074382, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.000869673754802347, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008195489504612963, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007717462343129616, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007262466707396165, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006830146822992544, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006420015051591121, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00060314810767928, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005663876478951835, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005316475354104483, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0004988511543336516, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0004679192961509482, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00043877134470760026, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00041132624976733534, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00038550332049053226, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00036122286589555797, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.004986280909063723, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09643621762329069, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1760950862385311, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.22927967012756323, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.26213132956970764, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2813474763012449, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.29175673828637017, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2965432830630004, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.29775015112090486, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2966791357379259, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2941616541072918, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2907328896963177, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.28674142724287766, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2824176858810574, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2779165329444746, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2733438643872885, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.26877326923744516, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2642565671977497, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.25983055466560145, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.255521394876153, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2513475342968583, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2473216878636615, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.24345222776746045, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.23974418329664626, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.23619998135849762, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2328200095220545, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.22960305400875214, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.22654664684812964, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2236473450530081, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.22090095749606053, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.21830273058073946, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.21584750079801296, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.21352982026154876, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.21134405993282357, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.20928449427635165, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.20734537036978917, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.20552096395717, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.20380562451503348, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.20219381106945367, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.20068012023263027, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1992593077012348, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19792630428067692, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19667622732876033, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1955043883985006, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1944062977231562, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19337766611010387, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19241440471401017, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19151262309244554, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19066862588689748, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18987890841773591, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18914015143727614, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18844921524572023, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18780313334012977, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18719910574804643, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18663449215053074, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1861068049091541, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1856137020662958, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18515298039014194, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18472256851280644, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18432052020998313, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18394500785181833, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18359431604245025, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.039842684284843166, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05851081477217601, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06513631356301985, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06742419289123358, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06808786689476509, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06802484903315964, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06755324525423934, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0668082109822592, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06586390877525616, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06477098619775834, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06356849852380986, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06228810411039021, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.060955876983946666, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.059593336798026364, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05821818006137036, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05684486444106973, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.055485098709086245, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05982239114163512, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06252617668813976, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.062463080792346304, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06157604152734386, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06045585612969173, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05928280813092357, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05811438845059058, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05697091557796519, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0558609283710112, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05478879013875915, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05375704137616033, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05276719241542516, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05182004299263987, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.050915850055502254, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05005443995980574, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04923529482742062, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048457623139410266, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04772041866997334, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04702250996032298, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04636260183611629, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04573931015078614, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04515119074272711, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04459676344857044, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044074531896315605, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043582999702953096, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043120683612223765, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04268612403610561, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04227789339807764, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04189460261832245, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.041534906037494324, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.041197505028673476, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04088115051390062, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.040584644571769246, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.040306841290586704, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04004664700529226, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03980302003001057, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03957496998556831, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.039361556803200415, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03916188947426402, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.038975124606940525, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0388004648357132, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03863715712878335, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.038484491025082335, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03834179683027106, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03820844379624866, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03808383830299, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03796742205703385, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03785867031951007, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03775709017605422, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03766221885377341, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03757362208834358, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03749089255502813, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.037413648354197804, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03734153156279163, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MLPClassifier()] sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MLPRegressor()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neural_network/_multilayer_perceptron.py:690: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. warnings.warn( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MiniBatchNMF()] sklearn/tests/test_common.py::test_transformers_get_feature_names_out[MiniBatchNMF()] sklearn/tests/test_common.py::test_set_output_transform[MiniBatchNMF()] sklearn/tests/test_common.py::test_set_output_transform[MiniBatchNMF()] sklearn/tests/test_common.py::test_set_output_transform[MiniBatchNMF()] sklearn/tests/test_common.py::test_set_output_transform[MiniBatchNMF()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:2341: ConvergenceWarning: Maximum number of iterations 20 reached. Increase it to improve convergence. warnings.warn( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006076933278707508, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006516772094170564, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006916869207380105, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.000728227823389993, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007609219502493492, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.000789479237767704, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008136999927917388, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008334724343009858, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008487677112923309, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008596329247339274, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008661826900742409, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008685897580830715, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008670751690549872, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008618983558481008, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008533475420068604, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008417307081682035, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008273673282853389, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.000810581010308703, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007916931166841723, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007710173895054684, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.000748855564259493, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.000725493924466844, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007012007266822967, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006762244102444664, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006507924977423168, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006251110892012274, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005993648542916008, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005737174313646398, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005483121488584208, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005232729927335256, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0004987057525296101, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0004746992876412254, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00045132686442914127, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0004286475231076031, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.000406707441202081, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0003855412673230002, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0003651734051638711, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0403551307249872, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0773931057016215, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09902515325136019, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11518341998168413, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.12984038092936956, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1443677213209984, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.15920990630835785, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.17448303501280282, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1901827276425987, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.20625795624131893, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.22263859368162375, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2392466077534019, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.25600128314080806, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2728221436888525, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2896308925640829, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.3063528458890712, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.3229180320349636, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.3392620214471158, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.3553265168901154, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.3710597253839749, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.38641653339215676, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.40135850928140826, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.4158537591795861, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.429876663283018, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.4434075192965894, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.45643211820953233, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.4689412752939357, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.4809303363708164, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.4923986762820798, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5033492033670552, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5137878807314857, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5237232723444891, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5331661195590103, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.542128951580485, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5506257316838057, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5586715396152089, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5662822895504545, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5734744822047815, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5802649891426435, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5866708669861667, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5927091990241111, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5983969616553813, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6037509131154581, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6087875020229672, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6135227934127734, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6179724100830781, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6221514872570055, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6260746387435967, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6297559329637439, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6332088773751736, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6364464100053797, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6394808969444039, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.642324134797402, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6449873572215581, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6474812447878131, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6498159375080168, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6520010494685282, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.654045685078962, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0033973144978078906, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.020048838110541922, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.025541531207331936, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.028894092102578206, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.031924492506412605, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034906836554720044, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.037871226543459535, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04080995267698295, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04371026754195473, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04655981455799818, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049347582501321874, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05206407610911601, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.054701322163710486, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05725282257210296, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.059713479152287086, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06207949934546253, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06434828891725353, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.07263247515647642, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.07717723067373683, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.08020143195953544, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.08276447207213966, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0851169045333009, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.08732063451581151, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.08939355028011509, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09134338050750923, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09317565303735353, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0948955316600193, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0965081945646622, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09801886862584563, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09943278863969329, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10075514665168583, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10199104663132808, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10314546740941388, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10422323372882403, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10522899453682655, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10616720751834752, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10704212890940834, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10785780770904907, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10861808350527458, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10932658722153743, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10998674418411891, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11060177899422818, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11117472176742638, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11170841537168297, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11220552335897693, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11266853833863077, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11309979058945618, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1135014567457695, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11387556843073643, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11422402073416027, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11454858046324468, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11485089410770044, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11513249548143012, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11539481301493204, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11563917668644752, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11586682457818931, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11607890906673823, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11627650264615408, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11646060339753106, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11663214011125778, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11679197708432021, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11694091859746347, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11707971309857346, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11720905709750262, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1173295988018106, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11744194149324905, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11754664667818471, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11764423701229276, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1177351990206148, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00187891912043886, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0018738259168483706, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0018351321319099168, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0017874547248071804, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0017331374953181988, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0016739142170393573, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0016112314182011866, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.001546292755809281, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.001480094355779421, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0014134552651263732, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0013470437067341634, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0012813996993950583, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0012169545310704022, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0011540475087365443, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0010929403521555692, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0010338295502073935, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.000976856956123054, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0009221188612081599, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008696737548036793, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.000819548950460755, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007717462343125314, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007262466707410181, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006830146822999345, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006420015051592232, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006031481076799877, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005663876478953084, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005316475354097822, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0004988511543355667, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0004679192961516976, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0004387713447084052, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0004113262497686676, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0003855033204900743, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00036122286589351793, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.004986280909061058, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09643621762328802, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.17609508623853198, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.22927967012756412, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2621313295697103, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2813474763012609, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.29175673828637105, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2965432830629977, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.29775015112091463, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.29667913573794635, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2941616541072989, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2907328896963195, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2867414272428963, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2824176858810503, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.277916532944511, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2733438643873063, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.26877326923746025, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2642565671977497, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2598305546656272, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2555213948761681, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2513475342968725, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.24732168786369968, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2434522277674933, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.23974418329664537, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.23619998135855802, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.23282000952213622, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2296030540088072, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2265466468481856, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.22364734505302586, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.22090095749619465, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2183027305808558, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.21584750079813286, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.21352982026166245, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.21134405993290972, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2092844942764822, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.20734537036991085, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.20552096395725528, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2038056245150468, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.20219381106957002, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.20068012023271642, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19925930770157052, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19792630428075153, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19667622732903745, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19550438839864537, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19440629772337026, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1933776661103055, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19241440471431304, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19151262309272088, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19066862588708844, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18987890841789312, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18914015143770868, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18844921524565983, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18780313334055077, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18719910574841503, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18663449215082828, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18610680490952092, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18561370206677186, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18515298039071748, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18472256851315993, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18432052021068035, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18394500785188228, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18359431604338106, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.039842684284838725, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05851081477217335, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06513631356302074, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06742419289123625, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06808786689476332, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06802484903315698, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0675532452542349, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0668082109822592, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06586390877525705, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06477098619775479, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0635684985238063, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06228810411038843, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06095587698393956, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05959333679802192, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.058218180061373914, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.056844864441063514, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05548509870907292, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.059822391141619136, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0625261766881362, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06246308079235785, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06157604152733143, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06045585612966864, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05928280813091735, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05811438845057282, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0569709155779643, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.055860928370993435, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05478879013875204, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0537570413761399, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.052767192415421604, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05182004299260523, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05091585005549426, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05005443995977199, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049235294827383314, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04845762313938895, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.047720418669946696, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.047022509960299885, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.046362601836070105, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045739310150748835, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045151190742696024, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04459676344853847, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044074531896300506, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043582999702914016, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04312068361210919, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04268612403608785, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04227789339799681, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0418946026182212, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.041534906037395736, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04119750502853581, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04088115051388641, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04058464457168309, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.040306841290518314, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.040046647005108404, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.039803020029984815, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03957496998554877, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03936155680301123, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03916188947404464, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.038975124606711375, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.038800464835540005, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0386371571287949, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.038484491024960654, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.038341796830141384, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03820844379608079, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.038083838302895856, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03796742205662618, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.037858670319180554, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.037757090175784214, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03766221885317478, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0375736220880194, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03749089255478655, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03741364835401573, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03734153156216369, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[Nystroem()] 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/kernel_approximation.py:1008: 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_check_n_features_in_after_fitting[QuadraticDiscriminantAnalysis()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/discriminant_analysis.py:947: UserWarning: Variables are collinear warnings.warn("Variables are collinear") sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[QuantileTransformer()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2785: UserWarning: n_quantiles (1000) is greater than the total number of samples (10). n_quantiles is set to n_samples. warnings.warn( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[SGDOneClassSVM()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_stochastic_gradient.py:2542: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit. warnings.warn( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[SelfTrainingClassifier(base_estimator=LogisticRegression(C=1))] sklearn/tests/test_metaestimators.py::test_metaestimator_delegation /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/semi_supervised/_self_training.py:227: UserWarning: y contains no unlabeled samples warnings.warn("y contains no unlabeled samples", UserWarning) sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[TheilSenRegressor()] sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[TheilSenRegressor()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor. warnings.warn( sklearn/tests/test_common.py::test_transformers_get_feature_names_out[Isomap()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/manifold/_isomap.py:383: 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[QuantileTransformer()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2785: 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_f_contiguous_array_estimator[Isomap] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/manifold/_isomap.py:359: 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/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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2785: 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[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.013600403306909925, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03665116082126474, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.040332571379138926, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.042338287573556954, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04399714422718404, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0453915031566936, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04655165148312079, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.047504257032201735, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048273864880044925, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04888295807548815, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04935201401120537, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04969958357784776, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04994238724835043, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05009542273020173, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05017207971273052, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0501842580428189, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05014248637937868, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05005603901084754, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04993304906687257, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04978061682042778, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04960491216844787, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049411270700723264, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0492042830283097, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048987877252791634, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0487653946186839, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04853965851589237, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04831303709102741, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048087499789268406, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.047864668191749615, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04764586153759609, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04743213733012652, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04722432742701699, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.047023070006474654, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.046828837784730126, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.046641962846400986, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.046462658422044, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.046291037930210166, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.046127131574010605, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04597090076052979, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04582225058617695, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045681040612699064, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045547094132786015, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04542020610754349, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04530014993860476, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045186683218972234, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045079552594458505, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04497849784791441, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044883255312342385, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044793560699559976, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04470915142438514, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04462976849809053, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04455515804885124, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044485072521489144, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044419271609719146, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04435752295592721, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04429960265618149, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04424529560595403, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04419439569975481, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04414670592716874, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044102038368627916, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044060214116868224, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04402106313521159, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043984424067019745, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043950144009222925, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04391807825059857, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043888089987724754, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0438600500359243, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043833836517656266, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04380933454928737, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04378643592678344, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04376503881808702, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04374504744347263, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04372637178159522, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04370892726333864, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04369263448816696, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04367741894232324, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04366321073259627, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04364994432637559, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04363755829844962, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04362599509759946, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04361520082290582, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043605125003821854, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043595720392701764, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04358694277378561, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04357875078245854, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04357110572059497, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043563971406797464, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.02242199605876749, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048236309604121175, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.051523864985554724, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05256396561011201, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.053171065529816985, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05349220795529419, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05358147192696805, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05348196852555276, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05323022641040609, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05285720874947941, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.052389095282755704, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05184795600124659, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05125233361101067, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.050617746951573395, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04995712587911072, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04928118674135362, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04859875636764599, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04791705145461833, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.047241919318878445, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.046578045200298845, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045929130613068025, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04529804664741732, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044686965607617424, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044097473920999164, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04353066886611856, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04298724132526388, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04246754647532214, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.041971664074210935, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04149944977886122, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.041050578738079935, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04062458253694956, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04022088042297156, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03983880562223874, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03947762743804617, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03913656974014401, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03881482635754452, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03851157382970172, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03822598190090787, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03795722209190444, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03770447463743665, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03746693403578405, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0372438134271178, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03703434797959204, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03683779744267213, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03665344800307224, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03648061355806931, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03631863650380751, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03616688812658708, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03602476866501547, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03589170710669265, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03576716077150621, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03565061472404807, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03554158105376359, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03543959805430319, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03534422932696657, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03525506283255453, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03517170990703988, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03509380425819586, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.035021000956639625, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034952975429632716, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034889422462271114, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034830055225448575, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03477460431757606, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03472281683969669, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034674455497992085, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03462929774021717, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03458713492490517, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03454777152528976, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03451102436820719, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03447672191178697, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034444703548167865, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0344148189593767, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034386927477925155, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03436089751588156, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03433660599020527, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03431393780997638, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03429278536339808, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03427304806398723, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03425463189769573, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03423744900828041, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03422141730968775, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0342064601074199, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03419250576637012, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03417948737626375, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0341673424400355, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034156012612037046, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03414544339510428, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.013600403306909925, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.036651160821271844, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04033257137916024, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0423382875736209, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04399714422719114, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04539150315670071, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04655165148309237, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04750425703219463, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04827386488005203, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04888295807553078, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049352014011248, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04969958357787618, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04994238724839306, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05009542273018752, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05017207971274473, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.050184258042868635, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0501424863794, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05005603901084754, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04993304906688678, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049780616820470414, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04960491216854024, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04941127070079432, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0492042830283026, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04898787725286269, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048765394618769164, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04853965851595632, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04831303709109136, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048087499789332355, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04786466819189883, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.047645861537745304, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04743213733021889, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04722432742719462, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.047023070006645185, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04682883778481539, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04664196284659994, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04646265842220032, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0462910379303878, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.046127131574245084, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045970900760735844, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045822250586354585, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045681040612898016, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04554709413292102, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045420206107820604, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04530014993879661, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045186683219171186, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045079552594707195, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044978497848205734, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04488325531269055, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04479356069984419, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044709151424626725, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04462976849841027, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04455515804941257, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04448507252178047, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04441927160981862, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04435752295574247, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04429960265680677, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04424529560667878, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04419439570062167, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044146705928000074, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04410203836916082, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04406021411746508, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0440210631354816, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043984424067453176, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04395014401035979, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04391807825034988, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04388808998876925, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04386005003743776, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04383383651893524, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043809334549202106, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0437864359277782, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043765038820502866, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043745047446414276, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04372637178289551, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04370892726500131, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04369263449021332, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04367741894387933, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04366321073580792, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043649944329970936, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04363755830249971, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04362599510142218, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04361520082640169, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04360512500886671, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04359572039515314, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04358694277777886, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04357875078998319, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04357110572535561, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04356397141301471, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0224219960587817, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04823630960414249, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.051523864985583145, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05256396561012622, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05317106552984541, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05349220795534393, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05358147192694673, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.053481968525559864, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0532302264104203, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05285720874952915, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.052389095282755704, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05184795600128922, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05125233361098225, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05061774695154497, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049957125879132036, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049281186741396255, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0485987563676602, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04791705145463965, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04724191931888555, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04657804520035569, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04592913061312487, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04529804664756654, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04468696560763874, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04409747392099206, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04353066886614698, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.042987241325320724, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04246754647547846, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04197166407433883, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.041499449778854114, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04105057873822204, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.040624582537006404, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04022088042307814, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03983880562217479, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03947762743818117, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.039136569740371385, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03881482635760847, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.038511573829829615, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.038225981900957606, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03795722209210339, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.037704474637500596, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.037466934035983, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.037243813427267014, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03703434797978389, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0368377974430345, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03665344800343462, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03648061355829668, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03631863650398515, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03616688812692814, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03602476866547022, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.035891707107133186, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03576716077192543, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03565061472443887, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03554158105399097, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.035439598054637145, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03534422932775527, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03525506283295243, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.035171709907587, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03509380425856534, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03502100095762728, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03495297542983167, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0348894224627756, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034830055225803846, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03477460431826529, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034722816840250914, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03467445549875947, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0346292977413043, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03458713492600651, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034547771525687665, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03451102436935827, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03447672191220619, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03444470354968843, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03441481895962539, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034386927479680196, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034360897516513944, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034336605992173475, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03431393781036007, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03429278536372493, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03427304806670861, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034254631900068944, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03423744901126469, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03422141730960959, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03420646010854966, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03419250577065469, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03417948737720167, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034167342443133464, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03415601261266943, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03414544339666037, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[QuantileTransformer()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2785: 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_config.py::test_config_threadsafe_joblib[multiprocessing] sklearn/tests/test_config.py::test_config_threadsafe_joblib[multiprocessing] sklearn/utils/tests/test_parallel.py::test_configuration_passes_through_to_joblib[multiprocessing-2] sklearn/utils/tests/test_parallel.py::test_configuration_passes_through_to_joblib[multiprocessing-2] /usr/lib64/python3.13/multiprocessing/popen_fork.py:67: DeprecationWarning: This process (pid=13919) is multi-threaded, use of fork() may lead to deadlocks in the child. self.pid = os.fork() sklearn/tests/test_discriminant_analysis.py::test_qda_regularization sklearn/tests/test_discriminant_analysis.py::test_qda_regularization /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/discriminant_analysis.py:972: RuntimeWarning: invalid value encountered in multiply X2 = np.dot(Xm, R * (S ** (-0.5))) 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:320: 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_multiclass.py::test_constant_int_target[ones] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/multiclass.py:87: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/multiclass.py:87: UserWarning: Label not 0 is present in all training examples. warnings.warn( sklearn/tests/test_multioutput.py::test_classifier_chain_vs_independent_models sklearn/tests/test_multioutput.py::test_classifier_chain_vs_independent_models sklearn/tests/test_multioutput.py::test_base_chain_crossval_fit_and_predict[classifier-predict] sklearn/tests/test_multioutput.py::test_base_chain_crossval_fit_and_predict[classifier-predict_proba] sklearn/tests/test_multioutput.py::test_base_chain_crossval_fit_and_predict[classifier-predict_log_proba] sklearn/tests/test_multioutput.py::test_base_chain_crossval_fit_and_predict[classifier-decision_function] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Jaccard is ill-defined and being set to 0.0 in samples with no true or predicted labels. Use `zero_division` parameter to control this behavior. _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result)) sklearn/tests/test_naive_bayes.py::test_alpha_vector sklearn/tests/test_naive_bayes.py::test_alpha_vector /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/naive_bayes.py:620: UserWarning: alpha too small will result in numeric errors, setting alpha = 1.0e-10. Use `force_alpha=True` to keep alpha unchanged. warnings.warn( sklearn/tree/tests/test_tree.py: 14 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/tree/_classes.py:1078: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/_array_api.py:745: 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/tree/tests/test_tree.py:1788: RuntimeWarning: overflow encountered in cast data = np.nan_to_num(data.astype("float32")) sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None] sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None] sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_matrix] sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_array] /usr/lib64/python3.13/site-packages/numpy/core/fromnumeric.py:88: RuntimeWarning: invalid value encountered in reduce return ufunc.reduce(obj, axis, dtype, out, **passkwargs) sklearn/utils/tests/test_estimator_checks.py: 14 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight. warnings.warn(str(exception), SkipTestWarning) sklearn/utils/tests/test_estimator_checks.py: 16 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: pandas is not installed: not checking estimators for pandas objects. warnings.warn(str(exception), SkipTestWarning) sklearn/utils/tests/test_estimator_checks.py::test_check_estimator /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: Skipping check_sample_weights_invariance for TaggedBinaryClassifier: zero sample_weight is not equivalent to removing samples warnings.warn(str(exception), SkipTestWarning) 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: Skipping check_sample_weights_invariance for SGDClassifier: zero sample_weight is not equivalent to removing samples warnings.warn(str(exception), SkipTestWarning) 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: array_api_compat is not installed: not checking array_api input warnings.warn(str(exception), SkipTestWarning) 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: array_api_strict is not installed: not checking array_api input warnings.warn(str(exception), SkipTestWarning) 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: cupy is not installed: not checking array_api input warnings.warn(str(exception), SkipTestWarning) 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: cupy.array_api is not installed: not checking array_api input warnings.warn(str(exception), SkipTestWarning) 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: torch is not installed: not checking array_api input warnings.warn(str(exception), SkipTestWarning) 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: ExtraTreesClassifier does not have a decision_function method. warnings.warn(str(exception), SkipTestWarning) 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: Skipping check_sample_weights_invariance for MiniBatchKMeans: zero sample_weight is not equivalent to removing samples warnings.warn(str(exception), SkipTestWarning) 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-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/optimize.py:311: UserWarning: Line Search failed warnings.warn("Line Search failed") -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html = 29589 passed, 4588 skipped, 54 deselected, 91 xfailed, 50 xpassed, 4307 warnings in 1175.92s (0:19:35) = RUNNING THE L-BFGS-B CODE * * * Machine precision = 2.220D-16 N = 2 M = 10 * * * Tit = total number of iterations Tnf = total number of function evaluations Tnint = total number of segments explored during Cauchy searches Skip = number of BFGS updates skipped Nact = number of active bounds at final generalized Cauchy point Projg = norm of the final projected gradient F = final function value * * * N Tit Tnf Tnint Skip Nact Projg F 2 5 7 1 0 0 5.264D-05 -3.750D-01 CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL RUNNING THE L-BFGS-B CODE * * * Machine precision = 2.220D-16 N = 2 M = 10 At X0 0 variables are exactly at the bounds At iterate 0 f= -2.66378D-01 |proj g|= 1.16272D-01 At iterate 1 f= -3.72773D-01 |proj g|= 3.44540D-02 At iterate 2 f= -3.74743D-01 |proj g|= 1.18567D-02 At iterate 3 f= -3.74922D-01 |proj g|= 5.40689D-03 At iterate 4 f= -3.75000D-01 |proj g|= 4.08881D-04 At iterate 5 f= -3.75000D-01 |proj g|= 5.26385D-05 * * * Tit = total number of iterations Tnf = total number of function evaluations Tnint = total number of segments explored during Cauchy searches Skip = number of BFGS updates skipped Nact = number of active bounds at final generalized Cauchy point Projg = norm of the final projected gradient F = final function value * * * N Tit Tnf Tnint Skip Nact Projg F 2 5 7 1 0 0 5.264D-05 -3.750D-01 F = -0.37499999475400758 CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL This problem is unconstrained. This problem is unconstrained. + popd ~/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2 + RPM_EC=0 ++ jobs -p + exit 0 Processing files: python3-scikit-learn-1.5.2-4.fc42.ppc64le Executing(%doc): /bin/sh -e /var/tmp/rpm-tmp.xBcwBk + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build + cd scikit_learn-1.5.2 + DOCDIR=/builddir/build/BUILD/python-scikit-learn-1.5.2-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-1.5.2-build/BUILDROOT/usr/share/doc/python3-scikit-learn + cp -pr /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/examples /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/share/doc/python3-scikit-learn + RPM_EC=0 ++ jobs -p + exit 0 Executing(%license): /bin/sh -e /var/tmp/rpm-tmp.tbRdKO + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build + cd scikit_learn-1.5.2 + LICENSEDIR=/builddir/build/BUILD/python-scikit-learn-1.5.2-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-1.5.2-build/BUILDROOT/usr/share/licenses/python3-scikit-learn + cp -pr /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/COPYING /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/share/licenses/python3-scikit-learn + cp -pr /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/svm/src/liblinear/COPYRIGHT /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/share/licenses/python3-scikit-learn + RPM_EC=0 ++ jobs -p + exit 0 Provides: python-scikit-learn = 1.5.2-4.fc42 python-sklearn = 1.5.2-4.fc42 python3-scikit-learn = 1.5.2-4.fc42 python3-scikit-learn(ppc-64) = 1.5.2-4.fc42 python3.13-scikit-learn = 1.5.2-4.fc42 python3.13-sklearn = 1.5.2-4.fc42 python3.13dist(scikit-learn) = 1.5.2 python3dist(scikit-learn) = 1.5.2 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PartialHardlinkSets) <= 4.0.4-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Requires: libc.so.6()(64bit) libc.so.6(GLIBC_2.17)(64bit) libc.so.6(GLIBC_2.32)(64bit) libc.so.6(GLIBC_ABI_DT_RELR)(64bit) libgcc_s.so.1()(64bit) libgcc_s.so.1(GCC_3.0)(64bit) libgcc_s.so.1(GCC_3.3.1)(64bit) libgomp.so.1()(64bit) libgomp.so.1(GOMP_1.0)(64bit) libgomp.so.1(GOMP_4.0)(64bit) libgomp.so.1(OMP_1.0)(64bit) libgomp.so.1(OMP_3.0)(64bit) libm.so.6()(64bit) libm.so.6(GLIBC_2.17)(64bit) libm.so.6(GLIBC_2.23)(64bit) libm.so.6(GLIBC_2.27)(64bit) libm.so.6(GLIBC_2.29)(64bit) libstdc++.so.6()(64bit) libstdc++.so.6(CXXABI_1.3)(64bit) libstdc++.so.6(CXXABI_1.3.8)(64bit) libstdc++.so.6(CXXABI_1.3.9)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.29)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(64bit) python(abi) = 3.13 python3.13dist(joblib) >= 1.2 python3.13dist(numpy) >= 1.19.5 python3.13dist(scipy) >= 1.6 python3.13dist(threadpoolctl) >= 3.1 rtld(GNU_HASH) Obsoletes: python-sklearn < 1.5.2-4.fc42 python3-scikit_learn < 1.5.2-2 Processing files: python-scikit-learn-debugsource-1.5.2-4.fc42.ppc64le Provides: python-scikit-learn-debugsource = 1.5.2-4.fc42 python-scikit-learn-debugsource(ppc-64) = 1.5.2-4.fc42 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Processing files: python3-scikit-learn-debuginfo-1.5.2-4.fc42.ppc64le Provides: debuginfo(build-id) = 0c83f9489329cf3e1ded50d7ff2a72e3daa78e6d debuginfo(build-id) = 14877bbacc6bdfaf1ec8d6352484c5f2b0da911d debuginfo(build-id) = 14e573d94251f8b526aa4e36dd615c06bfe77bf2 debuginfo(build-id) = 1676289aa21bc169bdaaa59b504890adfe8f044a debuginfo(build-id) = 170253e9b0504b3278dd1c982715c4bd9ab55b0d debuginfo(build-id) = 1d52ea978d4a7ec2dde1cc44d19c87a4f6cae58f debuginfo(build-id) = 24389533751ca927a851cbfb81c8b94a4a1b3451 debuginfo(build-id) = 2720bb9bc3c81881b8f099deeb1ebe28fc799740 debuginfo(build-id) = 2a97668bcba26d256cdb4ae775dc788328a68d99 debuginfo(build-id) = 2af6a3b4993b4eaaf9b7aaec591d974cfe3d6d92 debuginfo(build-id) = 2c80369ffadea858ff819c3eb0a048a1ad795c3a debuginfo(build-id) = 2da941b54d9f87d6ca6414e4e55fbef8ff92b3de debuginfo(build-id) = 2e6f0d0f6a9d66a182052c09a1134051115281de debuginfo(build-id) = 335303515a8e0be5d86d2a84daa27a38b95dfd7a debuginfo(build-id) = 3df0e733f5c707d6410f6f9b7018e5d214bec96e debuginfo(build-id) = 3f48e4f7cac2191e7c2efc75464b1af70e09247b debuginfo(build-id) = 419ef7e34607354f48c3ff515747461b4a49f93c debuginfo(build-id) = 440da7319761e3993ee9ed8b11b2123b81ff5226 debuginfo(build-id) = 484666d34831ac7e9b8be3924567b97f5e2f20c3 debuginfo(build-id) = 50b3a735877f6ff9d57f8440dddc49e57711ec0a debuginfo(build-id) = 51586284fcaa0f9068a7a2aec45c38be3fdabe71 debuginfo(build-id) = 5182df996e5e13088a0d0fca3cebbfcf3c72d9ba debuginfo(build-id) = 5c3e0dcd1fe7794a97111a664361ae01b5c41c28 debuginfo(build-id) = 5fa7e27c2bb56107779b3316c10bbe4da1f4ba9e debuginfo(build-id) = 7162b7f0323e7be66206afdae0e70231da6a0a28 debuginfo(build-id) = 73539e5f3374b618c8aba353d27aa4b9b07ed7c3 debuginfo(build-id) = 7380dc97514d339e3c8e9076b0e05887553aed4e debuginfo(build-id) = 77730eeb695775dc3ea575edcaf7f46e59bcd8f2 debuginfo(build-id) = 806a4ec1911269fe41c41033064daf1c739285c5 debuginfo(build-id) = 82c626014789b85cecb07167cba5f48782503ba3 debuginfo(build-id) = 83f296f6ee6632393d8b2ab4508bcf8b26e22c0c debuginfo(build-id) = 87892f37cfe1a6036b69c36b50f9d6bbf5639fe6 debuginfo(build-id) = 8ba3f0713ffbea92abd3dd70f6e6feb55e23095a debuginfo(build-id) = 8c283289fe38b51b11c061e93c146d5a38ca7d6f debuginfo(build-id) = 8c65184ff6e9802f0518251888888cc2ad91997a debuginfo(build-id) = 9e17349290db4023fa498a508a5cfdcf0a69583b debuginfo(build-id) = 9ed490d820aaa348b06ec5a8150b6ff399fc2cdc debuginfo(build-id) = 9f9e4785fa161adf01f0a6daeaa16c83ce729ef3 debuginfo(build-id) = a1bb165baa36fd37b4da8ba8c5ea90f6a06215ed debuginfo(build-id) = a274ae6d011cb509a53a94eb747a37b5df8fd0fc debuginfo(build-id) = a2c61dfa4134995fc9fa2d023c2aef35f21a9edd debuginfo(build-id) = a45de4716a155264405edb9c5b3e2addccdaefcb debuginfo(build-id) = a6701cb6ee2f6945c55cc885e4bf2ca63a427743 debuginfo(build-id) = a7c9d367ccd0bfc0d4204197830aab5a14fa7803 debuginfo(build-id) = aa9364bdc77e145be78ba66d40d086643ed250ae debuginfo(build-id) = af28c79ebf410351c3364508b4c258ad72e3a463 debuginfo(build-id) = b2b39fd1bf1a7ebb8e13e042c7fc8b11b34ae8a2 debuginfo(build-id) = b4d8206cdcd2e676fa00e144f468011bb417e264 debuginfo(build-id) = b69b0a8c8fedf11f4227193ddd0a3a857eef8a67 debuginfo(build-id) = b9a266f0def7539e7d3a8715545e0477641fadad debuginfo(build-id) = ba814458ee35ceac96a3c7ca925af88b6f9097cc debuginfo(build-id) = bdb55244de8af96b12c6c573b6e8c1a504acf340 debuginfo(build-id) = be3878aac275462dbaec24317834a276b3431606 debuginfo(build-id) = c4ebb1f965f448db4f6b709be0a126c8baccf4a6 debuginfo(build-id) = c5bc325ec412841ff6e2641c93f0d74f6222f494 debuginfo(build-id) = cf8f909f434dcdeb11ffe6982d9c9b35744cf2cb debuginfo(build-id) = d3c27652fdb0a852c21c0eedeb7e3969b6173ee5 debuginfo(build-id) = da464c8022a182a33dcf1cadb4c1f75fb3e9a637 debuginfo(build-id) = e399740868f66e436ff5e0a13c4789768e8274e9 debuginfo(build-id) = e462caeef2d547a1747cdf557479536582e83027 debuginfo(build-id) = e5baaa6d7b6bdb15a00688511b6613dfcf4d3924 debuginfo(build-id) = ea5c0b2641be6babc9c8a57a78af2a5452754a61 debuginfo(build-id) = eed9ad31d27d98f6f1bb897af9c9e8ae8dfdd260 debuginfo(build-id) = ef6ece51d67f7d5c98d0666b91d001ca62e27017 debuginfo(build-id) = f0d1ee06a434ac8806c2588f9b7bf041e4215b01 debuginfo(build-id) = f20a7f84f62e28e9fe40c1bb3b6a3eb81798237e debuginfo(build-id) = f27a7d3f002a58cda1e35b0075381eef1402caf1 python-scikit-learn-debuginfo = 1.5.2-4.fc42 python3-scikit-learn-debuginfo = 1.5.2-4.fc42 python3-scikit-learn-debuginfo(ppc-64) = 1.5.2-4.fc42 python3.13-scikit-learn-debuginfo = 1.5.2-4.fc42 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Recommends: python-scikit-learn-debugsource(ppc-64) = 1.5.2-4.fc42 Checking for unpackaged file(s): /usr/lib/rpm/check-files /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT Wrote: /builddir/build/SRPMS/python-scikit-learn-1.5.2-4.fc42.src.rpm Wrote: /builddir/build/RPMS/python-scikit-learn-debugsource-1.5.2-4.fc42.ppc64le.rpm Wrote: /builddir/build/RPMS/python3-scikit-learn-1.5.2-4.fc42.ppc64le.rpm Wrote: /builddir/build/RPMS/python3-scikit-learn-debuginfo-1.5.2-4.fc42.ppc64le.rpm Executing(rmbuild): /bin/sh -e /var/tmp/rpm-tmp.jQwBuR + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build + test -d /builddir/build/BUILD/python-scikit-learn-1.5.2-build + /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w /builddir/build/BUILD/python-scikit-learn-1.5.2-build + rm -rf /builddir/build/BUILD/python-scikit-learn-1.5.2-build + RPM_EC=0 ++ jobs -p + exit 0 Finish: rpmbuild python-scikit-learn-1.5.2-4.fc42.src.rpm Finish: build phase for python-scikit-learn-1.5.2-4.fc42.src.rpm INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-rawhide-ppc64le-1732616421.678575/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-1.5.2-4.fc42.src.rpm) Config(child) 27 minutes 55 seconds INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results INFO: Cleaning up build root ('cleanup_on_success=True') Start: clean chroot INFO: unmounting tmpfs. Finish: clean chroot Finish: run Running RPMResults tool Package info: { "packages": [ { "name": "python3-scikit-learn-debuginfo", "epoch": null, "version": "1.5.2", "release": "4.fc42", "arch": "ppc64le" }, { "name": "python3-scikit-learn", "epoch": null, "version": "1.5.2", "release": "4.fc42", "arch": "ppc64le" }, { "name": "python-scikit-learn-debugsource", "epoch": null, "version": "1.5.2", "release": "4.fc42", "arch": "ppc64le" }, { "name": "python-scikit-learn", "epoch": null, "version": "1.5.2", "release": "4.fc42", "arch": "src" } ] } RPMResults finished