0s autopkgtest [09:35:02]: starting date and time: 2024-03-23 09:35:02+0000
  0s autopkgtest [09:35:02]: git checkout: 4a1cd702 l/adt_testbed: don't blame the testbed for unsolvable build deps
  0s autopkgtest [09:35:02]: host juju-7f2275-prod-proposed-migration-environment-2; command line: /home/ubuntu/autopkgtest/runner/autopkgtest --output-dir /tmp/autopkgtest-work.buphejag/out --timeout-copy=6000 --setup-commands /home/ubuntu/autopkgtest-cloud/worker-config-production/setup-canonical.sh --setup-commands /home/ubuntu/autopkgtest/setup-commands/setup-testbed --apt-pocket=proposed=src:sphinx --apt-upgrade scikit-learn --timeout-short=300 --timeout-copy=20000 --timeout-build=20000 --env=ADT_TEST_TRIGGERS=sphinx/7.2.6-6 -- ssh -s /home/ubuntu/autopkgtest/ssh-setup/nova -- --flavor autopkgtest --security-groups autopkgtest-juju-7f2275-prod-proposed-migration-environment-2@bos02-ppc64el-17.secgroup --name adt-noble-ppc64el-scikit-learn-20240323-093502-juju-7f2275-prod-proposed-migration-environment-2 --image adt/ubuntu-noble-ppc64el-server --keyname testbed-juju-7f2275-prod-proposed-migration-environment-2 --net-id=net_prod-proposed-migration -e TERM=linux -e ''"'"'http_proxy=http://squid.internal:3128'"'"'' -e ''"'"'https_proxy=http://squid.internal:3128'"'"'' -e ''"'"'no_proxy=127.0.0.1,127.0.1.1,login.ubuntu.com,localhost,localdomain,novalocal,internal,archive.ubuntu.com,ports.ubuntu.com,security.ubuntu.com,ddebs.ubuntu.com,changelogs.ubuntu.com,launchpadlibrarian.net,launchpadcontent.net,launchpad.net,10.24.0.0/24,keystone.ps5.canonical.com,objectstorage.prodstack5.canonical.com'"'"'' --mirror=http://ftpmaster.internal/ubuntu/
 80s autopkgtest [09:36:22]: testbed dpkg architecture: ppc64el
 81s autopkgtest [09:36:23]: testbed apt version: 2.7.12
 81s autopkgtest [09:36:23]: @@@@@@@@@@@@@@@@@@@@ test bed setup
 82s Get:1 http://ftpmaster.internal/ubuntu noble-proposed InRelease [117 kB]
 82s Get:2 http://ftpmaster.internal/ubuntu noble-proposed/main Sources [494 kB]
 82s Get:3 http://ftpmaster.internal/ubuntu noble-proposed/restricted Sources [6540 B]
 82s Get:4 http://ftpmaster.internal/ubuntu noble-proposed/multiverse Sources [56.9 kB]
 82s Get:5 http://ftpmaster.internal/ubuntu noble-proposed/universe Sources [4029 kB]
 84s Get:6 http://ftpmaster.internal/ubuntu noble-proposed/main ppc64el Packages [659 kB]
 84s Get:7 http://ftpmaster.internal/ubuntu noble-proposed/main ppc64el c-n-f Metadata [3116 B]
 84s Get:8 http://ftpmaster.internal/ubuntu noble-proposed/restricted ppc64el Packages [1372 B]
 84s Get:9 http://ftpmaster.internal/ubuntu noble-proposed/restricted ppc64el c-n-f Metadata [116 B]
 84s Get:10 http://ftpmaster.internal/ubuntu noble-proposed/universe ppc64el Packages [4250 kB]
 84s Get:11 http://ftpmaster.internal/ubuntu noble-proposed/universe ppc64el c-n-f Metadata [8652 B]
 84s Get:12 http://ftpmaster.internal/ubuntu noble-proposed/multiverse ppc64el Packages [60.8 kB]
 84s Get:13 http://ftpmaster.internal/ubuntu noble-proposed/multiverse ppc64el c-n-f Metadata [116 B]
 87s Fetched 9687 kB in 4s (2644 kB/s)
 88s Reading package lists...
 90s Reading package lists...
 90s Building dependency tree...
 90s Reading state information...
 90s Calculating upgrade...
 91s The following packages will be upgraded:
 91s   libbsd0 libc-bin libc6 locales
 91s 4 upgraded, 0 newly installed, 0 to remove and 0 not upgraded.
 91s Need to get 8313 kB of archives.
 91s After this operation, 2048 B of additional disk space will be used.
 91s Get:1 http://ftpmaster.internal/ubuntu noble/main ppc64el libc6 ppc64el 2.39-0ubuntu6 [3274 kB]
 91s Get:2 http://ftpmaster.internal/ubuntu noble/main ppc64el libc-bin ppc64el 2.39-0ubuntu6 [751 kB]
 91s Get:3 http://ftpmaster.internal/ubuntu noble/main ppc64el libbsd0 ppc64el 0.12.1-1 [56.9 kB]
 91s Get:4 http://ftpmaster.internal/ubuntu noble/main ppc64el locales all 2.39-0ubuntu6 [4232 kB]
 92s Preconfiguring packages ...
 92s Fetched 8313 kB in 1s (9559 kB/s)
 92s (Reading database ... 
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(Reading database ... 70%
(Reading database ... 75%
(Reading database ... 80%
(Reading database ... 85%
(Reading database ... 90%
(Reading database ... 95%
(Reading database ... 100%
(Reading database ... 70156 files and directories currently installed.)
 92s Preparing to unpack .../libc6_2.39-0ubuntu6_ppc64el.deb ...
 92s Unpacking libc6:ppc64el (2.39-0ubuntu6) over (2.39-0ubuntu2) ...
 92s Setting up libc6:ppc64el (2.39-0ubuntu6) ...
 93s (Reading database ... 
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(Reading database ... 80%
(Reading database ... 85%
(Reading database ... 90%
(Reading database ... 95%
(Reading database ... 100%
(Reading database ... 70156 files and directories currently installed.)
 93s Preparing to unpack .../libc-bin_2.39-0ubuntu6_ppc64el.deb ...
 93s Unpacking libc-bin (2.39-0ubuntu6) over (2.39-0ubuntu2) ...
 93s Setting up libc-bin (2.39-0ubuntu6) ...
 93s (Reading database ... 
(Reading database ... 5%
(Reading database ... 10%
(Reading database ... 15%
(Reading database ... 20%
(Reading database ... 25%
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(Reading database ... 90%
(Reading database ... 95%
(Reading database ... 100%
(Reading database ... 70156 files and directories currently installed.)
 93s Preparing to unpack .../libbsd0_0.12.1-1_ppc64el.deb ...
 93s Unpacking libbsd0:ppc64el (0.12.1-1) over (0.11.8-1) ...
 93s Preparing to unpack .../locales_2.39-0ubuntu6_all.deb ...
 93s Unpacking locales (2.39-0ubuntu6) over (2.39-0ubuntu2) ...
 93s Setting up locales (2.39-0ubuntu6) ...
 94s Generating locales (this might take a while)...
 95s   en_US.UTF-8... done
 95s Generation complete.
 95s Setting up libbsd0:ppc64el (0.12.1-1) ...
 95s Processing triggers for man-db (2.12.0-3) ...
 96s Processing triggers for libc-bin (2.39-0ubuntu6) ...
 96s Reading package lists...
 96s Building dependency tree...
 96s Reading state information...
 96s 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded.
 97s sh: Attempting to set up Debian/Ubuntu apt sources automatically
 97s sh: Distribution appears to be Ubuntu
 98s Reading package lists...
 98s Building dependency tree...
 98s Reading state information...
 98s eatmydata is already the newest version (131-1).
 98s 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded.
 98s Reading package lists...
 98s Building dependency tree...
 98s Reading state information...
 99s dbus is already the newest version (1.14.10-4ubuntu1).
 99s 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded.
 99s Reading package lists...
 99s Building dependency tree...
 99s Reading state information...
 99s rng-tools-debian is already the newest version (2.4).
 99s 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded.
 99s Reading package lists...
 99s Building dependency tree...
 99s Reading state information...
 99s The following packages will be REMOVED:
 99s   cloud-init* python3-configobj* python3-debconf*
 99s 0 upgraded, 0 newly installed, 3 to remove and 0 not upgraded.
 99s After this operation, 3256 kB disk space will be freed.
100s (Reading database ... 
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(Reading database ... 65%
(Reading database ... 70%
(Reading database ... 75%
(Reading database ... 80%
(Reading database ... 85%
(Reading database ... 90%
(Reading database ... 95%
(Reading database ... 100%
(Reading database ... 70156 files and directories currently installed.)
100s Removing cloud-init (24.1.2-0ubuntu1) ...
100s Removing python3-configobj (5.0.8-3) ...
100s Removing python3-debconf (1.5.86) ...
100s Processing triggers for man-db (2.12.0-3) ...
100s (Reading database ... 
(Reading database ... 5%
(Reading database ... 10%
(Reading database ... 15%
(Reading database ... 20%
(Reading database ... 25%
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(Reading database ... 45%
(Reading database ... 50%
(Reading database ... 55%
(Reading database ... 60%
(Reading database ... 65%
(Reading database ... 70%
(Reading database ... 75%
(Reading database ... 80%
(Reading database ... 85%
(Reading database ... 90%
(Reading database ... 95%
(Reading database ... 100%
(Reading database ... 69767 files and directories currently installed.)
100s Purging configuration files for cloud-init (24.1.2-0ubuntu1) ...
101s dpkg: warning: while removing cloud-init, directory '/etc/cloud/cloud.cfg.d' not empty so not removed
101s Processing triggers for rsyslog (8.2312.0-3ubuntu3) ...
101s invoke-rc.d: policy-rc.d denied execution of try-restart.
101s Reading package lists...
101s Building dependency tree...
101s Reading state information...
102s linux-generic is already the newest version (6.8.0-11.11+1).
102s 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded.
102s Hit:1 http://ftpmaster.internal/ubuntu noble InRelease
102s Hit:2 http://ftpmaster.internal/ubuntu noble-updates InRelease
102s Hit:3 http://ftpmaster.internal/ubuntu noble-security InRelease
105s Reading package lists...
105s Reading package lists...
105s Building dependency tree...
105s Reading state information...
105s Calculating upgrade...
105s 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded.
105s Reading package lists...
105s Building dependency tree...
105s Reading state information...
105s 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded.
106s autopkgtest [09:36:48]: rebooting testbed after setup commands that affected boot
149s autopkgtest-virt-ssh: WARNING: ssh connection failed. Retrying in 3 seconds...
156s autopkgtest [09:37:38]: testbed running kernel: Linux 6.8.0-11-generic #11-Ubuntu SMP Wed Feb 14 00:33:03 UTC 2024
158s autopkgtest [09:37:40]: @@@@@@@@@@@@@@@@@@@@ apt-source scikit-learn
161s Get:1 http://ftpmaster.internal/ubuntu noble/universe scikit-learn 1.4.1.post1+dfsg-1 (dsc) [3087 B]
161s Get:2 http://ftpmaster.internal/ubuntu noble/universe scikit-learn 1.4.1.post1+dfsg-1 (tar) [6390 kB]
161s Get:3 http://ftpmaster.internal/ubuntu noble/universe scikit-learn 1.4.1.post1+dfsg-1 (diff) [23.3 kB]
161s gpgv: Signature made Sat Feb 17 15:07:14 2024 UTC
161s gpgv:                using RSA key F1F007320A035541F0A663CA578A0494D1C646D1
161s gpgv:                issuer "tille@debian.org"
161s gpgv: Can't check signature: No public key
161s dpkg-source: warning: cannot verify inline signature for ./scikit-learn_1.4.1.post1+dfsg-1.dsc: no acceptable signature found
162s autopkgtest [09:37:44]: testing package scikit-learn version 1.4.1.post1+dfsg-1
163s autopkgtest [09:37:45]: build not needed
174s autopkgtest [09:37:56]: test python3: preparing testbed
178s Reading package lists...
179s Building dependency tree...
179s Reading state information...
179s Starting pkgProblemResolver with broken count: 0
179s Starting 2 pkgProblemResolver with broken count: 0
179s Done
179s The following additional packages will be installed:
179s   blt fontconfig-config fonts-dejavu-core fonts-dejavu-mono fonts-lyx libblas3
179s   libdeflate0 libfontconfig1 libgfortran5 libgomp1 libgraphite2-3
179s   libharfbuzz0b libimagequant0 libjbig0 libjpeg-turbo8 libjpeg8 libjs-jquery
179s   libjs-jquery-ui liblapack3 liblbfgsb0 liblcms2-2 liblerc4 libopenjp2-7
179s   libqhull-r8.0 libraqm0 libsharpyuv0 libtcl8.6 libtiff6 libtk8.6 libwebp7
179s   libwebpdemux2 libwebpmux3 libxft2 libxrender1 libxslt1.1 libxss1
179s   python-matplotlib-data python3-all python3-appdirs python3-brotli
179s   python3-contourpy python3-cycler python3-dateutil python3-decorator
179s   python3-fonttools python3-fs python3-iniconfig python3-joblib
179s   python3-kiwisolver python3-lxml python3-lz4 python3-matplotlib
179s   python3-mpmath python3-numpy python3-packaging python3-pil
179s   python3-pil.imagetk python3-pluggy python3-pytest python3-scipy
179s   python3-sklearn python3-sklearn-lib python3-sympy python3-threadpoolctl
179s   python3-tk python3-ufolib2 tk8.6-blt2.5 unicode-data x11-common
179s Suggested packages:
179s   blt-demo libjs-jquery-ui-docs liblcms2-utils tcl8.6 tk8.6 python-cycler-doc
179s   python-lxml-doc cm-super-minimal dvipng ffmpeg fonts-staypuft ghostscript
179s   gir1.2-gtk-3.0 inkscape ipython3 librsvg2-common python3-cairocffi
179s   python3-gi-cairo python3-gobject python3-pyqt5 python3-sip python3-tornado
179s   texlive-extra-utils texlive-latex-extra python-mpmath-doc python3-gmpy2 gcc
179s   gfortran python3-dev python-pil-doc python-scipy-doc python3-dap
179s   python-sklearn-doc texlive-fonts-extra python-sympy-doc tix python3-tk-dbg
179s Recommended packages:
179s   javascript-common python3-simplejson python3-psutil python3-bs4
179s   python3-cssselect python3-html5lib python3-olefile g++ | c++-compiler
179s   isympy-common
179s The following NEW packages will be installed:
179s   autopkgtest-satdep blt fontconfig-config fonts-dejavu-core fonts-dejavu-mono
179s   fonts-lyx libblas3 libdeflate0 libfontconfig1 libgfortran5 libgomp1
179s   libgraphite2-3 libharfbuzz0b libimagequant0 libjbig0 libjpeg-turbo8 libjpeg8
179s   libjs-jquery libjs-jquery-ui liblapack3 liblbfgsb0 liblcms2-2 liblerc4
179s   libopenjp2-7 libqhull-r8.0 libraqm0 libsharpyuv0 libtcl8.6 libtiff6 libtk8.6
179s   libwebp7 libwebpdemux2 libwebpmux3 libxft2 libxrender1 libxslt1.1 libxss1
179s   python-matplotlib-data python3-all python3-appdirs python3-brotli
179s   python3-contourpy python3-cycler python3-dateutil python3-decorator
179s   python3-fonttools python3-fs python3-iniconfig python3-joblib
179s   python3-kiwisolver python3-lxml python3-lz4 python3-matplotlib
179s   python3-mpmath python3-numpy python3-packaging python3-pil
179s   python3-pil.imagetk python3-pluggy python3-pytest python3-scipy
179s   python3-sklearn python3-sklearn-lib python3-sympy python3-threadpoolctl
179s   python3-tk python3-ufolib2 tk8.6-blt2.5 unicode-data x11-common
179s 0 upgraded, 70 newly installed, 0 to remove and 0 not upgraded.
179s Need to get 78.2 MB/78.2 MB of archives.
179s After this operation, 400 MB of additional disk space will be used.
179s Get:1 /tmp/autopkgtest.oYEcdA/1-autopkgtest-satdep.deb autopkgtest-satdep ppc64el 0 [768 B]
179s Get:2 http://ftpmaster.internal/ubuntu noble/main ppc64el libtcl8.6 ppc64el 8.6.13+dfsg-2 [1179 kB]
180s Get:3 http://ftpmaster.internal/ubuntu noble/main ppc64el fonts-dejavu-mono all 2.37-8 [502 kB]
180s Get:4 http://ftpmaster.internal/ubuntu noble/main ppc64el fonts-dejavu-core all 2.37-8 [835 kB]
180s Get:5 http://ftpmaster.internal/ubuntu noble/main ppc64el fontconfig-config ppc64el 2.15.0-1ubuntu1 [37.0 kB]
180s Get:6 http://ftpmaster.internal/ubuntu noble/main ppc64el libfontconfig1 ppc64el 2.15.0-1ubuntu1 [190 kB]
180s Get:7 http://ftpmaster.internal/ubuntu noble/main ppc64el libxrender1 ppc64el 1:0.9.10-1.1 [23.3 kB]
180s Get:8 http://ftpmaster.internal/ubuntu noble/main ppc64el libxft2 ppc64el 2.3.6-1 [59.8 kB]
180s Get:9 http://ftpmaster.internal/ubuntu noble/main ppc64el x11-common all 1:7.7+23ubuntu2 [23.4 kB]
180s Get:10 http://ftpmaster.internal/ubuntu noble/main ppc64el libxss1 ppc64el 1:1.2.3-1build2 [8982 B]
180s Get:11 http://ftpmaster.internal/ubuntu noble/main ppc64el libtk8.6 ppc64el 8.6.14-1 [944 kB]
180s Get:12 http://ftpmaster.internal/ubuntu noble/main ppc64el tk8.6-blt2.5 ppc64el 2.5.3+dfsg-7 [778 kB]
180s Get:13 http://ftpmaster.internal/ubuntu noble/main ppc64el blt ppc64el 2.5.3+dfsg-7 [4832 B]
180s Get:14 http://ftpmaster.internal/ubuntu noble/universe ppc64el fonts-lyx all 2.4.0~RC3-1 [170 kB]
180s Get:15 http://ftpmaster.internal/ubuntu noble/main ppc64el libblas3 ppc64el 3.12.0-3 [227 kB]
180s Get:16 http://ftpmaster.internal/ubuntu noble/main ppc64el libdeflate0 ppc64el 1.19-1 [61.9 kB]
180s Get:17 http://ftpmaster.internal/ubuntu noble/main ppc64el libgfortran5 ppc64el 14-20240303-1ubuntu1 [574 kB]
180s Get:18 http://ftpmaster.internal/ubuntu noble/main ppc64el libgomp1 ppc64el 14-20240303-1ubuntu1 [161 kB]
180s Get:19 http://ftpmaster.internal/ubuntu noble/main ppc64el libgraphite2-3 ppc64el 1.3.14-2 [105 kB]
180s Get:20 http://ftpmaster.internal/ubuntu noble/main ppc64el libharfbuzz0b ppc64el 8.3.0-2 [576 kB]
180s Get:21 http://ftpmaster.internal/ubuntu noble/main ppc64el libimagequant0 ppc64el 2.18.0-1 [42.5 kB]
180s Get:22 http://ftpmaster.internal/ubuntu noble/main ppc64el libjpeg-turbo8 ppc64el 2.1.5-2ubuntu1 [212 kB]
180s Get:23 http://ftpmaster.internal/ubuntu noble/main ppc64el libjpeg8 ppc64el 8c-2ubuntu11 [2148 B]
180s Get:24 http://ftpmaster.internal/ubuntu noble/main ppc64el libjs-jquery all 3.6.1+dfsg+~3.5.14-1 [328 kB]
180s Get:25 http://ftpmaster.internal/ubuntu noble/universe ppc64el libjs-jquery-ui all 1.13.2+dfsg-1 [252 kB]
180s Get:26 http://ftpmaster.internal/ubuntu noble/main ppc64el liblapack3 ppc64el 3.12.0-3 [2804 kB]
180s Get:27 http://ftpmaster.internal/ubuntu noble/universe ppc64el liblbfgsb0 ppc64el 3.0+dfsg.4-1 [32.8 kB]
180s Get:28 http://ftpmaster.internal/ubuntu noble/main ppc64el liblcms2-2 ppc64el 2.14-2 [243 kB]
180s Get:29 http://ftpmaster.internal/ubuntu noble/main ppc64el liblerc4 ppc64el 4.0.0+ds-4ubuntu1 [266 kB]
180s Get:30 http://ftpmaster.internal/ubuntu noble/universe ppc64el libqhull-r8.0 ppc64el 2020.2-6 [220 kB]
180s Get:31 http://ftpmaster.internal/ubuntu noble/main ppc64el libraqm0 ppc64el 0.10.1-1 [18.9 kB]
180s Get:32 http://ftpmaster.internal/ubuntu noble/main ppc64el libsharpyuv0 ppc64el 1.3.2-0.4 [28.7 kB]
180s Get:33 http://ftpmaster.internal/ubuntu noble/main ppc64el libjbig0 ppc64el 2.1-6.1ubuntu1 [34.7 kB]
180s Get:34 http://ftpmaster.internal/ubuntu noble/main ppc64el libwebp7 ppc64el 1.3.2-0.4 [312 kB]
180s Get:35 http://ftpmaster.internal/ubuntu noble/main ppc64el libtiff6 ppc64el 4.5.1+git230720-3ubuntu1 [323 kB]
180s Get:36 http://ftpmaster.internal/ubuntu noble/main ppc64el libwebpdemux2 ppc64el 1.3.2-0.4 [14.4 kB]
180s Get:37 http://ftpmaster.internal/ubuntu noble/main ppc64el libwebpmux3 ppc64el 1.3.2-0.4 [31.2 kB]
180s Get:38 http://ftpmaster.internal/ubuntu noble/main ppc64el libxslt1.1 ppc64el 1.1.39-0exp1 [192 kB]
180s Get:39 http://ftpmaster.internal/ubuntu noble/universe ppc64el python-matplotlib-data all 3.6.3-1ubuntu3 [2936 kB]
180s Get:40 http://ftpmaster.internal/ubuntu noble/main ppc64el python3-all ppc64el 3.12.1-0ubuntu2 [904 B]
180s Get:41 http://ftpmaster.internal/ubuntu noble/main ppc64el python3-appdirs all 1.4.4-4 [10.9 kB]
180s Get:42 http://ftpmaster.internal/ubuntu noble/universe ppc64el python3-brotli ppc64el 1.1.0-2 [420 kB]
180s Get:43 http://ftpmaster.internal/ubuntu noble/main ppc64el python3-numpy ppc64el 1:1.24.2-2 [5581 kB]
180s Get:44 http://ftpmaster.internal/ubuntu noble/universe ppc64el python3-contourpy ppc64el 1.0.7-1build2 [300 kB]
180s Get:45 http://ftpmaster.internal/ubuntu noble/universe ppc64el python3-cycler all 0.11.0-2 [8202 B]
180s Get:46 http://ftpmaster.internal/ubuntu noble/main ppc64el python3-dateutil all 2.8.2-3 [79.2 kB]
180s Get:47 http://ftpmaster.internal/ubuntu noble/main ppc64el python3-decorator all 5.1.1-5 [10.1 kB]
180s Get:48 http://ftpmaster.internal/ubuntu noble/universe ppc64el python3-scipy ppc64el 1.11.4-6 [21.4 MB]
181s Get:49 http://ftpmaster.internal/ubuntu noble/universe ppc64el python3-ufolib2 all 0.16.0+dfsg1-1 [33.5 kB]
181s Get:50 http://ftpmaster.internal/ubuntu noble/universe ppc64el python3-mpmath all 1.2.1-3 [421 kB]
181s Get:51 http://ftpmaster.internal/ubuntu noble/universe ppc64el python3-sympy all 1.12-7 [3966 kB]
181s Get:52 http://ftpmaster.internal/ubuntu noble/universe ppc64el python3-fs all 2.4.16-3 [91.1 kB]
181s Get:53 http://ftpmaster.internal/ubuntu noble/main ppc64el python3-lxml ppc64el 5.1.0-1 [2191 kB]
181s Get:54 http://ftpmaster.internal/ubuntu noble/universe ppc64el python3-lz4 ppc64el 4.0.2+dfsg-1build2 [28.8 kB]
181s Get:55 http://ftpmaster.internal/ubuntu noble/universe ppc64el unicode-data all 15.1.0-1 [8878 kB]
181s Get:56 http://ftpmaster.internal/ubuntu noble/universe ppc64el python3-fonttools ppc64el 4.46.0-1 [1746 kB]
181s Get:57 http://ftpmaster.internal/ubuntu noble/universe ppc64el python3-iniconfig all 1.1.1-2 [6024 B]
181s Get:58 http://ftpmaster.internal/ubuntu noble/universe ppc64el python3-joblib all 1.3.2-1 [207 kB]
181s Get:59 http://ftpmaster.internal/ubuntu noble/universe ppc64el python3-kiwisolver ppc64el 1.4.4-2 [55.8 kB]
181s Get:60 http://ftpmaster.internal/ubuntu noble/main ppc64el libopenjp2-7 ppc64el 2.5.0-2 [233 kB]
181s Get:61 http://ftpmaster.internal/ubuntu noble/main ppc64el python3-pil ppc64el 10.2.0-1 [526 kB]
181s Get:62 http://ftpmaster.internal/ubuntu noble/main ppc64el python3-tk ppc64el 3.11.5-1 [116 kB]
181s Get:63 http://ftpmaster.internal/ubuntu noble/universe ppc64el python3-pil.imagetk ppc64el 10.2.0-1 [10.1 kB]
181s Get:64 http://ftpmaster.internal/ubuntu noble/main ppc64el python3-packaging all 23.2-1 [40.6 kB]
181s Get:65 http://ftpmaster.internal/ubuntu noble/universe ppc64el python3-matplotlib ppc64el 3.6.3-1ubuntu3 [7651 kB]
182s Get:66 http://ftpmaster.internal/ubuntu noble/universe ppc64el python3-pluggy all 1.4.0-1 [20.4 kB]
182s Get:67 http://ftpmaster.internal/ubuntu noble/universe ppc64el python3-pytest all 7.4.4-1 [305 kB]
182s Get:68 http://ftpmaster.internal/ubuntu noble/universe ppc64el python3-threadpoolctl all 3.1.0-1 [21.3 kB]
182s Get:69 http://ftpmaster.internal/ubuntu noble/universe ppc64el python3-sklearn-lib ppc64el 1.4.1.post1+dfsg-1 [6817 kB]
182s Get:70 http://ftpmaster.internal/ubuntu noble/universe ppc64el python3-sklearn all 1.4.1.post1+dfsg-1 [2261 kB]
182s Fetched 78.2 MB in 3s (28.1 MB/s)
182s Selecting previously unselected package libtcl8.6:ppc64el.
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182s Preparing to unpack .../00-libtcl8.6_8.6.13+dfsg-2_ppc64el.deb ...
182s Unpacking libtcl8.6:ppc64el (8.6.13+dfsg-2) ...
182s Selecting previously unselected package fonts-dejavu-mono.
182s Preparing to unpack .../01-fonts-dejavu-mono_2.37-8_all.deb ...
182s Unpacking fonts-dejavu-mono (2.37-8) ...
182s Selecting previously unselected package fonts-dejavu-core.
182s Preparing to unpack .../02-fonts-dejavu-core_2.37-8_all.deb ...
182s Unpacking fonts-dejavu-core (2.37-8) ...
182s Selecting previously unselected package fontconfig-config.
182s Preparing to unpack .../03-fontconfig-config_2.15.0-1ubuntu1_ppc64el.deb ...
183s Unpacking fontconfig-config (2.15.0-1ubuntu1) ...
183s Selecting previously unselected package libfontconfig1:ppc64el.
183s Preparing to unpack .../04-libfontconfig1_2.15.0-1ubuntu1_ppc64el.deb ...
183s Unpacking libfontconfig1:ppc64el (2.15.0-1ubuntu1) ...
183s Selecting previously unselected package libxrender1:ppc64el.
183s Preparing to unpack .../05-libxrender1_1%3a0.9.10-1.1_ppc64el.deb ...
183s Unpacking libxrender1:ppc64el (1:0.9.10-1.1) ...
183s Selecting previously unselected package libxft2:ppc64el.
183s Preparing to unpack .../06-libxft2_2.3.6-1_ppc64el.deb ...
183s Unpacking libxft2:ppc64el (2.3.6-1) ...
183s Selecting previously unselected package x11-common.
183s Preparing to unpack .../07-x11-common_1%3a7.7+23ubuntu2_all.deb ...
183s Unpacking x11-common (1:7.7+23ubuntu2) ...
183s Selecting previously unselected package libxss1:ppc64el.
183s Preparing to unpack .../08-libxss1_1%3a1.2.3-1build2_ppc64el.deb ...
183s Unpacking libxss1:ppc64el (1:1.2.3-1build2) ...
183s Selecting previously unselected package libtk8.6:ppc64el.
183s Preparing to unpack .../09-libtk8.6_8.6.14-1_ppc64el.deb ...
183s Unpacking libtk8.6:ppc64el (8.6.14-1) ...
183s Selecting previously unselected package tk8.6-blt2.5.
183s Preparing to unpack .../10-tk8.6-blt2.5_2.5.3+dfsg-7_ppc64el.deb ...
183s Unpacking tk8.6-blt2.5 (2.5.3+dfsg-7) ...
183s Selecting previously unselected package blt.
183s Preparing to unpack .../11-blt_2.5.3+dfsg-7_ppc64el.deb ...
183s Unpacking blt (2.5.3+dfsg-7) ...
183s Selecting previously unselected package fonts-lyx.
183s Preparing to unpack .../12-fonts-lyx_2.4.0~RC3-1_all.deb ...
183s Unpacking fonts-lyx (2.4.0~RC3-1) ...
183s Selecting previously unselected package libblas3:ppc64el.
183s Preparing to unpack .../13-libblas3_3.12.0-3_ppc64el.deb ...
183s Unpacking libblas3:ppc64el (3.12.0-3) ...
183s Selecting previously unselected package libdeflate0:ppc64el.
183s Preparing to unpack .../14-libdeflate0_1.19-1_ppc64el.deb ...
183s Unpacking libdeflate0:ppc64el (1.19-1) ...
183s Selecting previously unselected package libgfortran5:ppc64el.
183s Preparing to unpack .../15-libgfortran5_14-20240303-1ubuntu1_ppc64el.deb ...
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183s Selecting previously unselected package libgomp1:ppc64el.
183s Preparing to unpack .../16-libgomp1_14-20240303-1ubuntu1_ppc64el.deb ...
183s Unpacking libgomp1:ppc64el (14-20240303-1ubuntu1) ...
183s Selecting previously unselected package libgraphite2-3:ppc64el.
183s Preparing to unpack .../17-libgraphite2-3_1.3.14-2_ppc64el.deb ...
183s Unpacking libgraphite2-3:ppc64el (1.3.14-2) ...
183s Selecting previously unselected package libharfbuzz0b:ppc64el.
183s Preparing to unpack .../18-libharfbuzz0b_8.3.0-2_ppc64el.deb ...
183s Unpacking libharfbuzz0b:ppc64el (8.3.0-2) ...
183s Selecting previously unselected package libimagequant0:ppc64el.
183s Preparing to unpack .../19-libimagequant0_2.18.0-1_ppc64el.deb ...
183s Unpacking libimagequant0:ppc64el (2.18.0-1) ...
183s Selecting previously unselected package libjpeg-turbo8:ppc64el.
183s Preparing to unpack .../20-libjpeg-turbo8_2.1.5-2ubuntu1_ppc64el.deb ...
183s Unpacking libjpeg-turbo8:ppc64el (2.1.5-2ubuntu1) ...
183s Selecting previously unselected package libjpeg8:ppc64el.
183s Preparing to unpack .../21-libjpeg8_8c-2ubuntu11_ppc64el.deb ...
183s Unpacking libjpeg8:ppc64el (8c-2ubuntu11) ...
183s Selecting previously unselected package libjs-jquery.
183s Preparing to unpack .../22-libjs-jquery_3.6.1+dfsg+~3.5.14-1_all.deb ...
183s Unpacking libjs-jquery (3.6.1+dfsg+~3.5.14-1) ...
183s Selecting previously unselected package libjs-jquery-ui.
183s Preparing to unpack .../23-libjs-jquery-ui_1.13.2+dfsg-1_all.deb ...
183s Unpacking libjs-jquery-ui (1.13.2+dfsg-1) ...
183s Selecting previously unselected package liblapack3:ppc64el.
183s Preparing to unpack .../24-liblapack3_3.12.0-3_ppc64el.deb ...
183s Unpacking liblapack3:ppc64el (3.12.0-3) ...
183s Selecting previously unselected package liblbfgsb0:ppc64el.
183s Preparing to unpack .../25-liblbfgsb0_3.0+dfsg.4-1_ppc64el.deb ...
183s Unpacking liblbfgsb0:ppc64el (3.0+dfsg.4-1) ...
183s Selecting previously unselected package liblcms2-2:ppc64el.
183s Preparing to unpack .../26-liblcms2-2_2.14-2_ppc64el.deb ...
183s Unpacking liblcms2-2:ppc64el (2.14-2) ...
183s Selecting previously unselected package liblerc4:ppc64el.
183s Preparing to unpack .../27-liblerc4_4.0.0+ds-4ubuntu1_ppc64el.deb ...
183s Unpacking liblerc4:ppc64el (4.0.0+ds-4ubuntu1) ...
183s Selecting previously unselected package libqhull-r8.0:ppc64el.
183s Preparing to unpack .../28-libqhull-r8.0_2020.2-6_ppc64el.deb ...
183s Unpacking libqhull-r8.0:ppc64el (2020.2-6) ...
183s Selecting previously unselected package libraqm0:ppc64el.
183s Preparing to unpack .../29-libraqm0_0.10.1-1_ppc64el.deb ...
183s Unpacking libraqm0:ppc64el (0.10.1-1) ...
183s Selecting previously unselected package libsharpyuv0:ppc64el.
183s Preparing to unpack .../30-libsharpyuv0_1.3.2-0.4_ppc64el.deb ...
183s Unpacking libsharpyuv0:ppc64el (1.3.2-0.4) ...
183s Selecting previously unselected package libjbig0:ppc64el.
183s Preparing to unpack .../31-libjbig0_2.1-6.1ubuntu1_ppc64el.deb ...
183s Unpacking libjbig0:ppc64el (2.1-6.1ubuntu1) ...
183s Selecting previously unselected package libwebp7:ppc64el.
183s Preparing to unpack .../32-libwebp7_1.3.2-0.4_ppc64el.deb ...
183s Unpacking libwebp7:ppc64el (1.3.2-0.4) ...
183s Selecting previously unselected package libtiff6:ppc64el.
183s Preparing to unpack .../33-libtiff6_4.5.1+git230720-3ubuntu1_ppc64el.deb ...
183s Unpacking libtiff6:ppc64el (4.5.1+git230720-3ubuntu1) ...
183s Selecting previously unselected package libwebpdemux2:ppc64el.
183s Preparing to unpack .../34-libwebpdemux2_1.3.2-0.4_ppc64el.deb ...
183s Unpacking libwebpdemux2:ppc64el (1.3.2-0.4) ...
183s Selecting previously unselected package libwebpmux3:ppc64el.
183s Preparing to unpack .../35-libwebpmux3_1.3.2-0.4_ppc64el.deb ...
183s Unpacking libwebpmux3:ppc64el (1.3.2-0.4) ...
183s Selecting previously unselected package libxslt1.1:ppc64el.
183s Preparing to unpack .../36-libxslt1.1_1.1.39-0exp1_ppc64el.deb ...
183s Unpacking libxslt1.1:ppc64el (1.1.39-0exp1) ...
183s Selecting previously unselected package python-matplotlib-data.
183s Preparing to unpack .../37-python-matplotlib-data_3.6.3-1ubuntu3_all.deb ...
183s Unpacking python-matplotlib-data (3.6.3-1ubuntu3) ...
183s Selecting previously unselected package python3-all.
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183s Unpacking python3-all (3.12.1-0ubuntu2) ...
183s Selecting previously unselected package python3-appdirs.
183s Preparing to unpack .../39-python3-appdirs_1.4.4-4_all.deb ...
183s Unpacking python3-appdirs (1.4.4-4) ...
184s Selecting previously unselected package python3-brotli.
184s Preparing to unpack .../40-python3-brotli_1.1.0-2_ppc64el.deb ...
184s Unpacking python3-brotli (1.1.0-2) ...
184s Selecting previously unselected package python3-numpy.
184s Preparing to unpack .../41-python3-numpy_1%3a1.24.2-2_ppc64el.deb ...
184s Unpacking python3-numpy (1:1.24.2-2) ...
184s Selecting previously unselected package python3-contourpy.
184s Preparing to unpack .../42-python3-contourpy_1.0.7-1build2_ppc64el.deb ...
184s Unpacking python3-contourpy (1.0.7-1build2) ...
184s Selecting previously unselected package python3-cycler.
184s Preparing to unpack .../43-python3-cycler_0.11.0-2_all.deb ...
184s Unpacking python3-cycler (0.11.0-2) ...
184s Selecting previously unselected package python3-dateutil.
184s Preparing to unpack .../44-python3-dateutil_2.8.2-3_all.deb ...
184s Unpacking python3-dateutil (2.8.2-3) ...
184s Selecting previously unselected package python3-decorator.
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184s Unpacking python3-decorator (5.1.1-5) ...
184s Selecting previously unselected package python3-scipy.
184s Preparing to unpack .../46-python3-scipy_1.11.4-6_ppc64el.deb ...
184s Unpacking python3-scipy (1.11.4-6) ...
185s Selecting previously unselected package python3-ufolib2.
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185s Unpacking python3-ufolib2 (0.16.0+dfsg1-1) ...
185s Selecting previously unselected package python3-mpmath.
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185s Unpacking python3-mpmath (1.2.1-3) ...
185s Selecting previously unselected package python3-sympy.
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185s Unpacking python3-sympy (1.12-7) ...
185s Selecting previously unselected package python3-fs.
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185s Unpacking python3-fs (2.4.16-3) ...
185s Selecting previously unselected package python3-lxml:ppc64el.
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185s Unpacking python3-lxml:ppc64el (5.1.0-1) ...
185s Selecting previously unselected package python3-lz4.
185s Preparing to unpack .../52-python3-lz4_4.0.2+dfsg-1build2_ppc64el.deb ...
185s Unpacking python3-lz4 (4.0.2+dfsg-1build2) ...
185s Selecting previously unselected package unicode-data.
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185s Unpacking unicode-data (15.1.0-1) ...
186s Selecting previously unselected package python3-fonttools.
186s Preparing to unpack .../54-python3-fonttools_4.46.0-1_ppc64el.deb ...
186s Unpacking python3-fonttools (4.46.0-1) ...
186s Selecting previously unselected package python3-iniconfig.
186s Preparing to unpack .../55-python3-iniconfig_1.1.1-2_all.deb ...
186s Unpacking python3-iniconfig (1.1.1-2) ...
186s Selecting previously unselected package python3-joblib.
186s Preparing to unpack .../56-python3-joblib_1.3.2-1_all.deb ...
186s Unpacking python3-joblib (1.3.2-1) ...
186s Selecting previously unselected package python3-kiwisolver.
186s Preparing to unpack .../57-python3-kiwisolver_1.4.4-2_ppc64el.deb ...
186s Unpacking python3-kiwisolver (1.4.4-2) ...
186s Selecting previously unselected package libopenjp2-7:ppc64el.
186s Preparing to unpack .../58-libopenjp2-7_2.5.0-2_ppc64el.deb ...
186s Unpacking libopenjp2-7:ppc64el (2.5.0-2) ...
186s Selecting previously unselected package python3-pil:ppc64el.
186s Preparing to unpack .../59-python3-pil_10.2.0-1_ppc64el.deb ...
186s Unpacking python3-pil:ppc64el (10.2.0-1) ...
186s Selecting previously unselected package python3-tk:ppc64el.
186s Preparing to unpack .../60-python3-tk_3.11.5-1_ppc64el.deb ...
186s Unpacking python3-tk:ppc64el (3.11.5-1) ...
186s Selecting previously unselected package python3-pil.imagetk:ppc64el.
186s Preparing to unpack .../61-python3-pil.imagetk_10.2.0-1_ppc64el.deb ...
186s Unpacking python3-pil.imagetk:ppc64el (10.2.0-1) ...
186s Selecting previously unselected package python3-packaging.
186s Preparing to unpack .../62-python3-packaging_23.2-1_all.deb ...
186s Unpacking python3-packaging (23.2-1) ...
186s Selecting previously unselected package python3-matplotlib.
186s Preparing to unpack .../63-python3-matplotlib_3.6.3-1ubuntu3_ppc64el.deb ...
186s Unpacking python3-matplotlib (3.6.3-1ubuntu3) ...
186s Selecting previously unselected package python3-pluggy.
186s Preparing to unpack .../64-python3-pluggy_1.4.0-1_all.deb ...
186s Unpacking python3-pluggy (1.4.0-1) ...
186s Selecting previously unselected package python3-pytest.
186s Preparing to unpack .../65-python3-pytest_7.4.4-1_all.deb ...
186s Unpacking python3-pytest (7.4.4-1) ...
186s Selecting previously unselected package python3-threadpoolctl.
186s Preparing to unpack .../66-python3-threadpoolctl_3.1.0-1_all.deb ...
186s Unpacking python3-threadpoolctl (3.1.0-1) ...
186s Selecting previously unselected package python3-sklearn-lib:ppc64el.
186s Preparing to unpack .../67-python3-sklearn-lib_1.4.1.post1+dfsg-1_ppc64el.deb ...
186s Unpacking python3-sklearn-lib:ppc64el (1.4.1.post1+dfsg-1) ...
187s Selecting previously unselected package python3-sklearn.
187s Preparing to unpack .../68-python3-sklearn_1.4.1.post1+dfsg-1_all.deb ...
187s Unpacking python3-sklearn (1.4.1.post1+dfsg-1) ...
187s Selecting previously unselected package autopkgtest-satdep.
187s Preparing to unpack .../69-1-autopkgtest-satdep.deb ...
187s Unpacking autopkgtest-satdep (0) ...
187s Setting up libgraphite2-3:ppc64el (1.3.14-2) ...
187s Setting up liblcms2-2:ppc64el (2.14-2) ...
187s Setting up python3-iniconfig (1.1.1-2) ...
187s Setting up libsharpyuv0:ppc64el (1.3.2-0.4) ...
187s Setting up liblerc4:ppc64el (4.0.0+ds-4ubuntu1) ...
187s Setting up libxrender1:ppc64el (1:0.9.10-1.1) ...
187s Setting up python3-joblib (1.3.2-1) ...
187s Setting up python3-lz4 (4.0.2+dfsg-1build2) ...
187s Setting up fonts-lyx (2.4.0~RC3-1) ...
187s Setting up python3-threadpoolctl (3.1.0-1) ...
187s Setting up x11-common (1:7.7+23ubuntu2) ...
188s Setting up libdeflate0:ppc64el (1.19-1) ...
188s Setting up libqhull-r8.0:ppc64el (2020.2-6) ...
188s Setting up python3-all (3.12.1-0ubuntu2) ...
188s Setting up libgomp1:ppc64el (14-20240303-1ubuntu1) ...
188s Setting up libjbig0:ppc64el (2.1-6.1ubuntu1) ...
188s Setting up unicode-data (15.1.0-1) ...
188s Setting up python3-decorator (5.1.1-5) ...
188s Setting up libblas3:ppc64el (3.12.0-3) ...
188s update-alternatives: using /usr/lib/powerpc64le-linux-gnu/blas/libblas.so.3 to provide /usr/lib/powerpc64le-linux-gnu/libblas.so.3 (libblas.so.3-powerpc64le-linux-gnu) in auto mode
188s Setting up python3-packaging (23.2-1) ...
188s Setting up python3-brotli (1.1.0-2) ...
188s Setting up python3-cycler (0.11.0-2) ...
189s Setting up libimagequant0:ppc64el (2.18.0-1) ...
189s Setting up fonts-dejavu-mono (2.37-8) ...
189s Setting up python3-kiwisolver (1.4.4-2) ...
189s Setting up libtcl8.6:ppc64el (8.6.13+dfsg-2) ...
189s Setting up fonts-dejavu-core (2.37-8) ...
189s Setting up libjpeg-turbo8:ppc64el (2.1.5-2ubuntu1) ...
189s Setting up libgfortran5:ppc64el (14-20240303-1ubuntu1) ...
189s Setting up python3-pluggy (1.4.0-1) ...
189s Setting up libwebp7:ppc64el (1.3.2-0.4) ...
189s Setting up libxslt1.1:ppc64el (1.1.39-0exp1) ...
189s Setting up libopenjp2-7:ppc64el (2.5.0-2) ...
189s Setting up libharfbuzz0b:ppc64el (8.3.0-2) ...
189s Setting up python3-dateutil (2.8.2-3) ...
189s Setting up libxss1:ppc64el (1:1.2.3-1build2) ...
189s Setting up libjs-jquery (3.6.1+dfsg+~3.5.14-1) ...
189s Setting up python3-mpmath (1.2.1-3) ...
190s Setting up python-matplotlib-data (3.6.3-1ubuntu3) ...
190s Setting up libwebpmux3:ppc64el (1.3.2-0.4) ...
190s Setting up python3-appdirs (1.4.4-4) ...
190s Setting up libjpeg8:ppc64el (8c-2ubuntu11) ...
190s Setting up python3-sympy (1.12-7) ...
196s Setting up liblapack3:ppc64el (3.12.0-3) ...
196s update-alternatives: using /usr/lib/powerpc64le-linux-gnu/lapack/liblapack.so.3 to provide /usr/lib/powerpc64le-linux-gnu/liblapack.so.3 (liblapack.so.3-powerpc64le-linux-gnu) in auto mode
196s Setting up fontconfig-config (2.15.0-1ubuntu1) ...
196s Setting up python3-pytest (7.4.4-1) ...
196s Setting up libwebpdemux2:ppc64el (1.3.2-0.4) ...
196s Setting up python3-fs (2.4.16-3) ...
196s Setting up libjs-jquery-ui (1.13.2+dfsg-1) ...
196s Setting up libraqm0:ppc64el (0.10.1-1) ...
196s Setting up python3-numpy (1:1.24.2-2) ...
198s Setting up python3-lxml:ppc64el (5.1.0-1) ...
199s Setting up libtiff6:ppc64el (4.5.1+git230720-3ubuntu1) ...
199s Setting up python3-contourpy (1.0.7-1build2) ...
199s Setting up libfontconfig1:ppc64el (2.15.0-1ubuntu1) ...
199s Setting up liblbfgsb0:ppc64el (3.0+dfsg.4-1) ...
199s Setting up libxft2:ppc64el (2.3.6-1) ...
199s Setting up python3-scipy (1.11.4-6) ...
202s Setting up libtk8.6:ppc64el (8.6.14-1) ...
202s Setting up python3-sklearn-lib:ppc64el (1.4.1.post1+dfsg-1) ...
202s Setting up python3-pil:ppc64el (10.2.0-1) ...
202s Setting up python3-sklearn (1.4.1.post1+dfsg-1) ...
204s Setting up tk8.6-blt2.5 (2.5.3+dfsg-7) ...
204s Setting up blt (2.5.3+dfsg-7) ...
204s Setting up python3-tk:ppc64el (3.11.5-1) ...
204s Setting up python3-pil.imagetk:ppc64el (10.2.0-1) ...
204s Setting up python3-fonttools (4.46.0-1) ...
205s Setting up python3-ufolib2 (0.16.0+dfsg1-1) ...
205s Setting up python3-matplotlib (3.6.3-1ubuntu3) ...
207s Setting up autopkgtest-satdep (0) ...
207s Processing triggers for libc-bin (2.39-0ubuntu6) ...
207s Processing triggers for man-db (2.12.0-3) ...
210s (Reading database ... 77916 files and directories currently installed.)
210s Removing autopkgtest-satdep (0) ...
211s autopkgtest [09:38:33]: test python3: [-----------------------
211s + export JOBLIB_MULTIPROCESSING=0
211s + py3versions -rv
211s + pys=3.12
211s + pkgbuild=no
211s + srcdir=/tmp/autopkgtest.oYEcdA/build.y76/src
211s + exclude_tests=not test_old_pickle and not test_ard_accuracy_on_easy_problem
211s + dpkg-architecture -e arm64
211s dpkg-architecture: warning: cannot determine CC system type, falling back to default (native compilation)
211s + dpkg-architecture -e ppc64el
211s dpkg-architecture: warning: cannot determine CC system type, falling back to default (native compilation)
211s + exclude_tests=not test_old_pickle and not test_ard_accuracy_on_easy_problem and not test_precomputed_nearest_neighbors_filtering
211s + exclude_tests=not test_old_pickle and not test_ard_accuracy_on_easy_problem and not test_precomputed_nearest_neighbors_filtering and not test_common
211s + exclude_tests=not test_old_pickle and not test_ard_accuracy_on_easy_problem and not test_precomputed_nearest_neighbors_filtering and not test_common and not test_stacking_cv_influence
211s + exclude_tests=not test_old_pickle and not test_ard_accuracy_on_easy_problem and not test_precomputed_nearest_neighbors_filtering and not test_common and not test_stacking_cv_influence and not test_stacking_with_sample_weight
211s + dpkg-architecture -e armhf
211s dpkg-architecture: warning: cannot determine CC system type, falling back to default (native compilation)
211s + dpkg-architecture -e s390x
211s dpkg-architecture: warning: cannot determine CC system type, falling back to default (native compilation)
211s + dpkg-architecture -e alpha
211s dpkg-architecture: warning: cannot determine CC system type, falling back to default (native compilation)
211s + dpkg-architecture -e ppc64
211s dpkg-architecture: warning: cannot determine CC system type, falling back to default (native compilation)
211s + echo === python3.12 ===
211s + [ no = yes ]
211s + module=/usr/lib/python3/dist-packages/sklearn
211s + cd /tmp/autopkgtest.oYEcdA/autopkgtest_tmp
211s + python3.12 -m pytest -m not network -s -v --color=no /usr/lib/python3/dist-packages/sklearn -k not test_old_pickle and not test_ard_accuracy_on_easy_problem and not test_precomputed_nearest_neighbors_filtering and not test_common and not test_stacking_cv_influence and not test_stacking_with_sample_weight
211s === python3.12 ===
212s ============================= test session starts ==============================
212s platform linux -- Python 3.12.2, pytest-7.4.4, pluggy-1.4.0 -- /usr/bin/python3.12
212s cachedir: .pytest_cache
212s rootdir: /usr/lib/python3/dist-packages/sklearn
231s collecting ... collected 32786 items / 11732 deselected / 1 skipped / 21054 selected
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231s ../../../usr/lib/python3/dist-packages/sklearn/_loss/tests/test_loss.py::test_loss_on_specific_values[HalfBinomialLoss-0.0-37.0-37-0.9999999999999999-8.533047625744065e-17] PASSED
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231s ../../../usr/lib/python3/dist-packages/sklearn/_loss/tests/test_loss.py::test_loss_on_specific_values[HalfBinomialLoss-0.0-37.5-37.5-1-5.175555005801868e-17] PASSED
231s ../../../usr/lib/python3/dist-packages/sklearn/_loss/tests/test_loss.py::test_loss_on_specific_values[HalfBinomialLoss-0.0-232.8-232.8-1-1.4287342391028437e-101] PASSED
231s ../../../usr/lib/python3/dist-packages/sklearn/_loss/tests/test_loss.py::test_loss_on_specific_values[HalfBinomialLoss-1.0-1e+20-0-0-0] PASSED
231s ../../../usr/lib/python3/dist-packages/sklearn/_loss/tests/test_loss.py::test_loss_on_specific_values[HalfBinomialLoss-0.0-1e+20-1e+20-1-0] PASSED
231s ../../../usr/lib/python3/dist-packages/sklearn/_loss/tests/test_loss.py::test_loss_on_specific_values[HalfBinomialLoss-1.0-232.8-0--1.4287342391028437e-101-1.4287342391028437e-101] PASSED
231s ../../../usr/lib/python3/dist-packages/sklearn/_loss/tests/test_loss.py::test_loss_on_specific_values[HalfBinomialLoss-1.0-232.9-0-0-0] PASSED
231s ../../../usr/lib/python3/dist-packages/sklearn/_loss/tests/test_loss.py::test_loss_on_specific_values[HalfBinomialLoss-1.0-1000.0-0-0-0] PASSED
231s ../../../usr/lib/python3/dist-packages/sklearn/_loss/tests/test_loss.py::test_loss_on_specific_values[HalfBinomialLoss-0.0-1000.0-1000.0-1-0] PASSED
231s ../../../usr/lib/python3/dist-packages/sklearn/_loss/tests/test_loss.py::test_loss_on_specific_values[HalfMultinomialLoss-0.0-[0.2, 0.5, 0.3]-1.23983106084446-None-None] PASSED
231s ../../../usr/lib/python3/dist-packages/sklearn/_loss/tests/test_loss.py::test_loss_on_specific_values[HalfMultinomialLoss-1.0-[0.2, 0.5, 0.3]-0.93983106084446-None-None] PASSED
231s ../../../usr/lib/python3/dist-packages/sklearn/_loss/tests/test_loss.py::test_loss_on_specific_values[HalfMultinomialLoss-2.0-[0.2, 0.5, 0.3]-1.13983106084446-None-None] PASSED
231s ../../../usr/lib/python3/dist-packages/sklearn/_loss/tests/test_loss.py::test_loss_on_specific_values[HalfMultinomialLoss-2.0-[10000.0, 0, 7e-07]-9999.9999993-None-None] PASSED
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235s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_affinity_propagation.py::test_affinity_propagation[42-float32] SKIPPED
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235s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_affinity_propagation.py::test_affinity_propagation_precomputed Converged after 58 iterations.
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235s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_affinity_propagation.py::test_affinity_propagation_no_copy Converged after 58 iterations.
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243s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_k_means.py::test_minibatch_with_many_reassignments Init 1/1 with method k-means++
243s Inertia for init 1/1: 0.0
243s [MiniBatchKMeans] Reassigning 5 cluster centers.
243s Minibatch step 1/1000: mean batch inertia: 0.0
243s [MiniBatchKMeans] Reassigning 5 cluster centers.
243s Minibatch step 2/1000: mean batch inertia: 0.3080566660299014, ewa inertia: 0.3080566660299014
243s [MiniBatchKMeans] Reassigning 5 cluster centers.
243s Minibatch step 3/1000: mean batch inertia: 0.0, ewa inertia: 0.24705534602398033
243s [MiniBatchKMeans] Reassigning 5 cluster centers.
243s Minibatch step 4/1000: mean batch inertia: 0.186974938046355, ewa inertia: 0.23515823553336146
243s [MiniBatchKMeans] Reassigning 5 cluster centers.
243s Minibatch step 5/1000: mean batch inertia: 0.17171937800139067, ewa inertia: 0.2225960855270306
243s [MiniBatchKMeans] Reassigning 5 cluster centers.
243s Minibatch step 6/1000: mean batch inertia: 0.04981726059162696, ewa inertia: 0.18838245682695068
243s [MiniBatchKMeans] Reassigning 5 cluster centers.
243s Minibatch step 7/1000: mean batch inertia: 0.0, ewa inertia: 0.1510790000295347
243s [MiniBatchKMeans] Reassigning 5 cluster centers.
243s Minibatch step 8/1000: mean batch inertia: 0.15426641935844573, ewa inertia: 0.15171017217387353
243s [MiniBatchKMeans] Reassigning 5 cluster centers.
243s Minibatch step 9/1000: mean batch inertia: 0.0685628530481981, ewa inertia: 0.13524535650542296
243s [MiniBatchKMeans] Reassigning 5 cluster centers.
243s Minibatch step 10/1000: mean batch inertia: 0.0, ewa inertia: 0.10846409779147782
243s [MiniBatchKMeans] Reassigning 5 cluster centers.
243s Minibatch step 11/1000: mean batch inertia: 0.4318234426040357, ewa inertia: 0.1724956512197071
243s [MiniBatchKMeans] Reassigning 5 cluster centers.
243s Minibatch step 12/1000: mean batch inertia: 0.13429458644970244, ewa inertia: 0.16493108393851807
243s [MiniBatchKMeans] Reassigning 5 cluster centers.
243s Minibatch step 13/1000: mean batch inertia: 0.007648598714107941, ewa inertia: 0.13378603735942696
243s [MiniBatchKMeans] Reassigning 5 cluster centers.
243s Minibatch step 14/1000: mean batch inertia: 0.2729092698917637, ewa inertia: 0.16133519231632532
243s [MiniBatchKMeans] Reassigning 5 cluster centers.
243s Minibatch step 15/1000: mean batch inertia: 0.2680483935120117, ewa inertia: 0.18246651928576818
243s [MiniBatchKMeans] Reassigning 5 cluster centers.
243s Minibatch step 16/1000: mean batch inertia: 0.4901406248182324, ewa inertia: 0.24339208473774132
243s [MiniBatchKMeans] Reassigning 5 cluster centers.
243s Minibatch step 17/1000: mean batch inertia: 0.10111390241543201, ewa inertia: 0.21521818724817512
243s [MiniBatchKMeans] Reassigning 5 cluster centers.
243s Minibatch step 18/1000: mean batch inertia: 0.0413201003766903, ewa inertia: 0.18078292252114841
243s [MiniBatchKMeans] Reassigning 5 cluster centers.
243s Minibatch step 19/1000: mean batch inertia: 0.2887793327843154, ewa inertia: 0.20216835029603297
243s [MiniBatchKMeans] Reassigning 5 cluster centers.
243s Minibatch step 20/1000: mean batch inertia: 0.21754968154408685, ewa inertia: 0.20521415846396443
243s Converged (lack of improvement in inertia) at step 20/1000
243s PASSED
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256s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_optics.py::test_dbscan_optics_parity[float64-csr_array-euclidean-10-0.1] PASSED
257s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_optics.py::test_dbscan_optics_parity[float64-csr_array-euclidean-10-0.3] PASSED
257s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_optics.py::test_dbscan_optics_parity[float64-csr_array-euclidean-10-0.5] PASSED
257s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_optics.py::test_dbscan_optics_parity[float64-csr_array-euclidean-20-0.1] PASSED
257s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_optics.py::test_dbscan_optics_parity[float64-csr_array-euclidean-20-0.3] PASSED
258s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_optics.py::test_dbscan_optics_parity[float64-csr_array-euclidean-20-0.5] PASSED
258s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_optics.py::test_min_samples_edge_case[float32] SKIPPED
258s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_optics.py::test_min_samples_edge_case[float64] PASSED
258s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_optics.py::test_min_cluster_size[float32-2] SKIPPED
258s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_optics.py::test_min_cluster_size[float64-2] PASSED
258s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_optics.py::test_min_cluster_size_invalid2[csr_matrix] PASSED
258s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_optics.py::test_min_cluster_size_invalid2[csr_array] PASSED
258s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_optics.py::test_processing_order PASSED
258s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_optics.py::test_compare_to_ELKI PASSED
258s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_optics.py::test_extract_dbscan[float32] SKIPPED
258s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_optics.py::test_extract_dbscan[float64] PASSED
258s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_optics.py::test_precomputed_dists[float32-None] SKIPPED
258s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_optics.py::test_precomputed_dists[float32-csr_matrix] SKIPPED
258s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_optics.py::test_precomputed_dists[float32-csr_array] SKIPPED
258s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_optics.py::test_precomputed_dists[float64-None] PASSED
258s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_optics.py::test_precomputed_dists[float64-csr_matrix] PASSED
258s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_optics.py::test_precomputed_dists[float64-csr_array] PASSED
258s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_optics.py::test_optics_predecessor_correction_ordering PASSED
258s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_spectral_clustering[kmeans-arpack-csr_matrix] PASSED
258s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_spectral_clustering[kmeans-arpack-csr_array] PASSED
258s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_spectral_clustering[kmeans-lobpcg-csr_matrix] PASSED
258s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_spectral_clustering[kmeans-lobpcg-csr_array] PASSED
258s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_spectral_clustering[discretize-arpack-csr_matrix] PASSED
258s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_spectral_clustering[discretize-arpack-csr_array] PASSED
258s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_spectral_clustering[discretize-lobpcg-csr_matrix] PASSED
258s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_spectral_clustering[discretize-lobpcg-csr_array] PASSED
258s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_spectral_clustering[cluster_qr-arpack-csr_matrix] PASSED
258s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_spectral_clustering[cluster_qr-arpack-csr_array] PASSED
258s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_spectral_clustering[cluster_qr-lobpcg-csr_matrix] PASSED
258s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_spectral_clustering[cluster_qr-lobpcg-csr_array] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_spectral_clustering_sparse[kmeans-coo_matrix] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_spectral_clustering_sparse[kmeans-coo_array] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_spectral_clustering_sparse[discretize-coo_matrix] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_spectral_clustering_sparse[discretize-coo_array] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_spectral_clustering_sparse[cluster_qr-coo_matrix] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_spectral_clustering_sparse[cluster_qr-coo_array] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_affinities PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_cluster_qr PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_cluster_qr_permutation_invariance PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_discretize[50-coo_matrix] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_discretize[50-coo_array] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_discretize[100-coo_matrix] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_discretize[100-coo_array] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_discretize[150-coo_matrix] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_discretize[150-coo_array] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_discretize[500-coo_matrix] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_discretize[500-coo_array] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_spectral_clustering_with_arpack_amg_solvers PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_n_components PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_verbose[kmeans] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_verbose[discretize] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_verbose[cluster_qr] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_spectral_clustering_np_matrix_raises PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_spectral_clustering_not_infinite_loop SVD did not converge, randomizing and trying again
259s SVD did not converge, randomizing and trying again
259s SVD did not converge, randomizing and trying again
259s SVD did not converge, randomizing and trying again
259s SVD did not converge, randomizing and trying again
259s SVD did not converge, randomizing and trying again
259s SVD did not converge, randomizing and trying again
259s SVD did not converge, randomizing and trying again
259s SVD did not converge, randomizing and trying again
259s SVD did not converge, randomizing and trying again
259s SVD did not converge, randomizing and trying again
259s SVD did not converge, randomizing and trying again
259s SVD did not converge, randomizing and trying again
259s SVD did not converge, randomizing and trying again
259s SVD did not converge, randomizing and trying again
259s SVD did not converge, randomizing and trying again
259s SVD did not converge, randomizing and trying again
259s SVD did not converge, randomizing and trying again
259s SVD did not converge, randomizing and trying again
259s SVD did not converge, randomizing and trying again
259s SVD did not converge, randomizing and trying again
259s SVD did not converge, randomizing and trying again
259s SVD did not converge, randomizing and trying again
259s SVD did not converge, randomizing and trying again
259s SVD did not converge, randomizing and trying again
259s SVD did not converge, randomizing and trying again
259s SVD did not converge, randomizing and trying again
259s SVD did not converge, randomizing and trying again
259s SVD did not converge, randomizing and trying again
259s SVD did not converge, randomizing and trying again
259s PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_tuple_transformers_parameter PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_dataframe[dataframe] SKIPPED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_dataframe[polars] SKIPPED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_empty_columns[False-list-pandas] SKIPPED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_empty_columns[False-list-numpy] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_empty_columns[False-bool-pandas] SKIPPED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_empty_columns[False-bool-numpy] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_empty_columns[False-bool_int-pandas] SKIPPED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_empty_columns[False-bool_int-numpy] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_empty_columns[True-list-pandas] SKIPPED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_empty_columns[True-list-numpy] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_empty_columns[True-bool-pandas] SKIPPED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_empty_columns[True-bool-numpy] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_empty_columns[True-bool_int-pandas] SKIPPED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_empty_columns[True-bool_int-numpy] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_output_indices PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_output_indices_df SKIPPED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_sparse_array[csr_matrix] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_sparse_array[csr_array] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_list PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_sparse_stacking[csr_matrix] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_sparse_stacking[csr_array] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_mixed_cols_sparse PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_sparse_threshold PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_error_msg_1D PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_2D_transformer_output PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_2D_transformer_output_pandas SKIPPED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_invalid_columns[drop] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_invalid_columns[passthrough] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_invalid_transformer PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_make_column_transformer PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_make_column_transformer_pandas SKIPPED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_make_column_transformer_kwargs PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_make_column_transformer_remainder_transformer PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_get_set_params PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_named_estimators PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_cloning PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_get_feature_names PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_special_strings PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_numpy[key0] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_numpy[key1] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_numpy[key2] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_numpy[key3] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_pandas[key0] SKIPPED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_pandas[key1] SKIPPED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_pandas[key2] SKIPPED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_pandas[key3] SKIPPED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_pandas[pd-index] SKIPPED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_pandas[key5] SKIPPED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_pandas[key6] SKIPPED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_pandas[key7] SKIPPED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_pandas[key8] SKIPPED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_transformer[key0] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_transformer[key1] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_transformer[key2] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_transformer[key3] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_no_remaining_remainder_transformer PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_drops_all_remainder_transformer PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_sparse_remainder_transformer[csr_matrix] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_sparse_remainder_transformer[csr_array] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_drop_all_sparse_remainder_transformer[csr_matrix] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_drop_all_sparse_remainder_transformer[csr_array] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_get_set_params_with_remainder PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_no_estimators PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_verbose[fit-est0-\\[ColumnTransformer\\].*\\(1 of 3\\) Processing trans1.* total=.*\\n\\[ColumnTransformer\\].*\\(2 of 3\\) Processing trans2.* total=.*\\n\\[ColumnTransformer\\].*\\(3 of 3\\) Processing remainder.* total=.*\\n$] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_verbose[fit-est1-\\[ColumnTransformer\\].*\\(1 of 3\\) Processing trans1.* total=.*\\n\\[ColumnTransformer\\].*\\(2 of 3\\) Processing trans2.* total=.*\\n\\[ColumnTransformer\\].*\\(3 of 3\\) Processing remainder.* total=.*\\n$] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_verbose[fit-est2-\\[ColumnTransformer\\].*\\(1 of 2\\) Processing trans1.* total=.*\\n\\[ColumnTransformer\\].*\\(2 of 2\\) Processing remainder.* total=.*\\n$] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_verbose[fit-est3-\\[ColumnTransformer\\].*\\(1 of 3\\) Processing trans1.* total=.*\\n\\[ColumnTransformer\\].*\\(2 of 3\\) Processing trans2.* total=.*\\n\\[ColumnTransformer\\].*\\(3 of 3\\) Processing remainder.* total=.*\\n$] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_verbose[fit-est4-\\[ColumnTransformer\\].*\\(1 of 2\\) Processing trans1.* total=.*\\n\\[ColumnTransformer\\].*\\(2 of 2\\) Processing remainder.* total=.*\\n$] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_verbose[fit-est5-\\[ColumnTransformer\\].*\\(1 of 2\\) Processing trans1.* total=.*\\n\\[ColumnTransformer\\].*\\(2 of 2\\) Processing trans2.* total=.*\\n$] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_verbose[fit-est6-\\[ColumnTransformer\\].*\\(1 of 1\\) Processing trans1.* total=.*\\n$] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_verbose[fit_transform-est0-\\[ColumnTransformer\\].*\\(1 of 3\\) Processing trans1.* total=.*\\n\\[ColumnTransformer\\].*\\(2 of 3\\) Processing trans2.* total=.*\\n\\[ColumnTransformer\\].*\\(3 of 3\\) Processing remainder.* total=.*\\n$] PASSED
259s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_verbose[fit_transform-est1-\\[ColumnTransformer\\].*\\(1 of 3\\) Processing trans1.* total=.*\\n\\[ColumnTransformer\\].*\\(2 of 3\\) Processing trans2.* total=.*\\n\\[ColumnTransformer\\].*\\(3 of 3\\) Processing remainder.* total=.*\\n$] PASSED
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320s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_multiclass_classification[10000-8-1-0] SKIPPED
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320s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_multiclass_classification[10000-8-1-2] SKIPPED
320s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_multiclass_classification[10000-8-1-3] SKIPPED
320s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_multiclass_classification[10000-8-1-4] SKIPPED
320s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_multiclass_classification[10000-8-20-0] SKIPPED
320s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_multiclass_classification[10000-8-20-1] SKIPPED
320s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_multiclass_classification[10000-8-20-2] SKIPPED
320s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_multiclass_classification[10000-8-20-3] SKIPPED
320s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_multiclass_classification[10000-8-20-4] SKIPPED
320s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_init_parameters_validation[params0-Interaction constraints must be a sequence of tuples or lists-HistGradientBoostingClassifier-X0-y0] PASSED
320s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_init_parameters_validation[params0-Interaction constraints must be a sequence of tuples or lists-HistGradientBoostingRegressor-X1-y1] PASSED
320s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_init_parameters_validation[params1-Interaction constraints must consist of integer indices in \\[0, n_features - 1\\] = \\[.*\\], specifying the position of features,-HistGradientBoostingClassifier-X0-y0] PASSED
320s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_init_parameters_validation[params1-Interaction constraints must consist of integer indices in \\[0, n_features - 1\\] = \\[.*\\], specifying the position of features,-HistGradientBoostingRegressor-X1-y1] PASSED
320s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_init_parameters_validation[params2-Interaction constraints must consist of integer indices in \\[0, n_features - 1\\] = \\[.*\\], specifying the position of features,-HistGradientBoostingClassifier-X0-y0] PASSED
320s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_init_parameters_validation[params2-Interaction constraints must consist of integer indices in \\[0, n_features - 1\\] = \\[.*\\], specifying the position of features,-HistGradientBoostingRegressor-X1-y1] PASSED
320s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_init_parameters_validation[params3-Interaction constraints must consist of integer indices in \\[0, n_features - 1\\] = \\[.*\\], specifying the position of features,-HistGradientBoostingClassifier-X0-y0] PASSED
320s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_init_parameters_validation[params3-Interaction constraints must consist of integer indices in \\[0, n_features - 1\\] = \\[.*\\], specifying the position of features,-HistGradientBoostingRegressor-X1-y1] PASSED
320s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_regression[neg_mean_squared_error-0.1-True-5-1e-07] Binning 0.000 GB of training data: 0.007 s
320s Binning 0.000 GB of validation data: 0.000 s
320s Fitting gradient boosted rounds:
320s [1/200] 1 tree, 7 leaves, max depth = 5, train score: -15358.35025, val score: -6300.43824, in 0.002s
320s [2/200] 1 tree, 7 leaves, max depth = 5, train score: -13104.32978, val score: -6325.97255, in 0.002s
320s [3/200] 1 tree, 7 leaves, max depth = 5, train score: -11252.30542, val score: -6765.47467, in 0.002s
320s [4/200] 1 tree, 7 leaves, max depth = 3, train score: -9548.42871, val score: -5946.55057, in 0.002s
320s [5/200] 1 tree, 7 leaves, max depth = 3, train score: -8160.71607, val score: -5801.44392, in 0.002s
320s [6/200] 1 tree, 7 leaves, max depth = 4, train score: -6949.30177, val score: -5990.06510, in 0.002s
320s [7/200] 1 tree, 8 leaves, max depth = 4, train score: -5938.95550, val score: -5747.35047, in 0.002s
320s [8/200] 1 tree, 7 leaves, max depth = 4, train score: -5092.70049, val score: -5925.64796, in 0.002s
320s [9/200] 1 tree, 8 leaves, max depth = 4, train score: -4329.60640, val score: -5712.24723, in 0.002s
320s [10/200] 1 tree, 7 leaves, max depth = 3, train score: -3676.44803, val score: -5252.01430, in 0.002s
320s [11/200] 1 tree, 8 leaves, max depth = 4, train score: -3151.21069, val score: -5136.32086, in 0.002s
320s [12/200] 1 tree, 7 leaves, max depth = 6, train score: -2731.24118, val score: -5803.57996, in 0.002s
320s [13/200] 1 tree, 7 leaves, max depth = 3, train score: -2356.13319, val score: -5624.49048, in 0.002s
320s [14/200] 1 tree, 7 leaves, max depth = 3, train score: -2005.31881, val score: -5318.04851, in 0.002s
320s [15/200] 1 tree, 7 leaves, max depth = 6, train score: -1749.05965, val score: -5602.46345, in 0.002s
320s [16/200] 1 tree, 8 leaves, max depth = 4, train score: -1505.55297, val score: -5569.02553, in 0.002s
320s Fit 16 trees in 0.045 s, (116 total leaves)
320s Time spent computing histograms: 0.008s
320s Time spent finding best splits:  0.004s
320s Time spent applying splits:      0.003s
320s Time spent predicting:           0.000s
320s PASSED
320s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_regression[neg_mean_squared_error-None-True-5-0.1] Binning 0.000 GB of training data: 0.007 s
320s Fitting gradient boosted rounds:
320s [1/200] 1 tree, 8 leaves, max depth = 4, train score: -14225.47693, in 0.002s
320s [2/200] 1 tree, 8 leaves, max depth = 4, train score: -12176.96503, in 0.002s
320s [3/200] 1 tree, 8 leaves, max depth = 4, train score: -10249.37480, in 0.002s
320s [4/200] 1 tree, 8 leaves, max depth = 4, train score: -8688.02670, in 0.002s
320s [5/200] 1 tree, 8 leaves, max depth = 4, train score: -7478.47398, in 0.002s
320s [6/200] 1 tree, 7 leaves, max depth = 4, train score: -6428.70959, in 0.002s
320s [7/200] 1 tree, 7 leaves, max depth = 5, train score: -5483.47343, in 0.002s
320s [8/200] 1 tree, 8 leaves, max depth = 4, train score: -4676.16481, in 0.002s
320s [9/200] 1 tree, 7 leaves, max depth = 5, train score: -4027.81069, in 0.002s
320s [10/200] 1 tree, 8 leaves, max depth = 6, train score: -3479.43963, in 0.002s
320s [11/200] 1 tree, 8 leaves, max depth = 5, train score: -3033.81730, in 0.002s
320s [12/200] 1 tree, 8 leaves, max depth = 7, train score: -2650.46139, in 0.002s
320s [13/200] 1 tree, 8 leaves, max depth = 5, train score: -2311.20825, in 0.002s
320s [14/200] 1 tree, 8 leaves, max depth = 4, train score: -1991.69147, in 0.002s
320s [15/200] 1 tree, 7 leaves, max depth = 5, train score: -1744.11691, in 0.002s
320s [16/200] 1 tree, 8 leaves, max depth = 5, train score: -1538.03353, in 0.002s
320s [17/200] 1 tree, 8 leaves, max depth = 4, train score: -1333.36533, in 0.002s
320s [18/200] 1 tree, 7 leaves, max depth = 5, train score: -1176.11817, in 0.002s
320s [19/200] 1 tree, 8 leaves, max depth = 5, train score: -1044.90030, in 0.002s
320s [20/200] 1 tree, 9 leaves, max depth = 5, train score: -911.89338, in 0.002s
320s [21/200] 1 tree, 9 leaves, max depth = 6, train score: -800.92275, in 0.002s
320s [22/200] 1 tree, 8 leaves, max depth = 5, train score: -716.89535, in 0.002s
320s [23/200] 1 tree, 7 leaves, max depth = 6, train score: -654.42760, in 0.002s
320s [24/200] 1 tree, 9 leaves, max depth = 6, train score: -579.73365, in 0.002s
320s [25/200] 1 tree, 8 leaves, max depth = 5, train score: -515.78194, in 0.002s
320s [26/200] 1 tree, 8 leaves, max depth = 5, train score: -459.32122, in 0.002s
320s [27/200] 1 tree, 8 leaves, max depth = 5, train score: -409.24650, in 0.002s
320s [28/200] 1 tree, 9 leaves, max depth = 6, train score: -367.47790, in 0.002s
320s [29/200] 1 tree, 8 leaves, max depth = 5, train score: -335.66521, in 0.002s
320s [30/200] 1 tree, 9 leaves, max depth = 5, train score: -297.76401, in 0.002s
320s [31/200] 1 tree, 8 leaves, max depth = 6, train score: -272.96701, in 0.002s
320s [32/200] 1 tree, 9 leaves, max depth = 6, train score: -248.19832, in 0.002s
320s [33/200] 1 tree, 9 leaves, max depth = 7, train score: -225.81113, in 0.002s
320s [34/200] 1 tree, 8 leaves, max depth = 5, train score: -205.90128, in 0.002s
320s [35/200] 1 tree, 8 leaves, max depth = 5, train score: -189.92080, in 0.002s
320s [36/200] 1 tree, 8 leaves, max depth = 7, train score: -176.85519, in 0.002s
320s [37/200] 1 tree, 9 leaves, max depth = 6, train score: -163.84071, in 0.002s
320s [38/200] 1 tree, 8 leaves, max depth = 7, train score: -150.32988, in 0.002s
320s [39/200] 1 tree, 8 leaves, max depth = 5, train score: -139.70658, in 0.002s
320s [40/200] 1 tree, 7 leaves, max depth = 4, train score: -129.94358, in 0.002s
320s [41/200] 1 tree, 8 leaves, max depth = 6, train score: -121.59335, in 0.002s
320s [42/200] 1 tree, 8 leaves, max depth = 6, train score: -111.89196, in 0.002s
320s [43/200] 1 tree, 8 leaves, max depth = 7, train score: -104.45571, in 0.002s
320s [44/200] 1 tree, 9 leaves, max depth = 6, train score: -97.88336, in 0.002s
320s [45/200] 1 tree, 8 leaves, max depth = 7, train score: -90.87299, in 0.002s
320s [46/200] 1 tree, 7 leaves, max depth = 6, train score: -85.43359, in 0.002s
320s [47/200] 1 tree, 8 leaves, max depth = 6, train score: -80.05618, in 0.002s
320s [48/200] 1 tree, 8 leaves, max depth = 7, train score: -74.68913, in 0.002s
320s [49/200] 1 tree, 8 leaves, max depth = 7, train score: -70.65725, in 0.002s
320s [50/200] 1 tree, 9 leaves, max depth = 7, train score: -65.66765, in 0.002s
320s [51/200] 1 tree, 9 leaves, max depth = 7, train score: -59.75878, in 0.002s
320s [52/200] 1 tree, 9 leaves, max depth = 7, train score: -56.10258, in 0.002s
320s [53/200] 1 tree, 7 leaves, max depth = 5, train score: -51.34178, in 0.002s
320s [54/200] 1 tree, 9 leaves, max depth = 8, train score: -47.82090, in 0.002s
320s [55/200] 1 tree, 9 leaves, max depth = 6, train score: -42.45177, in 0.002s
320s [56/200] 1 tree, 9 leaves, max depth = 7, train score: -39.48291, in 0.002s
320s [57/200] 1 tree, 8 leaves, max depth = 6, train score: -36.44386, in 0.002s
320s [58/200] 1 tree, 8 leaves, max depth = 6, train score: -34.28559, in 0.002s
320s [59/200] 1 tree, 8 leaves, max depth = 7, train score: -31.95874, in 0.002s
320s [60/200] 1 tree, 9 leaves, max depth = 6, train score: -29.25862, in 0.002s
320s [61/200] 1 tree, 9 leaves, max depth = 7, train score: -27.72101, in 0.002s
320s [62/200] 1 tree, 8 leaves, max depth = 7, train score: -26.30325, in 0.002s
320s [63/200] 1 tree, 9 leaves, max depth = 7, train score: -24.65700, in 0.002s
320s [64/200] 1 tree, 8 leaves, max depth = 7, train score: -23.47527, in 0.002s
320s [65/200] 1 tree, 8 leaves, max depth = 7, train score: -22.14954, in 0.002s
320s [66/200] 1 tree, 8 leaves, max depth = 7, train score: -21.11851, in 0.002s
320s [67/200] 1 tree, 9 leaves, max depth = 7, train score: -19.91447, in 0.002s
320s [68/200] 1 tree, 8 leaves, max depth = 7, train score: -18.78488, in 0.002s
320s [69/200] 1 tree, 9 leaves, max depth = 8, train score: -17.74892, in 0.002s
320s [70/200] 1 tree, 7 leaves, max depth = 6, train score: -17.00395, in 0.002s
320s [71/200] 1 tree, 9 leaves, max depth = 8, train score: -16.01575, in 0.002s
320s [72/200] 1 tree, 8 leaves, max depth = 6, train score: -15.10901, in 0.002s
320s [73/200] 1 tree, 8 leaves, max depth = 6, train score: -14.44367, in 0.002s
320s [74/200] 1 tree, 9 leaves, max depth = 7, train score: -13.62321, in 0.002s
320s [75/200] 1 tree, 8 leaves, max depth = 7, train score: -12.96723, in 0.002s
320s [76/200] 1 tree, 8 leaves, max depth = 6, train score: -12.43202, in 0.002s
320s [77/200] 1 tree, 9 leaves, max depth = 7, train score: -11.79314, in 0.002s
320s [78/200] 1 tree, 8 leaves, max depth = 6, train score: -11.23240, in 0.002s
320s [79/200] 1 tree, 10 leaves, max depth = 8, train score: -10.68134, in 0.002s
320s [80/200] 1 tree, 9 leaves, max depth = 7, train score: -10.15603, in 0.002s
320s [81/200] 1 tree, 9 leaves, max depth = 7, train score: -9.64009, in 0.002s
320s [82/200] 1 tree, 8 leaves, max depth = 6, train score: -9.21361, in 0.002s
320s [83/200] 1 tree, 9 leaves, max depth = 7, train score: -8.73431, in 0.002s
320s [84/200] 1 tree, 8 leaves, max depth = 7, train score: -8.33448, in 0.002s
320s [85/200] 1 tree, 9 leaves, max depth = 6, train score: -7.99919, in 0.002s
320s [86/200] 1 tree, 8 leaves, max depth = 7, train score: -7.62291, in 0.002s
320s [87/200] 1 tree, 9 leaves, max depth = 7, train score: -7.26931, in 0.002s
320s [88/200] 1 tree, 9 leaves, max depth = 7, train score: -6.92953, in 0.002s
320s [89/200] 1 tree, 9 leaves, max depth = 6, train score: -6.55974, in 0.002s
320s [90/200] 1 tree, 9 leaves, max depth = 8, train score: -6.26552, in 0.002s
320s [91/200] 1 tree, 9 leaves, max depth = 7, train score: -6.02406, in 0.002s
320s [92/200] 1 tree, 8 leaves, max depth = 7, train score: -5.76306, in 0.002s
320s [93/200] 1 tree, 8 leaves, max depth = 6, train score: -5.53783, in 0.002s
320s [94/200] 1 tree, 8 leaves, max depth = 7, train score: -5.29419, in 0.002s
320s [95/200] 1 tree, 9 leaves, max depth = 7, train score: -5.05433, in 0.002s
320s [96/200] 1 tree, 9 leaves, max depth = 7, train score: -4.82937, in 0.002s
320s [97/200] 1 tree, 9 leaves, max depth = 7, train score: -4.62345, in 0.002s
320s [98/200] 1 tree, 8 leaves, max depth = 7, train score: -4.43211, in 0.002s
320s [99/200] 1 tree, 9 leaves, max depth = 7, train score: -4.23661, in 0.002s
320s [100/200] 1 tree, 9 leaves, max depth = 6, train score: -4.03495, in 0.002s
320s [101/200] 1 tree, 8 leaves, max depth = 6, train score: -3.87910, in 0.002s
320s [102/200] 1 tree, 9 leaves, max depth = 7, train score: -3.71716, in 0.002s
320s [103/200] 1 tree, 9 leaves, max depth = 7, train score: -3.55866, in 0.002s
320s [104/200] 1 tree, 8 leaves, max depth = 7, train score: -3.40824, in 0.002s
320s [105/200] 1 tree, 8 leaves, max depth = 6, train score: -3.26870, in 0.002s
320s [106/200] 1 tree, 8 leaves, max depth = 7, train score: -3.13239, in 0.002s
320s [107/200] 1 tree, 9 leaves, max depth = 8, train score: -3.00236, in 0.002s
320s [108/200] 1 tree, 8 leaves, max depth = 7, train score: -2.88012, in 0.002s
320s [109/200] 1 tree, 8 leaves, max depth = 5, train score: -2.77238, in 0.002s
320s [110/200] 1 tree, 9 leaves, max depth = 7, train score: -2.65749, in 0.002s
320s [111/200] 1 tree, 9 leaves, max depth = 7, train score: -2.54903, in 0.002s
320s [112/200] 1 tree, 8 leaves, max depth = 6, train score: -2.45330, in 0.002s
320s [113/200] 1 tree, 9 leaves, max depth = 8, train score: -2.35016, in 0.002s
320s [114/200] 1 tree, 8 leaves, max depth = 7, train score: -2.25157, in 0.002s
320s [115/200] 1 tree, 8 leaves, max depth = 7, train score: -2.16238, in 0.002s
320s [116/200] 1 tree, 9 leaves, max depth = 7, train score: -2.07315, in 0.002s
320s [117/200] 1 tree, 8 leaves, max depth = 7, train score: -1.99111, in 0.002s
320s [118/200] 1 tree, 9 leaves, max depth = 7, train score: -1.91103, in 0.002s
320s [119/200] 1 tree, 9 leaves, max depth = 7, train score: -1.83423, in 0.002s
320s [120/200] 1 tree, 8 leaves, max depth = 6, train score: -1.75617, in 0.002s
320s [121/200] 1 tree, 8 leaves, max depth = 5, train score: -1.69233, in 0.002s
320s [122/200] 1 tree, 8 leaves, max depth = 6, train score: -1.62507, in 0.002s
320s [123/200] 1 tree, 8 leaves, max depth = 7, train score: -1.56136, in 0.002s
320s [124/200] 1 tree, 8 leaves, max depth = 5, train score: -1.50232, in 0.002s
320s [125/200] 1 tree, 9 leaves, max depth = 8, train score: -1.44286, in 0.002s
320s [126/200] 1 tree, 9 leaves, max depth = 8, train score: -1.38574, in 0.002s
320s [127/200] 1 tree, 8 leaves, max depth = 7, train score: -1.33112, in 0.002s
320s [128/200] 1 tree, 8 leaves, max depth = 7, train score: -1.27793, in 0.002s
320s [129/200] 1 tree, 8 leaves, max depth = 6, train score: -1.22784, in 0.002s
320s [130/200] 1 tree, 8 leaves, max depth = 7, train score: -1.17825, in 0.002s
320s [131/200] 1 tree, 9 leaves, max depth = 7, train score: -1.13201, in 0.002s
320s [132/200] 1 tree, 10 leaves, max depth = 8, train score: -1.08851, in 0.002s
320s [133/200] 1 tree, 9 leaves, max depth = 8, train score: -1.04661, in 0.002s
320s [134/200] 1 tree, 7 leaves, max depth = 5, train score: -1.00801, in 0.002s
320s [135/200] 1 tree, 9 leaves, max depth = 7, train score: -0.96822, in 0.002s
320s [136/200] 1 tree, 8 leaves, max depth = 7, train score: -0.93049, in 0.002s
320s [137/200] 1 tree, 8 leaves, max depth = 6, train score: -0.89478, in 0.002s
320s [138/200] 1 tree, 9 leaves, max depth = 7, train score: -0.85961, in 0.002s
320s [139/200] 1 tree, 8 leaves, max depth = 6, train score: -0.82579, in 0.002s
320s [140/200] 1 tree, 8 leaves, max depth = 6, train score: -0.79411, in 0.002s
320s [141/200] 1 tree, 7 leaves, max depth = 6, train score: -0.76506, in 0.002s
320s [142/200] 1 tree, 8 leaves, max depth = 7, train score: -0.73536, in 0.002s
320s [143/200] 1 tree, 9 leaves, max depth = 7, train score: -0.70690, in 0.002s
320s [144/200] 1 tree, 8 leaves, max depth = 7, train score: -0.68008, in 0.002s
320s [145/200] 1 tree, 8 leaves, max depth = 5, train score: -0.65577, in 0.002s
320s [146/200] 1 tree, 9 leaves, max depth = 7, train score: -0.63126, in 0.002s
320s [147/200] 1 tree, 8 leaves, max depth = 6, train score: -0.60730, in 0.002s
320s [148/200] 1 tree, 9 leaves, max depth = 5, train score: -0.58326, in 0.002s
320s [149/200] 1 tree, 7 leaves, max depth = 5, train score: -0.56165, in 0.002s
320s [150/200] 1 tree, 9 leaves, max depth = 6, train score: -0.53979, in 0.002s
320s [151/200] 1 tree, 9 leaves, max depth = 8, train score: -0.51940, in 0.002s
320s [152/200] 1 tree, 9 leaves, max depth = 7, train score: -0.49971, in 0.002s
320s [153/200] 1 tree, 9 leaves, max depth = 7, train score: -0.48096, in 0.002s
320s [154/200] 1 tree, 9 leaves, max depth = 6, train score: -0.46280, in 0.002s
320s Fit 154 trees in 0.324 s, (1283 total leaves)
320s Time spent computing histograms: 0.096s
320s Time spent finding best splits:  0.055s
320s Time spent applying splits:      0.028s
320s Time spent predicting:           0.003s
320s PASSED
320s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_regression[None-0.1-True-5-1e-07] Binning 0.000 GB of training data: 0.007 s
320s Binning 0.000 GB of validation data: 0.000 s
320s Fitting gradient boosted rounds:
320s [1/200] 1 tree, 7 leaves, max depth = 5, train score: 0.14265, val score: 0.00147, in 0.002s
320s [2/200] 1 tree, 7 leaves, max depth = 5, train score: 0.26848, val score: -0.00258, in 0.002s
320s [3/200] 1 tree, 7 leaves, max depth = 5, train score: 0.37186, val score: -0.07224, in 0.002s
320s [4/200] 1 tree, 7 leaves, max depth = 3, train score: 0.46698, val score: 0.05755, in 0.002s
320s [5/200] 1 tree, 7 leaves, max depth = 3, train score: 0.54444, val score: 0.08055, in 0.002s
320s [6/200] 1 tree, 7 leaves, max depth = 4, train score: 0.61207, val score: 0.05066, in 0.002s
320s [7/200] 1 tree, 8 leaves, max depth = 4, train score: 0.66847, val score: 0.08912, in 0.002s
320s [8/200] 1 tree, 7 leaves, max depth = 4, train score: 0.71571, val score: 0.06086, in 0.002s
320s [9/200] 1 tree, 8 leaves, max depth = 4, train score: 0.75831, val score: 0.09469, in 0.003s
320s [10/200] 1 tree, 7 leaves, max depth = 3, train score: 0.79477, val score: 0.16763, in 0.002s
320s [11/200] 1 tree, 8 leaves, max depth = 4, train score: 0.82409, val score: 0.18596, in 0.003s
320s [12/200] 1 tree, 7 leaves, max depth = 6, train score: 0.84753, val score: 0.08021, in 0.003s
320s [13/200] 1 tree, 7 leaves, max depth = 3, train score: 0.86847, val score: 0.10859, in 0.002s
320s [14/200] 1 tree, 7 leaves, max depth = 3, train score: 0.88806, val score: 0.15716, in 0.002s
320s [15/200] 1 tree, 7 leaves, max depth = 6, train score: 0.90236, val score: 0.11208, in 0.003s
320s [16/200] 1 tree, 8 leaves, max depth = 4, train score: 0.91596, val score: 0.11738, in 0.003s
320s Fit 16 trees in 0.048 s, (116 total leaves)
320s Time spent computing histograms: 0.007s
320s Time spent finding best splits:  0.004s
320s Time spent applying splits:      0.003s
320s Time spent predicting:           0.000s
320s PASSED
320s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_regression[None-None-True-5-0.1] Binning 0.000 GB of training data: 0.007 s
320s Fitting gradient boosted rounds:
320s [1/200] 1 tree, 8 leaves, max depth = 4, train score: 0.15089, in 0.002s
320s [2/200] 1 tree, 8 leaves, max depth = 4, train score: 0.27316, in 0.002s
320s [3/200] 1 tree, 8 leaves, max depth = 4, train score: 0.38822, in 0.002s
320s [4/200] 1 tree, 8 leaves, max depth = 4, train score: 0.48142, in 0.002s
320s [5/200] 1 tree, 8 leaves, max depth = 4, train score: 0.55361, in 0.002s
320s [6/200] 1 tree, 7 leaves, max depth = 4, train score: 0.61627, in 0.002s
320s [7/200] 1 tree, 7 leaves, max depth = 5, train score: 0.67269, in 0.002s
320s [8/200] 1 tree, 8 leaves, max depth = 4, train score: 0.72088, in 0.002s
320s [9/200] 1 tree, 7 leaves, max depth = 5, train score: 0.75958, in 0.002s
320s [10/200] 1 tree, 8 leaves, max depth = 6, train score: 0.79231, in 0.002s
320s [11/200] 1 tree, 8 leaves, max depth = 5, train score: 0.81891, in 0.002s
320s [12/200] 1 tree, 8 leaves, max depth = 7, train score: 0.84180, in 0.002s
320s [13/200] 1 tree, 8 leaves, max depth = 5, train score: 0.86205, in 0.002s
320s [14/200] 1 tree, 8 leaves, max depth = 4, train score: 0.88112, in 0.002s
320s [15/200] 1 tree, 7 leaves, max depth = 5, train score: 0.89589, in 0.002s
320s [16/200] 1 tree, 8 leaves, max depth = 5, train score: 0.90820, in 0.002s
320s Fit 16 trees in 0.041 s, (124 total leaves)
320s Time spent computing histograms: 0.008s
320s Time spent finding best splits:  0.005s
320s Time spent applying splits:      0.003s
320s Time spent predicting:           0.000s
320s PASSED
320s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_regression[loss-0.1-True-5-1e-07] Binning 0.000 GB of training data: 0.007 s
320s Binning 0.000 GB of validation data: 0.000 s
320s Fitting gradient boosted rounds:
320s [1/200] 1 tree, 7 leaves, max depth = 5, train loss: 7679.17512, val loss: 3150.21912, in 0.002s
320s [2/200] 1 tree, 7 leaves, max depth = 5, train loss: 6552.16489, val loss: 3162.98628, in 0.001s
320s [3/200] 1 tree, 7 leaves, max depth = 5, train loss: 5626.15271, val loss: 3382.73733, in 0.002s
320s [4/200] 1 tree, 7 leaves, max depth = 3, train loss: 4774.21435, val loss: 2973.27528, in 0.001s
320s [5/200] 1 tree, 7 leaves, max depth = 3, train loss: 4080.35804, val loss: 2900.72196, in 0.001s
320s [6/200] 1 tree, 7 leaves, max depth = 4, train loss: 3474.65088, val loss: 2995.03255, in 0.001s
321s [7/200] 1 tree, 8 leaves, max depth = 4, train loss: 2969.47775, val loss: 2873.67524, in 0.001s
321s [8/200] 1 tree, 7 leaves, max depth = 4, train loss: 2546.35024, val loss: 2962.82398, in 0.001s
321s [9/200] 1 tree, 8 leaves, max depth = 4, train loss: 2164.80320, val loss: 2856.12362, in 0.002s
321s [10/200] 1 tree, 7 leaves, max depth = 3, train loss: 1838.22402, val loss: 2626.00715, in 0.001s
321s [11/200] 1 tree, 8 leaves, max depth = 4, train loss: 1575.60534, val loss: 2568.16043, in 0.001s
321s [12/200] 1 tree, 7 leaves, max depth = 6, train loss: 1365.62059, val loss: 2901.78998, in 0.002s
321s [13/200] 1 tree, 7 leaves, max depth = 3, train loss: 1178.06659, val loss: 2812.24524, in 0.001s
321s [14/200] 1 tree, 7 leaves, max depth = 3, train loss: 1002.65940, val loss: 2659.02425, in 0.001s
321s [15/200] 1 tree, 7 leaves, max depth = 6, train loss: 874.52983, val loss: 2801.23172, in 0.002s
321s [16/200] 1 tree, 8 leaves, max depth = 4, train loss: 752.77649, val loss: 2784.51277, in 0.002s
321s Fit 16 trees in 0.032 s, (116 total leaves)
321s Time spent computing histograms: 0.007s
321s Time spent finding best splits:  0.004s
321s Time spent applying splits:      0.002s
321s Time spent predicting:           0.000s
321s PASSED
321s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_regression[loss-None-True-5-0.1] Binning 0.000 GB of training data: 0.007 s
321s Fitting gradient boosted rounds:
321s [1/200] 1 tree, 8 leaves, max depth = 4, train loss: 7112.73847, in 0.002s
321s [2/200] 1 tree, 8 leaves, max depth = 4, train loss: 6088.48251, in 0.002s
321s [3/200] 1 tree, 8 leaves, max depth = 4, train loss: 5124.68740, in 0.001s
321s [4/200] 1 tree, 8 leaves, max depth = 4, train loss: 4344.01335, in 0.002s
321s [5/200] 1 tree, 8 leaves, max depth = 4, train loss: 3739.23699, in 0.002s
321s [6/200] 1 tree, 7 leaves, max depth = 4, train loss: 3214.35480, in 0.001s
321s [7/200] 1 tree, 7 leaves, max depth = 5, train loss: 2741.73671, in 0.001s
321s [8/200] 1 tree, 8 leaves, max depth = 4, train loss: 2338.08241, in 0.002s
321s [9/200] 1 tree, 7 leaves, max depth = 5, train loss: 2013.90534, in 0.001s
321s [10/200] 1 tree, 8 leaves, max depth = 6, train loss: 1739.71981, in 0.002s
321s [11/200] 1 tree, 8 leaves, max depth = 5, train loss: 1516.90865, in 0.002s
321s [12/200] 1 tree, 8 leaves, max depth = 7, train loss: 1325.23069, in 0.002s
321s [13/200] 1 tree, 8 leaves, max depth = 5, train loss: 1155.60412, in 0.002s
321s [14/200] 1 tree, 8 leaves, max depth = 4, train loss: 995.84574, in 0.001s
321s [15/200] 1 tree, 7 leaves, max depth = 5, train loss: 872.05846, in 0.001s
321s [16/200] 1 tree, 8 leaves, max depth = 5, train loss: 769.01676, in 0.001s
321s [17/200] 1 tree, 8 leaves, max depth = 4, train loss: 666.68267, in 0.001s
321s [18/200] 1 tree, 7 leaves, max depth = 5, train loss: 588.05909, in 0.001s
321s [19/200] 1 tree, 8 leaves, max depth = 5, train loss: 522.45015, in 0.002s
321s [20/200] 1 tree, 9 leaves, max depth = 5, train loss: 455.94669, in 0.002s
321s [21/200] 1 tree, 9 leaves, max depth = 6, train loss: 400.46137, in 0.002s
321s [22/200] 1 tree, 8 leaves, max depth = 5, train loss: 358.44767, in 0.002s
321s [23/200] 1 tree, 7 leaves, max depth = 6, train loss: 327.21380, in 0.002s
321s [24/200] 1 tree, 9 leaves, max depth = 6, train loss: 289.86683, in 0.002s
321s [25/200] 1 tree, 8 leaves, max depth = 5, train loss: 257.89097, in 0.002s
321s [26/200] 1 tree, 8 leaves, max depth = 5, train loss: 229.66061, in 0.001s
321s [27/200] 1 tree, 8 leaves, max depth = 5, train loss: 204.62325, in 0.002s
321s [28/200] 1 tree, 9 leaves, max depth = 6, train loss: 183.73895, in 0.002s
321s [29/200] 1 tree, 8 leaves, max depth = 5, train loss: 167.83260, in 0.002s
321s [30/200] 1 tree, 9 leaves, max depth = 5, train loss: 148.88201, in 0.002s
321s [31/200] 1 tree, 8 leaves, max depth = 6, train loss: 136.48351, in 0.002s
321s [32/200] 1 tree, 9 leaves, max depth = 6, train loss: 124.09916, in 0.002s
321s [33/200] 1 tree, 9 leaves, max depth = 7, train loss: 112.90556, in 0.002s
321s [34/200] 1 tree, 8 leaves, max depth = 5, train loss: 102.95064, in 0.002s
321s [35/200] 1 tree, 8 leaves, max depth = 5, train loss: 94.96040, in 0.002s
321s [36/200] 1 tree, 8 leaves, max depth = 7, train loss: 88.42759, in 0.002s
321s [37/200] 1 tree, 9 leaves, max depth = 6, train loss: 81.92035, in 0.002s
321s [38/200] 1 tree, 8 leaves, max depth = 7, train loss: 75.16494, in 0.002s
321s [39/200] 1 tree, 8 leaves, max depth = 5, train loss: 69.85329, in 0.002s
321s [40/200] 1 tree, 7 leaves, max depth = 4, train loss: 64.97179, in 0.001s
321s [41/200] 1 tree, 8 leaves, max depth = 6, train loss: 60.79667, in 0.002s
321s [42/200] 1 tree, 8 leaves, max depth = 6, train loss: 55.94598, in 0.002s
321s [43/200] 1 tree, 8 leaves, max depth = 7, train loss: 52.22785, in 0.002s
321s [44/200] 1 tree, 9 leaves, max depth = 6, train loss: 48.94168, in 0.002s
321s [45/200] 1 tree, 8 leaves, max depth = 7, train loss: 45.43650, in 0.002s
321s [46/200] 1 tree, 7 leaves, max depth = 6, train loss: 42.71680, in 0.002s
321s [47/200] 1 tree, 8 leaves, max depth = 6, train loss: 40.02809, in 0.002s
321s [48/200] 1 tree, 8 leaves, max depth = 7, train loss: 37.34457, in 0.002s
321s [49/200] 1 tree, 8 leaves, max depth = 7, train loss: 35.32862, in 0.002s
321s [50/200] 1 tree, 9 leaves, max depth = 7, train loss: 32.83382, in 0.002s
321s [51/200] 1 tree, 9 leaves, max depth = 7, train loss: 29.87939, in 0.002s
321s [52/200] 1 tree, 9 leaves, max depth = 7, train loss: 28.05129, in 0.002s
321s [53/200] 1 tree, 7 leaves, max depth = 5, train loss: 25.67089, in 0.002s
321s [54/200] 1 tree, 9 leaves, max depth = 8, train loss: 23.91045, in 0.002s
321s [55/200] 1 tree, 9 leaves, max depth = 6, train loss: 21.22589, in 0.002s
321s [56/200] 1 tree, 9 leaves, max depth = 7, train loss: 19.74145, in 0.002s
321s [57/200] 1 tree, 8 leaves, max depth = 6, train loss: 18.22193, in 0.002s
321s [58/200] 1 tree, 8 leaves, max depth = 6, train loss: 17.14279, in 0.002s
321s [59/200] 1 tree, 8 leaves, max depth = 7, train loss: 15.97937, in 0.002s
321s [60/200] 1 tree, 9 leaves, max depth = 6, train loss: 14.62931, in 0.002s
321s [61/200] 1 tree, 9 leaves, max depth = 7, train loss: 13.86051, in 0.002s
321s [62/200] 1 tree, 8 leaves, max depth = 7, train loss: 13.15163, in 0.002s
321s [63/200] 1 tree, 9 leaves, max depth = 7, train loss: 12.32850, in 0.002s
321s [64/200] 1 tree, 8 leaves, max depth = 7, train loss: 11.73763, in 0.002s
321s [65/200] 1 tree, 8 leaves, max depth = 7, train loss: 11.07477, in 0.002s
321s [66/200] 1 tree, 8 leaves, max depth = 7, train loss: 10.55925, in 0.002s
321s [67/200] 1 tree, 9 leaves, max depth = 7, train loss: 9.95723, in 0.002s
321s [68/200] 1 tree, 8 leaves, max depth = 7, train loss: 9.39244, in 0.002s
321s [69/200] 1 tree, 9 leaves, max depth = 8, train loss: 8.87446, in 0.002s
321s [70/200] 1 tree, 7 leaves, max depth = 6, train loss: 8.50197, in 0.002s
321s [71/200] 1 tree, 9 leaves, max depth = 8, train loss: 8.00788, in 0.002s
321s [72/200] 1 tree, 8 leaves, max depth = 6, train loss: 7.55450, in 0.002s
321s [73/200] 1 tree, 8 leaves, max depth = 6, train loss: 7.22184, in 0.002s
321s [74/200] 1 tree, 9 leaves, max depth = 7, train loss: 6.81160, in 0.002s
321s [75/200] 1 tree, 8 leaves, max depth = 7, train loss: 6.48362, in 0.002s
321s [76/200] 1 tree, 8 leaves, max depth = 6, train loss: 6.21601, in 0.002s
321s [77/200] 1 tree, 9 leaves, max depth = 7, train loss: 5.89657, in 0.002s
321s [78/200] 1 tree, 8 leaves, max depth = 6, train loss: 5.61620, in 0.002s
321s [79/200] 1 tree, 10 leaves, max depth = 8, train loss: 5.34067, in 0.002s
321s [80/200] 1 tree, 9 leaves, max depth = 7, train loss: 5.07802, in 0.002s
321s [81/200] 1 tree, 9 leaves, max depth = 7, train loss: 4.82004, in 0.002s
321s [82/200] 1 tree, 8 leaves, max depth = 6, train loss: 4.60681, in 0.002s
321s [83/200] 1 tree, 9 leaves, max depth = 7, train loss: 4.36715, in 0.002s
321s [84/200] 1 tree, 8 leaves, max depth = 7, train loss: 4.16724, in 0.002s
321s [85/200] 1 tree, 9 leaves, max depth = 6, train loss: 3.99960, in 0.002s
321s [86/200] 1 tree, 8 leaves, max depth = 7, train loss: 3.81145, in 0.002s
321s [87/200] 1 tree, 9 leaves, max depth = 7, train loss: 3.63466, in 0.002s
321s [88/200] 1 tree, 9 leaves, max depth = 7, train loss: 3.46476, in 0.002s
321s [89/200] 1 tree, 9 leaves, max depth = 6, train loss: 3.27987, in 0.002s
321s [90/200] 1 tree, 9 leaves, max depth = 8, train loss: 3.13276, in 0.002s
321s [91/200] 1 tree, 9 leaves, max depth = 7, train loss: 3.01203, in 0.002s
321s [92/200] 1 tree, 8 leaves, max depth = 7, train loss: 2.88153, in 0.002s
321s [93/200] 1 tree, 8 leaves, max depth = 6, train loss: 2.76891, in 0.002s
321s [94/200] 1 tree, 8 leaves, max depth = 7, train loss: 2.64709, in 0.002s
321s [95/200] 1 tree, 9 leaves, max depth = 7, train loss: 2.52717, in 0.002s
321s [96/200] 1 tree, 9 leaves, max depth = 7, train loss: 2.41469, in 0.002s
321s [97/200] 1 tree, 9 leaves, max depth = 7, train loss: 2.31173, in 0.002s
321s [98/200] 1 tree, 8 leaves, max depth = 7, train loss: 2.21605, in 0.002s
321s [99/200] 1 tree, 9 leaves, max depth = 7, train loss: 2.11831, in 0.002s
321s [100/200] 1 tree, 9 leaves, max depth = 6, train loss: 2.01748, in 0.002s
321s [101/200] 1 tree, 8 leaves, max depth = 6, train loss: 1.93955, in 0.002s
321s [102/200] 1 tree, 9 leaves, max depth = 7, train loss: 1.85858, in 0.002s
321s [103/200] 1 tree, 9 leaves, max depth = 7, train loss: 1.77933, in 0.002s
321s [104/200] 1 tree, 8 leaves, max depth = 7, train loss: 1.70412, in 0.002s
321s [105/200] 1 tree, 8 leaves, max depth = 6, train loss: 1.63435, in 0.002s
321s [106/200] 1 tree, 8 leaves, max depth = 7, train loss: 1.56619, in 0.002s
321s [107/200] 1 tree, 9 leaves, max depth = 8, train loss: 1.50118, in 0.002s
321s [108/200] 1 tree, 8 leaves, max depth = 7, train loss: 1.44006, in 0.002s
321s [109/200] 1 tree, 8 leaves, max depth = 5, train loss: 1.38619, in 0.002s
321s [110/200] 1 tree, 9 leaves, max depth = 7, train loss: 1.32874, in 0.002s
321s [111/200] 1 tree, 9 leaves, max depth = 7, train loss: 1.27452, in 0.002s
321s [112/200] 1 tree, 8 leaves, max depth = 6, train loss: 1.22665, in 0.002s
321s [113/200] 1 tree, 9 leaves, max depth = 8, train loss: 1.17508, in 0.002s
321s [114/200] 1 tree, 8 leaves, max depth = 7, train loss: 1.12579, in 0.002s
321s [115/200] 1 tree, 8 leaves, max depth = 7, train loss: 1.08119, in 0.002s
321s [116/200] 1 tree, 9 leaves, max depth = 7, train loss: 1.03657, in 0.002s
321s [117/200] 1 tree, 8 leaves, max depth = 7, train loss: 0.99556, in 0.002s
321s [118/200] 1 tree, 9 leaves, max depth = 7, train loss: 0.95551, in 0.002s
321s [119/200] 1 tree, 9 leaves, max depth = 7, train loss: 0.91712, in 0.002s
321s [120/200] 1 tree, 8 leaves, max depth = 6, train loss: 0.87809, in 0.002s
321s [121/200] 1 tree, 8 leaves, max depth = 5, train loss: 0.84616, in 0.002s
321s [122/200] 1 tree, 8 leaves, max depth = 6, train loss: 0.81253, in 0.002s
321s [123/200] 1 tree, 8 leaves, max depth = 7, train loss: 0.78068, in 0.002s
321s [124/200] 1 tree, 8 leaves, max depth = 5, train loss: 0.75116, in 0.002s
321s [125/200] 1 tree, 9 leaves, max depth = 8, train loss: 0.72143, in 0.002s
321s [126/200] 1 tree, 9 leaves, max depth = 8, train loss: 0.69287, in 0.002s
321s [127/200] 1 tree, 8 leaves, max depth = 7, train loss: 0.66556, in 0.002s
321s [128/200] 1 tree, 8 leaves, max depth = 7, train loss: 0.63896, in 0.002s
321s [129/200] 1 tree, 8 leaves, max depth = 6, train loss: 0.61392, in 0.002s
321s [130/200] 1 tree, 8 leaves, max depth = 7, train loss: 0.58913, in 0.002s
321s [131/200] 1 tree, 9 leaves, max depth = 7, train loss: 0.56601, in 0.002s
321s [132/200] 1 tree, 10 leaves, max depth = 8, train loss: 0.54426, in 0.002s
321s [133/200] 1 tree, 9 leaves, max depth = 8, train loss: 0.52331, in 0.002s
321s [134/200] 1 tree, 7 leaves, max depth = 5, train loss: 0.50401, in 0.001s
321s [135/200] 1 tree, 9 leaves, max depth = 7, train loss: 0.48411, in 0.002s
321s [136/200] 1 tree, 8 leaves, max depth = 7, train loss: 0.46525, in 0.002s
321s [137/200] 1 tree, 8 leaves, max depth = 6, train loss: 0.44739, in 0.002s
321s Fit 137 trees in 0.248 s, (1140 total leaves)
321s Time spent computing histograms: 0.084s
321s Time spent finding best splits:  0.049s
321s Time spent applying splits:      0.025s
321s Time spent predicting:           0.003s
321s PASSED
321s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_regression[None-None-False-5-0.0] Binning 0.000 GB of training data: 0.007 s
321s Fitting gradient boosted rounds:
321s [1/200] 1 tree, 8 leaves, max depth = 4, in 0.002s
321s [2/200] 1 tree, 8 leaves, max depth = 4, in 0.002s
321s [3/200] 1 tree, 8 leaves, max depth = 4, in 0.002s
321s [4/200] 1 tree, 8 leaves, max depth = 4, in 0.001s
321s [5/200] 1 tree, 8 leaves, max depth = 4, in 0.002s
321s [6/200] 1 tree, 7 leaves, max depth = 4, in 0.001s
321s [7/200] 1 tree, 7 leaves, max depth = 5, in 0.001s
321s [8/200] 1 tree, 8 leaves, max depth = 4, in 0.001s
321s [9/200] 1 tree, 7 leaves, max depth = 5, in 0.001s
321s [10/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
321s [11/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
321s [12/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
321s [13/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
321s [14/200] 1 tree, 8 leaves, max depth = 4, in 0.002s
321s [15/200] 1 tree, 7 leaves, max depth = 5, in 0.002s
321s [16/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
321s [17/200] 1 tree, 8 leaves, max depth = 4, in 0.002s
321s [18/200] 1 tree, 7 leaves, max depth = 5, in 0.002s
321s [19/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
321s [20/200] 1 tree, 9 leaves, max depth = 5, in 0.002s
321s [21/200] 1 tree, 9 leaves, max depth = 6, in 0.002s
321s [22/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
321s [23/200] 1 tree, 7 leaves, max depth = 6, in 0.002s
321s [24/200] 1 tree, 9 leaves, max depth = 6, in 0.002s
321s [25/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
321s [26/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
321s [27/200] 1 tree, 8 leaves, max depth = 5, in 0.001s
321s [28/200] 1 tree, 9 leaves, max depth = 6, in 0.002s
321s [29/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
321s [30/200] 1 tree, 9 leaves, max depth = 5, in 0.002s
321s [31/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
321s [32/200] 1 tree, 9 leaves, max depth = 6, in 0.002s
321s [33/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
321s [34/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
321s [35/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
321s [36/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
321s [37/200] 1 tree, 9 leaves, max depth = 6, in 0.002s
321s [38/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
321s [39/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
321s [40/200] 1 tree, 7 leaves, max depth = 4, in 0.002s
321s [41/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
321s [42/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
321s [43/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
321s [44/200] 1 tree, 9 leaves, max depth = 6, in 0.002s
321s [45/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
321s [46/200] 1 tree, 7 leaves, max depth = 6, in 0.002s
321s [47/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
321s [48/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
321s [49/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
321s [50/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
321s [51/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
321s [52/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
321s [53/200] 1 tree, 7 leaves, max depth = 5, in 0.001s
321s [54/200] 1 tree, 9 leaves, max depth = 8, in 0.002s
321s [55/200] 1 tree, 9 leaves, max depth = 6, in 0.002s
321s [56/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
321s [57/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
321s [58/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
321s [59/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
321s [60/200] 1 tree, 9 leaves, max depth = 6, in 0.002s
321s [61/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
321s [62/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
321s [63/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
321s [64/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
321s [65/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
321s [66/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
321s [67/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
321s [68/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
321s [69/200] 1 tree, 9 leaves, max depth = 8, in 0.002s
321s [70/200] 1 tree, 7 leaves, max depth = 6, in 0.002s
321s [71/200] 1 tree, 9 leaves, max depth = 8, in 0.002s
321s [72/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
321s [73/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
321s [74/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
321s [75/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
321s [76/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
321s [77/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
321s [78/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
321s [79/200] 1 tree, 10 leaves, max depth = 8, in 0.002s
321s [80/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
321s [81/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
321s [82/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
321s [83/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
321s [84/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
321s [85/200] 1 tree, 9 leaves, max depth = 6, in 0.002s
321s [86/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
321s [87/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
321s [88/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
321s [89/200] 1 tree, 9 leaves, max depth = 6, in 0.002s
321s [90/200] 1 tree, 9 leaves, max depth = 8, in 0.002s
321s [91/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
321s [92/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
321s [93/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
321s [94/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
321s [95/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
321s [96/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
321s [97/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
321s [98/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
321s [99/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
321s [100/200] 1 tree, 9 leaves, max depth = 6, in 0.002s
321s [101/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
321s [102/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
321s [103/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
321s [104/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
321s [105/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
321s [106/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
321s [107/200] 1 tree, 9 leaves, max depth = 8, in 0.002s
321s [108/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
321s [109/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
321s [110/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
321s [111/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
321s [112/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
321s [113/200] 1 tree, 9 leaves, max depth = 8, in 0.002s
321s [114/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
321s [115/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
321s [116/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
321s [117/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
321s [118/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
321s [119/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
321s [120/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
321s [121/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
321s [122/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
321s [123/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
321s [124/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
321s [125/200] 1 tree, 9 leaves, max depth = 8, in 0.002s
321s [126/200] 1 tree, 9 leaves, max depth = 8, in 0.002s
321s [127/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
321s [128/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
321s [129/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
321s [130/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
321s [131/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
321s [132/200] 1 tree, 10 leaves, max depth = 8, in 0.002s
321s [133/200] 1 tree, 9 leaves, max depth = 8, in 0.002s
321s [134/200] 1 tree, 7 leaves, max depth = 5, in 0.001s
321s [135/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
321s [136/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
321s [137/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
321s [138/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
321s [139/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
321s [140/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
321s [141/200] 1 tree, 7 leaves, max depth = 6, in 0.002s
321s [142/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
321s [143/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
321s [144/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
321s [145/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
321s [146/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
321s [147/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
321s [148/200] 1 tree, 9 leaves, max depth = 5, in 0.002s
321s [149/200] 1 tree, 7 leaves, max depth = 5, in 0.001s
321s [150/200] 1 tree, 9 leaves, max depth = 6, in 0.002s
321s [151/200] 1 tree, 9 leaves, max depth = 8, in 0.002s
321s [152/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
321s [153/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
321s [154/200] 1 tree, 9 leaves, max depth = 6, in 0.002s
321s [155/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
321s [156/200] 1 tree, 9 leaves, max depth = 6, in 0.002s
321s [157/200] 1 tree, 9 leaves, max depth = 8, in 0.002s
321s [158/200] 1 tree, 9 leaves, max depth = 5, in 0.002s
321s [159/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
321s [160/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
321s [161/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
321s [162/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
321s [163/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
321s [164/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
321s [165/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
321s [166/200] 1 tree, 9 leaves, max depth = 6, in 0.002s
321s [167/200] 1 tree, 9 leaves, max depth = 5, in 0.002s
321s [168/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
321s [169/200] 1 tree, 9 leaves, max depth = 5, in 0.002s
321s [170/200] 1 tree, 8 leaves, max depth = 4, in 0.002s
321s [171/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
321s [172/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
321s [173/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
321s [174/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
321s [175/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
321s [176/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
321s [177/200] 1 tree, 7 leaves, max depth = 5, in 0.001s
321s [178/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
321s [179/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
321s [180/200] 1 tree, 9 leaves, max depth = 6, in 0.002s
321s [181/200] 1 tree, 9 leaves, max depth = 5, in 0.002s
321s [182/200] 1 tree, 9 leaves, max depth = 6, in 0.002s
321s [183/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
321s [184/200] 1 tree, 7 leaves, max depth = 5, in 0.002s
321s [185/200] 1 tree, 9 leaves, max depth = 5, in 0.002s
321s [186/200] 1 tree, 9 leaves, max depth = 6, in 0.002s
321s [187/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
321s [188/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
321s [189/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
321s [190/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
321s [191/200] 1 tree, 9 leaves, max depth = 6, in 0.002s
321s [192/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
321s [193/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
321s [194/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
321s [195/200] 1 tree, 9 leaves, max depth = 5, in 0.002s
321s [196/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
321s [197/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
321s [198/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
321s [199/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
321s [200/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
321s Fit 200 trees in 0.362 s, (1663 total leaves)
321s Time spent computing histograms: 0.125s
321s Time spent finding best splits:  0.071s
321s Time spent applying splits:      0.037s
321s Time spent predicting:           0.005s
321s PASSED
321s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_classification[accuracy-0.1-True-5-1e-07-data0] Binning 0.000 GB of training data: 0.002 s
321s Binning 0.000 GB of validation data: 0.000 s
321s Fitting gradient boosted rounds:
321s [1/50] 1 tree, 3 leaves, max depth = 2, train score: 0.96296, val score: 1.00000, in 0.002s
321s [2/50] 1 tree, 3 leaves, max depth = 2, train score: 0.96296, val score: 1.00000, in 0.002s
321s [3/50] 1 tree, 3 leaves, max depth = 2, train score: 0.96296, val score: 1.00000, in 0.002s
321s [4/50] 1 tree, 3 leaves, max depth = 2, train score: 0.96296, val score: 1.00000, in 0.002s
321s [5/50] 1 tree, 3 leaves, max depth = 2, train score: 0.96296, val score: 1.00000, in 0.002s
321s [6/50] 1 tree, 3 leaves, max depth = 2, train score: 0.96296, val score: 1.00000, in 0.002s
321s Fit 6 trees in 0.015 s, (18 total leaves)
321s Time spent computing histograms: 0.000s
321s Time spent finding best splits:  0.000s
321s Time spent applying splits:      0.000s
321s Time spent predicting:           0.000s
321s PASSED
321s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_classification[accuracy-0.1-True-5-1e-07-data1] Binning 0.000 GB of training data: 0.002 s
321s Binning 0.000 GB of validation data: 0.000 s
321s Fitting gradient boosted rounds:
321s [1/50] 3 trees, 8 leaves (2 on avg), max depth = 2, train score: 1.00000, val score: 0.33333, in 0.002s
321s [2/50] 3 trees, 13 leaves (4 on avg), max depth = 3, train score: 1.00000, val score: 0.66667, in 0.003s
321s [3/50] 3 trees, 13 leaves (4 on avg), max depth = 3, train score: 1.00000, val score: 0.66667, in 0.003s
321s [4/50] 3 trees, 12 leaves (4 on avg), max depth = 3, train score: 1.00000, val score: 0.66667, in 0.003s
321s [5/50] 3 trees, 12 leaves (4 on avg), max depth = 3, train score: 1.00000, val score: 0.66667, in 0.003s
321s [6/50] 3 trees, 12 leaves (4 on avg), max depth = 3, train score: 1.00000, val score: 0.66667, in 0.003s
321s [7/50] 3 trees, 12 leaves (4 on avg), max depth = 3, train score: 1.00000, val score: 0.66667, in 0.003s
321s Fit 21 trees in 0.025 s, (82 total leaves)
321s Time spent computing histograms: 0.001s
321s Time spent finding best splits:  0.001s
321s Time spent applying splits:      0.002s
321s Time spent predicting:           0.000s
321s PASSED
321s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_classification[accuracy-None-True-5-0.1-data0] Binning 0.000 GB of training data: 0.002 s
321s Fitting gradient boosted rounds:
321s [1/50] 1 tree, 3 leaves, max depth = 2, train score: 0.96667, in 0.001s
321s [2/50] 1 tree, 4 leaves, max depth = 3, train score: 0.96667, in 0.002s
321s [3/50] 1 tree, 4 leaves, max depth = 3, train score: 0.96667, in 0.001s
321s [4/50] 1 tree, 4 leaves, max depth = 3, train score: 0.96667, in 0.001s
321s [5/50] 1 tree, 4 leaves, max depth = 3, train score: 0.96667, in 0.001s
321s [6/50] 1 tree, 4 leaves, max depth = 3, train score: 0.96667, in 0.001s
321s Fit 6 trees in 0.011 s, (23 total leaves)
321s Time spent computing histograms: 0.001s
321s Time spent finding best splits:  0.000s
321s Time spent applying splits:      0.000s
321s Time spent predicting:           0.000s
321s PASSED
321s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_classification[accuracy-None-True-5-0.1-data1] Binning 0.000 GB of training data: 0.002 s
321s Fitting gradient boosted rounds:
321s [1/50] 3 trees, 9 leaves (3 on avg), max depth = 2, train score: 0.96667, in 0.002s
321s [2/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train score: 1.00000, in 0.002s
321s [3/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train score: 1.00000, in 0.003s
321s [4/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train score: 1.00000, in 0.002s
321s [5/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train score: 1.00000, in 0.002s
321s [6/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train score: 1.00000, in 0.002s
321s Fit 18 trees in 0.019 s, (84 total leaves)
321s Time spent computing histograms: 0.002s
321s Time spent finding best splits:  0.001s
321s Time spent applying splits:      0.002s
321s Time spent predicting:           0.000s
321s PASSED
321s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_classification[None-0.1-True-5-1e-07-data0] Binning 0.000 GB of training data: 0.002 s
321s Binning 0.000 GB of validation data: 0.000 s
321s Fitting gradient boosted rounds:
321s [1/50] 1 tree, 3 leaves, max depth = 2, train score: 0.96296, val score: 1.00000, in 0.002s
321s [2/50] 1 tree, 3 leaves, max depth = 2, train score: 0.96296, val score: 1.00000, in 0.002s
321s [3/50] 1 tree, 3 leaves, max depth = 2, train score: 0.96296, val score: 1.00000, in 0.001s
321s [4/50] 1 tree, 3 leaves, max depth = 2, train score: 0.96296, val score: 1.00000, in 0.001s
321s [5/50] 1 tree, 3 leaves, max depth = 2, train score: 0.96296, val score: 1.00000, in 0.001s
321s [6/50] 1 tree, 3 leaves, max depth = 2, train score: 0.96296, val score: 1.00000, in 0.001s
321s Fit 6 trees in 0.014 s, (18 total leaves)
321s Time spent computing histograms: 0.001s
321s Time spent finding best splits:  0.000s
321s Time spent applying splits:      0.000s
321s Time spent predicting:           0.000s
321s PASSED
321s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_classification[None-0.1-True-5-1e-07-data1] Binning 0.000 GB of training data: 0.002 s
321s Binning 0.000 GB of validation data: 0.000 s
321s Fitting gradient boosted rounds:
321s [1/50] 3 trees, 8 leaves (2 on avg), max depth = 2, train score: 1.00000, val score: 0.33333, in 0.002s
321s [2/50] 3 trees, 13 leaves (4 on avg), max depth = 3, train score: 1.00000, val score: 0.66667, in 0.002s
321s [3/50] 3 trees, 13 leaves (4 on avg), max depth = 3, train score: 1.00000, val score: 0.66667, in 0.003s
321s [4/50] 3 trees, 12 leaves (4 on avg), max depth = 3, train score: 1.00000, val score: 0.66667, in 0.003s
321s [5/50] 3 trees, 12 leaves (4 on avg), max depth = 3, train score: 1.00000, val score: 0.66667, in 0.003s
321s [6/50] 3 trees, 12 leaves (4 on avg), max depth = 3, train score: 1.00000, val score: 0.66667, in 0.003s
321s [7/50] 3 trees, 12 leaves (4 on avg), max depth = 3, train score: 1.00000, val score: 0.66667, in 0.003s
321s Fit 21 trees in 0.023 s, (82 total leaves)
321s Time spent computing histograms: 0.001s
321s Time spent finding best splits:  0.001s
321s Time spent applying splits:      0.002s
321s Time spent predicting:           0.000s
321s PASSED
321s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_classification[None-None-True-5-0.1-data0] Binning 0.000 GB of training data: 0.002 s
321s Fitting gradient boosted rounds:
321s [1/50] 1 tree, 3 leaves, max depth = 2, train score: 0.96667, in 0.001s
321s [2/50] 1 tree, 4 leaves, max depth = 3, train score: 0.96667, in 0.001s
321s [3/50] 1 tree, 4 leaves, max depth = 3, train score: 0.96667, in 0.001s
321s [4/50] 1 tree, 4 leaves, max depth = 3, train score: 0.96667, in 0.001s
321s [5/50] 1 tree, 4 leaves, max depth = 3, train score: 0.96667, in 0.001s
321s [6/50] 1 tree, 4 leaves, max depth = 3, train score: 0.96667, in 0.001s
321s Fit 6 trees in 0.009 s, (23 total leaves)
321s Time spent computing histograms: 0.001s
321s Time spent finding best splits:  0.000s
321s Time spent applying splits:      0.000s
321s Time spent predicting:           0.000s
321s PASSED
321s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_classification[None-None-True-5-0.1-data1] Binning 0.000 GB of training data: 0.002 s
321s Fitting gradient boosted rounds:
321s [1/50] 3 trees, 9 leaves (3 on avg), max depth = 2, train score: 0.96667, in 0.002s
321s [2/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train score: 1.00000, in 0.002s
321s [3/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train score: 1.00000, in 0.002s
321s [4/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train score: 1.00000, in 0.002s
321s [5/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train score: 1.00000, in 0.002s
321s [6/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train score: 1.00000, in 0.002s
321s Fit 18 trees in 0.018 s, (84 total leaves)
321s Time spent computing histograms: 0.001s
321s Time spent finding best splits:  0.001s
321s Time spent applying splits:      0.002s
321s Time spent predicting:           0.001s
321s PASSED
321s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_classification[loss-0.1-True-5-1e-07-data0] Binning 0.000 GB of training data: 0.002 s
321s Binning 0.000 GB of validation data: 0.000 s
321s Fitting gradient boosted rounds:
321s [1/50] 1 tree, 3 leaves, max depth = 2, train loss: 0.60873, val loss: 0.62130, in 0.001s
321s [2/50] 1 tree, 3 leaves, max depth = 2, train loss: 0.53978, val loss: 0.53944, in 0.001s
321s [3/50] 1 tree, 3 leaves, max depth = 2, train loss: 0.48215, val loss: 0.48160, in 0.001s
321s [4/50] 1 tree, 3 leaves, max depth = 2, train loss: 0.43343, val loss: 0.44278, in 0.001s
321s [5/50] 1 tree, 3 leaves, max depth = 2, train loss: 0.39167, val loss: 0.41040, in 0.001s
321s [6/50] 1 tree, 3 leaves, max depth = 2, train loss: 0.35576, val loss: 0.37292, in 0.001s
321s [7/50] 1 tree, 3 leaves, max depth = 2, train loss: 0.32448, val loss: 0.34072, in 0.001s
321s [8/50] 1 tree, 3 leaves, max depth = 2, train loss: 0.29710, val loss: 0.31181, in 0.001s
321s [9/50] 1 tree, 3 leaves, max depth = 2, train loss: 0.27306, val loss: 0.27796, in 0.001s
321s [10/50] 1 tree, 3 leaves, max depth = 2, train loss: 0.25179, val loss: 0.25681, in 0.001s
321s [11/50] 1 tree, 3 leaves, max depth = 2, train loss: 0.23286, val loss: 0.23736, in 0.001s
321s [12/50] 1 tree, 3 leaves, max depth = 2, train loss: 0.21599, val loss: 0.22038, in 0.001s
321s [13/50] 1 tree, 3 leaves, max depth = 2, train loss: 0.20080, val loss: 0.19744, in 0.001s
321s [14/50] 1 tree, 3 leaves, max depth = 2, train loss: 0.18714, val loss: 0.18478, in 0.001s
321s [15/50] 1 tree, 3 leaves, max depth = 2, train loss: 0.17474, val loss: 0.17297, in 0.001s
321s [16/50] 1 tree, 3 leaves, max depth = 2, train loss: 0.16349, val loss: 0.17038, in 0.001s
321s [17/50] 1 tree, 3 leaves, max depth = 2, train loss: 0.15320, val loss: 0.16098, in 0.001s
321s [18/50] 1 tree, 3 leaves, max depth = 2, train loss: 0.14376, val loss: 0.16048, in 0.000s
321s [19/50] 1 tree, 3 leaves, max depth = 2, train loss: 0.13511, val loss: 0.16081, in 0.001s
321s [20/50] 1 tree, 3 leaves, max depth = 2, train loss: 0.12714, val loss: 0.15315, in 0.000s
321s [21/50] 1 tree, 4 leaves, max depth = 3, train loss: 0.11553, val loss: 0.13807, in 0.001s
321s [22/50] 1 tree, 5 leaves, max depth = 3, train loss: 0.10516, val loss: 0.12451, in 0.001s
321s [23/50] 1 tree, 5 leaves, max depth = 3, train loss: 0.09575, val loss: 0.11192, in 0.001s
321s [24/50] 1 tree, 5 leaves, max depth = 3, train loss: 0.08727, val loss: 0.11167, in 0.001s
321s [25/50] 1 tree, 5 leaves, max depth = 3, train loss: 0.07967, val loss: 0.10090, in 0.001s
321s [26/50] 1 tree, 5 leaves, max depth = 3, train loss: 0.07283, val loss: 0.09117, in 0.001s
321s [27/50] 1 tree, 5 leaves, max depth = 3, train loss: 0.06660, val loss: 0.08232, in 0.001s
321s [28/50] 1 tree, 5 leaves, max depth = 3, train loss: 0.06096, val loss: 0.08250, in 0.001s
321s [29/50] 1 tree, 5 leaves, max depth = 3, train loss: 0.05587, val loss: 0.07466, in 0.001s
321s [30/50] 1 tree, 5 leaves, max depth = 3, train loss: 0.05127, val loss: 0.06755, in 0.001s
321s [31/50] 1 tree, 5 leaves, max depth = 3, train loss: 0.04705, val loss: 0.06106, in 0.001s
321s [32/50] 1 tree, 5 leaves, max depth = 3, train loss: 0.04268, val loss: 0.05881, in 0.001s
321s [33/50] 1 tree, 5 leaves, max depth = 3, train loss: 0.03920, val loss: 0.05909, in 0.001s
321s [34/50] 1 tree, 5 leaves, max depth = 3, train loss: 0.03560, val loss: 0.06285, in 0.001s
321s [35/50] 1 tree, 5 leaves, max depth = 3, train loss: 0.03239, val loss: 0.06712, in 0.001s
321s [36/50] 1 tree, 5 leaves, max depth = 3, train loss: 0.02950, val loss: 0.06272, in 0.001s
321s [37/50] 1 tree, 4 leaves, max depth = 3, train loss: 0.02658, val loss: 0.06029, in 0.001s
321s Fit 37 trees in 0.028 s, (143 total leaves)
321s Time spent computing histograms: 0.003s
321s Time spent finding best splits:  0.002s
321s Time spent applying splits:      0.003s
321s Time spent predicting:           0.001s
321s PASSED
321s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_classification[loss-0.1-True-5-1e-07-data1] Binning 0.000 GB of training data: 0.002 s
321s Binning 0.000 GB of validation data: 0.000 s
321s Fitting gradient boosted rounds:
321s [1/50] 3 trees, 8 leaves (2 on avg), max depth = 2, train loss: 0.85294, val loss: 0.95727, in 0.001s
321s [2/50] 3 trees, 13 leaves (4 on avg), max depth = 3, train loss: 0.68073, val loss: 0.81510, in 0.002s
321s [3/50] 3 trees, 13 leaves (4 on avg), max depth = 3, train loss: 0.55230, val loss: 0.73033, in 0.002s
321s [4/50] 3 trees, 12 leaves (4 on avg), max depth = 3, train loss: 0.45297, val loss: 0.66873, in 0.001s
321s [5/50] 3 trees, 12 leaves (4 on avg), max depth = 3, train loss: 0.37499, val loss: 0.60477, in 0.002s
321s [6/50] 3 trees, 12 leaves (4 on avg), max depth = 3, train loss: 0.31234, val loss: 0.56982, in 0.002s
321s [7/50] 3 trees, 12 leaves (4 on avg), max depth = 3, train loss: 0.26168, val loss: 0.52591, in 0.001s
321s [8/50] 3 trees, 12 leaves (4 on avg), max depth = 3, train loss: 0.22017, val loss: 0.50497, in 0.001s
321s [9/50] 3 trees, 12 leaves (4 on avg), max depth = 3, train loss: 0.18594, val loss: 0.48864, in 0.002s
321s [10/50] 3 trees, 12 leaves (4 on avg), max depth = 3, train loss: 0.15759, val loss: 0.45880, in 0.002s
321s [11/50] 3 trees, 12 leaves (4 on avg), max depth = 3, train loss: 0.13386, val loss: 0.44842, in 0.001s
321s [12/50] 3 trees, 12 leaves (4 on avg), max depth = 3, train loss: 0.11405, val loss: 0.42390, in 0.002s
321s [13/50] 3 trees, 12 leaves (4 on avg), max depth = 3, train loss: 0.09732, val loss: 0.41717, in 0.002s
321s [14/50] 3 trees, 12 leaves (4 on avg), max depth = 3, train loss: 0.08326, val loss: 0.41176, in 0.001s
321s [15/50] 3 trees, 13 leaves (4 on avg), max depth = 4, train loss: 0.07057, val loss: 0.39226, in 0.002s
321s [16/50] 3 trees, 12 leaves (4 on avg), max depth = 3, train loss: 0.06046, val loss: 0.38856, in 0.001s
321s [17/50] 3 trees, 13 leaves (4 on avg), max depth = 3, train loss: 0.05055, val loss: 0.42217, in 0.002s
321s [18/50] 3 trees, 14 leaves (4 on avg), max depth = 3, train loss: 0.04206, val loss: 0.45976, in 0.002s
321s [19/50] 3 trees, 14 leaves (4 on avg), max depth = 3, train loss: 0.03523, val loss: 0.50052, in 0.002s
321s [20/50] 3 trees, 13 leaves (4 on avg), max depth = 4, train loss: 0.03001, val loss: 0.49857, in 0.002s
321s [21/50] 3 trees, 14 leaves (4 on avg), max depth = 3, train loss: 0.02517, val loss: 0.54268, in 0.002s
321s Fit 63 trees in 0.037 s, (259 total leaves)
321s Time spent computing histograms: 0.004s
321s Time spent finding best splits:  0.002s
321s Time spent applying splits:      0.004s
321s Time spent predicting:           0.001s
321s PASSED
321s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_classification[loss-None-True-5-0.1-data0] Binning 0.000 GB of training data: 0.002 s
321s Fitting gradient boosted rounds:
321s [1/50] 1 tree, 3 leaves, max depth = 2, train loss: 0.60827, in 0.001s
321s [2/50] 1 tree, 4 leaves, max depth = 3, train loss: 0.53845, in 0.001s
321s [3/50] 1 tree, 4 leaves, max depth = 3, train loss: 0.48003, in 0.001s
321s [4/50] 1 tree, 4 leaves, max depth = 3, train loss: 0.43064, in 0.001s
321s [5/50] 1 tree, 4 leaves, max depth = 3, train loss: 0.38837, in 0.001s
321s [6/50] 1 tree, 4 leaves, max depth = 3, train loss: 0.35190, in 0.001s
321s [7/50] 1 tree, 4 leaves, max depth = 3, train loss: 0.32019, in 0.001s
321s [8/50] 1 tree, 4 leaves, max depth = 3, train loss: 0.29244, in 0.001s
321s [9/50] 1 tree, 4 leaves, max depth = 3, train loss: 0.26803, in 0.001s
321s [10/50] 1 tree, 4 leaves, max depth = 3, train loss: 0.24645, in 0.001s
321s [11/50] 1 tree, 4 leaves, max depth = 3, train loss: 0.22725, in 0.001s
321s [12/50] 1 tree, 4 leaves, max depth = 3, train loss: 0.21009, in 0.001s
321s [13/50] 1 tree, 4 leaves, max depth = 3, train loss: 0.19465, in 0.001s
321s Fit 13 trees in 0.011 s, (51 total leaves)
321s Time spent computing histograms: 0.001s
321s Time spent finding best splits:  0.001s
321s Time spent applying splits:      0.001s
321s Time spent predicting:           0.000s
321s PASSED
321s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_classification[loss-None-True-5-0.1-data1] Binning 0.000 GB of training data: 0.002 s
321s Fitting gradient boosted rounds:
321s [1/50] 3 trees, 9 leaves (3 on avg), max depth = 2, train loss: 0.86534, in 0.001s
321s [2/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train loss: 0.69970, in 0.002s
321s [3/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train loss: 0.57532, in 0.002s
321s [4/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train loss: 0.47824, in 0.002s
321s [5/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train loss: 0.40120, in 0.002s
321s [6/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train loss: 0.33889, in 0.002s
321s [7/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train loss: 0.28811, in 0.002s
321s [8/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train loss: 0.24613, in 0.002s
321s [9/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train loss: 0.21127, in 0.002s
321s [10/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train loss: 0.18188, in 0.002s
321s [11/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train loss: 0.15714, in 0.002s
321s [12/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train loss: 0.13606, in 0.002s
321s [13/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train loss: 0.11815, in 0.002s
321s [14/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train loss: 0.10278, in 0.002s
321s [15/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train loss: 0.08963, in 0.002s
321s Fit 45 trees in 0.028 s, (219 total leaves)
321s Time spent computing histograms: 0.004s
321s Time spent finding best splits:  0.002s
321s Time spent applying splits:      0.004s
321s Time spent predicting:           0.001s
321s PASSED
321s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_classification[None-None-False-5-0.0-data0] Binning 0.000 GB of training data: 0.002 s
321s Fitting gradient boosted rounds:
321s [1/50] 1 tree, 3 leaves, max depth = 2, in 0.001s
321s [2/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
321s [3/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
321s [4/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
321s [5/50] 1 tree, 4 leaves, max depth = 3, in 0.000s
321s [6/50] 1 tree, 4 leaves, max depth = 3, in 0.000s
321s [7/50] 1 tree, 4 leaves, max depth = 3, in 0.000s
321s [8/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
321s [9/50] 1 tree, 4 leaves, max depth = 3, in 0.000s
321s [10/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
321s [11/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
321s [12/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
321s [13/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
321s [14/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
321s [15/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
321s [16/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
321s [17/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
321s [18/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
321s [19/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
321s [20/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
321s [21/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
321s [22/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
321s [23/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
321s [24/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
321s [25/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
321s [26/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
321s [27/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
321s [28/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
321s [29/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
321s [30/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
321s [31/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
321s [32/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
321s [33/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
321s [34/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
321s [35/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
321s [36/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
321s [37/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
321s [38/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
321s [39/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
321s [40/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
321s [41/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
321s [42/50] 1 tree, 4 leaves, max depth = 3, in 0.000s
321s [43/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
321s [44/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
321s [45/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
321s [46/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
321s [47/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
321s [48/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
321s [49/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
321s [50/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
321s Fit 50 trees in 0.033 s, (224 total leaves)
321s Time spent computing histograms: 0.004s
321s Time spent finding best splits:  0.002s
321s Time spent applying splits:      0.004s
321s Time spent predicting:           0.001s
321s PASSED
321s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_classification[None-None-False-5-0.0-data1] Binning 0.000 GB of training data: 0.002 s
321s Fitting gradient boosted rounds:
321s [1/50] 3 trees, 9 leaves (3 on avg), max depth = 2, in 0.001s
321s [2/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
321s [3/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
321s [4/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
321s [5/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
321s [6/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
321s [7/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
321s [8/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
321s [9/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
321s [10/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
321s [11/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
321s [12/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
321s [13/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
321s [14/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
321s [15/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
321s [16/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
321s [17/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
321s [18/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
321s [19/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
321s [20/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
321s [21/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
321s [22/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
321s [23/50] 3 trees, 16 leaves (5 on avg), max depth = 4, in 0.002s
321s [24/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
321s [25/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
321s [26/50] 3 trees, 16 leaves (5 on avg), max depth = 4, in 0.002s
321s [27/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
321s [28/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
321s [29/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
321s [30/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
321s [31/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
321s [32/50] 3 trees, 16 leaves (5 on avg), max depth = 4, in 0.002s
321s [33/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
321s [34/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
321s [35/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
322s [36/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
322s [37/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
322s [38/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
322s [39/50] 3 trees, 16 leaves (5 on avg), max depth = 4, in 0.002s
322s [40/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
322s [41/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
322s [42/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
322s [43/50] 3 trees, 14 leaves (4 on avg), max depth = 3, in 0.002s
322s [44/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
322s [45/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
322s [46/50] 3 trees, 14 leaves (4 on avg), max depth = 3, in 0.002s
322s [47/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
322s [48/50] 3 trees, 14 leaves (4 on avg), max depth = 3, in 0.002s
322s [49/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
322s [50/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
322s Fit 150 trees in 0.085 s, (745 total leaves)
322s Time spent computing histograms: 0.012s
322s Time spent finding best splits:  0.007s
322s Time spent applying splits:      0.013s
322s Time spent predicting:           0.003s
322s PASSED
322s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py::test_early_stopping_default[HistGradientBoostingClassifier-X0-y0] PASSED
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351s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_importances[RandomForestRegressor-absolute_error-float64] PASSED
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353s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_unfitted_feature_importances[RandomTreesEmbedding] PASSED
353s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[True-X0-y0-0.9-array-ExtraTreesClassifier] PASSED
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355s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[True-X1-y1-0.65-sparse_csr-RandomForestClassifier] PASSED
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355s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[True-X3-y3-0.18-array-ExtraTreesClassifier] PASSED
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356s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[True-X3-y3-0.18-sparse_csr-RandomForestClassifier] PASSED
356s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[True-X3-y3-0.18-sparse_csc-ExtraTreesClassifier] PASSED
356s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[True-X3-y3-0.18-sparse_csc-RandomForestClassifier] PASSED
356s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[oob_score1-X0-y0-0.9-array-ExtraTreesClassifier] PASSED
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356s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[oob_score1-X0-y0-0.9-sparse_csr-ExtraTreesClassifier] PASSED
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356s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[oob_score1-X0-y0-0.9-sparse_csc-ExtraTreesClassifier] PASSED
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357s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[oob_score1-X1-y1-0.65-array-ExtraTreesClassifier] PASSED
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357s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[oob_score1-X1-y1-0.65-sparse_csr-ExtraTreesClassifier] PASSED
357s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[oob_score1-X1-y1-0.65-sparse_csr-RandomForestClassifier] PASSED
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358s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[oob_score1-X2-y2-0.65-array-ExtraTreesClassifier] PASSED
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358s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[oob_score1-X2-y2-0.65-sparse_csr-RandomForestClassifier] PASSED
358s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[oob_score1-X2-y2-0.65-sparse_csc-ExtraTreesClassifier] PASSED
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359s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_regressor_oob[True-X0-y0-0.7-array-ExtraTreesRegressor] PASSED
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362s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_regressor_oob[explained_variance_score-X0-y0-0.7-array-ExtraTreesRegressor] PASSED
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363s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_regressor_oob[explained_variance_score-X1-y1-0.55-array-ExtraTreesRegressor] PASSED
363s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_regressor_oob[explained_variance_score-X1-y1-0.55-array-RandomForestRegressor] PASSED
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364s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_regressor_oob[explained_variance_score-X1-y1-0.55-sparse_csr-RandomForestRegressor] PASSED
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364s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_oob_warning[ExtraTreesClassifier] PASSED
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364s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_oob_score_requires_bootstrap[RandomForestRegressor] PASSED
364s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_classifier_error_oob_score_multiclass_multioutput[ExtraTreesClassifier] PASSED
365s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_classifier_error_oob_score_multiclass_multioutput[RandomForestClassifier] PASSED
365s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_multioutput_integral_regression_target[ExtraTreesRegressor] PASSED
365s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_multioutput_integral_regression_target[RandomForestRegressor] PASSED
365s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_random_trees_embedding_raise_error_oob[True] PASSED
365s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_random_trees_embedding_raise_error_oob[False] PASSED
366s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_gridsearch[ExtraTreesClassifier] PASSED
366s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_gridsearch[RandomForestClassifier] PASSED
366s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_parallel[ExtraTreesClassifier] PASSED
366s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_parallel[RandomForestClassifier] PASSED
366s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_parallel[ExtraTreesRegressor] PASSED
366s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_parallel[RandomForestRegressor] PASSED
366s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_pickle[ExtraTreesClassifier] PASSED
366s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_pickle[RandomForestClassifier] PASSED
366s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_pickle[ExtraTreesRegressor] PASSED
367s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_pickle[RandomForestRegressor] PASSED
367s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_multioutput[ExtraTreesClassifier] PASSED
367s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_multioutput[RandomForestClassifier] PASSED
367s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_multioutput[ExtraTreesRegressor] PASSED
367s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_multioutput[RandomForestRegressor] PASSED
367s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_multioutput_string[ExtraTreesClassifier] PASSED
367s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_multioutput_string[RandomForestClassifier] PASSED
368s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_classes_shape[ExtraTreesClassifier] PASSED
368s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_classes_shape[RandomForestClassifier] PASSED
368s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_random_trees_dense_type PASSED
368s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_random_trees_dense_equal PASSED
368s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_random_hasher PASSED
368s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_random_hasher_sparse_data[csc_matrix] PASSED
368s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_random_hasher_sparse_data[csc_array] PASSED
368s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_parallel_train PASSED
369s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_distribution PASSED
369s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_max_leaf_nodes_max_depth[ExtraTreesClassifier] PASSED
369s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_max_leaf_nodes_max_depth[RandomForestClassifier] PASSED
369s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_max_leaf_nodes_max_depth[ExtraTreesRegressor] PASSED
369s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_max_leaf_nodes_max_depth[RandomForestRegressor] PASSED
369s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_max_leaf_nodes_max_depth[RandomTreesEmbedding] PASSED
369s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_min_samples_split[ExtraTreesClassifier] PASSED
369s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_min_samples_split[RandomForestClassifier] PASSED
369s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_min_samples_split[ExtraTreesRegressor] PASSED
369s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_min_samples_split[RandomForestRegressor] PASSED
369s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_min_samples_split[RandomTreesEmbedding] PASSED
369s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_min_samples_leaf[ExtraTreesClassifier] PASSED
369s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_min_samples_leaf[RandomForestClassifier] PASSED
369s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_min_samples_leaf[ExtraTreesRegressor] PASSED
369s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_min_samples_leaf[RandomForestRegressor] PASSED
369s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_min_samples_leaf[RandomTreesEmbedding] PASSED
369s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_min_weight_fraction_leaf[ExtraTreesClassifier] PASSED
369s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_min_weight_fraction_leaf[RandomForestClassifier] PASSED
369s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_min_weight_fraction_leaf[ExtraTreesRegressor] PASSED
369s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_min_weight_fraction_leaf[RandomForestRegressor] PASSED
369s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_min_weight_fraction_leaf[RandomTreesEmbedding] PASSED
369s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[coo_matrix-ExtraTreesClassifier] PASSED
369s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[coo_matrix-RandomForestClassifier] PASSED
370s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[coo_matrix-ExtraTreesRegressor] PASSED
370s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[coo_matrix-RandomForestRegressor] PASSED
370s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[coo_matrix-RandomTreesEmbedding] PASSED
371s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[coo_array-ExtraTreesClassifier] PASSED
371s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[coo_array-RandomForestClassifier] PASSED
371s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[coo_array-ExtraTreesRegressor] PASSED
371s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[coo_array-RandomForestRegressor] PASSED
372s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[coo_array-RandomTreesEmbedding] PASSED
372s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[csc_matrix-ExtraTreesClassifier] PASSED
372s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[csc_matrix-RandomForestClassifier] PASSED
373s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[csc_matrix-ExtraTreesRegressor] PASSED
373s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[csc_matrix-RandomForestRegressor] PASSED
373s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[csc_matrix-RandomTreesEmbedding] PASSED
374s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[csc_array-ExtraTreesClassifier] PASSED
374s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[csc_array-RandomForestClassifier] PASSED
374s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[csc_array-ExtraTreesRegressor] PASSED
374s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[csc_array-RandomForestRegressor] PASSED
375s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[csc_array-RandomTreesEmbedding] PASSED
375s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[csr_matrix-ExtraTreesClassifier] PASSED
375s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[csr_matrix-RandomForestClassifier] PASSED
376s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[csr_matrix-ExtraTreesRegressor] PASSED
376s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[csr_matrix-RandomForestRegressor] PASSED
376s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[csr_matrix-RandomTreesEmbedding] PASSED
377s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[csr_array-ExtraTreesClassifier] PASSED
377s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[csr_array-RandomForestClassifier] PASSED
377s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[csr_array-ExtraTreesRegressor] PASSED
377s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[csr_array-RandomForestRegressor] PASSED
378s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[csr_array-RandomTreesEmbedding] PASSED
379s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_memory_layout[float64-ExtraTreesClassifier] PASSED
380s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_memory_layout[float64-RandomForestClassifier] PASSED
381s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_memory_layout[float64-ExtraTreesRegressor] PASSED
382s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_memory_layout[float64-RandomForestRegressor] PASSED
383s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_memory_layout[float32-ExtraTreesClassifier] PASSED
384s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_memory_layout[float32-RandomForestClassifier] PASSED
385s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_memory_layout[float32-ExtraTreesRegressor] PASSED
386s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_memory_layout[float32-RandomForestRegressor] PASSED
386s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_1d_input[ExtraTreesClassifier] PASSED
386s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_1d_input[RandomForestClassifier] PASSED
387s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_1d_input[ExtraTreesRegressor] PASSED
387s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_1d_input[RandomForestRegressor] PASSED
387s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_1d_input[RandomTreesEmbedding] PASSED
388s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_class_weights[ExtraTreesClassifier] PASSED
389s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_class_weights[RandomForestClassifier] PASSED
389s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_class_weight_balanced_and_bootstrap_multi_output[ExtraTreesClassifier] PASSED
389s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_class_weight_balanced_and_bootstrap_multi_output[RandomForestClassifier] PASSED
390s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_class_weight_errors[ExtraTreesClassifier] PASSED
390s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_class_weight_errors[RandomForestClassifier] PASSED
390s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start[ExtraTreesClassifier] PASSED
390s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start[RandomForestClassifier] PASSED
390s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start[ExtraTreesRegressor] PASSED
390s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start[RandomForestRegressor] PASSED
390s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start[RandomTreesEmbedding] PASSED
390s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start_clear[ExtraTreesClassifier] PASSED
390s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start_clear[RandomForestClassifier] PASSED
390s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start_clear[ExtraTreesRegressor] PASSED
390s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start_clear[RandomForestRegressor] PASSED
390s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start_clear[RandomTreesEmbedding] PASSED
390s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start_smaller_n_estimators[ExtraTreesClassifier] PASSED
390s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start_smaller_n_estimators[RandomForestClassifier] PASSED
390s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start_smaller_n_estimators[ExtraTreesRegressor] PASSED
390s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start_smaller_n_estimators[RandomForestRegressor] PASSED
390s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start_smaller_n_estimators[RandomTreesEmbedding] PASSED
390s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start_equal_n_estimators[ExtraTreesClassifier] PASSED
390s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start_equal_n_estimators[RandomForestClassifier] PASSED
390s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start_equal_n_estimators[ExtraTreesRegressor] PASSED
390s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start_equal_n_estimators[RandomForestRegressor] PASSED
390s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start_equal_n_estimators[RandomTreesEmbedding] PASSED
390s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start_oob[ExtraTreesClassifier] PASSED
390s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start_oob[RandomForestClassifier] PASSED
390s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start_oob[ExtraTreesRegressor] PASSED
390s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start_oob[RandomForestRegressor] PASSED
390s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_oob_not_computed_twice[ExtraTreesClassifier] PASSED
390s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_oob_not_computed_twice[RandomForestClassifier] PASSED
390s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_oob_not_computed_twice[ExtraTreesRegressor] PASSED
390s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_oob_not_computed_twice[RandomForestRegressor] PASSED
391s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_dtype_convert PASSED
391s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_decision_path[ExtraTreesClassifier] PASSED
391s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_decision_path[RandomForestClassifier] PASSED
391s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_decision_path[ExtraTreesRegressor] PASSED
391s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_decision_path[RandomForestRegressor] PASSED
391s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_min_impurity_decrease PASSED
391s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_poisson_y_positive_check PASSED
391s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_backend_respected SKIPPED
391s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_feature_importances_sum PASSED
391s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_degenerate_feature_importances PASSED
391s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_max_samples_bootstrap[ExtraTreesClassifier] PASSED
391s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_max_samples_bootstrap[RandomForestClassifier] PASSED
391s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_max_samples_bootstrap[ExtraTreesRegressor] PASSED
391s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_max_samples_bootstrap[RandomForestRegressor] PASSED
391s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_large_max_samples_exception[ExtraTreesClassifier] PASSED
391s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_large_max_samples_exception[RandomForestClassifier] PASSED
391s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_large_max_samples_exception[ExtraTreesRegressor] PASSED
391s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_large_max_samples_exception[RandomForestRegressor] PASSED
392s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_max_samples_boundary_regressors[ExtraTreesRegressor] PASSED
393s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_max_samples_boundary_regressors[RandomForestRegressor] PASSED
393s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_max_samples_boundary_classifiers[ExtraTreesClassifier] PASSED
394s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_max_samples_boundary_classifiers[RandomForestClassifier] PASSED
394s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_y_sparse[csr_matrix] PASSED
394s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_y_sparse[csr_array] PASSED
394s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_little_tree_with_small_max_samples[RandomForestClassifier] PASSED
394s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_little_tree_with_small_max_samples[RandomForestRegressor] PASSED
394s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_mse_criterion_object_segfault_smoke_test[ExtraTreesRegressor] PASSED
394s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_mse_criterion_object_segfault_smoke_test[RandomForestRegressor] PASSED
394s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_random_trees_embedding_feature_names_out PASSED
394s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_read_only_buffer[csr_matrix] PASSED
395s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_read_only_buffer[csr_array] PASSED
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501s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_input_validation_errors[kwargs1-grid_resolution must be greater than 1. Got 1 instead] PASSED
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501s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_input_validation_errors[kwargs3-eps must be greater than or equal to 0. Got -1.1 instead] PASSED
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582s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/_glm/tests/test_glm.py::test_linalg_warning_with_newton_solver[42] PASSED
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582s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/_glm/tests/test_glm.py::test_newton_solver_verbosity[1] RUNNING THE L-BFGS-B CODE
582s 
582s            * * *
582s 
582s Machine precision = 2.220D-16
582s  N =            2     M =           10
582s  This problem is unconstrained.
582s 
582s            * * *
582s 
582s Tit   = total number of iterations
582s Tnf   = total number of function evaluations
582s Tnint = total number of segments explored during Cauchy searches
582s Skip  = number of BFGS updates skipped
582s Nact  = number of active bounds at final generalized Cauchy point
582s Projg = norm of the final projected gradient
582s F     = final function value
582s 
582s            * * *
582s 
582s    N    Tit     Tnf  Tnint  Skip  Nact     Projg        F
582s     2      5      7      1     0     0   5.264D-05  -3.750D-01
582s 
582s CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL            
582s PASSED
582s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/_glm/tests/test_glm.py::test_newton_solver_verbosity[2] RUNNING THE L-BFGS-B CODE
582s 
582s            * * *
582s 
582s Machine precision = 2.220D-16
582s  N =            2     M =           10
582s  This problem is unconstrained.
582s 
582s At X0         0 variables are exactly at the bounds
582s 
582s At iterate    0    f= -2.66378D-01    |proj g|=  1.16272D-01
582s 
582s At iterate    1    f= -3.72773D-01    |proj g|=  3.44540D-02
582s 
582s At iterate    2    f= -3.74743D-01    |proj g|=  1.18567D-02
582s 
582s At iterate    3    f= -3.74922D-01    |proj g|=  5.40689D-03
582s 
582s At iterate    4    f= -3.75000D-01    |proj g|=  4.08881D-04
582s 
582s At iterate    5    f= -3.75000D-01    |proj g|=  5.26385D-05
582s 
582s            * * *
582s 
582s Tit   = total number of iterations
582s Tnf   = total number of function evaluations
582s Tnint = total number of segments explored during Cauchy searches
582s Skip  = number of BFGS updates skipped
582s Nact  = number of active bounds at final generalized Cauchy point
582s Projg = norm of the final projected gradient
582s F     = final function value
582s 
582s            * * *
582s 
582s    N    Tit     Tnf  Tnint  Skip  Nact     Projg        F
582s     2      5      7      1     0     0   5.264D-05  -3.750D-01
582s   F = -0.37499999475400758     
582s 
582s CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL            
582s PASSED
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609s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized[wide-42-True-svd] XFAIL
609s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized[wide-42-True-sparse_cg] XFAIL
609s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized[wide-42-True-cholesky] XFAIL
609s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized[wide-42-True-lsqr] XFAIL
609s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized[wide-42-True-sag] XFAIL
609s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized[wide-42-True-saga] XFAIL
609s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized[wide-42-False-svd] PASSED
609s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized[wide-42-False-sparse_cg] PASSED
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610s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[wide-42-True-svd] XFAIL
610s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[wide-42-True-sparse_cg] XFAIL
610s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[wide-42-True-cholesky] XFAIL
610s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[wide-42-True-lsqr] XFAIL
610s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[wide-42-True-sag] XFAIL
610s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[wide-42-True-saga] XFAIL
610s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[wide-42-False-svd] PASSED
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610s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-True-svd] XFAIL
610s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-True-sparse_cg] XFAIL
610s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-True-cholesky] XFAIL
610s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-True-lsqr] XFAIL
610s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-True-sag] XFAIL
610s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-True-saga] XFAIL
610s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-False-svd] PASSED
610s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-False-sparse_cg] PASSED
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610s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_sample_weights[long-42-1.0-None-True-svd] PASSED
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624s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_positive_error_test[lsqr] PASSED
624s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_positive_error_test[sparse_cg] PASSED
624s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_positive_error_test[sag] PASSED
624s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_positive_error_test[saga] PASSED
624s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_positive_ridge_loss[0.001] PASSED
624s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_positive_ridge_loss[0.01] PASSED
625s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_positive_ridge_loss[0.1] PASSED
625s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_positive_ridge_loss[1.0] PASSED
626s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_lbfgs_solver_consistency[0.001] PASSED
626s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_lbfgs_solver_consistency[0.01] PASSED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_lbfgs_solver_consistency[0.1] PASSED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_lbfgs_solver_consistency[1.0] PASSED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_lbfgs_solver_error PASSED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-svd-tall-None-False] PASSED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-svd-tall-None-True] PASSED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-svd-tall-csr_matrix-False] SKIPPED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-svd-tall-csr_matrix-True] SKIPPED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-svd-tall-csr_array-False] SKIPPED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-svd-tall-csr_array-True] SKIPPED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-svd-wide-None-False] PASSED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-svd-wide-None-True] PASSED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-svd-wide-csr_matrix-False] SKIPPED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-svd-wide-csr_matrix-True] SKIPPED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-svd-wide-csr_array-False] SKIPPED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-svd-wide-csr_array-True] SKIPPED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-sparse_cg-tall-None-False] PASSED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-sparse_cg-tall-None-True] PASSED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-sparse_cg-tall-csr_matrix-False] PASSED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-sparse_cg-tall-csr_matrix-True] PASSED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-sparse_cg-tall-csr_array-False] PASSED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-sparse_cg-tall-csr_array-True] PASSED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-sparse_cg-wide-None-False] PASSED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-sparse_cg-wide-None-True] PASSED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-sparse_cg-wide-csr_matrix-False] PASSED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-sparse_cg-wide-csr_matrix-True] PASSED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-sparse_cg-wide-csr_array-False] PASSED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-sparse_cg-wide-csr_array-True] PASSED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-cholesky-tall-None-False] PASSED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-cholesky-tall-None-True] PASSED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-cholesky-tall-csr_matrix-False] PASSED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-cholesky-tall-csr_matrix-True] SKIPPED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-cholesky-tall-csr_array-False] PASSED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-cholesky-tall-csr_array-True] SKIPPED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-cholesky-wide-None-False] PASSED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-cholesky-wide-None-True] PASSED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-cholesky-wide-csr_matrix-False] PASSED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-cholesky-wide-csr_matrix-True] SKIPPED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-cholesky-wide-csr_array-False] PASSED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-cholesky-wide-csr_array-True] SKIPPED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lsqr-tall-None-False] PASSED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lsqr-tall-None-True] PASSED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lsqr-tall-csr_matrix-False] PASSED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lsqr-tall-csr_matrix-True] PASSED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lsqr-tall-csr_array-False] PASSED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lsqr-tall-csr_array-True] PASSED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lsqr-wide-None-False] PASSED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lsqr-wide-None-True] PASSED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lsqr-wide-csr_matrix-False] PASSED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lsqr-wide-csr_matrix-True] PASSED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lsqr-wide-csr_array-False] PASSED
627s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lsqr-wide-csr_array-True] PASSED
628s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-sag-tall-None-False] XFAIL
628s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-sag-tall-None-True] PASSED
628s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-sag-tall-csr_matrix-False] XFAIL
628s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-sag-tall-csr_matrix-True] PASSED
628s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-sag-tall-csr_array-False] XFAIL
628s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-sag-tall-csr_array-True] PASSED
628s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-sag-wide-None-False] XFAIL
628s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-sag-wide-None-True] PASSED
628s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-sag-wide-csr_matrix-False] XFAIL
628s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-sag-wide-csr_matrix-True] PASSED
628s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-sag-wide-csr_array-False] XFAIL
628s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-sag-wide-csr_array-True] PASSED
628s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-saga-tall-None-False] XFAIL
628s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-saga-tall-None-True] PASSED
628s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-saga-tall-csr_matrix-False] XFAIL
628s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-saga-tall-csr_matrix-True] SKIPPED
628s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-saga-tall-csr_array-False] XFAIL
628s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-saga-tall-csr_array-True] SKIPPED
628s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-saga-wide-None-False] XFAIL
628s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-saga-wide-None-True] PASSED
628s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-saga-wide-csr_matrix-False] XFAIL
628s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-saga-wide-csr_matrix-True] SKIPPED
628s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-saga-wide-csr_array-False] XFAIL
628s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-saga-wide-csr_array-True] SKIPPED
628s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lbfgs-tall-None-False] PASSED
628s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lbfgs-tall-None-True] PASSED
628s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lbfgs-tall-csr_matrix-False] PASSED
628s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lbfgs-tall-csr_matrix-True] PASSED
628s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lbfgs-tall-csr_array-False] PASSED
628s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lbfgs-tall-csr_array-True] PASSED
628s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lbfgs-wide-None-False] PASSED
628s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lbfgs-wide-None-True] PASSED
628s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lbfgs-wide-csr_matrix-False] PASSED
628s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lbfgs-wide-csr_matrix-True] PASSED
628s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lbfgs-wide-csr_array-False] PASSED
629s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lbfgs-wide-csr_array-True] PASSED
629s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_classifier_matching PASSED
629s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_regressor_matching PASSED
629s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_sag_pobj_matches_logistic_regression[csr_matrix] PASSED
629s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_sag_pobj_matches_logistic_regression[csr_array] PASSED
629s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_sag_pobj_matches_ridge_regression[csr_matrix] PASSED
629s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_sag_pobj_matches_ridge_regression[csr_array] PASSED
629s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_sag_regressor_computed_correctly[csr_matrix] PASSED
630s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_sag_regressor_computed_correctly[csr_array] PASSED
630s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_get_auto_step_size PASSED
630s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_sag_regressor[csr_matrix-0] PASSED
630s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_sag_regressor[csr_matrix-1] PASSED
630s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_sag_regressor[csr_matrix-2] PASSED
630s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_sag_regressor[csr_array-0] PASSED
630s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_sag_regressor[csr_array-1] PASSED
630s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_sag_regressor[csr_array-2] PASSED
630s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_sag_classifier_computed_correctly[csr_matrix] PASSED
630s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_sag_classifier_computed_correctly[csr_array] PASSED
630s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_sag_multiclass_computed_correctly[csr_matrix] PASSED
630s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_sag_multiclass_computed_correctly[csr_array] PASSED
630s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_classifier_results[csr_matrix] PASSED
630s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_classifier_results[csr_array] PASSED
630s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_binary_classifier_class_weight[csr_matrix] PASSED
630s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_binary_classifier_class_weight[csr_array] PASSED
630s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_multiclass_classifier_class_weight[csr_matrix] PASSED
631s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_multiclass_classifier_class_weight[csr_array] PASSED
631s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_classifier_single_class PASSED
631s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_step_size_alpha_error PASSED
631s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_multinomial_loss PASSED
631s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_multinomial_loss_ground_truth PASSED
631s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_sag_classifier_raises_error[sag] PASSED
631s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_sag_classifier_raises_error[saga] PASSED
631s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_warm_start[constant-SGDClassifier] PASSED
631s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_warm_start[constant-SparseSGDClassifier] PASSED
631s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_warm_start[constant-SGDRegressor] PASSED
631s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_warm_start[constant-SparseSGDRegressor] PASSED
631s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_warm_start[optimal-SGDClassifier] PASSED
631s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_warm_start[optimal-SparseSGDClassifier] PASSED
631s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_warm_start[optimal-SGDRegressor] PASSED
631s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_warm_start[optimal-SparseSGDRegressor] PASSED
631s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_warm_start[invscaling-SGDClassifier] PASSED
631s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_warm_start[invscaling-SparseSGDClassifier] PASSED
631s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_warm_start[invscaling-SGDRegressor] PASSED
631s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_warm_start[invscaling-SparseSGDRegressor] PASSED
631s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_warm_start[adaptive-SGDClassifier] PASSED
631s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_warm_start[adaptive-SparseSGDClassifier] PASSED
631s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_warm_start[adaptive-SGDRegressor] PASSED
631s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_warm_start[adaptive-SparseSGDRegressor] PASSED
631s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_input_format[SGDClassifier] PASSED
631s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_input_format[SparseSGDClassifier] PASSED
631s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_input_format[SGDRegressor] PASSED
631s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_input_format[SparseSGDRegressor] PASSED
631s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_clone[SGDClassifier] PASSED
631s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_clone[SparseSGDClassifier] PASSED
631s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_clone[SGDRegressor] PASSED
631s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_clone[SparseSGDRegressor] PASSED
631s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_plain_has_no_average_attr[SGDClassifier] PASSED
631s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_plain_has_no_average_attr[SparseSGDClassifier] PASSED
631s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_plain_has_no_average_attr[SGDRegressor] PASSED
631s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_plain_has_no_average_attr[SparseSGDRegressor] PASSED
631s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_plain_has_no_average_attr[SGDOneClassSVM] PASSED
631s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_plain_has_no_average_attr[SparseSGDOneClassSVM] PASSED
631s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_late_onset_averaging_not_reached[SGDClassifier] PASSED
631s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_late_onset_averaging_not_reached[SparseSGDClassifier] PASSED
631s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_late_onset_averaging_not_reached[SGDRegressor] PASSED
631s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_late_onset_averaging_not_reached[SparseSGDRegressor] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_late_onset_averaging_not_reached[SGDOneClassSVM] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_late_onset_averaging_not_reached[SparseSGDOneClassSVM] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_late_onset_averaging_reached[SGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_late_onset_averaging_reached[SparseSGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_late_onset_averaging_reached[SGDRegressor] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_late_onset_averaging_reached[SparseSGDRegressor] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_early_stopping[SGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_early_stopping[SparseSGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_early_stopping[SGDRegressor] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_early_stopping[SparseSGDRegressor] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_adaptive_longer_than_constant[SGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_adaptive_longer_than_constant[SparseSGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_adaptive_longer_than_constant[SGDRegressor] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_adaptive_longer_than_constant[SparseSGDRegressor] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_validation_set_not_used_for_training[SGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_validation_set_not_used_for_training[SparseSGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_validation_set_not_used_for_training[SGDRegressor] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_validation_set_not_used_for_training[SparseSGDRegressor] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_n_iter_no_change[SGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_n_iter_no_change[SparseSGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_n_iter_no_change[SGDRegressor] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_n_iter_no_change[SparseSGDRegressor] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_not_enough_sample_for_early_stopping[SGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_not_enough_sample_for_early_stopping[SparseSGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_not_enough_sample_for_early_stopping[SGDRegressor] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_not_enough_sample_for_early_stopping[SparseSGDRegressor] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_sgd_clf[SGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_sgd_clf[SparseSGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_provide_coef[SGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_provide_coef[SparseSGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_provide_coef[SGDOneClassSVM] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_provide_coef[SparseSGDOneClassSVM] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_set_intercept_offset[SGDClassifier-fit_params0] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_set_intercept_offset[SparseSGDClassifier-fit_params1] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_set_intercept_offset[SGDOneClassSVM-fit_params2] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_set_intercept_offset[SparseSGDOneClassSVM-fit_params3] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_sgd_early_stopping_with_partial_fit[SGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_sgd_early_stopping_with_partial_fit[SparseSGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_sgd_early_stopping_with_partial_fit[SGDRegressor] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_sgd_early_stopping_with_partial_fit[SparseSGDRegressor] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_set_intercept_offset_binary[SGDClassifier-fit_params0] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_set_intercept_offset_binary[SparseSGDClassifier-fit_params1] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_set_intercept_offset_binary[SGDOneClassSVM-fit_params2] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_set_intercept_offset_binary[SparseSGDOneClassSVM-fit_params3] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_average_binary_computed_correctly[SGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_average_binary_computed_correctly[SparseSGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_set_intercept_to_intercept[SGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_set_intercept_to_intercept[SparseSGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_sgd_at_least_two_labels[SGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_sgd_at_least_two_labels[SparseSGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_partial_fit_weight_class_balanced[SGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_partial_fit_weight_class_balanced[SparseSGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_sgd_multiclass[SGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_sgd_multiclass[SparseSGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_sgd_multiclass_average[SGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_sgd_multiclass_average[SparseSGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_sgd_multiclass_with_init_coef[SGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_sgd_multiclass_with_init_coef[SparseSGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_sgd_multiclass_njobs[SGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_sgd_multiclass_njobs[SparseSGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_set_coef_multiclass[SGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_set_coef_multiclass[SparseSGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_sgd_predict_proba_method_access[SGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_sgd_predict_proba_method_access[SparseSGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_sgd_proba[SGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_sgd_proba[SparseSGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_sgd_l1[SGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_sgd_l1[SparseSGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_class_weights[SGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_class_weights[SparseSGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_equal_class_weight[SGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_equal_class_weight[SparseSGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_wrong_class_weight_label[SGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_wrong_class_weight_label[SparseSGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_weights_multiplied[SGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_weights_multiplied[SparseSGDClassifier] PASSED
632s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_balanced_weight[SGDClassifier] PASSED
633s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_balanced_weight[SparseSGDClassifier] PASSED
633s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_sample_weights[SGDClassifier] PASSED
633s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_sample_weights[SparseSGDClassifier] PASSED
633s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_wrong_sample_weights[SGDClassifier] PASSED
633s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_wrong_sample_weights[SparseSGDClassifier] PASSED
633s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_wrong_sample_weights[SGDOneClassSVM] PASSED
633s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_wrong_sample_weights[SparseSGDOneClassSVM] PASSED
633s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_partial_fit_exception[SGDClassifier] PASSED
633s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_partial_fit_exception[SparseSGDClassifier] PASSED
633s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_partial_fit_binary[SGDClassifier] PASSED
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633s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_partial_fit_multiclass[SGDClassifier] PASSED
633s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_partial_fit_multiclass[SparseSGDClassifier] PASSED
633s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_partial_fit_multiclass_average[SGDClassifier] PASSED
633s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_partial_fit_multiclass_average[SparseSGDClassifier] PASSED
633s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_fit_then_partial_fit[SGDClassifier] PASSED
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633s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_partial_fit_equal_fit_classif[constant-SGDClassifier] PASSED
633s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_partial_fit_equal_fit_classif[constant-SparseSGDClassifier] PASSED
633s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_partial_fit_equal_fit_classif[optimal-SGDClassifier] PASSED
633s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_partial_fit_equal_fit_classif[optimal-SparseSGDClassifier] PASSED
633s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_partial_fit_equal_fit_classif[invscaling-SGDClassifier] PASSED
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633s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_partial_fit_equal_fit_classif[adaptive-SGDClassifier] PASSED
633s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_partial_fit_equal_fit_classif[adaptive-SparseSGDClassifier] PASSED
633s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_regression_losses[SGDClassifier] PASSED
633s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_regression_losses[SparseSGDClassifier] PASSED
633s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_warm_start_multiclass[SGDClassifier] PASSED
633s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_warm_start_multiclass[SparseSGDClassifier] PASSED
633s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_multiple_fit[SGDClassifier] PASSED
633s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_multiple_fit[SparseSGDClassifier] PASSED
633s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_sgd_reg[SGDRegressor] PASSED
633s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_sgd_reg[SparseSGDRegressor] PASSED
633s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_sgd_averaged_computed_correctly[SGDRegressor] PASSED
633s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_sgd_averaged_computed_correctly[SparseSGDRegressor] PASSED
633s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_sgd_averaged_partial_fit[SGDRegressor] PASSED
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633s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_average_sparse[SGDRegressor] PASSED
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633s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_sgd_least_squares_fit[SGDRegressor] PASSED
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633s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_sgd_huber_fit[SGDRegressor] PASSED
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633s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_elasticnet_convergence[SGDRegressor] PASSED
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633s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_partial_fit[SGDRegressor] PASSED
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633s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_partial_fit_equal_fit[optimal-SGDRegressor] PASSED
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685s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[csr_array-csr_matrix-7] PASSED
685s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[csr_array-csr_matrix-101] PASSED
685s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[csr_array-csr_array-None] PASSED
685s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[csr_array-csr_array-5] PASSED
685s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[csr_array-csr_array-7] PASSED
685s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[csr_array-csr_array-101] PASSED
685s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast_sym[dense-None] PASSED
685s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast_sym[dense-5] PASSED
685s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast_sym[dense-7] PASSED
685s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast_sym[dense-101] PASSED
685s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast_sym[csr_matrix-None] PASSED
685s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast_sym[csr_matrix-5] PASSED
685s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast_sym[csr_matrix-7] PASSED
685s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast_sym[csr_matrix-101] PASSED
685s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast_sym[csr_array-None] PASSED
686s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast_sym[csr_array-5] PASSED
686s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast_sym[csr_array-7] PASSED
686s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast_sym[csr_array-101] PASSED
686s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_extreme_values[1-float32-0.0001-1e-05] PASSED
686s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_extreme_values[1-float64-1e-08-0.99] XFAIL
686s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_extreme_values[1000000-float32-0.0001-1e-05] PASSED
686s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_extreme_values[1000000-float64-1e-08-0.99] XFAIL
686s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_equal_to_euclidean_distance[True] PASSED
686s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_equal_to_euclidean_distance[False] PASSED
686s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_infinite_values[Y0-X0] PASSED
686s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_infinite_values[Y0-X1] PASSED
686s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_infinite_values[Y1-X0] PASSED
686s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_infinite_values[Y1-X1] PASSED
686s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_infinite_values[None-X0] PASSED
686s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_infinite_values[None-X1] PASSED
686s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_2x2[X0-1.4142135623730951-nan] PASSED
686s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_2x2[X1-1.4142135623730951-nan] PASSED
686s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_2x2[X2-nan-nan] PASSED
686s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_2x2[X3-1.4142135623730951-nan] PASSED
686s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_2x2[X4-1.4142135623730951-nan] PASSED
686s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_2x2[X5-1.4142135623730951--1] PASSED
686s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_2x2[X6-1.4142135623730951--1] PASSED
686s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_2x2[X7-nan--1] PASSED
686s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_2x2[X8-1.4142135623730951--1] PASSED
686s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_2x2[X9-1.4142135623730951--1] PASSED
686s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_complete_nan[nan] PASSED
686s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_complete_nan[-1] PASSED
686s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_not_trival[nan] PASSED
686s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_not_trival[-1] PASSED
686s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_one_feature_match_positive[nan] PASSED
686s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_one_feature_match_positive[-1] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_cosine_distances PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_haversine_distances PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_paired_euclidean_distances PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_paired_manhattan_distances PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_paired_cosine_distances PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_chi_square_kernel PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_kernel_symmetry[linear_kernel] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_kernel_symmetry[polynomial_kernel] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_kernel_symmetry[rbf_kernel] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_kernel_symmetry[laplacian_kernel] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_kernel_symmetry[sigmoid_kernel] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_kernel_symmetry[cosine_similarity] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_kernel_sparse[csr_matrix-linear_kernel] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_kernel_sparse[csr_matrix-polynomial_kernel] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_kernel_sparse[csr_matrix-rbf_kernel] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_kernel_sparse[csr_matrix-laplacian_kernel] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_kernel_sparse[csr_matrix-sigmoid_kernel] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_kernel_sparse[csr_matrix-cosine_similarity] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_kernel_sparse[csr_array-linear_kernel] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_kernel_sparse[csr_array-polynomial_kernel] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_kernel_sparse[csr_array-rbf_kernel] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_kernel_sparse[csr_array-laplacian_kernel] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_kernel_sparse[csr_array-sigmoid_kernel] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_kernel_sparse[csr_array-cosine_similarity] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_linear_kernel PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_rbf_kernel PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_laplacian_kernel PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_similarity_sparse_output[csr_matrix-linear-linear_kernel] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_similarity_sparse_output[csr_matrix-cosine-cosine_similarity] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_similarity_sparse_output[csr_array-linear-linear_kernel] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_similarity_sparse_output[csr_array-cosine-cosine_similarity] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_cosine_similarity[csr_matrix] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_cosine_similarity[csr_array] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_check_dense_matrices PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_check_XB_returned PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_check_different_dimensions PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_check_invalid_dimensions PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_check_sparse_arrays[csr_matrix] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_check_sparse_arrays[csr_array] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_check_tuple_input PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_check_preserve_type PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_data_derived_params[pairwise_distances-seuclidean-1] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_data_derived_params[pairwise_distances-seuclidean-2] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_data_derived_params[pairwise_distances-mahalanobis-1] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_data_derived_params[pairwise_distances-mahalanobis-2] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_data_derived_params[pairwise_distances_chunked-seuclidean-1] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_data_derived_params[pairwise_distances_chunked-seuclidean-2] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_data_derived_params[pairwise_distances_chunked-mahalanobis-1] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_data_derived_params[pairwise_distances_chunked-mahalanobis-2] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_data_derived_params_error[seuclidean] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_data_derived_params_error[mahalanobis] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float32-Y is X-braycurtis] SKIPPED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float32-Y is X-canberra] SKIPPED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float32-Y is X-chebyshev] SKIPPED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float32-Y is X-correlation] SKIPPED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float32-Y is X-hamming] SKIPPED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float32-Y is X-mahalanobis] SKIPPED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float32-Y is X-minkowski] SKIPPED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float32-Y is X-seuclidean] SKIPPED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float32-Y is X-sqeuclidean] SKIPPED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float32-Y is X-cityblock] SKIPPED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float32-Y is X-cosine] SKIPPED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float32-Y is X-euclidean] SKIPPED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float32-Y is not X-braycurtis] SKIPPED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float32-Y is not X-canberra] SKIPPED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float32-Y is not X-chebyshev] SKIPPED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float32-Y is not X-correlation] SKIPPED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float32-Y is not X-hamming] SKIPPED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float32-Y is not X-mahalanobis] SKIPPED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float32-Y is not X-minkowski] SKIPPED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float32-Y is not X-seuclidean] SKIPPED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float32-Y is not X-sqeuclidean] SKIPPED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float32-Y is not X-cityblock] SKIPPED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float32-Y is not X-cosine] SKIPPED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float32-Y is not X-euclidean] SKIPPED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float64-Y is X-braycurtis] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float64-Y is X-canberra] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float64-Y is X-chebyshev] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float64-Y is X-correlation] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float64-Y is X-hamming] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float64-Y is X-mahalanobis] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float64-Y is X-minkowski] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float64-Y is X-seuclidean] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float64-Y is X-sqeuclidean] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float64-Y is X-cityblock] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float64-Y is X-cosine] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float64-Y is X-euclidean] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float64-Y is not X-braycurtis] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float64-Y is not X-canberra] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float64-Y is not X-chebyshev] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float64-Y is not X-correlation] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float64-Y is not X-hamming] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float64-Y is not X-mahalanobis] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float64-Y is not X-minkowski] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float64-Y is not X-seuclidean] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float64-Y is not X-sqeuclidean] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float64-Y is not X-cityblock] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float64-Y is not X-cosine] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_numeric_pairwise_distances_datatypes[float64-Y is not X-euclidean] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_sparse_manhattan_readonly_dataset[csr_matrix] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_sparse_manhattan_readonly_dataset[csr_array] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise_distances_reduction.py::test_assert_compatible_argkmin_results PASSED
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766s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-KNeighborsRegressor-1-100-l2-100-100-10] PASSED
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766s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-KNeighborsRegressor-1-100-manhattan-100-100-10] PASSED
766s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-KNeighborsRegressor-1-100-manhattan-1000-5-100] PASSED
766s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-KNeighborsRegressor-1-100-minkowski-100-100-10] PASSED
766s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-KNeighborsRegressor-1-100-minkowski-1000-5-100] PASSED
766s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-KNeighborsRegressor-1-100-DM_euclidean-100-100-10] PASSED
766s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-KNeighborsRegressor-1-100-DM_euclidean-1000-5-100] PASSED
766s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-KNeighborsRegressor-50-500-chebyshev-100-100-10] PASSED
766s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-KNeighborsRegressor-50-500-chebyshev-1000-5-100] PASSED
766s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-KNeighborsRegressor-50-500-cityblock-100-100-10] PASSED
766s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-KNeighborsRegressor-50-500-cityblock-1000-5-100] PASSED
766s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-KNeighborsRegressor-50-500-euclidean-100-100-10] PASSED
766s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-KNeighborsRegressor-50-500-euclidean-1000-5-100] PASSED
766s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-KNeighborsRegressor-50-500-l1-100-100-10] PASSED
766s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-KNeighborsRegressor-50-500-l1-1000-5-100] PASSED
766s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-KNeighborsRegressor-50-500-l2-100-100-10] PASSED
766s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-KNeighborsRegressor-50-500-l2-1000-5-100] PASSED
766s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-KNeighborsRegressor-50-500-manhattan-100-100-10] PASSED
766s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-KNeighborsRegressor-50-500-manhattan-1000-5-100] PASSED
766s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-KNeighborsRegressor-50-500-minkowski-100-100-10] PASSED
766s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-KNeighborsRegressor-50-500-minkowski-1000-5-100] PASSED
766s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-KNeighborsRegressor-50-500-DM_euclidean-100-100-10] PASSED
766s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-KNeighborsRegressor-50-500-DM_euclidean-1000-5-100] PASSED
766s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-KNeighborsRegressor-100-1000-chebyshev-100-100-10] PASSED
766s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-KNeighborsRegressor-100-1000-chebyshev-1000-5-100] PASSED
766s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-KNeighborsRegressor-100-1000-cityblock-100-100-10] PASSED
766s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-KNeighborsRegressor-100-1000-cityblock-1000-5-100] PASSED
766s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-KNeighborsRegressor-100-1000-euclidean-100-100-10] PASSED
766s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-KNeighborsRegressor-100-1000-euclidean-1000-5-100] PASSED
766s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-KNeighborsRegressor-100-1000-l1-100-100-10] PASSED
766s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-KNeighborsRegressor-100-1000-l1-1000-5-100] PASSED
766s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-KNeighborsRegressor-100-1000-l2-100-100-10] PASSED
766s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-KNeighborsRegressor-100-1000-l2-1000-5-100] PASSED
766s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-KNeighborsRegressor-100-1000-manhattan-100-100-10] PASSED
766s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-KNeighborsRegressor-100-1000-manhattan-1000-5-100] PASSED
766s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-KNeighborsRegressor-100-1000-minkowski-100-100-10] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-KNeighborsRegressor-100-1000-minkowski-1000-5-100] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-KNeighborsRegressor-100-1000-DM_euclidean-100-100-10] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-KNeighborsRegressor-100-1000-DM_euclidean-1000-5-100] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-1-100-chebyshev-100-100-10] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-1-100-chebyshev-1000-5-100] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-1-100-cityblock-100-100-10] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-1-100-cityblock-1000-5-100] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-1-100-euclidean-100-100-10] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-1-100-euclidean-1000-5-100] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-1-100-l1-100-100-10] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-1-100-l1-1000-5-100] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-1-100-l2-100-100-10] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-1-100-l2-1000-5-100] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-1-100-manhattan-100-100-10] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-1-100-manhattan-1000-5-100] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-1-100-minkowski-100-100-10] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-1-100-minkowski-1000-5-100] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-1-100-DM_euclidean-100-100-10] SKIPPED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-1-100-DM_euclidean-1000-5-100] SKIPPED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-50-500-chebyshev-100-100-10] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-50-500-chebyshev-1000-5-100] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-50-500-cityblock-100-100-10] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-50-500-cityblock-1000-5-100] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-50-500-euclidean-100-100-10] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-50-500-euclidean-1000-5-100] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-50-500-l1-100-100-10] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-50-500-l1-1000-5-100] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-50-500-l2-100-100-10] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-50-500-l2-1000-5-100] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-50-500-manhattan-100-100-10] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-50-500-manhattan-1000-5-100] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-50-500-minkowski-100-100-10] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-50-500-minkowski-1000-5-100] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-50-500-DM_euclidean-100-100-10] SKIPPED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-50-500-DM_euclidean-1000-5-100] SKIPPED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-100-1000-chebyshev-100-100-10] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-100-1000-chebyshev-1000-5-100] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-100-1000-cityblock-100-100-10] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-100-1000-cityblock-1000-5-100] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-100-1000-euclidean-100-100-10] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-100-1000-euclidean-1000-5-100] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-100-1000-l1-100-100-10] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-100-1000-l1-1000-5-100] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-100-1000-l2-100-100-10] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-100-1000-l2-1000-5-100] PASSED
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767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-100-1000-manhattan-1000-5-100] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-100-1000-minkowski-100-100-10] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-100-1000-minkowski-1000-5-100] PASSED
767s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-100-1000-DM_euclidean-100-100-10] SKIPPED
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845s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_discriminant_analysis.py::test_get_feature_names_out PASSED
845s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_docstring_parameters SKIPPED
845s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[ARDRegression-ARDRegression] SKIPPED
845s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[AdaBoostClassifier-AdaBoostClassifier] SKIPPED
845s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[AdaBoostRegressor-AdaBoostRegressor] SKIPPED
845s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[AdditiveChi2Sampler-AdditiveChi2Sampler] SKIPPED
845s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[AffinityPropagation-AffinityPropagation] SKIPPED
845s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[AgglomerativeClustering-AgglomerativeClustering] SKIPPED
845s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[BaggingClassifier-BaggingClassifier] SKIPPED
845s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[BaggingRegressor-BaggingRegressor] SKIPPED
845s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[BayesianGaussianMixture-BayesianGaussianMixture] SKIPPED
845s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[BayesianRidge-BayesianRidge] SKIPPED
845s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[BernoulliNB-BernoulliNB] SKIPPED
845s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[BernoulliRBM-BernoulliRBM] SKIPPED
845s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[Binarizer-Binarizer] SKIPPED
845s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[Birch-Birch] SKIPPED
845s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[BisectingKMeans-BisectingKMeans] SKIPPED
845s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[CCA-CCA] SKIPPED
845s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[CalibratedClassifierCV-CalibratedClassifierCV] SKIPPED
845s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[CategoricalNB-CategoricalNB] SKIPPED
845s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[ClassifierChain-ClassifierChain] SKIPPED
845s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[ColumnTransformer-ColumnTransformer] SKIPPED
845s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[ComplementNB-ComplementNB] SKIPPED
845s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[CountVectorizer-CountVectorizer] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[DBSCAN-DBSCAN] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[DecisionTreeClassifier-DecisionTreeClassifier] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[DecisionTreeRegressor-DecisionTreeRegressor] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[DictVectorizer-DictVectorizer] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[DictionaryLearning-DictionaryLearning] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[DummyClassifier-DummyClassifier] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[DummyRegressor-DummyRegressor] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[ElasticNet-ElasticNet] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[ElasticNetCV-ElasticNetCV] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[EllipticEnvelope-EllipticEnvelope] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[EmpiricalCovariance-EmpiricalCovariance] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[ExtraTreeClassifier-ExtraTreeClassifier] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[ExtraTreeRegressor-ExtraTreeRegressor] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[ExtraTreesClassifier-ExtraTreesClassifier] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[ExtraTreesRegressor-ExtraTreesRegressor] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[FactorAnalysis-FactorAnalysis] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[FastICA-FastICA] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[FeatureAgglomeration-FeatureAgglomeration] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[FeatureHasher-FeatureHasher] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[FeatureUnion-FeatureUnion] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[FunctionTransformer-FunctionTransformer] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[GammaRegressor-GammaRegressor] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[GaussianMixture-GaussianMixture] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[GaussianNB-GaussianNB] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[GaussianProcessClassifier-GaussianProcessClassifier] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[GaussianProcessRegressor-GaussianProcessRegressor] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[GaussianRandomProjection-GaussianRandomProjection] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[GenericUnivariateSelect-GenericUnivariateSelect] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[GradientBoostingClassifier-GradientBoostingClassifier] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[GradientBoostingRegressor-GradientBoostingRegressor] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[GraphicalLasso-GraphicalLasso] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[GraphicalLassoCV-GraphicalLassoCV] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[GridSearchCV-GridSearchCV] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[HDBSCAN-HDBSCAN] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[HalvingGridSearchCV-HalvingGridSearchCV] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[HalvingRandomSearchCV-HalvingRandomSearchCV] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[HashingVectorizer-HashingVectorizer] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[HistGradientBoostingClassifier-HistGradientBoostingClassifier] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[HistGradientBoostingRegressor-HistGradientBoostingRegressor] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[HuberRegressor-HuberRegressor] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[IncrementalPCA-IncrementalPCA] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[IsolationForest-IsolationForest] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[Isomap-Isomap] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[IsotonicRegression-IsotonicRegression] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[IterativeImputer-IterativeImputer] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[KBinsDiscretizer-KBinsDiscretizer] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[KMeans-KMeans] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[KNNImputer-KNNImputer] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[KNeighborsClassifier-KNeighborsClassifier] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[KNeighborsRegressor-KNeighborsRegressor] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[KNeighborsTransformer-KNeighborsTransformer] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[KernelCenterer-KernelCenterer] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[KernelDensity-KernelDensity] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[KernelPCA-KernelPCA] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[KernelRidge-KernelRidge] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LabelBinarizer-LabelBinarizer] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LabelEncoder-LabelEncoder] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LabelPropagation-LabelPropagation] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LabelSpreading-LabelSpreading] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[Lars-Lars] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LarsCV-LarsCV] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[Lasso-Lasso] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LassoCV-LassoCV] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LassoLars-LassoLars] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LassoLarsCV-LassoLarsCV] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LassoLarsIC-LassoLarsIC] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LatentDirichletAllocation-LatentDirichletAllocation] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LedoitWolf-LedoitWolf] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LinearDiscriminantAnalysis-LinearDiscriminantAnalysis] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LinearRegression-LinearRegression] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LinearSVC-LinearSVC] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LinearSVR-LinearSVR] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LocalOutlierFactor-LocalOutlierFactor] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LocallyLinearEmbedding-LocallyLinearEmbedding] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LogisticRegression-LogisticRegression] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LogisticRegressionCV-LogisticRegressionCV] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MDS-MDS] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MLPClassifier-MLPClassifier] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MLPRegressor-MLPRegressor] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MaxAbsScaler-MaxAbsScaler] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MeanShift-MeanShift] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MinCovDet-MinCovDet] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MinMaxScaler-MinMaxScaler] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MiniBatchDictionaryLearning-MiniBatchDictionaryLearning] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MiniBatchKMeans-MiniBatchKMeans] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MiniBatchNMF-MiniBatchNMF] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MiniBatchSparsePCA-MiniBatchSparsePCA] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MissingIndicator-MissingIndicator] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MultiLabelBinarizer-MultiLabelBinarizer] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MultiOutputClassifier-MultiOutputClassifier] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MultiOutputRegressor-MultiOutputRegressor] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MultiTaskElasticNet-MultiTaskElasticNet] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MultiTaskElasticNetCV-MultiTaskElasticNetCV] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MultiTaskLasso-MultiTaskLasso] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MultiTaskLassoCV-MultiTaskLassoCV] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MultinomialNB-MultinomialNB] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[NMF-NMF] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[NearestCentroid-NearestCentroid] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[NearestNeighbors-NearestNeighbors] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[NeighborhoodComponentsAnalysis-NeighborhoodComponentsAnalysis] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[Normalizer-Normalizer] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[NuSVC-NuSVC] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[NuSVR-NuSVR] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[Nystroem-Nystroem] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[OAS-OAS] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[OPTICS-OPTICS] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[OneClassSVM-OneClassSVM] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[OneHotEncoder-OneHotEncoder] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[OneVsOneClassifier-OneVsOneClassifier] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[OneVsRestClassifier-OneVsRestClassifier] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[OrdinalEncoder-OrdinalEncoder] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[OrthogonalMatchingPursuit-OrthogonalMatchingPursuit] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[OrthogonalMatchingPursuitCV-OrthogonalMatchingPursuitCV] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[OutputCodeClassifier-OutputCodeClassifier] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[PCA-PCA] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[PLSCanonical-PLSCanonical] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[PLSRegression-PLSRegression] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[PLSSVD-PLSSVD] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[PassiveAggressiveClassifier-PassiveAggressiveClassifier] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[PassiveAggressiveRegressor-PassiveAggressiveRegressor] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[PatchExtractor-PatchExtractor] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[Perceptron-Perceptron] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[Pipeline-Pipeline] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[PoissonRegressor-PoissonRegressor] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[PolynomialCountSketch-PolynomialCountSketch] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[PolynomialFeatures-PolynomialFeatures] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[PowerTransformer-PowerTransformer] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[QuadraticDiscriminantAnalysis-QuadraticDiscriminantAnalysis] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[QuantileRegressor-QuantileRegressor] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[QuantileTransformer-QuantileTransformer] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RANSACRegressor-RANSACRegressor] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RBFSampler-RBFSampler] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RFE-RFE] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RFECV-RFECV] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RadiusNeighborsClassifier-RadiusNeighborsClassifier] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RadiusNeighborsRegressor-RadiusNeighborsRegressor] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RadiusNeighborsTransformer-RadiusNeighborsTransformer] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RandomForestClassifier-RandomForestClassifier] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RandomForestRegressor-RandomForestRegressor] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RandomTreesEmbedding-RandomTreesEmbedding] SKIPPED
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846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[Ridge-Ridge] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RidgeCV-RidgeCV] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RidgeClassifier-RidgeClassifier] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RidgeClassifierCV-RidgeClassifierCV] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RobustScaler-RobustScaler] SKIPPED
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846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[SelectFdr-SelectFdr] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[SelectFpr-SelectFpr] SKIPPED
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846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[SelectFwe-SelectFwe] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[SelectKBest-SelectKBest] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[SelectPercentile-SelectPercentile] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[SelfTrainingClassifier-SelfTrainingClassifier] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[SequentialFeatureSelector-SequentialFeatureSelector] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[ShrunkCovariance-ShrunkCovariance] SKIPPED
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846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[SkewedChi2Sampler-SkewedChi2Sampler] SKIPPED
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846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[SparseRandomProjection-SparseRandomProjection] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[SpectralBiclustering-SpectralBiclustering] SKIPPED
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846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[TSNE-TSNE] SKIPPED
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846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[TfidfTransformer-TfidfTransformer] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[TfidfVectorizer-TfidfVectorizer] SKIPPED
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846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[TransformedTargetRegressor-TransformedTargetRegressor] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[TruncatedSVD-TruncatedSVD] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[TweedieRegressor-TweedieRegressor] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[VarianceThreshold-VarianceThreshold] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[VotingClassifier-VotingClassifier] SKIPPED
846s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[VotingRegressor-VotingRegressor] SKIPPED
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877s ../../../usr/lib/python3/dist-packages/sklearn/tree/tests/test_tree.py::test_diabetes_underfit[squared_error-15-mean_squared_error-60-DecisionTreeRegressor-DecisionTreeRegressor] PASSED
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878s ../../../usr/lib/python3/dist-packages/sklearn/tree/tests/test_tree.py::test_min_weight_fraction_leaf_on_dense_input[DecisionTreeClassifier] PASSED
878s ../../../usr/lib/python3/dist-packages/sklearn/tree/tests/test_tree.py::test_min_weight_fraction_leaf_on_dense_input[ExtraTreeClassifier] PASSED
878s ../../../usr/lib/python3/dist-packages/sklearn/tree/tests/test_tree.py::test_min_weight_fraction_leaf_on_dense_input[DecisionTreeRegressor] PASSED
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878s ../../../usr/lib/python3/dist-packages/sklearn/tree/tests/test_tree.py::test_min_weight_fraction_leaf_with_min_samples_leaf_on_dense_input[DecisionTreeClassifier] PASSED
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912s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis1[float32-csr_array-Xw2-X2-None] PASSED
912s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis1[float32-csr_array-Xw3-X3-weights3] PASSED
912s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis1[float32-csr_array-Xw4-X4-weights4] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis1[float32-csr_array-Xw5-X5-weights5] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis1[float64-csc_matrix-Xw0-X0-weights0] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis1[float64-csc_matrix-Xw1-X1-weights1] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis1[float64-csc_matrix-Xw2-X2-None] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis1[float64-csc_matrix-Xw3-X3-weights3] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis1[float64-csc_matrix-Xw4-X4-weights4] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis1[float64-csc_matrix-Xw5-X5-weights5] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis1[float64-csc_array-Xw0-X0-weights0] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis1[float64-csc_array-Xw1-X1-weights1] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis1[float64-csc_array-Xw2-X2-None] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis1[float64-csc_array-Xw3-X3-weights3] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis1[float64-csc_array-Xw4-X4-weights4] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis1[float64-csc_array-Xw5-X5-weights5] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis1[float64-csr_matrix-Xw0-X0-weights0] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis1[float64-csr_matrix-Xw1-X1-weights1] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis1[float64-csr_matrix-Xw2-X2-None] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis1[float64-csr_matrix-Xw3-X3-weights3] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis1[float64-csr_matrix-Xw4-X4-weights4] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis1[float64-csr_matrix-Xw5-X5-weights5] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis1[float64-csr_array-Xw0-X0-weights0] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis1[float64-csr_array-Xw1-X1-weights1] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis1[float64-csr_array-Xw2-X2-None] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis1[float64-csr_array-Xw3-X3-weights3] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis1[float64-csr_array-Xw4-X4-weights4] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis1[float64-csr_array-Xw5-X5-weights5] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float32-csc_matrix-Xw0-X0-weights0] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float32-csc_matrix-Xw1-X1-weights1] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float32-csc_matrix-Xw2-X2-None] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float32-csc_matrix-Xw3-X3-weights3] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float32-csc_matrix-Xw4-X4-weights4] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float32-csc_matrix-Xw5-X5-weights5] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float32-csc_array-Xw0-X0-weights0] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float32-csc_array-Xw1-X1-weights1] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float32-csc_array-Xw2-X2-None] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float32-csc_array-Xw3-X3-weights3] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float32-csc_array-Xw4-X4-weights4] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float32-csc_array-Xw5-X5-weights5] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float32-csr_matrix-Xw0-X0-weights0] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float32-csr_matrix-Xw1-X1-weights1] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float32-csr_matrix-Xw2-X2-None] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float32-csr_matrix-Xw3-X3-weights3] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float32-csr_matrix-Xw4-X4-weights4] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float32-csr_matrix-Xw5-X5-weights5] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float32-csr_array-Xw0-X0-weights0] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float32-csr_array-Xw1-X1-weights1] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float32-csr_array-Xw2-X2-None] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float32-csr_array-Xw3-X3-weights3] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float32-csr_array-Xw4-X4-weights4] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float32-csr_array-Xw5-X5-weights5] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float64-csc_matrix-Xw0-X0-weights0] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float64-csc_matrix-Xw1-X1-weights1] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float64-csc_matrix-Xw2-X2-None] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float64-csc_matrix-Xw3-X3-weights3] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float64-csc_matrix-Xw4-X4-weights4] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float64-csc_matrix-Xw5-X5-weights5] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float64-csc_array-Xw0-X0-weights0] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float64-csc_array-Xw1-X1-weights1] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float64-csc_array-Xw2-X2-None] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float64-csc_array-Xw3-X3-weights3] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float64-csc_array-Xw4-X4-weights4] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float64-csc_array-Xw5-X5-weights5] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float64-csr_matrix-Xw0-X0-weights0] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float64-csr_matrix-Xw1-X1-weights1] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float64-csr_matrix-Xw2-X2-None] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float64-csr_matrix-Xw3-X3-weights3] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float64-csr_matrix-Xw4-X4-weights4] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float64-csr_matrix-Xw5-X5-weights5] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float64-csr_array-Xw0-X0-weights0] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float64-csr_array-Xw1-X1-weights1] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float64-csr_array-Xw2-X2-None] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float64-csr_array-Xw3-X3-weights3] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float64-csr_array-Xw4-X4-weights4] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis0[float64-csr_array-Xw5-X5-weights5] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis[lil_matrix-csr_matrix-csc_matrix] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis[lil_matrix-csr_matrix-csc_array] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis[lil_matrix-csr_array-csc_matrix] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis[lil_matrix-csr_array-csc_array] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis[lil_array-csr_matrix-csc_matrix] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis[lil_array-csr_matrix-csc_array] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis[lil_array-csr_array-csc_matrix] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis[lil_array-csr_array-csc_array] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_dim_mismatch[csc_matrix] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_dim_mismatch[csc_array] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_dim_mismatch[csr_matrix] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_dim_mismatch[csr_array] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_equivalence_mean_variance[csr_matrix-X10-X20] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_equivalence_mean_variance[csr_matrix-X11-X21] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_equivalence_mean_variance[csr_array-X10-X20] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_equivalence_mean_variance[csr_array-X11-X21] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_no_new_n PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_n_float PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_ignore_nan[csc_matrix-0] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_ignore_nan[csc_matrix-1] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_ignore_nan[csc_array-0] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_ignore_nan[csc_array-1] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_ignore_nan[csr_matrix-0] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_ignore_nan[csr_matrix-1] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_ignore_nan[csr_array-0] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_ignore_nan[csr_array-1] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_mean_variance_illegal_axis[csr_matrix] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_mean_variance_illegal_axis[csr_array] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_densify_rows[csr_matrix] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_densify_rows[csr_array] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_inplace_column_scale PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_inplace_row_scale PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_inplace_swap_row[csr_matrix-csc_matrix] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_inplace_swap_row[csr_matrix-csc_array] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_inplace_swap_row[csr_array-csc_matrix] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_inplace_swap_row[csr_array-csc_array] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_inplace_swap_column[csr_matrix-csc_matrix] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_inplace_swap_column[csr_matrix-csc_array] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_inplace_swap_column[csr_array-csc_matrix] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_inplace_swap_column[csr_array-csc_array] PASSED
913s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_min_max[True-0-amin-amax-False-csc_matrix-0-float32] PASSED
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915s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_check_array_dia_to_int32_indexed_csr_csc_coo[coo-coo_array] PASSED
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_check_array_dia_to_int32_indexed_csr_csc_coo[coo-dia_matrix] PASSED
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915s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_weight_vector.py::test_type_invariance[float32-WeightVector32] PASSED
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915s 
915s =============================== warnings summary ===============================
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462: SkipTestWarning: Can't instantiate estimator ColumnTransformer parameters ['transformers']
915s     warnings.warn(msg, SkipTestWarning)
915s 
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462: SkipTestWarning: Can't instantiate estimator FeatureUnion parameters ['transformer_list']
915s     warnings.warn(msg, SkipTestWarning)
915s 
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462: SkipTestWarning: Can't instantiate estimator GridSearchCV parameters ['estimator', 'param_grid']
915s     warnings.warn(msg, SkipTestWarning)
915s 
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462: SkipTestWarning: Can't instantiate estimator HalvingGridSearchCV parameters ['estimator', 'param_grid']
915s     warnings.warn(msg, SkipTestWarning)
915s 
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462: SkipTestWarning: Can't instantiate estimator HalvingRandomSearchCV parameters ['estimator', 'param_distributions']
915s     warnings.warn(msg, SkipTestWarning)
915s 
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462: SkipTestWarning: Can't instantiate estimator Pipeline parameters ['steps']
915s     warnings.warn(msg, SkipTestWarning)
915s 
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462: SkipTestWarning: Can't instantiate estimator RandomizedSearchCV parameters ['estimator', 'param_distributions']
915s     warnings.warn(msg, SkipTestWarning)
915s 
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
915s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462: SkipTestWarning: Can't instantiate estimator SparseCoder parameters ['dictionary']
915s     warnings.warn(msg, SkipTestWarning)
915s 
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:339
915s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:339: SkipTestWarning: Explicit SKIP via _skip_test tag for estimator ClassifierChain.
915s     warnings.warn(
915s 
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:331
915s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:331: SkipTestWarning: Can't test estimator CountVectorizer which requires input  of type ['string']
915s     warnings.warn(
915s 
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:331
915s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:331: SkipTestWarning: Can't test estimator DictVectorizer which requires input  of type ['dict']
915s     warnings.warn(
915s 
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:331
915s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:331: SkipTestWarning: Can't test estimator FeatureHasher which requires input  of type ['dict']
915s     warnings.warn(
915s 
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:331
915s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:331: SkipTestWarning: Can't test estimator HashingVectorizer which requires input  of type ['string']
915s     warnings.warn(
915s 
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:331
915s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:331: SkipTestWarning: Can't test estimator IsotonicRegression which requires input  of type ['1darray']
915s     warnings.warn(
915s 
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:331
915s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:331: SkipTestWarning: Can't test estimator LabelBinarizer which requires input  of type ['1dlabels']
915s     warnings.warn(
915s 
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:331
915s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:331: SkipTestWarning: Can't test estimator LabelEncoder which requires input  of type ['1dlabels']
915s     warnings.warn(
915s 
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:331
915s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:331: SkipTestWarning: Can't test estimator MultiLabelBinarizer which requires input  of type ['2dlabels']
915s     warnings.warn(
915s 
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:339
915s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:339: SkipTestWarning: Explicit SKIP via _skip_test tag for estimator MultiOutputClassifier.
915s     warnings.warn(
915s 
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:331
915s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:331: SkipTestWarning: Can't test estimator PatchExtractor which requires input  of type ['3darray']
915s     warnings.warn(
915s 
915s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:331
915s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:331: SkipTestWarning: Can't test estimator TfidfVectorizer which requires input  of type ['string']
915s     warnings.warn(
915s 
915s sklearn/utils/_typedefs.pyx:20
915s   sklearn/utils/_typedefs.pyx:20: PytestCollectionWarning: cannot collect 'testing_make_array_from_typed_val' because it is not a function.
915s 
915s cluster/tests/test_affinity_propagation.py::test_affinity_propagation_equal_points
915s   /usr/lib/python3/dist-packages/sklearn/cluster/_affinity_propagation.py:52: UserWarning: All samples have mutually equal similarities. Returning arbitrary cluster center(s).
915s     warnings.warn(
915s 
915s cluster/tests/test_bicluster.py::test_n_features_in_[est0]
915s cluster/tests/test_bicluster.py::test_n_features_in_[est0]
915s   /usr/lib/python3/dist-packages/sklearn/base.py:1474: ConvergenceWarning: Number of distinct clusters (2) found smaller than n_clusters (3). Possibly due to duplicate points in X.
915s     return fit_method(estimator, *args, **kwargs)
915s 
915s cluster/tests/test_birch.py::test_birch_predict[42-float64]
915s   /usr/lib/python3/dist-packages/sklearn/cluster/_birch.py:725: ConvergenceWarning: Number of subclusters found (3) by BIRCH is less than (4). Decrease the threshold.
915s     warnings.warn(
915s 
915s cluster/tests/test_dbscan.py: 10 warnings
915s manifold/tests/test_isomap.py: 1 warning
915s neighbors/tests/test_neighbors.py: 122 warnings
915s utils/tests/test_estimator_checks.py: 10 warnings
915s   /usr/lib/python3/dist-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.
915s     warnings.warn(
915s 
915s cluster/tests/test_hdbscan.py::test_hdbscan_usable_inputs[kwargs0-X0]
915s   /usr/lib/python3/dist-packages/sklearn/cluster/_hdbscan/hdbscan.py:264: 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.
915s     warn(
915s 
915s cluster/tests/test_hierarchical.py::test_affinity_passed_to_fix_connectivity
915s   /usr/lib/python3/dist-packages/sklearn/cluster/_agglomerative.py:593: UserWarning: the number of connected components of the connectivity matrix is 2 > 1. Completing it to avoid stopping the tree early.
915s     connectivity, n_connected_components = _fix_connectivity(
915s 
915s cluster/tests/test_spectral.py::test_spectral_clustering_np_matrix_raises
915s   /usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py:314: 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.
915s     X = np.matrix([[0.0, 2.0], [2.0, 0.0]])
915s 
915s covariance/tests/test_graphical_lasso.py::test_graphical_lasso_n_iter[cd]
915s   /usr/lib/python3/dist-packages/sklearn/covariance/_graph_lasso.py:132: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008809462491801145, tolerance: 8.876533008162506e-05
915s     coefs, _, _, _ = cd_fast.enet_coordinate_descent_gram(
915s 
915s covariance/tests/test_graphical_lasso.py::test_graphical_lasso_n_iter[cd]
915s   /usr/lib/python3/dist-packages/sklearn/covariance/_graph_lasso.py:132: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0010103266374815734, tolerance: 8.968620303769867e-05
915s     coefs, _, _, _ = cd_fast.enet_coordinate_descent_gram(
915s 
915s covariance/tests/test_graphical_lasso.py::test_graphical_lasso_n_iter[cd]
915s   /usr/lib/python3/dist-packages/sklearn/covariance/_graph_lasso.py:132: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.002290488556457193, tolerance: 0.00011435637954661185
915s     coefs, _, _, _ = cd_fast.enet_coordinate_descent_gram(
915s 
915s covariance/tests/test_graphical_lasso.py::test_graphical_lasso_n_iter[cd]
915s   /usr/lib/python3/dist-packages/sklearn/covariance/_graph_lasso.py:184: ConvergenceWarning: graphical_lasso: did not converge after 2 iteration: dual gap: 8.601e-03
915s     warnings.warn(
915s 
915s covariance/tests/test_graphical_lasso.py: 20 warnings
915s   /usr/lib/python3/dist-packages/sklearn/covariance/_empirical_covariance.py:102: UserWarning: Only one sample available. You may want to reshape your data array
915s     warnings.warn(
915s 
915s covariance/tests/test_graphical_lasso.py::test_graphical_lasso_cv
915s   /usr/lib/python3/dist-packages/numpy/core/_methods.py:236: RuntimeWarning: invalid value encountered in subtract
915s     x = asanyarray(arr - arrmean)
915s 
915s covariance/tests/test_robust_covariance.py::test_mcd_issue3367[42]
915s   /usr/lib/python3/dist-packages/sklearn/covariance/_robust_covariance.py:747: UserWarning: The covariance matrix associated to your dataset is not full rank
915s     warnings.warn(
915s 
915s datasets/tests/test_svmlight_format.py: 16 warnings
915s   /usr/lib/python3/dist-packages/scipy/sparse/_data.py:72: RuntimeWarning: invalid value encountered in cast
915s     self.data.astype(dtype, casting=casting, copy=True),
915s 
915s datasets/tests/test_svmlight_format.py: 12 warnings
915s   /usr/lib/python3/dist-packages/sklearn/datasets/tests/test_svmlight_format.py:290: RuntimeWarning: invalid value encountered in cast
915s     X_input = X.astype(dtype)
915s 
915s decomposition/tests/test_kernel_pca.py: 28 warnings
915s linear_model/tests/test_passive_aggressive.py: 2 warnings
915s tests/test_multioutput.py: 39 warnings
915s utils/tests/test_estimator_checks.py: 1 warning
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_stochastic_gradient.py:723: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
915s     warnings.warn(
915s 
915s decomposition/tests/test_nmf.py::test_nmf_fit_close[NMF-solver1]
915s   /usr/lib/python3/dist-packages/sklearn/decomposition/_nmf.py:1770: ConvergenceWarning: Maximum number of iterations 600 reached. Increase it to improve convergence.
915s     warnings.warn(
915s 
915s decomposition/tests/test_nmf.py::test_nmf_transform[mu]
915s decomposition/tests/test_nmf.py::test_nmf_regularization[NMF-solver0]
915s   /usr/lib/python3/dist-packages/sklearn/decomposition/_nmf.py:1770: ConvergenceWarning: Maximum number of iterations 200 reached. Increase it to improve convergence.
915s     warnings.warn(
915s 
915s decomposition/tests/test_nmf.py: 24 warnings
915s   /usr/lib/python3/dist-packages/sklearn/decomposition/_nmf.py:1621: 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.
915s     warnings.warn(
915s 
915s decomposition/tests/test_nmf.py::test_non_negative_factorization_consistency[0.0-1.0-cd-random]
915s decomposition/tests/test_nmf.py::test_non_negative_factorization_consistency[0.0-1.0-cd-random]
915s decomposition/tests/test_nmf.py::test_non_negative_factorization_consistency[0.0-1.0-cd-nndsvd]
915s decomposition/tests/test_nmf.py::test_non_negative_factorization_consistency[0.0-1.0-cd-nndsvd]
915s decomposition/tests/test_nmf.py::test_non_negative_factorization_consistency[1.0-0.0-cd-random]
915s decomposition/tests/test_nmf.py::test_non_negative_factorization_consistency[1.0-0.0-cd-random]
915s decomposition/tests/test_nmf.py::test_non_negative_factorization_consistency[1.0-0.0-cd-nndsvd]
915s decomposition/tests/test_nmf.py::test_non_negative_factorization_consistency[1.0-0.0-cd-nndsvd]
915s   /usr/lib/python3/dist-packages/sklearn/decomposition/_nmf.py:1770: ConvergenceWarning: Maximum number of iterations 500 reached. Increase it to improve convergence.
915s     warnings.warn(
915s 
915s decomposition/tests/test_nmf.py::test_nmf_negative_beta_loss[csr_matrix]
915s decomposition/tests/test_nmf.py::test_nmf_negative_beta_loss[csr_array]
915s   /usr/lib/python3/dist-packages/sklearn/decomposition/_nmf.py:181: RuntimeWarning: divide by zero encountered in power
915s     sum_WH_beta = np.sum(WH**beta)
915s 
915s decomposition/tests/test_nmf.py::test_nmf_dtype_match[MiniBatchNMF-solver2-float64-float64]
915s decomposition/tests/test_nmf.py::test_nmf_dtype_match[MiniBatchNMF-solver2-float64-float64]
915s decomposition/tests/test_nmf.py::test_nmf_n_components_auto[MiniBatchNMF]
915s   /usr/lib/python3/dist-packages/sklearn/decomposition/_nmf.py:2353: ConvergenceWarning: Maximum number of iterations 200 reached. Increase it to improve convergence.
915s     warnings.warn(
915s 
915s decomposition/tests/test_online_lda.py::test_lda_empty_docs[csr_matrix]
915s decomposition/tests/test_online_lda.py::test_lda_empty_docs[csr_array]
915s   /usr/lib/python3/dist-packages/sklearn/decomposition/_lda.py:894: RuntimeWarning: invalid value encountered in scalar divide
915s     perword_bound = bound / word_cnt
915s 
915s ensemble/tests/test_bagging.py: 32 warnings
915s   /usr/lib/python3/dist-packages/sklearn/ensemble/_bagging.py:914: RuntimeWarning: divide by zero encountered in log
915s     log_proba = np.log(self.predict_proba(X))
915s 
915s ensemble/tests/test_bagging.py::test_oob_score_removed_on_warm_start
915s   /usr/lib/python3/dist-packages/sklearn/ensemble/_bagging.py:769: UserWarning: Some inputs do not have OOB scores. This probably means too few estimators were used to compute any reliable oob estimates.
915s     warn(
915s 
915s ensemble/tests/test_bagging.py::test_oob_score_removed_on_warm_start
915s   /usr/lib/python3/dist-packages/sklearn/ensemble/_bagging.py:775: RuntimeWarning: invalid value encountered in divide
915s     oob_decision_function = predictions / predictions.sum(axis=1)[:, np.newaxis]
915s 
915s ensemble/tests/test_bagging.py::test_bagging_regressor_with_missing_inputs
915s tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None]
915s tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None]
915s tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_matrix]
915s tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_array]
915s   /usr/lib/python3/dist-packages/numpy/core/fromnumeric.py:86: RuntimeWarning: invalid value encountered in reduce
915s     return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
915s 
915s ensemble/tests/test_bagging.py: 7 warnings
915s tree/tests/test_tree.py: 73 warnings
915s utils/tests/test_response.py: 1 warning
915s   /usr/lib/python3/dist-packages/sklearn/tree/_classes.py:1074: RuntimeWarning: divide by zero encountered in log
915s     return np.log(proba)
915s 
915s ensemble/tests/test_forest.py::test_class_weight_errors[ExtraTreesClassifier]
915s ensemble/tests/test_forest.py::test_class_weight_errors[RandomForestClassifier]
915s   /usr/lib/python3/dist-packages/sklearn/ensemble/_forest.py:862: 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.
915s     warn(
915s 
915s ensemble/tests/test_forest.py::test_mse_criterion_object_segfault_smoke_test[ExtraTreesRegressor]
915s ensemble/tests/test_forest.py::test_mse_criterion_object_segfault_smoke_test[RandomForestRegressor]
915s   /usr/lib/python3/dist-packages/sklearn/base.py:1474: 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().
915s     return fit_method(estimator, *args, **kwargs)
915s 
915s ensemble/tests/test_stacking.py: 30 warnings
915s neural_network/tests/test_mlp.py: 1 warning
915s   /usr/lib/python3/dist-packages/sklearn/neural_network/_multilayer_perceptron.py:691: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn't converged yet.
915s     warnings.warn(
915s 
915s ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME]
915s ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME]
915s ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME]
915s ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME]
915s ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME]
915s ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME]
915s ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME]
915s ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME]
915s ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME]
915s   /usr/lib/python3/dist-packages/sklearn/ensemble/_weight_boosting.py:696: RuntimeWarning: divide by zero encountered in log
915s     np.log(sample_weight)
915s 
915s ensemble/tests/test_weight_boosting.py: 21 warnings
915s   /usr/lib/python3/dist-packages/sklearn/ensemble/_weight_boosting.py:519: FutureWarning: The SAMME.R algorithm (the default) is deprecated and will be removed in 1.6. Use the SAMME algorithm to circumvent this warning.
915s     warnings.warn(
915s 
915s feature_extraction/tests/test_text.py::test_vectorizer_pipeline_grid_selection
915s   /usr/lib/python3/dist-packages/sklearn/model_selection/_split.py:737: UserWarning: The least populated class in y has only 4 members, which is less than n_splits=5.
915s     warnings.warn(
915s 
915s feature_extraction/tests/test_text.py::test_vectorizer_stop_words_inconsistent
915s feature_extraction/tests/test_text.py::test_vectorizer_stop_words_inconsistent
915s feature_extraction/tests/test_text.py::test_vectorizer_stop_words_inconsistent
915s   /usr/lib/python3/dist-packages/sklearn/feature_extraction/text.py:408: UserWarning: Your stop_words may be inconsistent with your preprocessing. Tokenizing the stop words generated tokens ['and', 'll', 've'] not in stop_words.
915s     warnings.warn(
915s 
915s feature_selection/tests/test_from_model.py::test_inferred_max_features_integer[0]
915s feature_selection/tests/test_from_model.py::test_coef_default_threshold[estimator1]
915s feature_selection/tests/test_from_model.py::test_coef_default_threshold[estimator2]
915s feature_selection/tests/test_from_model.py::test_coef_default_threshold[estimator3]
915s   /usr/lib/python3/dist-packages/sklearn/feature_selection/_base.py:121: UserWarning: No features were selected: either the data is too noisy or the selection test too strict.
915s     warnings.warn(
915s 
915s feature_selection/tests/test_rfe.py: 50 warnings
915s model_selection/tests/test_search.py: 30 warnings
915s svm/tests/test_svm.py: 17 warnings
915s tests/test_calibration.py: 16 warnings
915s   /usr/lib/python3/dist-packages/sklearn/svm/_base.py:1237: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
915s     warnings.warn(
915s 
915s feature_selection/tests/test_variance_threshold.py::test_variance_nan[None]
915s   /usr/lib/python3/dist-packages/sklearn/feature_selection/_variance_threshold.py:112: RuntimeWarning: Degrees of freedom <= 0 for slice.
915s     self.variances_ = np.nanvar(X, axis=0)
915s 
915s feature_selection/tests/test_variance_threshold.py::test_variance_nan[None]
915s feature_selection/tests/test_variance_threshold.py::test_variance_nan[bsr_matrix]
915s feature_selection/tests/test_variance_threshold.py::test_variance_nan[bsr_array]
915s feature_selection/tests/test_variance_threshold.py::test_variance_nan[csc_matrix]
915s feature_selection/tests/test_variance_threshold.py::test_variance_nan[csc_array]
915s feature_selection/tests/test_variance_threshold.py::test_variance_nan[csr_matrix]
915s feature_selection/tests/test_variance_threshold.py::test_variance_nan[csr_array]
915s   /usr/lib/python3/dist-packages/sklearn/feature_selection/_variance_threshold.py:120: RuntimeWarning: All-NaN slice encountered
915s     self.variances_ = np.nanmin(compare_arr, axis=0)
915s 
915s gaussian_process/tests/test_gpc.py: 12 warnings
915s   /usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:455: 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.
915s     warnings.warn(
915s 
915s gaussian_process/tests/test_gpc.py::test_random_starts[42]
915s gaussian_process/tests/test_gpr.py::test_constant_target[kernel3]
915s   /usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:445: 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.
915s     warnings.warn(
915s 
915s gaussian_process/tests/test_gpc.py::test_multi_class[kernel0]
915s gaussian_process/tests/test_gpc.py::test_multi_class_n_jobs[kernel0]
915s gaussian_process/tests/test_gpc.py::test_multi_class_n_jobs[kernel0]
915s gaussian_process/tests/test_gpr.py::test_constant_target[kernel0]
915s   /usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:455: 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.
915s     warnings.warn(
915s 
915s gaussian_process/tests/test_gpr.py: 24 warnings
915s   /usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:445: 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.
915s     warnings.warn(
915s 
915s gaussian_process/tests/test_gpr.py: 13 warnings
915s   /usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:445: 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.
915s     warnings.warn(
915s 
915s gaussian_process/tests/test_gpr.py::test_random_starts
915s   /usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:445: 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.
915s     warnings.warn(
915s 
915s gaussian_process/tests/test_gpr.py::test_random_starts
915s   /usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:445: 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.
915s     warnings.warn(
915s 
915s gaussian_process/tests/test_gpr.py::test_bound_check_fixed_hyperparameter
915s   /usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:445: 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.
915s     warnings.warn(
915s 
915s gaussian_process/tests/test_gpr.py::test_constant_target[kernel2]
915s   /usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:455: 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.
915s     warnings.warn(
915s 
915s gaussian_process/tests/test_gpr.py::test_constant_target[kernel3]
915s   /usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:455: 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.
915s     warnings.warn(
915s 
915s gaussian_process/tests/test_gpr.py::test_constant_target[kernel4]
915s gaussian_process/tests/test_gpr.py::test_constant_target[kernel5]
915s   /usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:445: 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.
915s     warnings.warn(
915s 
915s gaussian_process/tests/test_gpr.py::test_constant_target[kernel4]
915s gaussian_process/tests/test_gpr.py::test_constant_target[kernel5]
915s   /usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:455: 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.
915s     warnings.warn(
915s 
915s gaussian_process/tests/test_gpr.py::test_gpr_fit_error[params1-ValueError-requires that all bounds are finite]
915s   /usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:360: RuntimeWarning: invalid value encountered in log
915s     return np.log(np.vstack(bounds))
915s 
915s gaussian_process/tests/test_gpr.py::test_gpr_predict_input_not_modified
915s   /usr/lib/python3/dist-packages/sklearn/gaussian_process/_gpr.py:663: ConvergenceWarning: lbfgs failed to converge (status=2):
915s   ABNORMAL_TERMINATION_IN_LNSRCH.
915s   
915s   Increase the number of iterations (max_iter) or scale the data as shown in:
915s       https://scikit-learn.org/stable/modules/preprocessing.html
915s     _check_optimize_result("lbfgs", opt_res)
915s 
915s gaussian_process/tests/test_gpr.py::test_gpr_predict_input_not_modified
915s   /usr/lib/python3/dist-packages/sklearn/gaussian_process/_gpr.py:479: UserWarning: Predicted variances smaller than 0. Setting those variances to 0.
915s     warnings.warn(
915s 
915s impute/tests/test_impute.py::test_imputation_mean_median[csc_matrix]
915s impute/tests/test_impute.py::test_imputation_mean_median[csc_array]
915s impute/tests/test_impute.py::test_iterative_imputer_no_missing
915s impute/tests/test_impute.py::test_iterative_imputer_no_missing
915s impute/tests/test_impute.py::test_iterative_imputer_no_missing
915s impute/tests/test_impute.py::test_simple_imputer_keep_empty_features[False-mean-array]
915s impute/tests/test_impute.py::test_simple_imputer_keep_empty_features[False-mean-array]
915s impute/tests/test_impute.py::test_simple_imputer_keep_empty_features[False-mean-sparse]
915s   /usr/lib/python3/dist-packages/sklearn/impute/_base.py:577: UserWarning: Skipping features without any observed values: [0]. At least one non-missing value is needed for imputation with strategy='mean'.
915s     warnings.warn(
915s 
915s impute/tests/test_impute.py::test_imputation_mean_median[csc_matrix]
915s impute/tests/test_impute.py::test_imputation_mean_median[csc_array]
915s impute/tests/test_impute.py::test_simple_imputer_keep_empty_features[False-median-array]
915s impute/tests/test_impute.py::test_simple_imputer_keep_empty_features[False-median-array]
915s impute/tests/test_impute.py::test_simple_imputer_keep_empty_features[False-median-sparse]
915s   /usr/lib/python3/dist-packages/sklearn/impute/_base.py:577: UserWarning: Skipping features without any observed values: [0]. At least one non-missing value is needed for imputation with strategy='median'.
915s     warnings.warn(
915s 
915s impute/tests/test_impute.py: 10 warnings
915s   /usr/lib/python3/dist-packages/sklearn/impute/_base.py:577: UserWarning: Skipping features without any observed values: [0]. At least one non-missing value is needed for imputation with strategy='most_frequent'.
915s     warnings.warn(
915s 
915s impute/tests/test_impute.py: 32 warnings
915s   /usr/lib/python3/dist-packages/sklearn/impute/_iterative.py:801: ConvergenceWarning: [IterativeImputer] Early stopping criterion not reached.
915s     warnings.warn(
915s 
915s impute/tests/test_impute.py::test_iterative_imputer_all_missing
915s impute/tests/test_impute.py::test_iterative_imputer_all_missing
915s   /usr/lib/python3/dist-packages/sklearn/impute/_base.py:577: UserWarning: Skipping features without any observed values: [0 1 2]. At least one non-missing value is needed for imputation with strategy='mean'.
915s     warnings.warn(
915s 
915s impute/tests/test_knn.py::test_knn_imputer_with_simple_example[-1-0]
915s impute/tests/test_knn.py::test_knn_imputer_with_simple_example[nan-0]
915s impute/tests/test_knn.py::test_knn_imputer_distance_weighted_not_enough_neighbors[-1-0]
915s impute/tests/test_knn.py::test_knn_imputer_distance_weighted_not_enough_neighbors[-1-0]
915s impute/tests/test_knn.py::test_knn_imputer_distance_weighted_not_enough_neighbors[nan-0]
915s impute/tests/test_knn.py::test_knn_imputer_distance_weighted_not_enough_neighbors[nan-0]
915s metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce[float64]
915s metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce_none[float64]
915s   /usr/lib/python3/dist-packages/sklearn/utils/__init__.py:1118: UserWarning: Could not adhere to working_memory config. Currently 0MiB, 1MiB required.
915s     warnings.warn(
915s 
915s inspection/_plot/tests/test_boundary_decision_display.py::test_decision_boundary_display_outlier_detector[contour-predict]
915s   /usr/lib/python3/dist-packages/sklearn/inspection/_plot/decision_boundary.py:187: UserWarning: No contour levels were found within the data range.
915s     self.surface_ = plot_func(self.xx0, self.xx1, self.response, **kwargs)
915s 
915s linear_model/tests/test_coordinate_descent.py::test_lasso_zero
915s linear_model/tests/test_coordinate_descent.py::test_uniform_targets
915s linear_model/tests/test_coordinate_descent.py::test_uniform_targets
915s linear_model/tests/test_coordinate_descent.py::test_uniform_targets
915s linear_model/tests/test_coordinate_descent.py::test_uniform_targets
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:678: ConvergenceWarning: Objective 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
915s     model = cd_fast.enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_enet_nonfinite_params
915s   /usr/lib/python3/dist-packages/numpy/core/_methods.py:181: RuntimeWarning: overflow encountered in reduce
915s     ret = umr_sum(arr, axis, dtype, out, keepdims, where=where)
915s 
915s linear_model/tests/test_coordinate_descent.py::test_enet_nonfinite_params
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:678: ConvergenceWarning: Objective 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
915s     model = cd_fast.enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py: 44 warnings
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:664: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-15, tolerance: 1.404036409324171e-15
915s     model = cd_fast.enet_coordinate_descent_gram(
915s 
915s linear_model/tests/test_coordinate_descent.py: 46 warnings
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:664: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-15, tolerance: 1.2858308696095575e-15
915s     model = cd_fast.enet_coordinate_descent_gram(
915s 
915s linear_model/tests/test_coordinate_descent.py: 44 warnings
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:664: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-15, tolerance: 1.4340335165128714e-15
915s     model = cd_fast.enet_coordinate_descent_gram(
915s 
915s linear_model/tests/test_coordinate_descent.py: 42 warnings
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:664: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-15, tolerance: 1.4257797990385112e-15
915s     model = cd_fast.enet_coordinate_descent_gram(
915s 
915s linear_model/tests/test_coordinate_descent.py: 32 warnings
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:664: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-15, tolerance: 1.3875425663975809e-15
915s     model = cd_fast.enet_coordinate_descent_gram(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:664: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3.552713678800501e-15, tolerance: 1.3875425663975809e-15
915s     model = cd_fast.enet_coordinate_descent_gram(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:678: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.776e-14, tolerance: 1.738e-15
915s     model = cd_fast.enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3.552713678800501e-15, tolerance: 1.404036409324171e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.5987211554602254e-14, tolerance: 1.404036409324171e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.0658141036401503e-14, tolerance: 1.404036409324171e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7.105427357601002e-15, tolerance: 1.404036409324171e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5.329070518200751e-15, tolerance: 1.404036409324171e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.4210854715202004e-14, tolerance: 1.404036409324171e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8.881784197001252e-15, tolerance: 1.404036409324171e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 2.3092638912203256e-14, tolerance: 1.404036409324171e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.9539925233402755e-14, tolerance: 1.404036409324171e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.2434497875801753e-14, tolerance: 1.404036409324171e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-14, tolerance: 1.404036409324171e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3.552713678800501e-14, tolerance: 1.404036409324171e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4.796163466380676e-14, tolerance: 1.404036409324171e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4.263256414560601e-14, tolerance: 1.404036409324171e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7.283063041541027e-14, tolerance: 1.404036409324171e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3.552713678800501e-15, tolerance: 1.2858308696095575e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-14, tolerance: 1.2858308696095575e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.0658141036401503e-14, tolerance: 1.2858308696095575e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6.927791673660977e-14, tolerance: 1.2858308696095575e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.3677947663381929e-13, tolerance: 1.2858308696095575e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.3500311979441904e-13, tolerance: 1.2858308696095575e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.5987211554602254e-14, tolerance: 1.2858308696095575e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4.618527782440651e-14, tolerance: 1.2858308696095575e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8.526512829121202e-14, tolerance: 1.2858308696095575e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.2256862191861728e-13, tolerance: 1.2858308696095575e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8.881784197001252e-15, tolerance: 1.4340335165128714e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5.1514348342607263e-14, tolerance: 1.4340335165128714e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8.171241461241152e-14, tolerance: 1.4340335165128714e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4.973799150320701e-14, tolerance: 1.4340335165128714e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5.329070518200751e-15, tolerance: 1.4340335165128714e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.0658141036401503e-14, tolerance: 1.4340335165128714e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6.927791673660977e-14, tolerance: 1.4340335165128714e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7.815970093361102e-14, tolerance: 1.4340335165128714e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8.348877145181177e-14, tolerance: 1.4340335165128714e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9.414691248821327e-14, tolerance: 1.4340335165128714e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9.947598300641403e-14, tolerance: 1.4340335165128714e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4.440892098500626e-14, tolerance: 1.4340335165128714e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5.329070518200751e-15, tolerance: 1.4257797990385112e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.0658141036401503e-14, tolerance: 1.4257797990385112e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-14, tolerance: 1.4257797990385112e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8.881784197001252e-15, tolerance: 1.4257797990385112e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.4210854715202004e-14, tolerance: 1.4257797990385112e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.2434497875801753e-14, tolerance: 1.4257797990385112e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-15, tolerance: 1.4257797990385112e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3.907985046680551e-14, tolerance: 1.4257797990385112e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3.552713678800501e-14, tolerance: 1.4257797990385112e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4.440892098500626e-14, tolerance: 1.4257797990385112e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 9.059419880941277e-14, tolerance: 1.4257797990385112e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4.618527782440651e-14, tolerance: 1.4257797990385112e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8.526512829121202e-14, tolerance: 1.4257797990385112e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 2.6645352591003757e-14, tolerance: 1.4257797990385112e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4.796163466380676e-14, tolerance: 1.4257797990385112e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3.552713678800501e-15, tolerance: 1.3875425663975809e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.2434497875801753e-14, tolerance: 1.3875425663975809e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.9539925233402755e-14, tolerance: 1.3875425663975809e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8.881784197001252e-15, tolerance: 1.3875425663975809e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5.329070518200751e-15, tolerance: 1.3875425663975809e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.0658141036401503e-14, tolerance: 1.3875425663975809e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4.618527782440651e-14, tolerance: 1.3875425663975809e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5.3290705182007514e-14, tolerance: 1.3875425663975809e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6.394884621840902e-14, tolerance: 1.3875425663975809e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.4210854715202004e-14, tolerance: 1.3875425663975809e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3.552713678800501e-14, tolerance: 1.3875425663975809e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7.105427357601002e-15, tolerance: 1.7383268216560705e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-ElasticNet-params5]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-ElasticNet-params5]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:678: ConvergenceWarning: Objective 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.
915s     model = cd_fast.enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-ElasticNet-params5]
915s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-ElasticNet-params5]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8.519405806421274, tolerance: 1.7383268216560705e-15
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py: 60 warnings
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:664: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0, tolerance: 0.0
915s     model = cd_fast.enet_coordinate_descent_gram(
915s 
915s linear_model/tests/test_coordinate_descent.py: 20 warnings
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:656: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0, tolerance: 0.0
915s     model = cd_fast.enet_coordinate_descent_multi_task(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_uniform_targets
915s linear_model/tests/test_coordinate_descent.py::test_uniform_targets
915s linear_model/tests/test_coordinate_descent.py::test_uniform_targets
915s linear_model/tests/test_coordinate_descent.py::test_uniform_targets
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:2525: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0, tolerance: 0.0
915s     ) = cd_fast.enet_coordinate_descent_multi_task(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_multitask_enet_and_lasso_cv
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:2525: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 2.5515863893489414, tolerance: 2.1444555087788615
915s     ) = cd_fast.enet_coordinate_descent_multi_task(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_multitask_enet_and_lasso_cv
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:2525: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 2.173006581650433, tolerance: 2.1444555087788615
915s     ) = cd_fast.enet_coordinate_descent_multi_task(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_check_input_false
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:678: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.314e-06, tolerance: 2.248e-07
915s     model = cd_fast.enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_check_input_false
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:678: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.603e-07, tolerance: 3.105e-07
915s     model = cd_fast.enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_check_input_false
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:678: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.706e-07, tolerance: 1.972e-07
915s     model = cd_fast.enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_check_input_false
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:678: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.505e-06, tolerance: 1.723e-07
915s     model = cd_fast.enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_check_input_false
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:678: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.241e-06, tolerance: 1.215e-07
915s     model = cd_fast.enet_coordinate_descent(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_linear_models_cv_fit_with_loky[ElasticNetCV]
915s   /usr/lib/python3/dist-packages/joblib/parallel.py:366: UserWarning: joblib backend 'loky' is not available on your system, falling back to threading.
915s     backend = self._check_backend(
915s 
915s linear_model/tests/test_coordinate_descent.py::test_enet_ridge_consistency[0.1]
915s linear_model/tests/test_coordinate_descent.py::test_enet_ridge_consistency[1.0]
915s linear_model/tests/test_coordinate_descent.py::test_enet_ridge_consistency[1000000.0]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:678: ConvergenceWarning: Objective did 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.
915s     model = cd_fast.enet_coordinate_descent(
915s 
915s linear_model/tests/test_huber.py::test_huber_max_iter
915s linear_model/tests/test_quantile.py::test_quantile_equals_huber_for_low_epsilon[True]
915s linear_model/tests/test_quantile.py::test_quantile_equals_huber_for_low_epsilon[False]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_huber.py:342: ConvergenceWarning: lbfgs failed to converge (status=1):
915s   STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.
915s   
915s   Increase the number of iterations (max_iter) or scale the data as shown in:
915s       https://scikit-learn.org/stable/modules/preprocessing.html
915s     self.n_iter_ = _check_optimize_result("lbfgs", opt_res, self.max_iter)
915s 
915s linear_model/tests/test_omp.py::test_unreachable_accuracy
915s linear_model/tests/test_omp.py::test_unreachable_accuracy
915s linear_model/tests/test_omp.py::test_omp_cv
915s linear_model/tests/test_omp.py::test_omp_cv
915s linear_model/tests/test_omp.py::test_omp_cv
915s linear_model/tests/test_omp.py::test_omp_cv
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_omp.py:435: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met.
915s     out = _cholesky_omp(
915s 
915s linear_model/tests/test_passive_aggressive.py: 12 warnings
915s tests/test_multioutput.py: 1 warning
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_stochastic_gradient.py:1575: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
915s     warnings.warn(
915s 
915s linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized[wide-42-True-cholesky]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_ridge.py:241: LinAlgWarning: Ill-conditioned matrix (rcond=1.99193e-17): result may not be accurate.
915s     dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False)
915s 
915s linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[wide-42-True-cholesky]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_ridge.py:241: LinAlgWarning: Ill-conditioned matrix (rcond=2.9879e-17): result may not be accurate.
915s     dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False)
915s 
915s linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-True-cholesky]
915s linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-False-cholesky]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_ridge.py:243: UserWarning: Singular matrix in solving dual problem. Using least-squares solution instead.
915s     warnings.warn(
915s 
915s linear_model/tests/test_ridge.py: 18 warnings
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
915s     warnings.warn(
915s 
915s linear_model/tests/test_ridge.py: 54 warnings
915s model_selection/tests/test_search.py: 16 warnings
915s   /usr/lib/python3/dist-packages/sklearn/metrics/_regression.py:1187: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
915s     warnings.warn(msg, UndefinedMetricWarning)
915s 
915s linear_model/tests/test_ridge.py::test_ridgecv_sample_weight
915s linear_model/tests/test_ridge.py::test_ridgecv_sample_weight
915s linear_model/tests/test_ridge.py::test_ridgecv_sample_weight
915s linear_model/tests/test_ridge.py::test_ridgecv_sample_weight
915s   /usr/lib/python3/dist-packages/sklearn/model_selection/_search.py:1051: UserWarning: One or more of the test scores are non-finite: [nan nan nan]
915s     warnings.warn(
915s 
915s linear_model/tests/test_ridge.py::test_lbfgs_solver_consistency[0.01]
915s linear_model/tests/test_ridge.py::test_lbfgs_solver_consistency[1.0]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_ridge.py:346: ConvergenceWarning: The lbfgs solver did not converge. Try increasing max_iter or tol. Currently: max_iter=500000 and tol=1e-16
915s     warnings.warn(
915s 
915s linear_model/tests/test_sgd.py::test_SGDClassifier_fit_for_all_backends[multiprocessing]
915s   /usr/lib/python3/dist-packages/joblib/parallel.py:366: UserWarning: joblib backend 'multiprocessing' is not available on your system, falling back to threading.
915s     backend = self._check_backend(
915s 
915s linear_model/tests/test_sparse_coordinate_descent.py::test_lasso_zero[csc_matrix]
915s linear_model/tests/test_sparse_coordinate_descent.py::test_lasso_zero[csc_array]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0, tolerance: 0.0
915s     model = cd_fast.sparse_enet_coordinate_descent(
915s 
915s manifold/tests/test_isomap.py::test_transform[float64-2-None]
915s   /usr/lib/python3/dist-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.
915s     self._fit_transform(X)
915s 
915s manifold/tests/test_isomap.py: 129 warnings
915s utils/tests/test_graph.py: 4 warnings
915s utils/tests/test_validation.py: 16 warnings
915s   /usr/lib/python3/dist-packages/scipy/sparse/_index.py:100: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.
915s     self._set_intXint(row, col, x.flat[0])
915s 
915s manifold/tests/test_isomap.py::test_pipeline[float64-2-None]
915s   /usr/lib/python3/dist-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.
915s     self._fit_transform(X)
915s 
915s manifold/tests/test_isomap.py::test_get_feature_names_out
915s   /usr/lib/python3/dist-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.
915s     self._fit_transform(X)
915s 
915s metrics/tests/test_classification.py::test_classification_report_output_dict_empty_input
915s   /usr/lib/python3/dist-packages/sklearn/metrics/_classification.py:1509: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.
915s     _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
915s 
915s metrics/tests/test_classification.py::test_classification_report_output_dict_empty_input
915s   /usr/lib/python3/dist-packages/sklearn/metrics/_classification.py:1509: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
915s     _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
915s 
915s metrics/tests/test_classification.py::test_classification_report_output_dict_empty_input
915s   /usr/lib/python3/dist-packages/sklearn/metrics/_classification.py:1509: 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.
915s     _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
915s 
915s metrics/tests/test_classification.py::test_likelihood_ratios
915s   /usr/lib/python3/dist-packages/sklearn/utils/_param_validation.py:213: UserWarning: positive_likelihood_ratio ill-defined and being set to nan 
915s     return func(*args, **kwargs)
915s 
915s metrics/tests/test_classification.py::test_matthews_corrcoef
915s   /usr/lib/python3/dist-packages/sklearn/metrics/_classification.py:386: 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.
915s     warnings.warn(
915s 
915s metrics/tests/test_classification.py::test_balanced_accuracy_score[y_true2-y_pred2]
915s   /usr/lib/python3/dist-packages/sklearn/metrics/_classification.py:2458: UserWarning: y_pred contains classes not in y_true
915s     warnings.warn("y_pred contains classes not in y_true")
915s 
915s metrics/tests/test_classification.py::test_classification_metric_pos_label_types[classes3-precision_recall_fscore_support]
915s   /usr/lib/python3/dist-packages/sklearn/metrics/_classification.py:1561: 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.
915s     warnings.warn(
915s 
915s metrics/tests/test_ranking.py::test_precision_recall_curve_drop_intermediate
915s   /usr/lib/python3/dist-packages/sklearn/metrics/_ranking.py:993: UserWarning: No positive class found in y_true, recall is set to one for all thresholds.
915s     warnings.warn(
915s 
915s metrics/tests/test_ranking.py::test_top_k_accuracy_score_binary[y_score2-2-1]
915s metrics/tests/test_ranking.py::test_top_k_accuracy_score_binary[y_score5-2-1]
915s metrics/tests/test_score_objects.py::test_classification_binary_scores[top_k_accuracy-top_k_accuracy_score]
915s metrics/tests/test_score_objects.py::test_classification_binary_scores[top_k_accuracy-top_k_accuracy_score]
915s   /usr/lib/python3/dist-packages/sklearn/metrics/_ranking.py:1988: UndefinedMetricWarning: 'k' (2) greater than or equal to 'n_classes' (2) will result in a perfect score and is therefore meaningless.
915s     warnings.warn(
915s 
915s metrics/tests/test_regression.py::test_multioutput_regression
915s   /usr/lib/python3/dist-packages/sklearn/metrics/tests/test_regression.py:174: RuntimeWarning: invalid value encountered in scalar divide
915s     - np.abs(y_true[:, i] - y_pred[:, i]).sum()
915s 
915s metrics/tests/test_regression.py::test_multioutput_regression
915s metrics/tests/test_regression.py::test_multioutput_regression
915s metrics/tests/test_regression.py::test_multioutput_regression
915s metrics/tests/test_regression.py::test_regression_metrics_at_limits
915s metrics/tests/test_regression.py::test_regression_metrics_at_limits
915s metrics/tests/test_regression.py::test_regression_multioutput_array
915s metrics/tests/test_regression.py::test_regression_multioutput_array
915s metrics/tests/test_regression.py::test_regression_multioutput_array
915s metrics/tests/test_regression.py::test_regression_multioutput_array
915s   /usr/lib/python3/dist-packages/sklearn/metrics/_regression.py:866: RuntimeWarning: invalid value encountered in divide
915s     output_scores = 1 - (numerator / denominator)
915s 
915s metrics/tests/test_regression.py::test_multioutput_regression
915s metrics/tests/test_regression.py::test_regression_metrics_at_limits
915s metrics/tests/test_regression.py::test_regression_metrics_at_limits
915s metrics/tests/test_regression.py::test_regression_multioutput_array
915s   /usr/lib/python3/dist-packages/sklearn/metrics/_regression.py:866: RuntimeWarning: divide by zero encountered in divide
915s     output_scores = 1 - (numerator / denominator)
915s 
915s mixture/tests/test_gaussian_mixture.py::test_regularisation
915s mixture/tests/test_gaussian_mixture.py::test_regularisation
915s mixture/tests/test_gaussian_mixture.py::test_regularisation
915s mixture/tests/test_gaussian_mixture.py::test_regularisation
915s mixture/tests/test_gaussian_mixture.py::test_regularisation
915s mixture/tests/test_gaussian_mixture.py::test_regularisation
915s mixture/tests/test_gaussian_mixture.py::test_regularisation
915s mixture/tests/test_gaussian_mixture.py::test_regularisation
915s   /usr/lib/python3/dist-packages/sklearn/base.py:1474: ConvergenceWarning: Number of distinct clusters (2) found smaller than n_clusters (10). Possibly due to duplicate points in X.
915s     return fit_method(estimator, *args, **kwargs)
915s 
915s mixture/tests/test_gaussian_mixture.py::test_gaussian_mixture_setting_best_params
915s mixture/tests/test_mixture.py::test_gaussian_mixture_n_iter[estimator0]
915s mixture/tests/test_mixture.py::test_gaussian_mixture_n_iter[estimator1]
915s   /usr/lib/python3/dist-packages/sklearn/mixture/_base.py:268: ConvergenceWarning: Initialization 1 did not converge. Try different init parameters, or increase max_iter, tol or check for degenerate data.
915s     warnings.warn(
915s 
915s model_selection/tests/test_search.py::test_SearchCV_with_fit_params[RandomizedSearchCV]
915s model_selection/tests/test_search.py::test_SearchCV_with_fit_params[RandomizedSearchCV]
915s model_selection/tests/test_search.py::test_SearchCV_with_fit_params[RandomizedSearchCV]
915s model_selection/tests/test_search.py::test_empty_cv_iterator_error
915s model_selection/tests/test_search.py::test_random_search_bad_cv
915s   /usr/lib/python3/dist-packages/sklearn/model_selection/_search.py:318: UserWarning: The total space of parameters 3 is smaller than n_iter=10. Running 3 iterations. For exhaustive searches, use GridSearchCV.
915s     warnings.warn(
915s 
915s model_selection/tests/test_search.py: 4 warnings
915s model_selection/tests/test_successive_halving.py: 1 warning
915s tests/test_metaestimators_metadata_routing.py: 6 warnings
915s   /usr/lib/python3/dist-packages/sklearn/model_selection/_search.py:318: UserWarning: The total space of parameters 2 is smaller than n_iter=10. Running 2 iterations. For exhaustive searches, use GridSearchCV.
915s     warnings.warn(
915s 
915s model_selection/tests/test_search.py::test_random_search_cv_results_multimetric
915s model_selection/tests/test_search.py::test_random_search_cv_results_multimetric
915s model_selection/tests/test_search.py::test_random_search_cv_results_multimetric
915s model_selection/tests/test_search.py::test_random_search_cv_results_multimetric
915s model_selection/tests/test_search.py::test_random_search_cv_results_multimetric
915s model_selection/tests/test_search.py::test_random_search_cv_results_multimetric
915s   /usr/lib/python3/dist-packages/sklearn/model_selection/_search.py:318: UserWarning: The total space of parameters 9 is smaller than n_iter=30. Running 9 iterations. For exhaustive searches, use GridSearchCV.
915s     warnings.warn(
915s 
915s model_selection/tests/test_search.py::test_search_cv_results_none_param
915s model_selection/tests/test_split.py::test_nested_cv
915s model_selection/tests/test_split.py::test_nested_cv
915s model_selection/tests/test_split.py::test_nested_cv
915s model_selection/tests/test_split.py::test_nested_cv
915s model_selection/tests/test_split.py::test_nested_cv
915s   /usr/lib/python3/dist-packages/sklearn/model_selection/_search.py:1051: UserWarning: One or more of the test scores are non-finite: [nan nan]
915s     warnings.warn(
915s 
915s model_selection/tests/test_search.py: 1 warning
915s model_selection/tests/test_validation.py: 15 warnings
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_stochastic_gradient.py:1367: RuntimeWarning: divide by zero encountered in log
915s     return np.log(self.predict_proba(X))
915s 
915s model_selection/tests/test_search.py::test_search_estimator_param[RandomizedSearchCV-param_distributions]
915s model_selection/tests/test_search.py::test_multi_metric_search_forwards_metadata[RandomizedSearchCV-param_distributions]
915s model_selection/tests/test_search.py::test_score_rejects_params_with_no_routing_enabled[RandomizedSearchCV-param_distributions]
915s   /usr/lib/python3/dist-packages/sklearn/model_selection/_search.py:318: UserWarning: The total space of parameters 1 is smaller than n_iter=10. Running 1 iterations. For exhaustive searches, use GridSearchCV.
915s     warnings.warn(
915s 
915s model_selection/tests/test_split.py: 14 warnings
915s   /usr/lib/python3/dist-packages/sklearn/model_selection/_split.py:737: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=4.
915s     warnings.warn(
915s 
915s model_selection/tests/test_split.py: 14 warnings
915s   /usr/lib/python3/dist-packages/sklearn/model_selection/_split.py:737: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=6.
915s     warnings.warn(
915s 
915s model_selection/tests/test_split.py: 14 warnings
915s   /usr/lib/python3/dist-packages/sklearn/model_selection/_split.py:737: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=7.
915s     warnings.warn(
915s 
915s model_selection/tests/test_split.py: 14 warnings
915s   /usr/lib/python3/dist-packages/sklearn/model_selection/_split.py:950: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=4.
915s     warnings.warn(
915s 
915s model_selection/tests/test_split.py: 14 warnings
915s   /usr/lib/python3/dist-packages/sklearn/model_selection/_split.py:950: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=6.
915s     warnings.warn(
915s 
915s model_selection/tests/test_split.py: 14 warnings
915s   /usr/lib/python3/dist-packages/sklearn/model_selection/_split.py:950: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=7.
915s     warnings.warn(
915s 
915s model_selection/tests/test_split.py: 10 warnings
915s   /usr/lib/python3/dist-packages/numpy/lib/function_base.py:518: RuntimeWarning: Mean of empty slice.
915s     avg = a.mean(axis, **keepdims_kw)
915s 
915s model_selection/tests/test_split.py: 10 warnings
915s   /usr/lib/python3/dist-packages/numpy/core/_methods.py:192: RuntimeWarning: invalid value encountered in scalar divide
915s     ret = ret.dtype.type(ret / rcount)
915s 
915s model_selection/tests/test_successive_halving.py::test_input_errors[params1-Cannot use parameter a as the resource since it is part of-HalvingRandomSearchCV]
915s   /usr/lib/python3/dist-packages/sklearn/model_selection/_search.py:318: UserWarning: The total space of parameters 1 is smaller than n_iter=100. Running 1 iterations. For exhaustive searches, use GridSearchCV.
915s     warnings.warn(
915s 
915s model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]
915s model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]
915s model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]
915s model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]
915s   /usr/lib/python3/dist-packages/sklearn/model_selection/_search.py:318: UserWarning: The total space of parameters 1 is smaller than n_iter=4. Running 1 iterations. For exhaustive searches, use GridSearchCV.
915s     warnings.warn(
915s 
915s model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]
915s model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]
915s model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]
915s   /usr/lib/python3/dist-packages/sklearn/model_selection/_search.py:318: UserWarning: The total space of parameters 1 is smaller than n_iter=2. Running 1 iterations. For exhaustive searches, use GridSearchCV.
915s     warnings.warn(
915s 
915s model_selection/tests/test_validation.py::test_cross_val_predict_decision_function_shape
915s   /usr/lib/python3/dist-packages/sklearn/model_selection/_validation.py:1426: 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
915s     warnings.warn(
915s 
915s model_selection/tests/test_validation.py::test_cross_val_predict_decision_function_shape
915s model_selection/tests/test_validation.py::test_cross_val_predict_class_subset
915s model_selection/tests/test_validation.py::test_cross_val_predict_class_subset
915s   /usr/lib/python3/dist-packages/sklearn/model_selection/_validation.py:1426: 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
915s     warnings.warn(
915s 
915s model_selection/tests/test_validation.py::test_cross_val_predict_unbalanced
915s model_selection/tests/test_validation.py::test_cross_val_predict_unbalanced
915s   /usr/lib/python3/dist-packages/sklearn/model_selection/_split.py:737: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=2.
915s     warnings.warn(
915s 
915s model_selection/tests/test_validation.py::test_cross_val_predict_unbalanced
915s   /usr/lib/python3/dist-packages/sklearn/model_selection/_validation.py:1426: 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
915s     warnings.warn(
915s 
915s model_selection/tests/test_validation.py::test_cross_val_predict_class_subset
915s model_selection/tests/test_validation.py::test_cross_val_predict_class_subset
915s model_selection/tests/test_validation.py::test_cross_val_predict_class_subset
915s model_selection/tests/test_validation.py::test_cross_val_predict_class_subset
915s model_selection/tests/test_validation.py::test_cross_val_predict_class_subset
915s   /usr/lib/python3/dist-packages/sklearn/model_selection/_validation.py:1426: 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
915s     warnings.warn(
915s 
915s neighbors/tests/test_lof.py::test_n_neighbors_attribute
915s   /usr/lib/python3/dist-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.
915s     warnings.warn(
915s 
915s neighbors/tests/test_lof.py::test_hasattr_prediction
915s neighbors/tests/test_lof.py::test_hasattr_prediction
915s   /usr/lib/python3/dist-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.
915s     warnings.warn(
915s 
915s neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_estimators_nan_inf]
915s neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_estimators_nan_inf]
915s   /usr/lib/python3/dist-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.
915s     warnings.warn(
915s 
915s neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_classifier_data_not_an_array]
915s neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_classifier_data_not_an_array]
915s   /usr/lib/python3/dist-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.
915s     warnings.warn(
915s 
915s neighbors/tests/test_nearest_centroid.py::test_iris
915s neighbors/tests/test_nearest_centroid.py::test_iris_shrinkage
915s neighbors/tests/test_nearest_centroid.py::test_iris_shrinkage
915s neighbors/tests/test_nearest_centroid.py::test_iris_shrinkage
915s   /usr/lib/python3/dist-packages/sklearn/neighbors/_nearest_centroid.py:201: UserWarning: Averaging for metrics other than euclidean and manhattan not supported. The average is set to be the mean.
915s     warnings.warn(
915s 
915s neighbors/tests/test_neighbors.py: 184 warnings
915s   <__array_function__ internals>:200: RuntimeWarning: invalid value encountered in cast
915s 
915s neighbors/tests/test_neighbors.py::test_radius_neighbors_classifier_outlier_labeling[float64-_weight_func-ball_tree]
915s neighbors/tests/test_neighbors.py::test_radius_neighbors_classifier_outlier_labeling[float64-_weight_func-brute]
915s neighbors/tests/test_neighbors.py::test_radius_neighbors_classifier_outlier_labeling[float64-_weight_func-kd_tree]
915s neighbors/tests/test_neighbors.py::test_radius_neighbors_classifier_outlier_labeling[float64-_weight_func-auto]
915s   /usr/lib/python3/dist-packages/sklearn/neighbors/_classification.py:829: RuntimeWarning: invalid value encountered in divide
915s     proba_k /= normalizer
915s 
915s neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_matrix-KNeighborsClassifier]
915s neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_matrix-RadiusNeighborsClassifier]
915s neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_matrix-KNeighborsRegressor]
915s neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_matrix-RadiusNeighborsRegressor]
915s neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_array-KNeighborsClassifier]
915s neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_array-RadiusNeighborsClassifier]
915s neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_array-KNeighborsRegressor]
915s neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_array-RadiusNeighborsRegressor]
915s   /usr/lib/python3/dist-packages/sklearn/neighbors/_base.py:584: UserWarning: cannot use tree with sparse input: using brute force
915s     warnings.warn("cannot use tree with sparse input: using brute force")
915s 
915s neighbors/tests/test_neighbors.py: 11 warnings
915s   /usr/lib/python3/dist-packages/sklearn/neighbors/_unsupervised.py:175: SyntaxWarning: Parameter p is found in metric_params. The corresponding parameter from __init__ is ignored.
915s     return self._fit(X)
915s 
915s neighbors/tests/test_neighbors.py::test_valid_brute_metric_for_auto_algorithm[float64-csr_matrix-yule]
915s neighbors/tests/test_neighbors.py::test_valid_brute_metric_for_auto_algorithm[float64-csr_array-yule]
915s neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-yule]
915s neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-yule]
915s   /usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:2317: DataConversionWarning: Data was converted to boolean for metric yule
915s     warnings.warn(msg, DataConversionWarning)
915s 
915s neighbors/tests/test_neighbors.py::test_radius_neighbors_predict_proba
915s neighbors/tests/test_neighbors.py::test_radius_neighbors_predict_proba
915s   /usr/lib/python3/dist-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.
915s     warnings.warn(
915s 
915s neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-dice]
915s neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-dice]
915s   /usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:2317: DataConversionWarning: Data was converted to boolean for metric dice
915s     warnings.warn(msg, DataConversionWarning)
915s 
915s neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-jaccard]
915s neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-jaccard]
915s   /usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:2317: DataConversionWarning: Data was converted to boolean for metric jaccard
915s     warnings.warn(msg, DataConversionWarning)
915s 
915s neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-rogerstanimoto]
915s neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-rogerstanimoto]
915s   /usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:2317: DataConversionWarning: Data was converted to boolean for metric rogerstanimoto
915s     warnings.warn(msg, DataConversionWarning)
915s 
915s neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-russellrao]
915s neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-russellrao]
915s   /usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:2317: DataConversionWarning: Data was converted to boolean for metric russellrao
915s     warnings.warn(msg, DataConversionWarning)
915s 
915s neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-sokalmichener]
915s neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-sokalmichener]
915s   /usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:2317: DataConversionWarning: Data was converted to boolean for metric sokalmichener
915s     warnings.warn(msg, DataConversionWarning)
915s 
915s neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-sokalsneath]
915s neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-sokalsneath]
915s   /usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:2317: DataConversionWarning: Data was converted to boolean for metric sokalsneath
915s     warnings.warn(msg, DataConversionWarning)
915s 
915s neighbors/tests/test_neighbors.py::test_nearest_neighbours_works_with_p_less_than_1
915s   /usr/lib/python3/dist-packages/sklearn/neighbors/_base.py:654: UserWarning: Mind that for 0 < p < 1, Minkowski metrics are not distance metrics. Continuing the execution with `algorithm='brute'`.
915s     warnings.warn(
915s 
915s neighbors/tests/test_neighbors_pipeline.py::test_spectral_clustering
915s neighbors/tests/test_neighbors_pipeline.py::test_spectral_embedding
915s   /usr/lib/python3/dist-packages/sklearn/manifold/_spectral_embedding.py:275: UserWarning: Array is not symmetric, and will be converted to symmetric by average with its transpose.
915s     adjacency = check_symmetric(adjacency)
915s 
915s neural_network/tests/test_mlp.py: 10 warnings
915s   /usr/lib/python3/dist-packages/sklearn/neural_network/_multilayer_perceptron.py:546: ConvergenceWarning: lbfgs failed to converge (status=1):
915s   STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.
915s   
915s   Increase the number of iterations (max_iter) or scale the data as shown in:
915s       https://scikit-learn.org/stable/modules/preprocessing.html
915s     self.n_iter_ = _check_optimize_result("lbfgs", opt_res, self.max_iter)
915s 
915s neural_network/tests/test_mlp.py::test_nonfinite_params
915s   /usr/lib/python3/dist-packages/sklearn/neural_network/_base.py:173: RuntimeWarning: overflow encountered in square
915s     return ((y_true - y_pred) ** 2).mean() / 2
915s 
915s neural_network/tests/test_mlp.py::test_nonfinite_params
915s   /usr/lib/python3/dist-packages/sklearn/utils/extmath.py:208: RuntimeWarning: overflow encountered in matmul
915s     ret = a @ b
915s 
915s neural_network/tests/test_mlp.py::test_nonfinite_params
915s   /usr/lib/python3/dist-packages/sklearn/neural_network/_stochastic_optimizers.py:276: RuntimeWarning: overflow encountered in square
915s     self.beta_2 * v + (1 - self.beta_2) * (grad**2)
915s 
915s neural_network/tests/test_mlp.py::test_nonfinite_params
915s   /usr/lib/python3/dist-packages/sklearn/neural_network/_stochastic_optimizers.py:285: RuntimeWarning: invalid value encountered in divide
915s     -self.learning_rate * m / (np.sqrt(v) + self.epsilon)
915s 
915s neural_network/tests/test_mlp.py::test_shuffle
915s neural_network/tests/test_mlp.py::test_shuffle
915s neural_network/tests/test_mlp.py::test_shuffle
915s neural_network/tests/test_mlp.py::test_shuffle
915s neural_network/tests/test_mlp.py::test_shuffle
915s neural_network/tests/test_mlp.py::test_shuffle
915s   /usr/lib/python3/dist-packages/sklearn/neural_network/_multilayer_perceptron.py:691: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (1) reached and the optimization hasn't converged yet.
915s     warnings.warn(
915s 
915s neural_network/tests/test_mlp.py::test_warm_start_full_iteration[MLPClassifier]
915s neural_network/tests/test_mlp.py::test_warm_start_full_iteration[MLPClassifier]
915s neural_network/tests/test_mlp.py::test_warm_start_full_iteration[MLPRegressor]
915s neural_network/tests/test_mlp.py::test_warm_start_full_iteration[MLPRegressor]
915s   /usr/lib/python3/dist-packages/sklearn/neural_network/_multilayer_perceptron.py:691: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (3) reached and the optimization hasn't converged yet.
915s     warnings.warn(
915s 
915s neural_network/tests/test_mlp.py::test_mlp_classifier_dtypes_casting
915s neural_network/tests/test_mlp.py::test_mlp_classifier_dtypes_casting
915s neural_network/tests/test_mlp.py::test_mlp_regressor_dtypes_casting
915s neural_network/tests/test_mlp.py::test_mlp_regressor_dtypes_casting
915s neural_network/tests/test_mlp.py::test_mlp_param_dtypes[MLPClassifier-float32]
915s neural_network/tests/test_mlp.py::test_mlp_param_dtypes[MLPClassifier-float64]
915s neural_network/tests/test_mlp.py::test_mlp_param_dtypes[MLPRegressor-float32]
915s neural_network/tests/test_mlp.py::test_mlp_param_dtypes[MLPRegressor-float64]
915s   /usr/lib/python3/dist-packages/sklearn/neural_network/_multilayer_perceptron.py:691: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.
915s     warnings.warn(
915s 
915s neural_network/tests/test_mlp.py::test_mlp_warm_start_with_early_stopping[MLPClassifier]
915s neural_network/tests/test_mlp.py::test_mlp_warm_start_with_early_stopping[MLPRegressor]
915s   /usr/lib/python3/dist-packages/sklearn/neural_network/_multilayer_perceptron.py:691: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (10) reached and the optimization hasn't converged yet.
915s     warnings.warn(
915s 
915s neural_network/tests/test_mlp.py::test_mlp_warm_start_with_early_stopping[MLPRegressor]
915s   /usr/lib/python3/dist-packages/sklearn/neural_network/_multilayer_perceptron.py:691: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (20) reached and the optimization hasn't converged yet.
915s     warnings.warn(
915s 
915s preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]
915s preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]
915s   /usr/lib/python3/dist-packages/sklearn/utils/extmath.py:1137: RuntimeWarning: invalid value encountered in divide
915s     updated_mean = (last_sum + new_sum) / updated_sample_count
915s 
915s preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]
915s preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]
915s   /usr/lib/python3/dist-packages/sklearn/utils/extmath.py:1142: RuntimeWarning: invalid value encountered in divide
915s     T = new_sum / new_sample_count
915s 
915s preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]
915s preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]
915s   /usr/lib/python3/dist-packages/sklearn/utils/extmath.py:1162: RuntimeWarning: invalid value encountered in divide
915s     new_unnormalized_variance -= correction**2 / new_sample_count
915s 
915s preprocessing/tests/test_data.py::test_quantile_transform_and_inverse
915s preprocessing/tests/test_data.py::test_one_to_one_features[QuantileTransformer]
915s   /usr/lib/python3/dist-packages/sklearn/preprocessing/_data.py:2762: UserWarning: n_quantiles (1000) is greater than the total number of samples (150). n_quantiles is set to n_samples.
915s     warnings.warn(
915s 
915s preprocessing/tests/test_data.py::test_quantile_transform_and_inverse
915s   /usr/lib/python3/dist-packages/sklearn/preprocessing/_data.py:2762: UserWarning: n_quantiles (1000) is greater than the total number of samples (7). n_quantiles is set to n_samples.
915s     warnings.warn(
915s 
915s preprocessing/tests/test_data.py::test_quantile_transform_nan
915s   /usr/lib/python3/dist-packages/sklearn/preprocessing/_data.py:2762: UserWarning: n_quantiles (10) is greater than the total number of samples (3). n_quantiles is set to n_samples.
915s     warnings.warn(
915s 
915s preprocessing/tests/test_data.py::test_quantile_transform_nan
915s   /usr/lib/python3/dist-packages/numpy/lib/nanfunctions.py:1556: RuntimeWarning: All-NaN slice encountered
915s     return function_base._ureduce(a,
915s 
915s preprocessing/tests/test_discretization.py::test_fit_transform[quantile-expected5-sample_weight5]
915s   /usr/lib/python3/dist-packages/sklearn/preprocessing/_discretization.py:322: UserWarning: Bins whose width are too small (i.e., <= 1e-8) in feature 0 are removed. Consider decreasing the number of bins.
915s     warnings.warn(
915s 
915s preprocessing/tests/test_discretization.py::test_fit_transform[quantile-expected5-sample_weight5]
915s preprocessing/tests/test_discretization.py::test_fit_transform_n_bins_array[quantile-expected4-sample_weight4]
915s   /usr/lib/python3/dist-packages/sklearn/preprocessing/_discretization.py:322: UserWarning: Bins whose width are too small (i.e., <= 1e-8) in feature 1 are removed. Consider decreasing the number of bins.
915s     warnings.warn(
915s 
915s preprocessing/tests/test_discretization.py::test_fit_transform[quantile-expected5-sample_weight5]
915s preprocessing/tests/test_discretization.py::test_fit_transform_n_bins_array[quantile-expected4-sample_weight4]
915s   /usr/lib/python3/dist-packages/sklearn/preprocessing/_discretization.py:322: UserWarning: Bins whose width are too small (i.e., <= 1e-8) in feature 2 are removed. Consider decreasing the number of bins.
915s     warnings.warn(
915s 
915s preprocessing/tests/test_discretization.py::test_fit_transform[quantile-expected5-sample_weight5]
915s preprocessing/tests/test_discretization.py::test_fit_transform_n_bins_array[quantile-expected4-sample_weight4]
915s   /usr/lib/python3/dist-packages/sklearn/preprocessing/_discretization.py:322: UserWarning: Bins whose width are too small (i.e., <= 1e-8) in feature 3 are removed. Consider decreasing the number of bins.
915s     warnings.warn(
915s 
915s svm/tests/test_svm.py::test_svc_nonfinite_params
915s   /usr/lib/python3/dist-packages/numpy/core/_methods.py:215: RuntimeWarning: overflow encountered in reduce
915s     arrmean = umr_sum(arr, axis, dtype, keepdims=True, where=where)
915s 
915s tests/test_calibration.py: 10 warnings
915s   /usr/lib/python3/dist-packages/sklearn/model_selection/_validation.py:1426: RuntimeWarning: Number of classes in training fold (9) 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
915s     warnings.warn(
915s 
915s tests/test_metaestimators.py::test_metaestimator_delegation
915s   /usr/lib/python3/dist-packages/sklearn/semi_supervised/_self_training.py:227: UserWarning: y contains no unlabeled samples
915s     warnings.warn("y contains no unlabeled samples", UserWarning)
915s 
915s tests/test_metaestimators_metadata_routing.py::test_setting_request_on_sub_estimator_removes_error[HalvingRandomSearchCV]
915s tests/test_metaestimators_metadata_routing.py::test_setting_request_on_sub_estimator_removes_error[HalvingRandomSearchCV]
915s tests/test_metaestimators_metadata_routing.py::test_non_consuming_estimator_works[HalvingRandomSearchCV]
915s tests/test_metaestimators_metadata_routing.py::test_metadata_is_routed_correctly_to_scorer[HalvingRandomSearchCV]
915s tests/test_metaestimators_metadata_routing.py::test_metadata_is_routed_correctly_to_scorer[HalvingRandomSearchCV]
915s tests/test_metaestimators_metadata_routing.py::test_metadata_is_routed_correctly_to_splitter[HalvingRandomSearchCV]
915s   /usr/lib/python3/dist-packages/sklearn/model_selection/_search.py:318: UserWarning: The total space of parameters 2 is smaller than n_iter=8. Running 2 iterations. For exhaustive searches, use GridSearchCV.
915s     warnings.warn(
915s 
915s tests/test_multiclass.py::test_constant_int_target[ones]
915s   /usr/lib/python3/dist-packages/sklearn/multiclass.py:90: UserWarning: Label not 1 is present in all training examples.
915s     warnings.warn(
915s 
915s tests/test_multiclass.py::test_constant_int_target[zeros]
915s   /usr/lib/python3/dist-packages/sklearn/multiclass.py:90: UserWarning: Label not 0 is present in all training examples.
915s     warnings.warn(
915s 
915s tests/test_multioutput.py::test_multi_output_delegate_predict_proba
915s tests/test_pipeline.py::test_features_names_passthrough
915s utils/tests/test_estimator_checks.py::test_check_estimator
915s utils/tests/test_estimator_html_repr.py::test_estimator_html_repr_fitted_icon[estimator0]
915s   /usr/lib/python3/dist-packages/sklearn/linear_model/_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):
915s   STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.
915s   
915s   Increase the number of iterations (max_iter) or scale the data as shown in:
915s       https://scikit-learn.org/stable/modules/preprocessing.html
915s   Please also refer to the documentation for alternative solver options:
915s       https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression
915s     n_iter_i = _check_optimize_result(
915s 
915s tests/test_multioutput.py::test_classifier_chain_vs_independent_models
915s tests/test_multioutput.py::test_classifier_chain_vs_independent_models
915s tests/test_multioutput.py::test_base_chain_crossval_fit_and_predict
915s   /usr/lib/python3/dist-packages/sklearn/metrics/_classification.py:1509: 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.
915s     _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
915s 
915s tests/test_naive_bayes.py::test_alpha_vector
915s tests/test_naive_bayes.py::test_alpha_vector
915s   /usr/lib/python3/dist-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.
915s     warnings.warn(
915s 
915s tree/tests/test_tree.py: 14 warnings
915s   /usr/lib/python3/dist-packages/sklearn/tree/_classes.py:1078: RuntimeWarning: divide by zero encountered in log
915s     proba[k] = np.log(proba[k])
915s 
915s tree/tests/test_tree.py::test_big_input
915s   /usr/lib/python3/dist-packages/sklearn/utils/_array_api.py:521: RuntimeWarning: overflow encountered in cast
915s     array = numpy.asarray(array, order=order, dtype=dtype)
915s 
915s tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None]
915s tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_matrix]
915s tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_array]
915s   /usr/lib/python3/dist-packages/sklearn/tree/tests/test_tree.py:1783: RuntimeWarning: overflow encountered in cast
915s     data = np.nan_to_num(data.astype("float32"))
915s 
915s utils/tests/test_estimator_checks.py: 14 warnings
915s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:659: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight.
915s     warnings.warn(str(exception), SkipTestWarning)
915s 
915s utils/tests/test_estimator_checks.py: 16 warnings
915s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:659: SkipTestWarning: pandas is not installed: not checking estimators for pandas objects.
915s     warnings.warn(str(exception), SkipTestWarning)
915s 
915s utils/tests/test_estimator_checks.py::test_check_estimator
915s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:659: SkipTestWarning: Skipping check_sample_weights_invariance for TaggedBinaryClassifier: zero sample_weight is not equivalent to removing samples
915s     warnings.warn(str(exception), SkipTestWarning)
915s 
915s utils/tests/test_estimator_checks.py::test_check_estimator_clones
915s utils/tests/test_estimator_checks.py::test_check_estimator_clones
916s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:659: SkipTestWarning: Skipping check_sample_weights_invariance for SGDClassifier: zero sample_weight is not equivalent to removing samples
916s     warnings.warn(str(exception), SkipTestWarning)
916s 
916s utils/tests/test_estimator_checks.py::test_check_estimator_clones
916s utils/tests/test_estimator_checks.py::test_check_estimator_clones
916s utils/tests/test_estimator_checks.py::test_check_estimator_clones
916s utils/tests/test_estimator_checks.py::test_check_estimator_clones
916s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:659: SkipTestWarning: array_api_compat is not installed: not checking array_api input
916s     warnings.warn(str(exception), SkipTestWarning)
916s 
916s utils/tests/test_estimator_checks.py::test_check_estimator_clones
916s utils/tests/test_estimator_checks.py::test_check_estimator_clones
916s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:659: SkipTestWarning: cupy is not installed: not checking array_api input
916s     warnings.warn(str(exception), SkipTestWarning)
916s 
916s utils/tests/test_estimator_checks.py::test_check_estimator_clones
916s utils/tests/test_estimator_checks.py::test_check_estimator_clones
916s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:659: SkipTestWarning: cupy.array_api is not installed: not checking array_api input
916s     warnings.warn(str(exception), SkipTestWarning)
916s 
916s utils/tests/test_estimator_checks.py::test_check_estimator_clones
916s utils/tests/test_estimator_checks.py::test_check_estimator_clones
916s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:659: SkipTestWarning: torch is not installed: not checking array_api input
916s     warnings.warn(str(exception), SkipTestWarning)
916s 
916s utils/tests/test_estimator_checks.py::test_check_estimator_clones
916s utils/tests/test_estimator_checks.py::test_check_estimator_clones
916s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:659: SkipTestWarning: ExtraTreesClassifier does not have a decision_function method.
916s     warnings.warn(str(exception), SkipTestWarning)
916s 
916s utils/tests/test_estimator_checks.py::test_check_estimator_clones
916s utils/tests/test_estimator_checks.py::test_check_estimator_clones
916s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:659: SkipTestWarning: Skipping check_sample_weights_invariance for MiniBatchKMeans: zero sample_weight is not equivalent to removing samples
916s     warnings.warn(str(exception), SkipTestWarning)
916s 
916s ../../../usr/lib/python3/dist-packages/_pytest/cacheprovider.py:451
916s   /usr/lib/python3/dist-packages/_pytest/cacheprovider.py:451: PytestCacheWarning: could not create cache path /usr/lib/python3/dist-packages/sklearn/.pytest_cache/v/cache/nodeids: [Errno 13] Permission denied: '/usr/lib/python3/dist-packages/sklearn/.pytest_cache'
916s     config.cache.set("cache/nodeids", sorted(self.cached_nodeids))
916s 
916s ../../../usr/lib/python3/dist-packages/_pytest/stepwise.py:56
916s   /usr/lib/python3/dist-packages/_pytest/stepwise.py:56: PytestCacheWarning: could not create cache path /usr/lib/python3/dist-packages/sklearn/.pytest_cache/v/cache/stepwise: [Errno 13] Permission denied: '/usr/lib/python3/dist-packages/sklearn/.pytest_cache'
916s     session.config.cache.set(STEPWISE_CACHE_DIR, [])
916s 
916s -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
916s = 18643 passed, 2379 skipped, 11732 deselected, 33 xfailed, 2155 warnings in 702.92s (0:11:42) =
917s autopkgtest [09:50:19]: test python3: -----------------------]
918s python3              PASS
918s autopkgtest [09:50:20]: test python3:  - - - - - - - - - - results - - - - - - - - - -
918s autopkgtest [09:50:20]: @@@@@@@@@@@@@@@@@@@@ summary
918s python3              PASS
938s Creating nova instance adt-noble-ppc64el-scikit-learn-20240323-093502-juju-7f2275-prod-proposed-migration-environment-2 from image adt/ubuntu-noble-ppc64el-server-20240322.img (UUID 8499323f-6fcd-4f77-8a53-77410adea6d3)...