0s autopkgtest [01:50:02]: starting date and time: 2024-06-08 01:50:02+0000
  0s autopkgtest [01:50:02]: git checkout: 433ed4cb Merge branch 'skia/nova_flock' into 'ubuntu/5.34+prod'
  0s autopkgtest [01:50:02]: host juju-7f2275-prod-proposed-migration-environment-2; command line: /home/ubuntu/autopkgtest/runner/autopkgtest --output-dir /tmp/autopkgtest-work.m5td_daq/out --timeout-copy=6000 --setup-commands /home/ubuntu/autopkgtest-cloud/worker-config-production/setup-canonical.sh --apt-pocket=proposed=src:pytest,src:astropy --apt-upgrade scikit-learn --timeout-short=300 --timeout-copy=20000 --timeout-build=20000 '--env=ADT_TEST_TRIGGERS=pytest/8.2.2-1ubuntu1 astropy/6.0.1-4' -- ssh -s /home/ubuntu/autopkgtest/ssh-setup/nova -- --flavor autopkgtest --security-groups autopkgtest-juju-7f2275-prod-proposed-migration-environment-2@bos02-ppc64el-19.secgroup --name adt-oracular-ppc64el-scikit-learn-20240608-015002-juju-7f2275-prod-proposed-migration-environment-2-fc0db939-d133-42c3-96b2-c6f494bddfec --image adt/ubuntu-oracular-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,keyserver.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/
117s autopkgtest [01:51:59]: testbed dpkg architecture: ppc64el
117s autopkgtest [01:51:59]: testbed apt version: 2.9.3
117s autopkgtest [01:51:59]: @@@@@@@@@@@@@@@@@@@@ test bed setup
118s Get:1 http://ftpmaster.internal/ubuntu oracular-proposed InRelease [110 kB]
118s Get:2 http://ftpmaster.internal/ubuntu oracular-proposed/multiverse Sources [2864 B]
118s Get:3 http://ftpmaster.internal/ubuntu oracular-proposed/universe Sources [336 kB]
118s Get:4 http://ftpmaster.internal/ubuntu oracular-proposed/restricted Sources [7972 B]
118s Get:5 http://ftpmaster.internal/ubuntu oracular-proposed/main Sources [44.3 kB]
118s Get:6 http://ftpmaster.internal/ubuntu oracular-proposed/main ppc64el Packages [54.3 kB]
118s Get:7 http://ftpmaster.internal/ubuntu oracular-proposed/restricted ppc64el Packages [1860 B]
118s Get:8 http://ftpmaster.internal/ubuntu oracular-proposed/universe ppc64el Packages [300 kB]
118s Get:9 http://ftpmaster.internal/ubuntu oracular-proposed/multiverse ppc64el Packages [1768 B]
118s Fetched 858 kB in 1s (1041 kB/s)
118s Reading package lists...
121s Reading package lists...
121s Building dependency tree...
121s Reading state information...
121s Calculating upgrade...
121s The following packages will be upgraded:
121s   debianutils libheif-plugin-aomdec libheif-plugin-aomenc
121s   libheif-plugin-libde265 libheif1 libnetplan1 netplan-generator netplan.io
121s   python3-netplan
121s 9 upgraded, 0 newly installed, 0 to remove and 0 not upgraded.
121s Need to get 731 kB of archives.
121s After this operation, 5120 B of additional disk space will be used.
121s Get:1 http://ftpmaster.internal/ubuntu oracular/main ppc64el debianutils ppc64el 5.18 [90.5 kB]
122s Get:2 http://ftpmaster.internal/ubuntu oracular/main ppc64el netplan-generator ppc64el 1.0-3ubuntu1 [59.3 kB]
122s Get:3 http://ftpmaster.internal/ubuntu oracular/main ppc64el python3-netplan ppc64el 1.0-3ubuntu1 [21.8 kB]
122s Get:4 http://ftpmaster.internal/ubuntu oracular/main ppc64el netplan.io ppc64el 1.0-3ubuntu1 [66.6 kB]
122s Get:5 http://ftpmaster.internal/ubuntu oracular/main ppc64el libnetplan1 ppc64el 1.0-3ubuntu1 [138 kB]
122s Get:6 http://ftpmaster.internal/ubuntu oracular/main ppc64el libheif-plugin-aomdec ppc64el 1.17.6-3 [10.2 kB]
122s Get:7 http://ftpmaster.internal/ubuntu oracular/main ppc64el libheif-plugin-aomenc ppc64el 1.17.6-3 [16.6 kB]
122s Get:8 http://ftpmaster.internal/ubuntu oracular/main ppc64el libheif1 ppc64el 1.17.6-3 [320 kB]
122s Get:9 http://ftpmaster.internal/ubuntu oracular/main ppc64el libheif-plugin-libde265 ppc64el 1.17.6-3 [8484 B]
122s Fetched 731 kB in 0s (1488 kB/s)
122s (Reading database ... 
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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 ... 72602 files and directories currently installed.)
122s Preparing to unpack .../debianutils_5.18_ppc64el.deb ...
122s Unpacking debianutils (5.18) over (5.17build1) ...
122s Setting up debianutils (5.18) ...
122s (Reading database ... 
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(Reading database ... 45%
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(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 ... 72602 files and directories currently installed.)
122s Preparing to unpack .../0-netplan-generator_1.0-3ubuntu1_ppc64el.deb ...
122s Adding 'diversion of /lib/systemd/system-generators/netplan to /lib/systemd/system-generators/netplan.usr-is-merged by netplan-generator'
122s Unpacking netplan-generator (1.0-3ubuntu1) over (1.0-2ubuntu1) ...
122s Preparing to unpack .../1-python3-netplan_1.0-3ubuntu1_ppc64el.deb ...
122s Unpacking python3-netplan (1.0-3ubuntu1) over (1.0-2ubuntu1) ...
122s Preparing to unpack .../2-netplan.io_1.0-3ubuntu1_ppc64el.deb ...
122s Unpacking netplan.io (1.0-3ubuntu1) over (1.0-2ubuntu1) ...
122s Preparing to unpack .../3-libnetplan1_1.0-3ubuntu1_ppc64el.deb ...
122s Unpacking libnetplan1:ppc64el (1.0-3ubuntu1) over (1.0-2ubuntu1) ...
123s Preparing to unpack .../4-libheif-plugin-aomdec_1.17.6-3_ppc64el.deb ...
123s Unpacking libheif-plugin-aomdec:ppc64el (1.17.6-3) over (1.17.6-1ubuntu4) ...
123s Preparing to unpack .../5-libheif-plugin-aomenc_1.17.6-3_ppc64el.deb ...
123s Unpacking libheif-plugin-aomenc:ppc64el (1.17.6-3) over (1.17.6-1ubuntu4) ...
123s Preparing to unpack .../6-libheif1_1.17.6-3_ppc64el.deb ...
123s Unpacking libheif1:ppc64el (1.17.6-3) over (1.17.6-1ubuntu4) ...
123s Preparing to unpack .../7-libheif-plugin-libde265_1.17.6-3_ppc64el.deb ...
123s Unpacking libheif-plugin-libde265:ppc64el (1.17.6-3) over (1.17.6-1ubuntu4) ...
123s Setting up libnetplan1:ppc64el (1.0-3ubuntu1) ...
123s Setting up python3-netplan (1.0-3ubuntu1) ...
123s Setting up netplan-generator (1.0-3ubuntu1) ...
123s Removing 'diversion of /lib/systemd/system-generators/netplan to /lib/systemd/system-generators/netplan.usr-is-merged by netplan-generator'
123s Setting up netplan.io (1.0-3ubuntu1) ...
123s Setting up libheif-plugin-aomdec:ppc64el (1.17.6-3) ...
123s Setting up libheif-plugin-libde265:ppc64el (1.17.6-3) ...
123s Setting up libheif1:ppc64el (1.17.6-3) ...
123s Setting up libheif-plugin-aomenc:ppc64el (1.17.6-3) ...
123s Processing triggers for libc-bin (2.39-0ubuntu8.1) ...
123s Processing triggers for man-db (2.12.1-1) ...
124s Processing triggers for dbus (1.14.10-4ubuntu4) ...
124s Reading package lists...
124s Building dependency tree...
124s Reading state information...
125s 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded.
125s Hit:1 http://ftpmaster.internal/ubuntu oracular-proposed InRelease
125s Hit:2 http://ftpmaster.internal/ubuntu oracular InRelease
125s Hit:3 http://ftpmaster.internal/ubuntu oracular-updates InRelease
125s Hit:4 http://ftpmaster.internal/ubuntu oracular-security InRelease
126s Reading package lists...
126s Reading package lists...
126s Building dependency tree...
126s Reading state information...
127s Calculating upgrade...
127s 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded.
127s Reading package lists...
127s Building dependency tree...
127s Reading state information...
127s 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded.
130s autopkgtest [01:52:12]: testbed running kernel: Linux 6.8.0-31-generic #31-Ubuntu SMP Sat Apr 20 00:05:55 UTC 2024
130s autopkgtest [01:52:12]: @@@@@@@@@@@@@@@@@@@@ apt-source scikit-learn
133s Get:1 http://ftpmaster.internal/ubuntu oracular/universe scikit-learn 1.4.2+dfsg-1 (dsc) [3035 B]
133s Get:2 http://ftpmaster.internal/ubuntu oracular/universe scikit-learn 1.4.2+dfsg-1 (tar) [6409 kB]
133s Get:3 http://ftpmaster.internal/ubuntu oracular/universe scikit-learn 1.4.2+dfsg-1 (diff) [23.5 kB]
133s gpgv: Signature made Mon Apr 15 09:49:37 2024 UTC
133s gpgv:                using RSA key 724D609337113C710550D7473C26763F6C67E6E2
133s gpgv: Can't check signature: No public key
133s dpkg-source: warning: cannot verify inline signature for ./scikit-learn_1.4.2+dfsg-1.dsc: no acceptable signature found
134s autopkgtest [01:52:16]: testing package scikit-learn version 1.4.2+dfsg-1
134s autopkgtest [01:52:16]: build not needed
172s autopkgtest [01:52:54]: test python3: preparing testbed
173s Reading package lists...
174s Building dependency tree...
174s Reading state information...
174s Starting pkgProblemResolver with broken count: 0
174s Starting 2 pkgProblemResolver with broken count: 0
174s Done
174s The following additional packages will be installed:
174s   blt fonts-lyx libblas3 libgfortran5 libgomp1 libgraphite2-3 libharfbuzz0b
174s   libimagequant0 libjs-jquery libjs-jquery-ui liblapack3 liblbfgsb0 liblcms2-2
174s   libopenjp2-7 libqhull-r8.0 libraqm0 libtcl8.6 libtk8.6 libwebpdemux2
174s   libwebpmux3 libxft2 libxrender1 libxslt1.1 libxss1 python-matplotlib-data
174s   python3-all python3-appdirs python3-brotli python3-contourpy python3-cycler
174s   python3-dateutil python3-decorator python3-fonttools python3-fs
174s   python3-iniconfig python3-joblib python3-kiwisolver python3-lxml python3-lz4
174s   python3-matplotlib python3-mpmath python3-numpy python3-packaging
174s   python3-pil python3-pil.imagetk python3-pluggy python3-pytest python3-scipy
174s   python3-sklearn python3-sklearn-lib python3-sympy python3-threadpoolctl
174s   python3-tk python3-tz python3-ufolib2 tk8.6-blt2.5 unicode-data x11-common
174s Suggested packages:
174s   blt-demo libjs-jquery-ui-docs liblcms2-utils tcl8.6 tk8.6 python-cycler-doc
174s   python-lxml-doc cm-super-minimal dvipng ffmpeg fonts-staypuft ghostscript
174s   gir1.2-gtk-3.0 inkscape ipython3 librsvg2-common python3-cairocffi
174s   python3-gi-cairo python3-gobject python3-pyqt5 python3-sip python3-tornado
174s   texlive-extra-utils texlive-latex-extra python-mpmath-doc python3-gmpy2 gcc
174s   gfortran python-numpy-doc python3-dev python-pil-doc python-scipy-doc
174s   python3-dap python-sklearn-doc texlive-fonts-extra python-sympy-doc tix
174s   python3-tk-dbg
174s Recommended packages:
174s   javascript-common python3-simplejson python3-psutil python3-bs4
174s   python3-cssselect python3-html5lib python3-olefile g++ | c++-compiler
174s   isympy-common
174s The following NEW packages will be installed:
174s   autopkgtest-satdep blt fonts-lyx libblas3 libgfortran5 libgomp1
174s   libgraphite2-3 libharfbuzz0b libimagequant0 libjs-jquery libjs-jquery-ui
174s   liblapack3 liblbfgsb0 liblcms2-2 libopenjp2-7 libqhull-r8.0 libraqm0
174s   libtcl8.6 libtk8.6 libwebpdemux2 libwebpmux3 libxft2 libxrender1 libxslt1.1
174s   libxss1 python-matplotlib-data python3-all python3-appdirs python3-brotli
174s   python3-contourpy python3-cycler python3-dateutil python3-decorator
174s   python3-fonttools python3-fs python3-iniconfig python3-joblib
174s   python3-kiwisolver python3-lxml python3-lz4 python3-matplotlib
174s   python3-mpmath python3-numpy python3-packaging python3-pil
174s   python3-pil.imagetk python3-pluggy python3-pytest python3-scipy
174s   python3-sklearn python3-sklearn-lib python3-sympy python3-threadpoolctl
174s   python3-tk python3-tz python3-ufolib2 tk8.6-blt2.5 unicode-data x11-common
174s 0 upgraded, 59 newly installed, 0 to remove and 0 not upgraded.
174s Need to get 63.8 MB/63.8 MB of archives.
174s After this operation, 290 MB of additional disk space will be used.
174s Get:1 /tmp/autopkgtest.9qJTNW/1-autopkgtest-satdep.deb autopkgtest-satdep ppc64el 0 [768 B]
174s Get:2 http://ftpmaster.internal/ubuntu oracular/main ppc64el libtcl8.6 ppc64el 8.6.14+dfsg-1build1 [1204 kB]
175s Get:3 http://ftpmaster.internal/ubuntu oracular/main ppc64el libxrender1 ppc64el 1:0.9.10-1.1build1 [23.1 kB]
175s Get:4 http://ftpmaster.internal/ubuntu oracular/main ppc64el libxft2 ppc64el 2.3.6-1build1 [61.5 kB]
175s Get:5 http://ftpmaster.internal/ubuntu oracular/main ppc64el x11-common all 1:7.7+23ubuntu3 [21.7 kB]
175s Get:6 http://ftpmaster.internal/ubuntu oracular/main ppc64el libxss1 ppc64el 1:1.2.3-1build3 [7980 B]
175s Get:7 http://ftpmaster.internal/ubuntu oracular/main ppc64el libtk8.6 ppc64el 8.6.14-1build1 [944 kB]
175s Get:8 http://ftpmaster.internal/ubuntu oracular/main ppc64el tk8.6-blt2.5 ppc64el 2.5.3+dfsg-7build1 [784 kB]
175s Get:9 http://ftpmaster.internal/ubuntu oracular/main ppc64el blt ppc64el 2.5.3+dfsg-7build1 [4840 B]
175s Get:10 http://ftpmaster.internal/ubuntu oracular/universe ppc64el fonts-lyx all 2.4.0-1 [171 kB]
175s Get:11 http://ftpmaster.internal/ubuntu oracular/main ppc64el libblas3 ppc64el 3.12.0-3build1 [227 kB]
175s Get:12 http://ftpmaster.internal/ubuntu oracular/main ppc64el libgfortran5 ppc64el 14.1.0-1ubuntu1 [573 kB]
176s Get:13 http://ftpmaster.internal/ubuntu oracular/main ppc64el libgomp1 ppc64el 14.1.0-1ubuntu1 [161 kB]
176s Get:14 http://ftpmaster.internal/ubuntu oracular/main ppc64el libgraphite2-3 ppc64el 1.3.14-2build1 [84.6 kB]
176s Get:15 http://ftpmaster.internal/ubuntu oracular/main ppc64el libharfbuzz0b ppc64el 8.3.0-2build2 [580 kB]
176s Get:16 http://ftpmaster.internal/ubuntu oracular/main ppc64el libimagequant0 ppc64el 2.18.0-1build1 [43.2 kB]
176s Get:17 http://ftpmaster.internal/ubuntu oracular/main ppc64el libjs-jquery all 3.6.1+dfsg+~3.5.14-1 [328 kB]
176s Get:18 http://ftpmaster.internal/ubuntu oracular/universe ppc64el libjs-jquery-ui all 1.13.2+dfsg-1 [252 kB]
176s Get:19 http://ftpmaster.internal/ubuntu oracular/main ppc64el liblapack3 ppc64el 3.12.0-3build1 [2804 kB]
176s Get:20 http://ftpmaster.internal/ubuntu oracular/universe ppc64el liblbfgsb0 ppc64el 3.0+dfsg.4-1build1 [33.0 kB]
176s Get:21 http://ftpmaster.internal/ubuntu oracular/main ppc64el liblcms2-2 ppc64el 2.14-2build1 [233 kB]
176s Get:22 http://ftpmaster.internal/ubuntu oracular/universe ppc64el libqhull-r8.0 ppc64el 2020.2-6build1 [225 kB]
176s Get:23 http://ftpmaster.internal/ubuntu oracular/main ppc64el libraqm0 ppc64el 0.10.1-1build1 [19.4 kB]
176s Get:24 http://ftpmaster.internal/ubuntu oracular/main ppc64el libwebpdemux2 ppc64el 1.4.0-0.1 [14.1 kB]
176s Get:25 http://ftpmaster.internal/ubuntu oracular/main ppc64el libwebpmux3 ppc64el 1.4.0-0.1 [31.4 kB]
176s Get:26 http://ftpmaster.internal/ubuntu oracular/main ppc64el libxslt1.1 ppc64el 1.1.39-0exp1build1 [192 kB]
176s Get:27 http://ftpmaster.internal/ubuntu oracular/universe ppc64el python-matplotlib-data all 3.6.3-2ubuntu1 [2937 kB]
177s Get:28 http://ftpmaster.internal/ubuntu oracular/main ppc64el python3-all ppc64el 3.12.3-0ubuntu1 [888 B]
177s Get:29 http://ftpmaster.internal/ubuntu oracular/main ppc64el python3-appdirs all 1.4.4-4 [10.9 kB]
177s Get:30 http://ftpmaster.internal/ubuntu oracular/universe ppc64el python3-brotli ppc64el 1.1.0-2build2 [413 kB]
177s Get:31 http://ftpmaster.internal/ubuntu oracular/main ppc64el python3-numpy ppc64el 1:1.26.4+ds-10 [4408 kB]
177s Get:32 http://ftpmaster.internal/ubuntu oracular/universe ppc64el python3-contourpy ppc64el 1.0.7-3 [200 kB]
177s Get:33 http://ftpmaster.internal/ubuntu oracular/universe ppc64el python3-cycler all 0.12.1-1 [9716 B]
177s Get:34 http://ftpmaster.internal/ubuntu oracular/main ppc64el python3-dateutil all 2.9.0-2 [80.3 kB]
177s Get:35 http://ftpmaster.internal/ubuntu oracular/main ppc64el python3-decorator all 5.1.1-5 [10.1 kB]
177s Get:36 http://ftpmaster.internal/ubuntu oracular/universe ppc64el python3-scipy ppc64el 1.11.4-10 [16.9 MB]
178s Get:37 http://ftpmaster.internal/ubuntu oracular/universe ppc64el python3-ufolib2 all 0.16.0+dfsg1-1 [33.5 kB]
178s Get:38 http://ftpmaster.internal/ubuntu oracular/universe ppc64el python3-mpmath all 1.3.0-1 [425 kB]
178s Get:39 http://ftpmaster.internal/ubuntu oracular/universe ppc64el python3-sympy all 1.12-8 [3966 kB]
178s Get:40 http://ftpmaster.internal/ubuntu oracular/main ppc64el python3-tz all 2024.1-2 [31.4 kB]
178s Get:41 http://ftpmaster.internal/ubuntu oracular/universe ppc64el python3-fs all 2.4.16-4 [91.3 kB]
178s Get:42 http://ftpmaster.internal/ubuntu oracular/main ppc64el python3-lxml ppc64el 5.2.1-1 [1250 kB]
178s Get:43 http://ftpmaster.internal/ubuntu oracular/universe ppc64el python3-lz4 ppc64el 4.0.2+dfsg-1build4 [27.8 kB]
178s Get:44 http://ftpmaster.internal/ubuntu oracular/universe ppc64el unicode-data all 15.1.0-1 [8878 kB]
178s Get:45 http://ftpmaster.internal/ubuntu oracular/universe ppc64el python3-fonttools ppc64el 4.46.0-1build2 [1473 kB]
178s Get:46 http://ftpmaster.internal/ubuntu oracular/universe ppc64el python3-iniconfig all 1.1.1-2 [6024 B]
178s Get:47 http://ftpmaster.internal/ubuntu oracular/universe ppc64el python3-joblib all 1.3.2-2 [208 kB]
178s Get:48 http://ftpmaster.internal/ubuntu oracular/universe ppc64el python3-kiwisolver ppc64el 1.4.5-1 [55.5 kB]
178s Get:49 http://ftpmaster.internal/ubuntu oracular/main ppc64el libopenjp2-7 ppc64el 2.5.0-2build3 [239 kB]
178s Get:50 http://ftpmaster.internal/ubuntu oracular/main ppc64el python3-pil ppc64el 10.3.0-2 [491 kB]
178s Get:51 http://ftpmaster.internal/ubuntu oracular/main ppc64el python3-tk ppc64el 3.12.3-0ubuntu1 [105 kB]
178s Get:52 http://ftpmaster.internal/ubuntu oracular/universe ppc64el python3-pil.imagetk ppc64el 10.3.0-2 [9572 B]
178s Get:53 http://ftpmaster.internal/ubuntu oracular/main ppc64el python3-packaging all 24.0-1 [41.1 kB]
178s Get:54 http://ftpmaster.internal/ubuntu oracular/universe ppc64el python3-matplotlib ppc64el 3.6.3-2ubuntu1 [6175 kB]
179s Get:55 http://ftpmaster.internal/ubuntu oracular/universe ppc64el python3-pluggy all 1.5.0-1 [21.0 kB]
179s Get:56 http://ftpmaster.internal/ubuntu oracular-proposed/universe ppc64el python3-pytest all 8.2.2-1ubuntu1 [250 kB]
179s Get:57 http://ftpmaster.internal/ubuntu oracular/universe ppc64el python3-threadpoolctl all 3.1.0-1 [21.3 kB]
179s Get:58 http://ftpmaster.internal/ubuntu oracular/universe ppc64el python3-sklearn-lib ppc64el 1.4.2+dfsg-1 [3761 kB]
179s Get:59 http://ftpmaster.internal/ubuntu oracular/universe ppc64el python3-sklearn all 1.4.2+dfsg-1 [2261 kB]
179s Fetched 63.8 MB in 5s (13.7 MB/s)
179s Selecting previously unselected package libtcl8.6:ppc64el.
179s (Reading database ... 
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(Reading database ... 60%
(Reading database ... 65%
(Reading database ... 70%
(Reading database ... 75%
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(Reading database ... 85%
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(Reading database ... 95%
(Reading database ... 100%
(Reading database ... 72602 files and directories currently installed.)
179s Preparing to unpack .../00-libtcl8.6_8.6.14+dfsg-1build1_ppc64el.deb ...
179s Unpacking libtcl8.6:ppc64el (8.6.14+dfsg-1build1) ...
179s Selecting previously unselected package libxrender1:ppc64el.
179s Preparing to unpack .../01-libxrender1_1%3a0.9.10-1.1build1_ppc64el.deb ...
179s Unpacking libxrender1:ppc64el (1:0.9.10-1.1build1) ...
179s Selecting previously unselected package libxft2:ppc64el.
179s Preparing to unpack .../02-libxft2_2.3.6-1build1_ppc64el.deb ...
179s Unpacking libxft2:ppc64el (2.3.6-1build1) ...
179s Selecting previously unselected package x11-common.
179s Preparing to unpack .../03-x11-common_1%3a7.7+23ubuntu3_all.deb ...
179s Unpacking x11-common (1:7.7+23ubuntu3) ...
179s Selecting previously unselected package libxss1:ppc64el.
179s Preparing to unpack .../04-libxss1_1%3a1.2.3-1build3_ppc64el.deb ...
179s Unpacking libxss1:ppc64el (1:1.2.3-1build3) ...
179s Selecting previously unselected package libtk8.6:ppc64el.
179s Preparing to unpack .../05-libtk8.6_8.6.14-1build1_ppc64el.deb ...
179s Unpacking libtk8.6:ppc64el (8.6.14-1build1) ...
179s Selecting previously unselected package tk8.6-blt2.5.
179s Preparing to unpack .../06-tk8.6-blt2.5_2.5.3+dfsg-7build1_ppc64el.deb ...
179s Unpacking tk8.6-blt2.5 (2.5.3+dfsg-7build1) ...
179s Selecting previously unselected package blt.
179s Preparing to unpack .../07-blt_2.5.3+dfsg-7build1_ppc64el.deb ...
179s Unpacking blt (2.5.3+dfsg-7build1) ...
179s Selecting previously unselected package fonts-lyx.
179s Preparing to unpack .../08-fonts-lyx_2.4.0-1_all.deb ...
179s Unpacking fonts-lyx (2.4.0-1) ...
179s Selecting previously unselected package libblas3:ppc64el.
179s Preparing to unpack .../09-libblas3_3.12.0-3build1_ppc64el.deb ...
179s Unpacking libblas3:ppc64el (3.12.0-3build1) ...
179s Selecting previously unselected package libgfortran5:ppc64el.
179s Preparing to unpack .../10-libgfortran5_14.1.0-1ubuntu1_ppc64el.deb ...
179s Unpacking libgfortran5:ppc64el (14.1.0-1ubuntu1) ...
179s Selecting previously unselected package libgomp1:ppc64el.
179s Preparing to unpack .../11-libgomp1_14.1.0-1ubuntu1_ppc64el.deb ...
179s Unpacking libgomp1:ppc64el (14.1.0-1ubuntu1) ...
179s Selecting previously unselected package libgraphite2-3:ppc64el.
179s Preparing to unpack .../12-libgraphite2-3_1.3.14-2build1_ppc64el.deb ...
179s Unpacking libgraphite2-3:ppc64el (1.3.14-2build1) ...
179s Selecting previously unselected package libharfbuzz0b:ppc64el.
179s Preparing to unpack .../13-libharfbuzz0b_8.3.0-2build2_ppc64el.deb ...
179s Unpacking libharfbuzz0b:ppc64el (8.3.0-2build2) ...
179s Selecting previously unselected package libimagequant0:ppc64el.
179s Preparing to unpack .../14-libimagequant0_2.18.0-1build1_ppc64el.deb ...
179s Unpacking libimagequant0:ppc64el (2.18.0-1build1) ...
180s Selecting previously unselected package libjs-jquery.
180s Preparing to unpack .../15-libjs-jquery_3.6.1+dfsg+~3.5.14-1_all.deb ...
180s Unpacking libjs-jquery (3.6.1+dfsg+~3.5.14-1) ...
180s Selecting previously unselected package libjs-jquery-ui.
180s Preparing to unpack .../16-libjs-jquery-ui_1.13.2+dfsg-1_all.deb ...
180s Unpacking libjs-jquery-ui (1.13.2+dfsg-1) ...
180s Selecting previously unselected package liblapack3:ppc64el.
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180s Unpacking liblapack3:ppc64el (3.12.0-3build1) ...
180s Selecting previously unselected package liblbfgsb0:ppc64el.
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180s Selecting previously unselected package liblcms2-2:ppc64el.
180s Preparing to unpack .../19-liblcms2-2_2.14-2build1_ppc64el.deb ...
180s Unpacking liblcms2-2:ppc64el (2.14-2build1) ...
180s Selecting previously unselected package libqhull-r8.0:ppc64el.
180s Preparing to unpack .../20-libqhull-r8.0_2020.2-6build1_ppc64el.deb ...
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180s Selecting previously unselected package libraqm0:ppc64el.
180s Preparing to unpack .../21-libraqm0_0.10.1-1build1_ppc64el.deb ...
180s Unpacking libraqm0:ppc64el (0.10.1-1build1) ...
180s Selecting previously unselected package libwebpdemux2:ppc64el.
180s Preparing to unpack .../22-libwebpdemux2_1.4.0-0.1_ppc64el.deb ...
180s Unpacking libwebpdemux2:ppc64el (1.4.0-0.1) ...
180s Selecting previously unselected package libwebpmux3:ppc64el.
180s Preparing to unpack .../23-libwebpmux3_1.4.0-0.1_ppc64el.deb ...
180s Unpacking libwebpmux3:ppc64el (1.4.0-0.1) ...
180s Selecting previously unselected package libxslt1.1:ppc64el.
180s Preparing to unpack .../24-libxslt1.1_1.1.39-0exp1build1_ppc64el.deb ...
180s Unpacking libxslt1.1:ppc64el (1.1.39-0exp1build1) ...
180s Selecting previously unselected package python-matplotlib-data.
180s Preparing to unpack .../25-python-matplotlib-data_3.6.3-2ubuntu1_all.deb ...
180s Unpacking python-matplotlib-data (3.6.3-2ubuntu1) ...
180s Selecting previously unselected package python3-all.
180s Preparing to unpack .../26-python3-all_3.12.3-0ubuntu1_ppc64el.deb ...
180s Unpacking python3-all (3.12.3-0ubuntu1) ...
180s Selecting previously unselected package python3-appdirs.
180s Preparing to unpack .../27-python3-appdirs_1.4.4-4_all.deb ...
180s Unpacking python3-appdirs (1.4.4-4) ...
180s Selecting previously unselected package python3-brotli.
180s Preparing to unpack .../28-python3-brotli_1.1.0-2build2_ppc64el.deb ...
180s Unpacking python3-brotli (1.1.0-2build2) ...
180s Selecting previously unselected package python3-numpy.
180s Preparing to unpack .../29-python3-numpy_1%3a1.26.4+ds-10_ppc64el.deb ...
180s Unpacking python3-numpy (1:1.26.4+ds-10) ...
180s Selecting previously unselected package python3-contourpy.
180s Preparing to unpack .../30-python3-contourpy_1.0.7-3_ppc64el.deb ...
180s Unpacking python3-contourpy (1.0.7-3) ...
180s Selecting previously unselected package python3-cycler.
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180s Unpacking python3-cycler (0.12.1-1) ...
180s Selecting previously unselected package python3-dateutil.
180s Preparing to unpack .../32-python3-dateutil_2.9.0-2_all.deb ...
180s Unpacking python3-dateutil (2.9.0-2) ...
180s Selecting previously unselected package python3-decorator.
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180s Unpacking python3-decorator (5.1.1-5) ...
180s Selecting previously unselected package python3-scipy.
180s Preparing to unpack .../34-python3-scipy_1.11.4-10_ppc64el.deb ...
180s Unpacking python3-scipy (1.11.4-10) ...
181s Selecting previously unselected package python3-ufolib2.
181s Preparing to unpack .../35-python3-ufolib2_0.16.0+dfsg1-1_all.deb ...
181s Unpacking python3-ufolib2 (0.16.0+dfsg1-1) ...
181s Selecting previously unselected package python3-mpmath.
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181s Unpacking python3-mpmath (1.3.0-1) ...
181s Selecting previously unselected package python3-sympy.
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181s Unpacking python3-sympy (1.12-8) ...
182s Selecting previously unselected package python3-tz.
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182s Unpacking python3-tz (2024.1-2) ...
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182s Unpacking python3-fs (2.4.16-4) ...
182s Selecting previously unselected package python3-lxml:ppc64el.
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182s Unpacking python3-lxml:ppc64el (5.2.1-1) ...
182s Selecting previously unselected package python3-lz4.
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182s Unpacking python3-lz4 (4.0.2+dfsg-1build4) ...
182s Selecting previously unselected package unicode-data.
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182s Unpacking unicode-data (15.1.0-1) ...
182s Selecting previously unselected package python3-fonttools.
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182s Unpacking python3-fonttools (4.46.0-1build2) ...
182s Selecting previously unselected package python3-iniconfig.
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182s Unpacking python3-iniconfig (1.1.1-2) ...
182s Selecting previously unselected package python3-joblib.
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182s Unpacking python3-joblib (1.3.2-2) ...
182s Selecting previously unselected package python3-kiwisolver.
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182s Unpacking python3-kiwisolver (1.4.5-1) ...
182s Selecting previously unselected package libopenjp2-7:ppc64el.
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182s Unpacking libopenjp2-7:ppc64el (2.5.0-2build3) ...
182s Selecting previously unselected package python3-pil:ppc64el.
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182s Unpacking python3-pil:ppc64el (10.3.0-2) ...
182s Selecting previously unselected package python3-tk:ppc64el.
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182s Unpacking python3-tk:ppc64el (3.12.3-0ubuntu1) ...
182s Selecting previously unselected package python3-pil.imagetk:ppc64el.
182s Preparing to unpack .../50-python3-pil.imagetk_10.3.0-2_ppc64el.deb ...
182s Unpacking python3-pil.imagetk:ppc64el (10.3.0-2) ...
182s Selecting previously unselected package python3-packaging.
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182s Unpacking python3-packaging (24.0-1) ...
182s Selecting previously unselected package python3-matplotlib.
182s Preparing to unpack .../52-python3-matplotlib_3.6.3-2ubuntu1_ppc64el.deb ...
182s Unpacking python3-matplotlib (3.6.3-2ubuntu1) ...
183s Selecting previously unselected package python3-pluggy.
183s Preparing to unpack .../53-python3-pluggy_1.5.0-1_all.deb ...
183s Unpacking python3-pluggy (1.5.0-1) ...
183s Selecting previously unselected package python3-pytest.
183s Preparing to unpack .../54-python3-pytest_8.2.2-1ubuntu1_all.deb ...
183s Unpacking python3-pytest (8.2.2-1ubuntu1) ...
183s Selecting previously unselected package python3-threadpoolctl.
183s Preparing to unpack .../55-python3-threadpoolctl_3.1.0-1_all.deb ...
183s Unpacking python3-threadpoolctl (3.1.0-1) ...
183s Selecting previously unselected package python3-sklearn-lib:ppc64el.
183s Preparing to unpack .../56-python3-sklearn-lib_1.4.2+dfsg-1_ppc64el.deb ...
183s Unpacking python3-sklearn-lib:ppc64el (1.4.2+dfsg-1) ...
183s Selecting previously unselected package python3-sklearn.
183s Preparing to unpack .../57-python3-sklearn_1.4.2+dfsg-1_all.deb ...
183s Unpacking python3-sklearn (1.4.2+dfsg-1) ...
183s Selecting previously unselected package autopkgtest-satdep.
183s Preparing to unpack .../58-1-autopkgtest-satdep.deb ...
183s Unpacking autopkgtest-satdep (0) ...
183s Setting up libgraphite2-3:ppc64el (1.3.14-2build1) ...
183s Setting up liblcms2-2:ppc64el (2.14-2build1) ...
183s Setting up python3-iniconfig (1.1.1-2) ...
183s Setting up libxrender1:ppc64el (1:0.9.10-1.1build1) ...
183s Setting up python3-joblib (1.3.2-2) ...
184s Setting up python3-lz4 (4.0.2+dfsg-1build4) ...
184s Setting up fonts-lyx (2.4.0-1) ...
184s Setting up libwebpdemux2:ppc64el (1.4.0-0.1) ...
184s Setting up python3-threadpoolctl (3.1.0-1) ...
184s Setting up x11-common (1:7.7+23ubuntu3) ...
185s Setting up libqhull-r8.0:ppc64el (2020.2-6build1) ...
185s Setting up python3-all (3.12.3-0ubuntu1) ...
185s Setting up libgomp1:ppc64el (14.1.0-1ubuntu1) ...
185s Setting up python3-tz (2024.1-2) ...
185s Setting up unicode-data (15.1.0-1) ...
185s Setting up python3-decorator (5.1.1-5) ...
185s Setting up libblas3:ppc64el (3.12.0-3build1) ...
185s 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
185s Setting up python3-packaging (24.0-1) ...
185s Setting up python3-brotli (1.1.0-2build2) ...
185s Setting up python3-cycler (0.12.1-1) ...
186s Setting up libimagequant0:ppc64el (2.18.0-1build1) ...
186s Setting up python3-kiwisolver (1.4.5-1) ...
186s Setting up libtcl8.6:ppc64el (8.6.14+dfsg-1build1) ...
186s Setting up libgfortran5:ppc64el (14.1.0-1ubuntu1) ...
186s Setting up python3-pluggy (1.5.0-1) ...
186s Setting up libxslt1.1:ppc64el (1.1.39-0exp1build1) ...
186s Setting up libopenjp2-7:ppc64el (2.5.0-2build3) ...
186s Setting up libharfbuzz0b:ppc64el (8.3.0-2build2) ...
186s Setting up python3-dateutil (2.9.0-2) ...
186s Setting up libxss1:ppc64el (1:1.2.3-1build3) ...
186s Setting up libjs-jquery (3.6.1+dfsg+~3.5.14-1) ...
186s Setting up python3-mpmath (1.3.0-1) ...
187s Setting up python-matplotlib-data (3.6.3-2ubuntu1) ...
187s Setting up libwebpmux3:ppc64el (1.4.0-0.1) ...
187s Setting up python3-appdirs (1.4.4-4) ...
187s Setting up python3-sympy (1.12-8) ...
195s Setting up liblapack3:ppc64el (3.12.0-3build1) ...
195s 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
195s Setting up libxft2:ppc64el (2.3.6-1build1) ...
195s Setting up python3-pytest (8.2.2-1ubuntu1) ...
196s Setting up libtk8.6:ppc64el (8.6.14-1build1) ...
196s Setting up python3-fs (2.4.16-4) ...
196s Setting up libjs-jquery-ui (1.13.2+dfsg-1) ...
196s Setting up libraqm0:ppc64el (0.10.1-1build1) ...
196s Setting up python3-numpy (1:1.26.4+ds-10) ...
199s Setting up python3-lxml:ppc64el (5.2.1-1) ...
199s Setting up python3-contourpy (1.0.7-3) ...
199s Setting up liblbfgsb0:ppc64el (3.0+dfsg.4-1build1) ...
199s Setting up tk8.6-blt2.5 (2.5.3+dfsg-7build1) ...
199s Setting up python3-scipy (1.11.4-10) ...
203s Setting up blt (2.5.3+dfsg-7build1) ...
203s Setting up python3-sklearn-lib:ppc64el (1.4.2+dfsg-1) ...
203s Setting up python3-tk:ppc64el (3.12.3-0ubuntu1) ...
203s Setting up python3-pil:ppc64el (10.3.0-2) ...
204s Setting up python3-pil.imagetk:ppc64el (10.3.0-2) ...
204s Setting up python3-sklearn (1.4.2+dfsg-1) ...
207s Setting up python3-fonttools (4.46.0-1build2) ...
208s Setting up python3-ufolib2 (0.16.0+dfsg1-1) ...
208s Setting up python3-matplotlib (3.6.3-2ubuntu1) ...
210s Setting up autopkgtest-satdep (0) ...
210s Processing triggers for libc-bin (2.39-0ubuntu8.1) ...
210s Processing triggers for man-db (2.12.1-1) ...
214s (Reading database ... 80294 files and directories currently installed.)
214s Removing autopkgtest-satdep (0) ...
215s autopkgtest [01:53:37]: test python3: [-----------------------
215s + export JOBLIB_MULTIPROCESSING=0
215s + py3versions -sv
215s + pys=3.12
215s + pkgbuild=no
215s + srcdir=/tmp/autopkgtest.9qJTNW/build.hxk/src
215s + exclude_tests=not test_old_pickle and not test_ard_accuracy_on_easy_problem
215s + dpkg-architecture -e arm64
215s dpkg-architecture: warning: cannot determine CC system type, falling back to default (native compilation)
215s + dpkg-architecture -e armel
215s dpkg-architecture: warning: cannot determine CC system type, falling back to default (native compilation)
215s + dpkg-architecture -e ppc64el
215s dpkg-architecture: warning: cannot determine CC system type, falling back to default (native compilation)
215s + exclude_tests=not test_old_pickle and not test_ard_accuracy_on_easy_problem and not test_precomputed_nearest_neighbors_filtering
215s + 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
215s + 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
215s + 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
215s + dpkg-architecture -e armhf
215s dpkg-architecture: warning: cannot determine CC system type, falling back to default (native compilation)
215s + dpkg-architecture -e s390x
215s dpkg-architecture: warning: cannot determine CC system type, falling back to default (native compilation)
215s + dpkg-architecture -e alpha
215s dpkg-architecture: warning: cannot determine CC system type, falling back to default (native compilation)
215s + dpkg-architecture -e ppc64
215s dpkg-architecture: warning: cannot determine CC system type, falling back to default (native compilation)
215s + echo === python3.12 ===
215s + [ no = yes ]
215s + module=/usr/lib/python3/dist-packages/sklearn
215s + cd /tmp/autopkgtest.9qJTNW/autopkgtest_tmp
215s + 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
215s === python3.12 ===
216s ============================= test session starts ==============================
216s platform linux -- Python 3.12.3, pytest-8.2.2, pluggy-1.5.0 -- /usr/bin/python3.12
216s cachedir: .pytest_cache
216s rootdir: /usr/lib/python3/dist-packages/sklearn
238s collecting ... collected 32785 items / 11732 deselected / 1 skipped / 21053 selected
238s 
238s ../../../usr/lib/python3/dist-packages/sklearn/_loss/tests/test_link.py::test_interval_raises I: Seeding RNGs with 462312564
238s PASSED
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238s ../../../usr/lib/python3/dist-packages/sklearn/_loss/tests/test_link.py::test_link_inverse_identity[42-IdentityLink] PASSED
238s ../../../usr/lib/python3/dist-packages/sklearn/_loss/tests/test_link.py::test_link_inverse_identity[42-LogLink] PASSED
238s ../../../usr/lib/python3/dist-packages/sklearn/_loss/tests/test_link.py::test_link_inverse_identity[42-LogitLink] PASSED
238s ../../../usr/lib/python3/dist-packages/sklearn/_loss/tests/test_link.py::test_link_inverse_identity[42-HalfLogitLink] PASSED
238s ../../../usr/lib/python3/dist-packages/sklearn/_loss/tests/test_link.py::test_link_inverse_identity[42-MultinomialLogit] PASSED
238s ../../../usr/lib/python3/dist-packages/sklearn/_loss/tests/test_link.py::test_link_out_argument[IdentityLink] PASSED
238s ../../../usr/lib/python3/dist-packages/sklearn/_loss/tests/test_link.py::test_link_out_argument[LogLink] PASSED
238s ../../../usr/lib/python3/dist-packages/sklearn/_loss/tests/test_link.py::test_link_out_argument[LogitLink] PASSED
238s ../../../usr/lib/python3/dist-packages/sklearn/_loss/tests/test_link.py::test_link_out_argument[HalfLogitLink] PASSED
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238s ../../../usr/lib/python3/dist-packages/sklearn/_loss/tests/test_loss.py::test_loss_on_specific_values[HalfPoissonLoss-2.0-1.3862943611198906-1.2274112777602189-2-4] PASSED
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243s ../../../usr/lib/python3/dist-packages/sklearn/_loss/tests/test_loss.py::test_init_gradient_and_hessian_raises[params0-Valid options for 'dtype' are .* Got dtype=<class 'numpy.int64'> instead.-PinballLoss] PASSED
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243s ../../../usr/lib/python3/dist-packages/sklearn/_loss/tests/test_loss.py::test_init_gradient_and_hessian_raises[params0-Valid options for 'dtype' are .* Got dtype=<class 'numpy.int64'> instead.-HalfPoissonLoss] PASSED
243s ../../../usr/lib/python3/dist-packages/sklearn/_loss/tests/test_loss.py::test_init_gradient_and_hessian_raises[params0-Valid options for 'dtype' are .* Got dtype=<class 'numpy.int64'> instead.-HalfGammaLoss] PASSED
243s ../../../usr/lib/python3/dist-packages/sklearn/_loss/tests/test_loss.py::test_init_gradient_and_hessian_raises[params0-Valid options for 'dtype' are .* Got dtype=<class 'numpy.int64'> instead.-HalfTweedieLoss] PASSED
243s ../../../usr/lib/python3/dist-packages/sklearn/_loss/tests/test_loss.py::test_init_gradient_and_hessian_raises[params0-Valid options for 'dtype' are .* Got dtype=<class 'numpy.int64'> instead.-HalfBinomialLoss] PASSED
243s ../../../usr/lib/python3/dist-packages/sklearn/_loss/tests/test_loss.py::test_init_gradient_and_hessian_raises[params0-Valid options for 'dtype' are .* Got dtype=<class 'numpy.int64'> instead.-HalfMultinomialLoss] PASSED
243s ../../../usr/lib/python3/dist-packages/sklearn/_loss/tests/test_loss.py::test_init_gradient_and_hessian_raises[params0-Valid options for 'dtype' are .* Got dtype=<class 'numpy.int64'> instead.-ExponentialLoss] PASSED
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244s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_affinity_propagation.py::test_affinity_propagation_precomputed Converged after 58 iterations.
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252s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_k_means.py::test_minibatch_with_many_reassignments Init 1/1 with method k-means++
252s Inertia for init 1/1: 0.0
252s [MiniBatchKMeans] Reassigning 5 cluster centers.
252s Minibatch step 1/1000: mean batch inertia: 0.0
252s [MiniBatchKMeans] Reassigning 5 cluster centers.
252s Minibatch step 2/1000: mean batch inertia: 0.3080566660299014, ewa inertia: 0.3080566660299014
252s [MiniBatchKMeans] Reassigning 5 cluster centers.
252s Minibatch step 3/1000: mean batch inertia: 0.0, ewa inertia: 0.24705534602398033
252s [MiniBatchKMeans] Reassigning 5 cluster centers.
252s Minibatch step 4/1000: mean batch inertia: 0.186974938046355, ewa inertia: 0.23515823553336146
252s [MiniBatchKMeans] Reassigning 5 cluster centers.
252s Minibatch step 5/1000: mean batch inertia: 0.17171937800139067, ewa inertia: 0.2225960855270306
252s [MiniBatchKMeans] Reassigning 5 cluster centers.
252s Minibatch step 6/1000: mean batch inertia: 0.049817260591626965, ewa inertia: 0.18838245682695068
252s [MiniBatchKMeans] Reassigning 5 cluster centers.
252s Minibatch step 7/1000: mean batch inertia: 0.0, ewa inertia: 0.1510790000295347
252s [MiniBatchKMeans] Reassigning 5 cluster centers.
252s Minibatch step 8/1000: mean batch inertia: 0.1542664193584458, ewa inertia: 0.15171017217387356
252s [MiniBatchKMeans] Reassigning 5 cluster centers.
252s Minibatch step 9/1000: mean batch inertia: 0.06856285304819812, ewa inertia: 0.135245356505423
252s [MiniBatchKMeans] Reassigning 5 cluster centers.
252s Minibatch step 10/1000: mean batch inertia: 0.0, ewa inertia: 0.10846409779147785
252s [MiniBatchKMeans] Reassigning 5 cluster centers.
252s Minibatch step 11/1000: mean batch inertia: 0.4318234426040357, ewa inertia: 0.17249565121970714
252s [MiniBatchKMeans] Reassigning 5 cluster centers.
252s Minibatch step 12/1000: mean batch inertia: 0.13429458644970244, ewa inertia: 0.1649310839385181
252s [MiniBatchKMeans] Reassigning 5 cluster centers.
252s Minibatch step 13/1000: mean batch inertia: 0.007648598714107941, ewa inertia: 0.13378603735942698
252s [MiniBatchKMeans] Reassigning 5 cluster centers.
252s Minibatch step 14/1000: mean batch inertia: 0.27290926989176373, ewa inertia: 0.16133519231632537
252s [MiniBatchKMeans] Reassigning 5 cluster centers.
252s Minibatch step 15/1000: mean batch inertia: 0.26804839351201176, ewa inertia: 0.18246651928576824
252s [MiniBatchKMeans] Reassigning 5 cluster centers.
252s Minibatch step 16/1000: mean batch inertia: 0.4901406248182324, ewa inertia: 0.24339208473774132
252s [MiniBatchKMeans] Reassigning 5 cluster centers.
252s Minibatch step 17/1000: mean batch inertia: 0.10111390241543201, ewa inertia: 0.21521818724817512
252s [MiniBatchKMeans] Reassigning 5 cluster centers.
252s Minibatch step 18/1000: mean batch inertia: 0.04132010037669032, ewa inertia: 0.18078292252114844
252s [MiniBatchKMeans] Reassigning 5 cluster centers.
252s Minibatch step 19/1000: mean batch inertia: 0.28877933278431545, ewa inertia: 0.202168350296033
252s [MiniBatchKMeans] Reassigning 5 cluster centers.
252s Minibatch step 20/1000: mean batch inertia: 0.21754968154408685, ewa inertia: 0.20521415846396446
252s Converged (lack of improvement in inertia) at step 20/1000
252s PASSED
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271s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_spectral_clustering_sparse[cluster_qr-coo_array] PASSED
271s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_affinities PASSED
271s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_cluster_qr PASSED
271s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_cluster_qr_permutation_invariance PASSED
271s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_discretize[50-coo_matrix] PASSED
271s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_discretize[50-coo_array] PASSED
271s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_discretize[100-coo_matrix] PASSED
271s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_discretize[100-coo_array] PASSED
271s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_discretize[150-coo_matrix] PASSED
271s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_discretize[150-coo_array] PASSED
271s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_discretize[500-coo_matrix] PASSED
271s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_discretize[500-coo_array] PASSED
271s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_spectral_clustering_with_arpack_amg_solvers PASSED
271s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_n_components PASSED
271s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_verbose[kmeans] PASSED
271s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_verbose[discretize] PASSED
271s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_verbose[cluster_qr] PASSED
271s ../../../usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py::test_spectral_clustering_np_matrix_raises PASSED
271s ../../../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
271s SVD did not converge, randomizing and trying again
271s SVD did not converge, randomizing and trying again
271s SVD did not converge, randomizing and trying again
271s SVD did not converge, randomizing and trying again
271s SVD did not converge, randomizing and trying again
271s SVD did not converge, randomizing and trying again
271s SVD did not converge, randomizing and trying again
271s SVD did not converge, randomizing and trying again
271s SVD did not converge, randomizing and trying again
271s SVD did not converge, randomizing and trying again
271s SVD did not converge, randomizing and trying again
271s SVD did not converge, randomizing and trying again
271s SVD did not converge, randomizing and trying again
271s SVD did not converge, randomizing and trying again
271s SVD did not converge, randomizing and trying again
271s SVD did not converge, randomizing and trying again
271s SVD did not converge, randomizing and trying again
271s SVD did not converge, randomizing and trying again
271s SVD did not converge, randomizing and trying again
271s SVD did not converge, randomizing and trying again
271s SVD did not converge, randomizing and trying again
271s SVD did not converge, randomizing and trying again
271s SVD did not converge, randomizing and trying again
271s SVD did not converge, randomizing and trying again
271s SVD did not converge, randomizing and trying again
271s SVD did not converge, randomizing and trying again
271s SVD did not converge, randomizing and trying again
271s SVD did not converge, randomizing and trying again
271s SVD did not converge, randomizing and trying again
271s PASSED
271s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer PASSED
271s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_tuple_transformers_parameter PASSED
271s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_dataframe[dataframe] SKIPPED
271s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_dataframe[polars] SKIPPED
271s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_empty_columns[False-list-pandas] SKIPPED
271s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_empty_columns[False-list-numpy] PASSED
271s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_empty_columns[False-bool-pandas] SKIPPED
271s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_empty_columns[False-bool-numpy] PASSED
271s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_empty_columns[False-bool_int-pandas] SKIPPED
271s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_empty_columns[False-bool_int-numpy] PASSED
271s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_empty_columns[True-list-pandas] SKIPPED
271s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_empty_columns[True-list-numpy] PASSED
271s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_empty_columns[True-bool-pandas] SKIPPED
271s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_empty_columns[True-bool-numpy] PASSED
271s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_empty_columns[True-bool_int-pandas] SKIPPED
271s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_empty_columns[True-bool_int-numpy] PASSED
271s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_output_indices PASSED
271s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_output_indices_df SKIPPED
271s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_sparse_array[csr_matrix] PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_sparse_array[csr_array] PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_list PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_sparse_stacking[csr_matrix] PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_sparse_stacking[csr_array] PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_mixed_cols_sparse PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_sparse_threshold PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_error_msg_1D PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_2D_transformer_output PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_2D_transformer_output_pandas SKIPPED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_invalid_columns[drop] PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_invalid_columns[passthrough] PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_invalid_transformer PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_make_column_transformer PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_make_column_transformer_pandas SKIPPED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_make_column_transformer_kwargs PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_make_column_transformer_remainder_transformer PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_get_set_params PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_named_estimators PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_cloning PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_get_feature_names PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_special_strings PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_numpy[key0] PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_numpy[key1] PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_numpy[key2] PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_numpy[key3] PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_pandas[key0] SKIPPED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_pandas[key1] SKIPPED
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272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_pandas[key6] SKIPPED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_pandas[key7] SKIPPED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_pandas[key8] SKIPPED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_transformer[key0] PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_transformer[key1] PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_transformer[key2] PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_remainder_transformer[key3] PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_no_remaining_remainder_transformer PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_drops_all_remainder_transformer PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_sparse_remainder_transformer[csr_matrix] PASSED
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272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_drop_all_sparse_remainder_transformer[csr_matrix] PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_drop_all_sparse_remainder_transformer[csr_array] PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_get_set_params_with_remainder PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_no_estimators PASSED
272s ../../../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$] PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_verbose[fit-est1-\\[ColumnTransformer\\].*\\(1 of 3\\) Processing trans1.* total=.*\\n\\[ColumnTransformer\\].*\\(2 of 3\\) Processing trans2.* total=.*\\n\\[ColumnTransformer\\].*\\(3 of 3\\) Processing remainder.* total=.*\\n$] PASSED
272s ../../../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$] PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_verbose[fit-est3-\\[ColumnTransformer\\].*\\(1 of 3\\) Processing trans1.* total=.*\\n\\[ColumnTransformer\\].*\\(2 of 3\\) Processing trans2.* total=.*\\n\\[ColumnTransformer\\].*\\(3 of 3\\) Processing remainder.* total=.*\\n$] PASSED
272s ../../../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$] PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_verbose[fit-est5-\\[ColumnTransformer\\].*\\(1 of 2\\) Processing trans1.* total=.*\\n\\[ColumnTransformer\\].*\\(2 of 2\\) Processing trans2.* total=.*\\n$] PASSED
272s ../../../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$] PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_verbose[fit_transform-est0-\\[ColumnTransformer\\].*\\(1 of 3\\) Processing trans1.* total=.*\\n\\[ColumnTransformer\\].*\\(2 of 3\\) Processing trans2.* total=.*\\n\\[ColumnTransformer\\].*\\(3 of 3\\) Processing remainder.* total=.*\\n$] PASSED
272s ../../../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$] PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_verbose[fit_transform-est2-\\[ColumnTransformer\\].*\\(1 of 2\\) Processing trans1.* total=.*\\n\\[ColumnTransformer\\].*\\(2 of 2\\) Processing remainder.* total=.*\\n$] PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_verbose[fit_transform-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$] PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_verbose[fit_transform-est4-\\[ColumnTransformer\\].*\\(1 of 2\\) Processing trans1.* total=.*\\n\\[ColumnTransformer\\].*\\(2 of 2\\) Processing remainder.* total=.*\\n$] PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_verbose[fit_transform-est5-\\[ColumnTransformer\\].*\\(1 of 2\\) Processing trans1.* total=.*\\n\\[ColumnTransformer\\].*\\(2 of 2\\) Processing trans2.* total=.*\\n$] PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_verbose[fit_transform-est6-\\[ColumnTransformer\\].*\\(1 of 1\\) Processing trans1.* total=.*\\n$] PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_no_estimators_set_params PASSED
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272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_negative_column_indexes PASSED
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272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_mask_indexing[csr_array] PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_n_features_in PASSED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_make_column_selector_with_select_dtypes[cols0-None-number-None] SKIPPED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_make_column_selector_with_select_dtypes[cols1-None-None-object] SKIPPED
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272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_column_transformer_with_make_column_selector SKIPPED
272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_make_column_selector_error PASSED
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272s ../../../usr/lib/python3/dist-packages/sklearn/compose/tests/test_column_transformer.py::test_feature_names_empty_columns[list] SKIPPED
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347s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_classification[255-4096-20-2] SKIPPED
347s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_classification[255-4096-20-3] SKIPPED
347s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_classification[255-4096-20-4] SKIPPED
347s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_classification[1000-8-1-0] SKIPPED
347s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_classification[1000-8-1-1] SKIPPED
347s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_classification[1000-8-1-2] SKIPPED
347s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_classification[1000-8-1-3] SKIPPED
347s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_classification[1000-8-1-4] SKIPPED
347s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_classification[1000-8-20-0] SKIPPED
347s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_classification[1000-8-20-1] SKIPPED
347s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_classification[1000-8-20-2] SKIPPED
347s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_classification[1000-8-20-3] SKIPPED
347s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_classification[1000-8-20-4] SKIPPED
347s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_multiclass_classification[255-4096-1-0] SKIPPED
347s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_multiclass_classification[255-4096-1-1] SKIPPED
347s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_multiclass_classification[255-4096-1-2] SKIPPED
347s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_multiclass_classification[255-4096-1-3] SKIPPED
347s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_multiclass_classification[255-4096-1-4] SKIPPED
347s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_multiclass_classification[255-4096-20-0] SKIPPED
347s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_multiclass_classification[255-4096-20-1] SKIPPED
347s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_multiclass_classification[255-4096-20-2] SKIPPED
347s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_multiclass_classification[255-4096-20-3] SKIPPED
347s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_multiclass_classification[255-4096-20-4] SKIPPED
347s ../../../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
347s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py::test_same_predictions_multiclass_classification[10000-8-1-1] SKIPPED
347s ../../../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
347s ../../../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
347s ../../../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
347s ../../../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
347s ../../../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
347s ../../../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
347s ../../../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
347s ../../../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
347s ../../../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
347s ../../../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
347s ../../../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
347s ../../../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
347s ../../../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
347s ../../../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
347s ../../../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
347s ../../../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
347s ../../../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: 0.006 s
347s Binning 0.000 GB of validation data: 0.000 s
347s Fitting gradient boosted rounds:
347s [1/200] 1 tree, 7 leaves, max depth = 5, train score: -15358.35025, val score: -6300.43824, in 0.003s
347s [2/200] 1 tree, 7 leaves, max depth = 5, train score: -13104.32978, val score: -6325.97255, in 0.003s
347s [3/200] 1 tree, 7 leaves, max depth = 5, train score: -11252.30542, val score: -6765.47467, in 0.003s
347s [4/200] 1 tree, 7 leaves, max depth = 3, train score: -9548.42871, val score: -5946.55057, in 0.002s
347s [5/200] 1 tree, 7 leaves, max depth = 3, train score: -8160.71607, val score: -5801.44392, in 0.002s
347s [6/200] 1 tree, 7 leaves, max depth = 4, train score: -6949.30177, val score: -5990.06510, in 0.002s
347s [7/200] 1 tree, 8 leaves, max depth = 4, train score: -5938.95550, val score: -5747.35047, in 0.003s
347s [8/200] 1 tree, 7 leaves, max depth = 4, train score: -5092.70049, val score: -5925.64796, in 0.002s
347s [9/200] 1 tree, 8 leaves, max depth = 4, train score: -4329.60640, val score: -5712.24723, in 0.003s
347s [10/200] 1 tree, 7 leaves, max depth = 3, train score: -3676.44803, val score: -5252.01430, in 0.002s
347s [11/200] 1 tree, 8 leaves, max depth = 4, train score: -3151.21069, val score: -5136.32086, in 0.003s
347s [12/200] 1 tree, 7 leaves, max depth = 6, train score: -2731.24118, val score: -5803.57996, in 0.003s
347s [13/200] 1 tree, 7 leaves, max depth = 3, train score: -2356.13319, val score: -5624.49048, in 0.002s
347s [14/200] 1 tree, 7 leaves, max depth = 3, train score: -2005.31881, val score: -5318.04851, in 0.002s
347s [15/200] 1 tree, 7 leaves, max depth = 6, train score: -1749.05965, val score: -5602.46345, in 0.003s
347s [16/200] 1 tree, 8 leaves, max depth = 4, train score: -1505.55297, val score: -5569.02553, in 0.003s
347s Fit 16 trees in 0.050 s, (116 total leaves)
347s Time spent computing histograms: 0.009s
347s Time spent finding best splits:  0.005s
347s Time spent applying splits:      0.003s
347s Time spent predicting:           0.000s
347s PASSED
347s ../../../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: 0.006 s
347s Fitting gradient boosted rounds:
347s [1/200] 1 tree, 8 leaves, max depth = 4, train score: -14225.47693, in 0.003s
347s [2/200] 1 tree, 8 leaves, max depth = 4, train score: -12176.96503, in 0.002s
347s [3/200] 1 tree, 8 leaves, max depth = 4, train score: -10249.37480, in 0.002s
347s [4/200] 1 tree, 8 leaves, max depth = 4, train score: -8688.02670, in 0.002s
347s [5/200] 1 tree, 8 leaves, max depth = 4, train score: -7478.47398, in 0.002s
347s [6/200] 1 tree, 7 leaves, max depth = 4, train score: -6428.70959, in 0.002s
347s [7/200] 1 tree, 7 leaves, max depth = 5, train score: -5483.47343, in 0.002s
347s [8/200] 1 tree, 8 leaves, max depth = 4, train score: -4676.16481, in 0.002s
347s [9/200] 1 tree, 7 leaves, max depth = 5, train score: -4027.81069, in 0.002s
347s [10/200] 1 tree, 8 leaves, max depth = 6, train score: -3479.43963, in 0.002s
347s [11/200] 1 tree, 8 leaves, max depth = 5, train score: -3033.81730, in 0.002s
347s [12/200] 1 tree, 8 leaves, max depth = 7, train score: -2650.46139, in 0.002s
347s [13/200] 1 tree, 8 leaves, max depth = 5, train score: -2311.20825, in 0.002s
347s [14/200] 1 tree, 8 leaves, max depth = 4, train score: -1991.69147, in 0.003s
347s [15/200] 1 tree, 7 leaves, max depth = 5, train score: -1744.11691, in 0.002s
347s [16/200] 1 tree, 8 leaves, max depth = 5, train score: -1538.03353, in 0.002s
347s [17/200] 1 tree, 8 leaves, max depth = 4, train score: -1333.36533, in 0.002s
347s [18/200] 1 tree, 7 leaves, max depth = 5, train score: -1176.11817, in 0.002s
347s [19/200] 1 tree, 8 leaves, max depth = 5, train score: -1044.90030, in 0.002s
347s [20/200] 1 tree, 9 leaves, max depth = 5, train score: -911.89338, in 0.002s
347s [21/200] 1 tree, 9 leaves, max depth = 6, train score: -800.92275, in 0.002s
347s [22/200] 1 tree, 8 leaves, max depth = 5, train score: -716.89535, in 0.002s
347s [23/200] 1 tree, 7 leaves, max depth = 6, train score: -654.42760, in 0.002s
347s [24/200] 1 tree, 9 leaves, max depth = 6, train score: -579.73365, in 0.002s
347s [25/200] 1 tree, 8 leaves, max depth = 5, train score: -515.78194, in 0.002s
347s [26/200] 1 tree, 8 leaves, max depth = 5, train score: -459.32122, in 0.002s
347s [27/200] 1 tree, 8 leaves, max depth = 5, train score: -409.24650, in 0.002s
347s [28/200] 1 tree, 9 leaves, max depth = 6, train score: -367.47790, in 0.002s
347s [29/200] 1 tree, 8 leaves, max depth = 5, train score: -335.66521, in 0.002s
347s [30/200] 1 tree, 9 leaves, max depth = 5, train score: -297.76401, in 0.002s
347s [31/200] 1 tree, 8 leaves, max depth = 6, train score: -272.96701, in 0.002s
347s [32/200] 1 tree, 9 leaves, max depth = 6, train score: -248.19832, in 0.003s
347s [33/200] 1 tree, 9 leaves, max depth = 7, train score: -225.81113, in 0.002s
347s [34/200] 1 tree, 8 leaves, max depth = 5, train score: -205.90128, in 0.002s
347s [35/200] 1 tree, 8 leaves, max depth = 5, train score: -189.92080, in 0.002s
347s [36/200] 1 tree, 8 leaves, max depth = 7, train score: -176.85519, in 0.002s
347s [37/200] 1 tree, 9 leaves, max depth = 6, train score: -163.84071, in 0.003s
347s [38/200] 1 tree, 8 leaves, max depth = 7, train score: -150.32988, in 0.003s
347s [39/200] 1 tree, 8 leaves, max depth = 5, train score: -139.70658, in 0.002s
347s [40/200] 1 tree, 7 leaves, max depth = 4, train score: -129.94358, in 0.002s
347s [41/200] 1 tree, 8 leaves, max depth = 6, train score: -121.59335, in 0.002s
347s [42/200] 1 tree, 8 leaves, max depth = 6, train score: -111.89196, in 0.002s
347s [43/200] 1 tree, 8 leaves, max depth = 7, train score: -104.45571, in 0.003s
347s [44/200] 1 tree, 9 leaves, max depth = 6, train score: -97.88336, in 0.003s
347s [45/200] 1 tree, 8 leaves, max depth = 7, train score: -90.87299, in 0.002s
347s [46/200] 1 tree, 7 leaves, max depth = 6, train score: -85.43359, in 0.002s
347s [47/200] 1 tree, 8 leaves, max depth = 6, train score: -80.05618, in 0.002s
347s [48/200] 1 tree, 8 leaves, max depth = 7, train score: -74.68913, in 0.002s
347s [49/200] 1 tree, 8 leaves, max depth = 7, train score: -70.65725, in 0.002s
347s [50/200] 1 tree, 9 leaves, max depth = 7, train score: -65.66765, in 0.003s
347s [51/200] 1 tree, 9 leaves, max depth = 7, train score: -59.75878, in 0.003s
347s [52/200] 1 tree, 9 leaves, max depth = 7, train score: -56.10258, in 0.003s
347s [53/200] 1 tree, 7 leaves, max depth = 5, train score: -51.34178, in 0.002s
347s [54/200] 1 tree, 9 leaves, max depth = 8, train score: -47.82090, in 0.003s
347s [55/200] 1 tree, 9 leaves, max depth = 6, train score: -42.45177, in 0.003s
347s [56/200] 1 tree, 9 leaves, max depth = 7, train score: -39.48291, in 0.003s
347s [57/200] 1 tree, 8 leaves, max depth = 6, train score: -36.44386, in 0.002s
347s [58/200] 1 tree, 8 leaves, max depth = 6, train score: -34.28559, in 0.002s
347s [59/200] 1 tree, 8 leaves, max depth = 7, train score: -31.95874, in 0.002s
347s [60/200] 1 tree, 9 leaves, max depth = 6, train score: -29.25862, in 0.002s
347s [61/200] 1 tree, 9 leaves, max depth = 7, train score: -27.72101, in 0.003s
347s [62/200] 1 tree, 8 leaves, max depth = 7, train score: -26.30325, in 0.002s
347s [63/200] 1 tree, 9 leaves, max depth = 7, train score: -24.65700, in 0.003s
347s [64/200] 1 tree, 8 leaves, max depth = 7, train score: -23.47527, in 0.003s
347s [65/200] 1 tree, 8 leaves, max depth = 7, train score: -22.14954, in 0.002s
347s [66/200] 1 tree, 8 leaves, max depth = 7, train score: -21.11851, in 0.003s
347s [67/200] 1 tree, 9 leaves, max depth = 7, train score: -19.91447, in 0.002s
347s [68/200] 1 tree, 8 leaves, max depth = 7, train score: -18.78488, in 0.002s
348s [69/200] 1 tree, 9 leaves, max depth = 8, train score: -17.74892, in 0.004s
348s [70/200] 1 tree, 7 leaves, max depth = 6, train score: -17.00395, in 0.002s
348s [71/200] 1 tree, 9 leaves, max depth = 8, train score: -16.01575, in 0.003s
348s [72/200] 1 tree, 8 leaves, max depth = 6, train score: -15.10901, in 0.002s
348s [73/200] 1 tree, 8 leaves, max depth = 6, train score: -14.44367, in 0.002s
348s [74/200] 1 tree, 9 leaves, max depth = 7, train score: -13.62321, in 0.003s
348s [75/200] 1 tree, 8 leaves, max depth = 7, train score: -12.96723, in 0.002s
348s [76/200] 1 tree, 8 leaves, max depth = 6, train score: -12.43202, in 0.002s
348s [77/200] 1 tree, 9 leaves, max depth = 7, train score: -11.79314, in 0.002s
348s [78/200] 1 tree, 8 leaves, max depth = 6, train score: -11.23240, in 0.002s
348s [79/200] 1 tree, 10 leaves, max depth = 8, train score: -10.68134, in 0.003s
348s [80/200] 1 tree, 9 leaves, max depth = 7, train score: -10.15603, in 0.003s
348s [81/200] 1 tree, 9 leaves, max depth = 7, train score: -9.64009, in 0.003s
348s [82/200] 1 tree, 8 leaves, max depth = 6, train score: -9.21361, in 0.003s
348s [83/200] 1 tree, 9 leaves, max depth = 7, train score: -8.73431, in 0.003s
348s [84/200] 1 tree, 8 leaves, max depth = 7, train score: -8.33448, in 0.002s
348s [85/200] 1 tree, 9 leaves, max depth = 6, train score: -7.99919, in 0.003s
348s [86/200] 1 tree, 8 leaves, max depth = 7, train score: -7.62291, in 0.003s
348s [87/200] 1 tree, 9 leaves, max depth = 7, train score: -7.26931, in 0.003s
348s [88/200] 1 tree, 9 leaves, max depth = 7, train score: -6.92953, in 0.003s
348s [89/200] 1 tree, 9 leaves, max depth = 6, train score: -6.55974, in 0.003s
348s [90/200] 1 tree, 9 leaves, max depth = 8, train score: -6.26552, in 0.003s
348s [91/200] 1 tree, 9 leaves, max depth = 7, train score: -6.02406, in 0.003s
348s [92/200] 1 tree, 8 leaves, max depth = 7, train score: -5.76306, in 0.002s
348s [93/200] 1 tree, 8 leaves, max depth = 6, train score: -5.53783, in 0.002s
348s [94/200] 1 tree, 8 leaves, max depth = 7, train score: -5.29419, in 0.002s
348s [95/200] 1 tree, 9 leaves, max depth = 7, train score: -5.05433, in 0.003s
348s [96/200] 1 tree, 9 leaves, max depth = 7, train score: -4.82937, in 0.003s
348s [97/200] 1 tree, 9 leaves, max depth = 7, train score: -4.62345, in 0.003s
348s [98/200] 1 tree, 8 leaves, max depth = 7, train score: -4.43211, in 0.003s
348s [99/200] 1 tree, 9 leaves, max depth = 7, train score: -4.23661, in 0.003s
348s [100/200] 1 tree, 9 leaves, max depth = 6, train score: -4.03495, in 0.002s
348s [101/200] 1 tree, 8 leaves, max depth = 6, train score: -3.87910, in 0.002s
348s [102/200] 1 tree, 9 leaves, max depth = 7, train score: -3.71716, in 0.002s
348s [103/200] 1 tree, 9 leaves, max depth = 7, train score: -3.55866, in 0.003s
348s [104/200] 1 tree, 8 leaves, max depth = 7, train score: -3.40824, in 0.002s
348s [105/200] 1 tree, 8 leaves, max depth = 6, train score: -3.26870, in 0.002s
348s [106/200] 1 tree, 8 leaves, max depth = 7, train score: -3.13239, in 0.002s
348s [107/200] 1 tree, 9 leaves, max depth = 8, train score: -3.00236, in 0.003s
348s [108/200] 1 tree, 8 leaves, max depth = 7, train score: -2.88012, in 0.002s
348s [109/200] 1 tree, 8 leaves, max depth = 5, train score: -2.77238, in 0.002s
348s [110/200] 1 tree, 9 leaves, max depth = 7, train score: -2.65749, in 0.003s
348s [111/200] 1 tree, 9 leaves, max depth = 7, train score: -2.54903, in 0.003s
348s [112/200] 1 tree, 8 leaves, max depth = 6, train score: -2.45330, in 0.002s
348s [113/200] 1 tree, 9 leaves, max depth = 8, train score: -2.35016, in 0.003s
348s [114/200] 1 tree, 8 leaves, max depth = 7, train score: -2.25157, in 0.002s
348s [115/200] 1 tree, 8 leaves, max depth = 7, train score: -2.16238, in 0.002s
348s [116/200] 1 tree, 9 leaves, max depth = 7, train score: -2.07315, in 0.003s
348s [117/200] 1 tree, 8 leaves, max depth = 7, train score: -1.99111, in 0.002s
348s [118/200] 1 tree, 9 leaves, max depth = 7, train score: -1.91103, in 0.003s
348s [119/200] 1 tree, 9 leaves, max depth = 7, train score: -1.83423, in 0.003s
348s [120/200] 1 tree, 8 leaves, max depth = 6, train score: -1.75617, in 0.002s
348s [121/200] 1 tree, 8 leaves, max depth = 5, train score: -1.69233, in 0.002s
348s [122/200] 1 tree, 8 leaves, max depth = 6, train score: -1.62507, in 0.002s
348s [123/200] 1 tree, 8 leaves, max depth = 7, train score: -1.56136, in 0.003s
348s [124/200] 1 tree, 8 leaves, max depth = 5, train score: -1.50232, in 0.002s
348s [125/200] 1 tree, 9 leaves, max depth = 8, train score: -1.44286, in 0.003s
348s [126/200] 1 tree, 9 leaves, max depth = 8, train score: -1.38574, in 0.003s
348s [127/200] 1 tree, 8 leaves, max depth = 7, train score: -1.33112, in 0.003s
348s [128/200] 1 tree, 8 leaves, max depth = 7, train score: -1.27793, in 0.002s
348s [129/200] 1 tree, 8 leaves, max depth = 6, train score: -1.22784, in 0.002s
348s [130/200] 1 tree, 8 leaves, max depth = 7, train score: -1.17825, in 0.002s
348s [131/200] 1 tree, 9 leaves, max depth = 7, train score: -1.13201, in 0.003s
348s [132/200] 1 tree, 10 leaves, max depth = 8, train score: -1.08851, in 0.003s
348s [133/200] 1 tree, 9 leaves, max depth = 8, train score: -1.04661, in 0.003s
348s [134/200] 1 tree, 7 leaves, max depth = 5, train score: -1.00801, in 0.002s
348s [135/200] 1 tree, 9 leaves, max depth = 7, train score: -0.96822, in 0.003s
348s [136/200] 1 tree, 8 leaves, max depth = 7, train score: -0.93049, in 0.003s
348s [137/200] 1 tree, 8 leaves, max depth = 6, train score: -0.89478, in 0.002s
348s [138/200] 1 tree, 9 leaves, max depth = 7, train score: -0.85961, in 0.003s
348s [139/200] 1 tree, 8 leaves, max depth = 6, train score: -0.82579, in 0.002s
348s [140/200] 1 tree, 8 leaves, max depth = 6, train score: -0.79411, in 0.002s
348s [141/200] 1 tree, 7 leaves, max depth = 6, train score: -0.76506, in 0.002s
348s [142/200] 1 tree, 8 leaves, max depth = 7, train score: -0.73536, in 0.003s
348s [143/200] 1 tree, 9 leaves, max depth = 7, train score: -0.70690, in 0.003s
348s [144/200] 1 tree, 8 leaves, max depth = 7, train score: -0.68008, in 0.002s
348s [145/200] 1 tree, 8 leaves, max depth = 5, train score: -0.65577, in 0.002s
348s [146/200] 1 tree, 9 leaves, max depth = 7, train score: -0.63126, in 0.002s
348s [147/200] 1 tree, 8 leaves, max depth = 6, train score: -0.60730, in 0.002s
348s [148/200] 1 tree, 9 leaves, max depth = 5, train score: -0.58326, in 0.002s
348s [149/200] 1 tree, 7 leaves, max depth = 5, train score: -0.56165, in 0.003s
348s [150/200] 1 tree, 9 leaves, max depth = 6, train score: -0.53979, in 0.003s
348s [151/200] 1 tree, 9 leaves, max depth = 8, train score: -0.51940, in 0.003s
348s [152/200] 1 tree, 9 leaves, max depth = 7, train score: -0.49971, in 0.003s
348s [153/200] 1 tree, 9 leaves, max depth = 7, train score: -0.48096, in 0.003s
348s [154/200] 1 tree, 9 leaves, max depth = 6, train score: -0.46280, in 0.002s
348s Fit 154 trees in 0.389 s, (1283 total leaves)
348s Time spent computing histograms: 0.112s
348s Time spent finding best splits:  0.064s
348s Time spent applying splits:      0.033s
348s Time spent predicting:           0.004s
348s PASSED
348s ../../../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: 0.006 s
348s Binning 0.000 GB of validation data: 0.000 s
348s Fitting gradient boosted rounds:
348s [1/200] 1 tree, 7 leaves, max depth = 5, train score: 0.14265, val score: 0.00147, in 0.003s
348s [2/200] 1 tree, 7 leaves, max depth = 5, train score: 0.26848, val score: -0.00258, in 0.003s
348s [3/200] 1 tree, 7 leaves, max depth = 5, train score: 0.37186, val score: -0.07224, in 0.003s
348s [4/200] 1 tree, 7 leaves, max depth = 3, train score: 0.46698, val score: 0.05755, in 0.003s
348s [5/200] 1 tree, 7 leaves, max depth = 3, train score: 0.54444, val score: 0.08055, in 0.003s
348s [6/200] 1 tree, 7 leaves, max depth = 4, train score: 0.61207, val score: 0.05066, in 0.003s
348s [7/200] 1 tree, 8 leaves, max depth = 4, train score: 0.66847, val score: 0.08912, in 0.003s
348s [8/200] 1 tree, 7 leaves, max depth = 4, train score: 0.71571, val score: 0.06086, in 0.003s
348s [9/200] 1 tree, 8 leaves, max depth = 4, train score: 0.75831, val score: 0.09469, in 0.003s
348s [10/200] 1 tree, 7 leaves, max depth = 3, train score: 0.79477, val score: 0.16763, in 0.003s
348s [11/200] 1 tree, 8 leaves, max depth = 4, train score: 0.82409, val score: 0.18596, in 0.003s
348s [12/200] 1 tree, 7 leaves, max depth = 6, train score: 0.84753, val score: 0.08021, in 0.003s
348s [13/200] 1 tree, 7 leaves, max depth = 3, train score: 0.86847, val score: 0.10859, in 0.003s
348s [14/200] 1 tree, 7 leaves, max depth = 3, train score: 0.88806, val score: 0.15716, in 0.003s
348s [15/200] 1 tree, 7 leaves, max depth = 6, train score: 0.90236, val score: 0.11208, in 0.004s
348s [16/200] 1 tree, 8 leaves, max depth = 4, train score: 0.91596, val score: 0.11738, in 0.003s
348s Fit 16 trees in 0.056 s, (116 total leaves)
348s Time spent computing histograms: 0.009s
348s Time spent finding best splits:  0.005s
348s Time spent applying splits:      0.003s
348s Time spent predicting:           0.000s
348s PASSED
348s ../../../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: 0.006 s
348s Fitting gradient boosted rounds:
348s [1/200] 1 tree, 8 leaves, max depth = 4, train score: 0.15089, in 0.002s
348s [2/200] 1 tree, 8 leaves, max depth = 4, train score: 0.27316, in 0.003s
348s [3/200] 1 tree, 8 leaves, max depth = 4, train score: 0.38822, in 0.002s
348s [4/200] 1 tree, 8 leaves, max depth = 4, train score: 0.48142, in 0.002s
348s [5/200] 1 tree, 8 leaves, max depth = 4, train score: 0.55361, in 0.003s
348s [6/200] 1 tree, 7 leaves, max depth = 4, train score: 0.61627, in 0.002s
348s [7/200] 1 tree, 7 leaves, max depth = 5, train score: 0.67269, in 0.002s
348s [8/200] 1 tree, 8 leaves, max depth = 4, train score: 0.72088, in 0.002s
348s [9/200] 1 tree, 7 leaves, max depth = 5, train score: 0.75958, in 0.002s
348s [10/200] 1 tree, 8 leaves, max depth = 6, train score: 0.79231, in 0.003s
348s [11/200] 1 tree, 8 leaves, max depth = 5, train score: 0.81891, in 0.002s
348s [12/200] 1 tree, 8 leaves, max depth = 7, train score: 0.84180, in 0.003s
348s [13/200] 1 tree, 8 leaves, max depth = 5, train score: 0.86205, in 0.003s
348s [14/200] 1 tree, 8 leaves, max depth = 4, train score: 0.88112, in 0.003s
348s [15/200] 1 tree, 7 leaves, max depth = 5, train score: 0.89589, in 0.003s
348s [16/200] 1 tree, 8 leaves, max depth = 5, train score: 0.90820, in 0.003s
348s Fit 16 trees in 0.048 s, (124 total leaves)
348s Time spent computing histograms: 0.010s
348s Time spent finding best splits:  0.006s
348s Time spent applying splits:      0.003s
348s Time spent predicting:           0.000s
348s PASSED
348s ../../../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: 0.006 s
348s Binning 0.000 GB of validation data: 0.000 s
348s Fitting gradient boosted rounds:
348s [1/200] 1 tree, 7 leaves, max depth = 5, train loss: 7679.17512, val loss: 3150.21912, in 0.002s
348s [2/200] 1 tree, 7 leaves, max depth = 5, train loss: 6552.16489, val loss: 3162.98628, in 0.002s
348s [3/200] 1 tree, 7 leaves, max depth = 5, train loss: 5626.15271, val loss: 3382.73733, in 0.002s
348s [4/200] 1 tree, 7 leaves, max depth = 3, train loss: 4774.21435, val loss: 2973.27528, in 0.002s
348s [5/200] 1 tree, 7 leaves, max depth = 3, train loss: 4080.35804, val loss: 2900.72196, in 0.001s
348s [6/200] 1 tree, 7 leaves, max depth = 4, train loss: 3474.65088, val loss: 2995.03255, in 0.002s
348s [7/200] 1 tree, 8 leaves, max depth = 4, train loss: 2969.47775, val loss: 2873.67524, in 0.016s
348s [8/200] 1 tree, 7 leaves, max depth = 4, train loss: 2546.35024, val loss: 2962.82398, in 0.002s
348s [9/200] 1 tree, 8 leaves, max depth = 4, train loss: 2164.80320, val loss: 2856.12362, in 0.002s
348s [10/200] 1 tree, 7 leaves, max depth = 3, train loss: 1838.22402, val loss: 2626.00715, in 0.002s
348s [11/200] 1 tree, 8 leaves, max depth = 4, train loss: 1575.60534, val loss: 2568.16043, in 0.002s
348s [12/200] 1 tree, 7 leaves, max depth = 6, train loss: 1365.62059, val loss: 2901.78998, in 0.002s
348s [13/200] 1 tree, 7 leaves, max depth = 3, train loss: 1178.06659, val loss: 2812.24524, in 0.002s
348s [14/200] 1 tree, 7 leaves, max depth = 3, train loss: 1002.65940, val loss: 2659.02425, in 0.002s
348s [15/200] 1 tree, 7 leaves, max depth = 6, train loss: 874.52983, val loss: 2801.23172, in 0.002s
348s [16/200] 1 tree, 8 leaves, max depth = 4, train loss: 752.77649, val loss: 2784.51277, in 0.002s
348s Fit 16 trees in 0.051 s, (116 total leaves)
348s Time spent computing histograms: 0.022s
348s Time spent finding best splits:  0.005s
348s Time spent applying splits:      0.003s
348s Time spent predicting:           0.000s
348s PASSED
348s ../../../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: 0.006 s
348s Fitting gradient boosted rounds:
348s [1/200] 1 tree, 8 leaves, max depth = 4, train loss: 7112.73847, in 0.002s
348s [2/200] 1 tree, 8 leaves, max depth = 4, train loss: 6088.48251, in 0.002s
348s [3/200] 1 tree, 8 leaves, max depth = 4, train loss: 5124.68740, in 0.002s
348s [4/200] 1 tree, 8 leaves, max depth = 4, train loss: 4344.01335, in 0.002s
348s [5/200] 1 tree, 8 leaves, max depth = 4, train loss: 3739.23699, in 0.002s
348s [6/200] 1 tree, 7 leaves, max depth = 4, train loss: 3214.35480, in 0.002s
348s [7/200] 1 tree, 7 leaves, max depth = 5, train loss: 2741.73671, in 0.002s
348s [8/200] 1 tree, 8 leaves, max depth = 4, train loss: 2338.08241, in 0.002s
348s [9/200] 1 tree, 7 leaves, max depth = 5, train loss: 2013.90534, in 0.002s
348s [10/200] 1 tree, 8 leaves, max depth = 6, train loss: 1739.71981, in 0.002s
348s [11/200] 1 tree, 8 leaves, max depth = 5, train loss: 1516.90865, in 0.002s
348s [12/200] 1 tree, 8 leaves, max depth = 7, train loss: 1325.23069, in 0.003s
348s [13/200] 1 tree, 8 leaves, max depth = 5, train loss: 1155.60412, in 0.002s
348s [14/200] 1 tree, 8 leaves, max depth = 4, train loss: 995.84574, in 0.002s
348s [15/200] 1 tree, 7 leaves, max depth = 5, train loss: 872.05846, in 0.002s
348s [16/200] 1 tree, 8 leaves, max depth = 5, train loss: 769.01676, in 0.002s
348s [17/200] 1 tree, 8 leaves, max depth = 4, train loss: 666.68267, in 0.002s
348s [18/200] 1 tree, 7 leaves, max depth = 5, train loss: 588.05909, in 0.002s
348s [19/200] 1 tree, 8 leaves, max depth = 5, train loss: 522.45015, in 0.002s
348s [20/200] 1 tree, 9 leaves, max depth = 5, train loss: 455.94669, in 0.002s
348s [21/200] 1 tree, 9 leaves, max depth = 6, train loss: 400.46137, in 0.002s
348s [22/200] 1 tree, 8 leaves, max depth = 5, train loss: 358.44767, in 0.002s
348s [23/200] 1 tree, 7 leaves, max depth = 6, train loss: 327.21380, in 0.002s
348s [24/200] 1 tree, 9 leaves, max depth = 6, train loss: 289.86683, in 0.003s
348s [25/200] 1 tree, 8 leaves, max depth = 5, train loss: 257.89097, in 0.002s
348s [26/200] 1 tree, 8 leaves, max depth = 5, train loss: 229.66061, in 0.002s
348s [27/200] 1 tree, 8 leaves, max depth = 5, train loss: 204.62325, in 0.002s
348s [28/200] 1 tree, 9 leaves, max depth = 6, train loss: 183.73895, in 0.002s
348s [29/200] 1 tree, 8 leaves, max depth = 5, train loss: 167.83260, in 0.002s
348s [30/200] 1 tree, 9 leaves, max depth = 5, train loss: 148.88201, in 0.002s
348s [31/200] 1 tree, 8 leaves, max depth = 6, train loss: 136.48351, in 0.002s
348s [32/200] 1 tree, 9 leaves, max depth = 6, train loss: 124.09916, in 0.002s
348s [33/200] 1 tree, 9 leaves, max depth = 7, train loss: 112.90556, in 0.002s
348s [34/200] 1 tree, 8 leaves, max depth = 5, train loss: 102.95064, in 0.002s
348s [35/200] 1 tree, 8 leaves, max depth = 5, train loss: 94.96040, in 0.002s
348s [36/200] 1 tree, 8 leaves, max depth = 7, train loss: 88.42759, in 0.002s
348s [37/200] 1 tree, 9 leaves, max depth = 6, train loss: 81.92035, in 0.002s
348s [38/200] 1 tree, 8 leaves, max depth = 7, train loss: 75.16494, in 0.002s
348s [39/200] 1 tree, 8 leaves, max depth = 5, train loss: 69.85329, in 0.002s
348s [40/200] 1 tree, 7 leaves, max depth = 4, train loss: 64.97179, in 0.002s
348s [41/200] 1 tree, 8 leaves, max depth = 6, train loss: 60.79667, in 0.002s
348s [42/200] 1 tree, 8 leaves, max depth = 6, train loss: 55.94598, in 0.002s
348s [43/200] 1 tree, 8 leaves, max depth = 7, train loss: 52.22785, in 0.002s
348s [44/200] 1 tree, 9 leaves, max depth = 6, train loss: 48.94168, in 0.002s
348s [45/200] 1 tree, 8 leaves, max depth = 7, train loss: 45.43650, in 0.002s
348s [46/200] 1 tree, 7 leaves, max depth = 6, train loss: 42.71680, in 0.002s
348s [47/200] 1 tree, 8 leaves, max depth = 6, train loss: 40.02809, in 0.002s
348s [48/200] 1 tree, 8 leaves, max depth = 7, train loss: 37.34457, in 0.002s
348s [49/200] 1 tree, 8 leaves, max depth = 7, train loss: 35.32862, in 0.002s
348s [50/200] 1 tree, 9 leaves, max depth = 7, train loss: 32.83382, in 0.002s
348s [51/200] 1 tree, 9 leaves, max depth = 7, train loss: 29.87939, in 0.002s
348s [52/200] 1 tree, 9 leaves, max depth = 7, train loss: 28.05129, in 0.002s
348s [53/200] 1 tree, 7 leaves, max depth = 5, train loss: 25.67089, in 0.002s
348s [54/200] 1 tree, 9 leaves, max depth = 8, train loss: 23.91045, in 0.002s
348s [55/200] 1 tree, 9 leaves, max depth = 6, train loss: 21.22589, in 0.002s
348s [56/200] 1 tree, 9 leaves, max depth = 7, train loss: 19.74145, in 0.002s
348s [57/200] 1 tree, 8 leaves, max depth = 6, train loss: 18.22193, in 0.002s
348s [58/200] 1 tree, 8 leaves, max depth = 6, train loss: 17.14279, in 0.002s
348s [59/200] 1 tree, 8 leaves, max depth = 7, train loss: 15.97937, in 0.002s
348s [60/200] 1 tree, 9 leaves, max depth = 6, train loss: 14.62931, in 0.002s
348s [61/200] 1 tree, 9 leaves, max depth = 7, train loss: 13.86051, in 0.002s
348s [62/200] 1 tree, 8 leaves, max depth = 7, train loss: 13.15163, in 0.002s
348s [63/200] 1 tree, 9 leaves, max depth = 7, train loss: 12.32850, in 0.002s
348s [64/200] 1 tree, 8 leaves, max depth = 7, train loss: 11.73763, in 0.002s
348s [65/200] 1 tree, 8 leaves, max depth = 7, train loss: 11.07477, in 0.002s
348s [66/200] 1 tree, 8 leaves, max depth = 7, train loss: 10.55925, in 0.002s
348s [67/200] 1 tree, 9 leaves, max depth = 7, train loss: 9.95723, in 0.002s
348s [68/200] 1 tree, 8 leaves, max depth = 7, train loss: 9.39244, in 0.002s
348s [69/200] 1 tree, 9 leaves, max depth = 8, train loss: 8.87446, in 0.002s
348s [70/200] 1 tree, 7 leaves, max depth = 6, train loss: 8.50197, in 0.002s
348s [71/200] 1 tree, 9 leaves, max depth = 8, train loss: 8.00788, in 0.002s
348s [72/200] 1 tree, 8 leaves, max depth = 6, train loss: 7.55450, in 0.002s
348s [73/200] 1 tree, 8 leaves, max depth = 6, train loss: 7.22184, in 0.002s
348s [74/200] 1 tree, 9 leaves, max depth = 7, train loss: 6.81160, in 0.002s
348s [75/200] 1 tree, 8 leaves, max depth = 7, train loss: 6.48362, in 0.002s
348s [76/200] 1 tree, 8 leaves, max depth = 6, train loss: 6.21601, in 0.002s
348s [77/200] 1 tree, 9 leaves, max depth = 7, train loss: 5.89657, in 0.002s
348s [78/200] 1 tree, 8 leaves, max depth = 6, train loss: 5.61620, in 0.002s
348s [79/200] 1 tree, 10 leaves, max depth = 8, train loss: 5.34067, in 0.002s
348s [80/200] 1 tree, 9 leaves, max depth = 7, train loss: 5.07802, in 0.002s
348s [81/200] 1 tree, 9 leaves, max depth = 7, train loss: 4.82004, in 0.002s
348s [82/200] 1 tree, 8 leaves, max depth = 6, train loss: 4.60681, in 0.002s
348s [83/200] 1 tree, 9 leaves, max depth = 7, train loss: 4.36715, in 0.002s
348s [84/200] 1 tree, 8 leaves, max depth = 7, train loss: 4.16724, in 0.002s
348s [85/200] 1 tree, 9 leaves, max depth = 6, train loss: 3.99960, in 0.002s
348s [86/200] 1 tree, 8 leaves, max depth = 7, train loss: 3.81145, in 0.003s
348s [87/200] 1 tree, 9 leaves, max depth = 7, train loss: 3.63466, in 0.002s
348s [88/200] 1 tree, 9 leaves, max depth = 7, train loss: 3.46476, in 0.002s
348s [89/200] 1 tree, 9 leaves, max depth = 6, train loss: 3.27987, in 0.002s
348s [90/200] 1 tree, 9 leaves, max depth = 8, train loss: 3.13276, in 0.002s
348s [91/200] 1 tree, 9 leaves, max depth = 7, train loss: 3.01203, in 0.002s
348s [92/200] 1 tree, 8 leaves, max depth = 7, train loss: 2.88153, in 0.002s
348s [93/200] 1 tree, 8 leaves, max depth = 6, train loss: 2.76891, in 0.002s
348s [94/200] 1 tree, 8 leaves, max depth = 7, train loss: 2.64709, in 0.002s
348s [95/200] 1 tree, 9 leaves, max depth = 7, train loss: 2.52717, in 0.002s
348s [96/200] 1 tree, 9 leaves, max depth = 7, train loss: 2.41469, in 0.002s
348s [97/200] 1 tree, 9 leaves, max depth = 7, train loss: 2.31173, in 0.002s
348s [98/200] 1 tree, 8 leaves, max depth = 7, train loss: 2.21605, in 0.002s
348s [99/200] 1 tree, 9 leaves, max depth = 7, train loss: 2.11831, in 0.002s
348s [100/200] 1 tree, 9 leaves, max depth = 6, train loss: 2.01748, in 0.002s
348s [101/200] 1 tree, 8 leaves, max depth = 6, train loss: 1.93955, in 0.002s
348s [102/200] 1 tree, 9 leaves, max depth = 7, train loss: 1.85858, in 0.002s
348s [103/200] 1 tree, 9 leaves, max depth = 7, train loss: 1.77933, in 0.002s
348s [104/200] 1 tree, 8 leaves, max depth = 7, train loss: 1.70412, in 0.002s
348s [105/200] 1 tree, 8 leaves, max depth = 6, train loss: 1.63435, in 0.002s
348s [106/200] 1 tree, 8 leaves, max depth = 7, train loss: 1.56619, in 0.002s
348s [107/200] 1 tree, 9 leaves, max depth = 8, train loss: 1.50118, in 0.002s
348s [108/200] 1 tree, 8 leaves, max depth = 7, train loss: 1.44006, in 0.002s
348s [109/200] 1 tree, 8 leaves, max depth = 5, train loss: 1.38619, in 0.002s
348s [110/200] 1 tree, 9 leaves, max depth = 7, train loss: 1.32874, in 0.002s
348s [111/200] 1 tree, 9 leaves, max depth = 7, train loss: 1.27452, in 0.002s
348s [112/200] 1 tree, 8 leaves, max depth = 6, train loss: 1.22665, in 0.002s
348s [113/200] 1 tree, 9 leaves, max depth = 8, train loss: 1.17508, in 0.002s
348s [114/200] 1 tree, 8 leaves, max depth = 7, train loss: 1.12579, in 0.002s
348s [115/200] 1 tree, 8 leaves, max depth = 7, train loss: 1.08119, in 0.002s
348s [116/200] 1 tree, 9 leaves, max depth = 7, train loss: 1.03657, in 0.002s
348s [117/200] 1 tree, 8 leaves, max depth = 7, train loss: 0.99556, in 0.002s
348s [118/200] 1 tree, 9 leaves, max depth = 7, train loss: 0.95551, in 0.002s
348s [119/200] 1 tree, 9 leaves, max depth = 7, train loss: 0.91712, in 0.002s
348s [120/200] 1 tree, 8 leaves, max depth = 6, train loss: 0.87809, in 0.002s
348s [121/200] 1 tree, 8 leaves, max depth = 5, train loss: 0.84616, in 0.002s
348s [122/200] 1 tree, 8 leaves, max depth = 6, train loss: 0.81253, in 0.002s
348s [123/200] 1 tree, 8 leaves, max depth = 7, train loss: 0.78068, in 0.002s
348s [124/200] 1 tree, 8 leaves, max depth = 5, train loss: 0.75116, in 0.002s
348s [125/200] 1 tree, 9 leaves, max depth = 8, train loss: 0.72143, in 0.002s
348s [126/200] 1 tree, 9 leaves, max depth = 8, train loss: 0.69287, in 0.011s
348s [127/200] 1 tree, 8 leaves, max depth = 7, train loss: 0.66556, in 0.002s
348s [128/200] 1 tree, 8 leaves, max depth = 7, train loss: 0.63896, in 0.002s
348s [129/200] 1 tree, 8 leaves, max depth = 6, train loss: 0.61392, in 0.002s
348s [130/200] 1 tree, 8 leaves, max depth = 7, train loss: 0.58913, in 0.002s
348s [131/200] 1 tree, 9 leaves, max depth = 7, train loss: 0.56601, in 0.002s
348s [132/200] 1 tree, 10 leaves, max depth = 8, train loss: 0.54426, in 0.002s
348s [133/200] 1 tree, 9 leaves, max depth = 8, train loss: 0.52331, in 0.002s
348s [134/200] 1 tree, 7 leaves, max depth = 5, train loss: 0.50401, in 0.002s
348s [135/200] 1 tree, 9 leaves, max depth = 7, train loss: 0.48411, in 0.002s
348s [136/200] 1 tree, 8 leaves, max depth = 7, train loss: 0.46525, in 0.002s
348s [137/200] 1 tree, 8 leaves, max depth = 6, train loss: 0.44739, in 0.002s
348s Fit 137 trees in 0.302 s, (1140 total leaves)
348s Time spent computing histograms: 0.098s
348s Time spent finding best splits:  0.065s
348s Time spent applying splits:      0.029s
348s Time spent predicting:           0.004s
348s PASSED
348s ../../../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: 0.005 s
348s Fitting gradient boosted rounds:
348s [1/200] 1 tree, 8 leaves, max depth = 4, in 0.002s
348s [2/200] 1 tree, 8 leaves, max depth = 4, in 0.002s
348s [3/200] 1 tree, 8 leaves, max depth = 4, in 0.002s
348s [4/200] 1 tree, 8 leaves, max depth = 4, in 0.002s
348s [5/200] 1 tree, 8 leaves, max depth = 4, in 0.002s
348s [6/200] 1 tree, 7 leaves, max depth = 4, in 0.002s
348s [7/200] 1 tree, 7 leaves, max depth = 5, in 0.002s
348s [8/200] 1 tree, 8 leaves, max depth = 4, in 0.002s
348s [9/200] 1 tree, 7 leaves, max depth = 5, in 0.002s
348s [10/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
348s [11/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
348s [12/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
348s [13/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
348s [14/200] 1 tree, 8 leaves, max depth = 4, in 0.002s
348s [15/200] 1 tree, 7 leaves, max depth = 5, in 0.002s
348s [16/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
348s [17/200] 1 tree, 8 leaves, max depth = 4, in 0.002s
348s [18/200] 1 tree, 7 leaves, max depth = 5, in 0.002s
348s [19/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
348s [20/200] 1 tree, 9 leaves, max depth = 5, in 0.002s
348s [21/200] 1 tree, 9 leaves, max depth = 6, in 0.002s
348s [22/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
348s [23/200] 1 tree, 7 leaves, max depth = 6, in 0.002s
348s [24/200] 1 tree, 9 leaves, max depth = 6, in 0.002s
348s [25/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
348s [26/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
348s [27/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
348s [28/200] 1 tree, 9 leaves, max depth = 6, in 0.002s
348s [29/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
348s [30/200] 1 tree, 9 leaves, max depth = 5, in 0.002s
348s [31/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
348s [32/200] 1 tree, 9 leaves, max depth = 6, in 0.002s
348s [33/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
348s [34/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
348s [35/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
348s [36/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
348s [37/200] 1 tree, 9 leaves, max depth = 6, in 0.002s
348s [38/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
348s [39/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
348s [40/200] 1 tree, 7 leaves, max depth = 4, in 0.002s
348s [41/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
348s [42/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
348s [43/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
348s [44/200] 1 tree, 9 leaves, max depth = 6, in 0.002s
348s [45/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
348s [46/200] 1 tree, 7 leaves, max depth = 6, in 0.002s
348s [47/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
348s [48/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
348s [49/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
348s [50/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
348s [51/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
348s [52/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
348s [53/200] 1 tree, 7 leaves, max depth = 5, in 0.002s
348s [54/200] 1 tree, 9 leaves, max depth = 8, in 0.002s
348s [55/200] 1 tree, 9 leaves, max depth = 6, in 0.002s
348s [56/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
348s [57/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
348s [58/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
348s [59/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
348s [60/200] 1 tree, 9 leaves, max depth = 6, in 0.002s
348s [61/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
348s [62/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
348s [63/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
348s [64/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
348s [65/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
348s [66/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
348s [67/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
348s [68/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
348s [69/200] 1 tree, 9 leaves, max depth = 8, in 0.002s
348s [70/200] 1 tree, 7 leaves, max depth = 6, in 0.002s
348s [71/200] 1 tree, 9 leaves, max depth = 8, in 0.002s
348s [72/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
348s [73/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
348s [74/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
348s [75/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
348s [76/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
348s [77/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
348s [78/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
348s [79/200] 1 tree, 10 leaves, max depth = 8, in 0.002s
348s [80/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
348s [81/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
348s [82/200] 1 tree, 8 leaves, max depth = 6, in 0.003s
348s [83/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
348s [84/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
348s [85/200] 1 tree, 9 leaves, max depth = 6, in 0.002s
348s [86/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
348s [87/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
348s [88/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
348s [89/200] 1 tree, 9 leaves, max depth = 6, in 0.002s
348s [90/200] 1 tree, 9 leaves, max depth = 8, in 0.002s
348s [91/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
348s [92/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
348s [93/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
348s [94/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
348s [95/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
348s [96/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
348s [97/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
348s [98/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
348s [99/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
348s [100/200] 1 tree, 9 leaves, max depth = 6, in 0.002s
348s [101/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
348s [102/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
348s [103/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
348s [104/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
348s [105/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
348s [106/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
348s [107/200] 1 tree, 9 leaves, max depth = 8, in 0.002s
348s [108/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
348s [109/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
348s [110/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
348s [111/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
348s [112/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
348s [113/200] 1 tree, 9 leaves, max depth = 8, in 0.002s
348s [114/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
348s [115/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
348s [116/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
348s [117/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
348s [118/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
348s [119/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
348s [120/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
348s [121/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
348s [122/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
348s [123/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
348s [124/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
348s [125/200] 1 tree, 9 leaves, max depth = 8, in 0.002s
348s [126/200] 1 tree, 9 leaves, max depth = 8, in 0.002s
348s [127/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
348s [128/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
348s [129/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
348s [130/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
348s [131/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
348s [132/200] 1 tree, 10 leaves, max depth = 8, in 0.002s
348s [133/200] 1 tree, 9 leaves, max depth = 8, in 0.002s
348s [134/200] 1 tree, 7 leaves, max depth = 5, in 0.002s
348s [135/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
348s [136/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
348s [137/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
348s [138/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
348s [139/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
348s [140/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
348s [141/200] 1 tree, 7 leaves, max depth = 6, in 0.002s
348s [142/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
348s [143/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
348s [144/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
348s [145/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
348s [146/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
348s [147/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
348s [148/200] 1 tree, 9 leaves, max depth = 5, in 0.002s
348s [149/200] 1 tree, 7 leaves, max depth = 5, in 0.002s
348s [150/200] 1 tree, 9 leaves, max depth = 6, in 0.002s
348s [151/200] 1 tree, 9 leaves, max depth = 8, in 0.002s
348s [152/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
348s [153/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
348s [154/200] 1 tree, 9 leaves, max depth = 6, in 0.002s
349s [155/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
349s [156/200] 1 tree, 9 leaves, max depth = 6, in 0.002s
349s [157/200] 1 tree, 9 leaves, max depth = 8, in 0.002s
349s [158/200] 1 tree, 9 leaves, max depth = 5, in 0.002s
349s [159/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
349s [160/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
349s [161/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
349s [162/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
349s [163/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
349s [164/200] 1 tree, 9 leaves, max depth = 7, in 0.002s
349s [165/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
349s [166/200] 1 tree, 9 leaves, max depth = 6, in 0.002s
349s [167/200] 1 tree, 9 leaves, max depth = 5, in 0.002s
349s [168/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
349s [169/200] 1 tree, 9 leaves, max depth = 5, in 0.002s
349s [170/200] 1 tree, 8 leaves, max depth = 4, in 0.002s
349s [171/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
349s [172/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
349s [173/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
349s [174/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
349s [175/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
349s [176/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
349s [177/200] 1 tree, 7 leaves, max depth = 5, in 0.002s
349s [178/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
349s [179/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
349s [180/200] 1 tree, 9 leaves, max depth = 6, in 0.002s
349s [181/200] 1 tree, 9 leaves, max depth = 5, in 0.002s
349s [182/200] 1 tree, 9 leaves, max depth = 6, in 0.002s
349s [183/200] 1 tree, 8 leaves, max depth = 7, in 0.002s
349s [184/200] 1 tree, 7 leaves, max depth = 5, in 0.002s
349s [185/200] 1 tree, 9 leaves, max depth = 5, in 0.002s
349s [186/200] 1 tree, 9 leaves, max depth = 6, in 0.002s
349s [187/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
349s [188/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
349s [189/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
349s [190/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
349s [191/200] 1 tree, 9 leaves, max depth = 6, in 0.002s
349s [192/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
349s [193/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
349s [194/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
349s [195/200] 1 tree, 9 leaves, max depth = 5, in 0.002s
349s [196/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
349s [197/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
349s [198/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
349s [199/200] 1 tree, 8 leaves, max depth = 5, in 0.002s
349s [200/200] 1 tree, 8 leaves, max depth = 6, in 0.002s
349s Fit 200 trees in 0.389 s, (1663 total leaves)
349s Time spent computing histograms: 0.138s
349s Time spent finding best splits:  0.079s
349s Time spent applying splits:      0.039s
349s Time spent predicting:           0.005s
349s PASSED
349s ../../../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: 0.001 s
349s Binning 0.000 GB of validation data: 0.000 s
349s Fitting gradient boosted rounds:
349s [1/50] 1 tree, 3 leaves, max depth = 2, train score: 0.96296, val score: 1.00000, in 0.002s
349s [2/50] 1 tree, 3 leaves, max depth = 2, train score: 0.96296, val score: 1.00000, in 0.002s
349s [3/50] 1 tree, 3 leaves, max depth = 2, train score: 0.96296, val score: 1.00000, in 0.002s
349s [4/50] 1 tree, 3 leaves, max depth = 2, train score: 0.96296, val score: 1.00000, in 0.002s
349s [5/50] 1 tree, 3 leaves, max depth = 2, train score: 0.96296, val score: 1.00000, in 0.002s
349s [6/50] 1 tree, 3 leaves, max depth = 2, train score: 0.96296, val score: 1.00000, in 0.002s
349s Fit 6 trees in 0.015 s, (18 total leaves)
349s Time spent computing histograms: 0.000s
349s Time spent finding best splits:  0.000s
349s Time spent applying splits:      0.000s
349s Time spent predicting:           0.000s
349s PASSED
349s ../../../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: 0.001 s
349s Binning 0.000 GB of validation data: 0.000 s
349s Fitting gradient boosted rounds:
349s [1/50] 3 trees, 8 leaves (2 on avg), max depth = 2, train score: 1.00000, val score: 0.33333, in 0.003s
349s [2/50] 3 trees, 13 leaves (4 on avg), max depth = 3, train score: 1.00000, val score: 0.66667, in 0.003s
349s [3/50] 3 trees, 13 leaves (4 on avg), max depth = 3, train score: 1.00000, val score: 0.66667, in 0.003s
349s [4/50] 3 trees, 12 leaves (4 on avg), max depth = 3, train score: 1.00000, val score: 0.66667, in 0.003s
349s [5/50] 3 trees, 12 leaves (4 on avg), max depth = 3, train score: 1.00000, val score: 0.66667, in 0.003s
349s [6/50] 3 trees, 12 leaves (4 on avg), max depth = 3, train score: 1.00000, val score: 0.66667, in 0.003s
349s [7/50] 3 trees, 12 leaves (4 on avg), max depth = 3, train score: 1.00000, val score: 0.66667, in 0.003s
349s Fit 21 trees in 0.026 s, (82 total leaves)
349s Time spent computing histograms: 0.002s
349s Time spent finding best splits:  0.001s
349s Time spent applying splits:      0.002s
349s Time spent predicting:           0.000s
349s PASSED
349s ../../../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: 0.001 s
349s Fitting gradient boosted rounds:
349s [1/50] 1 tree, 3 leaves, max depth = 2, train score: 0.96667, in 0.001s
349s [2/50] 1 tree, 4 leaves, max depth = 3, train score: 0.96667, in 0.001s
349s [3/50] 1 tree, 4 leaves, max depth = 3, train score: 0.96667, in 0.001s
349s [4/50] 1 tree, 4 leaves, max depth = 3, train score: 0.96667, in 0.001s
349s [5/50] 1 tree, 4 leaves, max depth = 3, train score: 0.96667, in 0.001s
349s [6/50] 1 tree, 4 leaves, max depth = 3, train score: 0.96667, in 0.001s
349s Fit 6 trees in 0.011 s, (23 total leaves)
349s Time spent computing histograms: 0.001s
349s Time spent finding best splits:  0.000s
349s Time spent applying splits:      0.000s
349s Time spent predicting:           0.000s
349s PASSED
349s ../../../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: 0.001 s
349s Fitting gradient boosted rounds:
349s [1/50] 3 trees, 9 leaves (3 on avg), max depth = 2, train score: 0.96667, in 0.002s
349s [2/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train score: 1.00000, in 0.003s
349s [3/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train score: 1.00000, in 0.003s
349s [4/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train score: 1.00000, in 0.003s
349s [5/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train score: 1.00000, in 0.003s
349s [6/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train score: 1.00000, in 0.003s
349s Fit 18 trees in 0.019 s, (84 total leaves)
349s Time spent computing histograms: 0.002s
349s Time spent finding best splits:  0.001s
349s Time spent applying splits:      0.002s
349s Time spent predicting:           0.000s
349s PASSED
349s ../../../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
349s Binning 0.000 GB of validation data: 0.000 s
349s Fitting gradient boosted rounds:
349s [1/50] 1 tree, 3 leaves, max depth = 2, train score: 0.96296, val score: 1.00000, in 0.001s
349s [2/50] 1 tree, 3 leaves, max depth = 2, train score: 0.96296, val score: 1.00000, in 0.001s
349s [3/50] 1 tree, 3 leaves, max depth = 2, train score: 0.96296, val score: 1.00000, in 0.002s
349s [4/50] 1 tree, 3 leaves, max depth = 2, train score: 0.96296, val score: 1.00000, in 0.002s
349s [5/50] 1 tree, 3 leaves, max depth = 2, train score: 0.96296, val score: 1.00000, in 0.002s
349s [6/50] 1 tree, 3 leaves, max depth = 2, train score: 0.96296, val score: 1.00000, in 0.002s
349s Fit 6 trees in 0.014 s, (18 total leaves)
349s Time spent computing histograms: 0.000s
349s Time spent finding best splits:  0.000s
349s Time spent applying splits:      0.000s
349s Time spent predicting:           0.000s
349s PASSED
349s ../../../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: 0.001 s
349s Binning 0.000 GB of validation data: 0.000 s
349s Fitting gradient boosted rounds:
349s [1/50] 3 trees, 8 leaves (2 on avg), max depth = 2, train score: 1.00000, val score: 0.33333, in 0.002s
349s [2/50] 3 trees, 13 leaves (4 on avg), max depth = 3, train score: 1.00000, val score: 0.66667, in 0.003s
349s [3/50] 3 trees, 13 leaves (4 on avg), max depth = 3, train score: 1.00000, val score: 0.66667, in 0.003s
349s [4/50] 3 trees, 12 leaves (4 on avg), max depth = 3, train score: 1.00000, val score: 0.66667, in 0.003s
349s [5/50] 3 trees, 12 leaves (4 on avg), max depth = 3, train score: 1.00000, val score: 0.66667, in 0.003s
349s [6/50] 3 trees, 12 leaves (4 on avg), max depth = 3, train score: 1.00000, val score: 0.66667, in 0.003s
349s [7/50] 3 trees, 12 leaves (4 on avg), max depth = 3, train score: 1.00000, val score: 0.66667, in 0.004s
349s Fit 21 trees in 0.026 s, (82 total leaves)
349s Time spent computing histograms: 0.002s
349s Time spent finding best splits:  0.001s
349s Time spent applying splits:      0.002s
349s Time spent predicting:           0.000s
349s PASSED
349s ../../../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
349s Fitting gradient boosted rounds:
349s [1/50] 1 tree, 3 leaves, max depth = 2, train score: 0.96667, in 0.001s
349s [2/50] 1 tree, 4 leaves, max depth = 3, train score: 0.96667, in 0.001s
349s [3/50] 1 tree, 4 leaves, max depth = 3, train score: 0.96667, in 0.001s
349s [4/50] 1 tree, 4 leaves, max depth = 3, train score: 0.96667, in 0.001s
349s [5/50] 1 tree, 4 leaves, max depth = 3, train score: 0.96667, in 0.001s
349s [6/50] 1 tree, 4 leaves, max depth = 3, train score: 0.96667, in 0.001s
349s Fit 6 trees in 0.011 s, (23 total leaves)
349s Time spent computing histograms: 0.001s
349s Time spent finding best splits:  0.000s
349s Time spent applying splits:      0.001s
349s Time spent predicting:           0.000s
349s PASSED
349s ../../../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: 0.001 s
349s Fitting gradient boosted rounds:
349s [1/50] 3 trees, 9 leaves (3 on avg), max depth = 2, train score: 0.96667, in 0.002s
349s [2/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train score: 1.00000, in 0.003s
349s [3/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train score: 1.00000, in 0.003s
349s [4/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train score: 1.00000, in 0.003s
349s [5/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train score: 1.00000, in 0.003s
349s [6/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train score: 1.00000, in 0.003s
349s Fit 18 trees in 0.020 s, (84 total leaves)
349s Time spent computing histograms: 0.002s
349s Time spent finding best splits:  0.001s
349s Time spent applying splits:      0.002s
349s Time spent predicting:           0.000s
349s PASSED
349s ../../../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: 0.001 s
349s Binning 0.000 GB of validation data: 0.000 s
349s Fitting gradient boosted rounds:
349s [1/50] 1 tree, 3 leaves, max depth = 2, train loss: 0.60873, val loss: 0.62130, in 0.001s
349s [2/50] 1 tree, 3 leaves, max depth = 2, train loss: 0.53978, val loss: 0.53944, in 0.001s
349s [3/50] 1 tree, 3 leaves, max depth = 2, train loss: 0.48215, val loss: 0.48160, in 0.001s
349s [4/50] 1 tree, 3 leaves, max depth = 2, train loss: 0.43343, val loss: 0.44278, in 0.001s
349s [5/50] 1 tree, 3 leaves, max depth = 2, train loss: 0.39167, val loss: 0.41040, in 0.001s
349s [6/50] 1 tree, 3 leaves, max depth = 2, train loss: 0.35576, val loss: 0.37292, in 0.001s
349s [7/50] 1 tree, 3 leaves, max depth = 2, train loss: 0.32448, val loss: 0.34072, in 0.001s
349s [8/50] 1 tree, 3 leaves, max depth = 2, train loss: 0.29710, val loss: 0.31181, in 0.001s
349s [9/50] 1 tree, 3 leaves, max depth = 2, train loss: 0.27306, val loss: 0.27796, in 0.001s
349s [10/50] 1 tree, 3 leaves, max depth = 2, train loss: 0.25179, val loss: 0.25681, in 0.001s
349s [11/50] 1 tree, 3 leaves, max depth = 2, train loss: 0.23286, val loss: 0.23736, in 0.001s
349s [12/50] 1 tree, 3 leaves, max depth = 2, train loss: 0.21599, val loss: 0.22038, in 0.001s
349s [13/50] 1 tree, 3 leaves, max depth = 2, train loss: 0.20080, val loss: 0.19744, in 0.001s
349s [14/50] 1 tree, 3 leaves, max depth = 2, train loss: 0.18714, val loss: 0.18478, in 0.001s
349s [15/50] 1 tree, 3 leaves, max depth = 2, train loss: 0.17474, val loss: 0.17297, in 0.001s
349s [16/50] 1 tree, 3 leaves, max depth = 2, train loss: 0.16349, val loss: 0.17038, in 0.001s
349s [17/50] 1 tree, 3 leaves, max depth = 2, train loss: 0.15320, val loss: 0.16098, in 0.001s
349s [18/50] 1 tree, 3 leaves, max depth = 2, train loss: 0.14376, val loss: 0.16048, in 0.001s
349s [19/50] 1 tree, 3 leaves, max depth = 2, train loss: 0.13511, val loss: 0.16081, in 0.001s
349s [20/50] 1 tree, 3 leaves, max depth = 2, train loss: 0.12714, val loss: 0.15315, in 0.001s
349s [21/50] 1 tree, 4 leaves, max depth = 3, train loss: 0.11553, val loss: 0.13807, in 0.001s
349s [22/50] 1 tree, 5 leaves, max depth = 3, train loss: 0.10516, val loss: 0.12451, in 0.001s
349s [23/50] 1 tree, 5 leaves, max depth = 3, train loss: 0.09575, val loss: 0.11192, in 0.001s
349s [24/50] 1 tree, 5 leaves, max depth = 3, train loss: 0.08727, val loss: 0.11167, in 0.001s
349s [25/50] 1 tree, 5 leaves, max depth = 3, train loss: 0.07967, val loss: 0.10090, in 0.001s
349s [26/50] 1 tree, 5 leaves, max depth = 3, train loss: 0.07283, val loss: 0.09117, in 0.001s
349s [27/50] 1 tree, 5 leaves, max depth = 3, train loss: 0.06660, val loss: 0.08232, in 0.001s
349s [28/50] 1 tree, 5 leaves, max depth = 3, train loss: 0.06096, val loss: 0.08250, in 0.001s
349s [29/50] 1 tree, 5 leaves, max depth = 3, train loss: 0.05587, val loss: 0.07466, in 0.001s
349s [30/50] 1 tree, 5 leaves, max depth = 3, train loss: 0.05127, val loss: 0.06755, in 0.001s
349s [31/50] 1 tree, 5 leaves, max depth = 3, train loss: 0.04705, val loss: 0.06106, in 0.001s
349s [32/50] 1 tree, 5 leaves, max depth = 3, train loss: 0.04268, val loss: 0.05881, in 0.001s
349s [33/50] 1 tree, 5 leaves, max depth = 3, train loss: 0.03920, val loss: 0.05909, in 0.001s
349s [34/50] 1 tree, 5 leaves, max depth = 3, train loss: 0.03560, val loss: 0.06285, in 0.001s
349s [35/50] 1 tree, 5 leaves, max depth = 3, train loss: 0.03239, val loss: 0.06712, in 0.001s
349s [36/50] 1 tree, 5 leaves, max depth = 3, train loss: 0.02950, val loss: 0.06272, in 0.001s
349s [37/50] 1 tree, 4 leaves, max depth = 3, train loss: 0.02658, val loss: 0.06029, in 0.001s
349s Fit 37 trees in 0.031 s, (143 total leaves)
349s Time spent computing histograms: 0.003s
349s Time spent finding best splits:  0.002s
349s Time spent applying splits:      0.003s
349s Time spent predicting:           0.001s
349s PASSED
349s ../../../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: 0.001 s
349s Binning 0.000 GB of validation data: 0.000 s
349s Fitting gradient boosted rounds:
349s [1/50] 3 trees, 8 leaves (2 on avg), max depth = 2, train loss: 0.85294, val loss: 0.95727, in 0.001s
349s [2/50] 3 trees, 13 leaves (4 on avg), max depth = 3, train loss: 0.68073, val loss: 0.81510, in 0.002s
349s [3/50] 3 trees, 13 leaves (4 on avg), max depth = 3, train loss: 0.55230, val loss: 0.73033, in 0.002s
349s [4/50] 3 trees, 12 leaves (4 on avg), max depth = 3, train loss: 0.45297, val loss: 0.66873, in 0.002s
349s [5/50] 3 trees, 12 leaves (4 on avg), max depth = 3, train loss: 0.37499, val loss: 0.60477, in 0.002s
349s [6/50] 3 trees, 12 leaves (4 on avg), max depth = 3, train loss: 0.31234, val loss: 0.56982, in 0.002s
349s [7/50] 3 trees, 12 leaves (4 on avg), max depth = 3, train loss: 0.26168, val loss: 0.52591, in 0.002s
349s [8/50] 3 trees, 12 leaves (4 on avg), max depth = 3, train loss: 0.22017, val loss: 0.50497, in 0.002s
349s [9/50] 3 trees, 12 leaves (4 on avg), max depth = 3, train loss: 0.18594, val loss: 0.48864, in 0.002s
349s [10/50] 3 trees, 12 leaves (4 on avg), max depth = 3, train loss: 0.15759, val loss: 0.45880, in 0.002s
349s [11/50] 3 trees, 12 leaves (4 on avg), max depth = 3, train loss: 0.13386, val loss: 0.44842, in 0.002s
349s [12/50] 3 trees, 12 leaves (4 on avg), max depth = 3, train loss: 0.11405, val loss: 0.42390, in 0.002s
349s [13/50] 3 trees, 12 leaves (4 on avg), max depth = 3, train loss: 0.09732, val loss: 0.41717, in 0.002s
349s [14/50] 3 trees, 12 leaves (4 on avg), max depth = 3, train loss: 0.08326, val loss: 0.41176, in 0.002s
349s [15/50] 3 trees, 13 leaves (4 on avg), max depth = 4, train loss: 0.07057, val loss: 0.39226, in 0.002s
349s [16/50] 3 trees, 12 leaves (4 on avg), max depth = 3, train loss: 0.06046, val loss: 0.38856, in 0.002s
349s [17/50] 3 trees, 13 leaves (4 on avg), max depth = 3, train loss: 0.05055, val loss: 0.42217, in 0.002s
349s [18/50] 3 trees, 14 leaves (4 on avg), max depth = 3, train loss: 0.04206, val loss: 0.45976, in 0.002s
349s [19/50] 3 trees, 14 leaves (4 on avg), max depth = 3, train loss: 0.03523, val loss: 0.50052, in 0.002s
349s [20/50] 3 trees, 13 leaves (4 on avg), max depth = 4, train loss: 0.03001, val loss: 0.49857, in 0.002s
349s [21/50] 3 trees, 14 leaves (4 on avg), max depth = 3, train loss: 0.02517, val loss: 0.54268, in 0.002s
349s Fit 63 trees in 0.044 s, (259 total leaves)
349s Time spent computing histograms: 0.005s
349s Time spent finding best splits:  0.003s
349s Time spent applying splits:      0.005s
349s Time spent predicting:           0.001s
349s PASSED
349s ../../../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
349s Fitting gradient boosted rounds:
349s [1/50] 1 tree, 3 leaves, max depth = 2, train loss: 0.60827, in 0.001s
349s [2/50] 1 tree, 4 leaves, max depth = 3, train loss: 0.53845, in 0.001s
349s [3/50] 1 tree, 4 leaves, max depth = 3, train loss: 0.48003, in 0.001s
349s [4/50] 1 tree, 4 leaves, max depth = 3, train loss: 0.43064, in 0.001s
349s [5/50] 1 tree, 4 leaves, max depth = 3, train loss: 0.38837, in 0.001s
349s [6/50] 1 tree, 4 leaves, max depth = 3, train loss: 0.35190, in 0.001s
349s [7/50] 1 tree, 4 leaves, max depth = 3, train loss: 0.32019, in 0.001s
349s [8/50] 1 tree, 4 leaves, max depth = 3, train loss: 0.29244, in 0.001s
349s [9/50] 1 tree, 4 leaves, max depth = 3, train loss: 0.26803, in 0.001s
349s [10/50] 1 tree, 4 leaves, max depth = 3, train loss: 0.24645, in 0.001s
349s [11/50] 1 tree, 4 leaves, max depth = 3, train loss: 0.22725, in 0.001s
349s [12/50] 1 tree, 4 leaves, max depth = 3, train loss: 0.21009, in 0.001s
349s [13/50] 1 tree, 4 leaves, max depth = 3, train loss: 0.19465, in 0.001s
349s Fit 13 trees in 0.013 s, (51 total leaves)
349s Time spent computing histograms: 0.001s
349s Time spent finding best splits:  0.001s
349s Time spent applying splits:      0.001s
349s Time spent predicting:           0.000s
349s PASSED
349s ../../../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: 0.001 s
349s Fitting gradient boosted rounds:
349s [1/50] 3 trees, 9 leaves (3 on avg), max depth = 2, train loss: 0.86534, in 0.002s
349s [2/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train loss: 0.69970, in 0.002s
349s [3/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train loss: 0.57532, in 0.002s
349s [4/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train loss: 0.47824, in 0.002s
349s [5/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train loss: 0.40120, in 0.002s
349s [6/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train loss: 0.33889, in 0.002s
349s [7/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train loss: 0.28811, in 0.002s
349s [8/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train loss: 0.24613, in 0.002s
349s [9/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train loss: 0.21127, in 0.002s
349s [10/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train loss: 0.18188, in 0.002s
349s [11/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train loss: 0.15714, in 0.002s
349s [12/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train loss: 0.13606, in 0.002s
349s [13/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train loss: 0.11815, in 0.002s
349s [14/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train loss: 0.10278, in 0.002s
349s [15/50] 3 trees, 15 leaves (5 on avg), max depth = 3, train loss: 0.08963, in 0.002s
349s Fit 45 trees in 0.034 s, (219 total leaves)
349s Time spent computing histograms: 0.004s
349s Time spent finding best splits:  0.002s
349s Time spent applying splits:      0.005s
349s Time spent predicting:           0.001s
349s PASSED
349s ../../../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: 0.001 s
349s Fitting gradient boosted rounds:
349s [1/50] 1 tree, 3 leaves, max depth = 2, in 0.001s
349s [2/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
349s [3/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
349s [4/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
349s [5/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
349s [6/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
349s [7/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
349s [8/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
349s [9/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
349s [10/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
349s [11/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
349s [12/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
349s [13/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
349s [14/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
349s [15/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
349s [16/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
349s [17/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
349s [18/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
349s [19/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
349s [20/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
349s [21/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
349s [22/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
349s [23/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
349s [24/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
349s [25/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
349s [26/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
349s [27/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
349s [28/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
349s [29/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
349s [30/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
349s [31/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
349s [32/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
349s [33/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
349s [34/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
349s [35/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
349s [36/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
349s [37/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
349s [38/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
349s [39/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
349s [40/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
349s [41/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
349s [42/50] 1 tree, 4 leaves, max depth = 3, in 0.001s
349s [43/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
349s [44/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
349s [45/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
349s [46/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
349s [47/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
349s [48/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
349s [49/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
349s [50/50] 1 tree, 5 leaves, max depth = 3, in 0.001s
349s Fit 50 trees in 0.039 s, (224 total leaves)
349s Time spent computing histograms: 0.005s
349s Time spent finding best splits:  0.003s
349s Time spent applying splits:      0.005s
349s Time spent predicting:           0.001s
349s PASSED
349s ../../../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: 0.001 s
349s Fitting gradient boosted rounds:
349s [1/50] 3 trees, 9 leaves (3 on avg), max depth = 2, in 0.001s
349s [2/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
349s [3/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
349s [4/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
349s [5/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
349s [6/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
349s [7/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
349s [8/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
349s [9/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
349s [10/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
349s [11/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
349s [12/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
349s [13/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
349s [14/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
349s [15/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
349s [16/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
349s [17/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
349s [18/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
349s [19/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
349s [20/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
349s [21/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
349s [22/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
349s [23/50] 3 trees, 16 leaves (5 on avg), max depth = 4, in 0.002s
349s [24/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
349s [25/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
349s [26/50] 3 trees, 16 leaves (5 on avg), max depth = 4, in 0.002s
349s [27/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
349s [28/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
349s [29/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
349s [30/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
349s [31/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
349s [32/50] 3 trees, 16 leaves (5 on avg), max depth = 4, in 0.002s
349s [33/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
349s [34/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
349s [35/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
349s [36/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
349s [37/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
349s [38/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
349s [39/50] 3 trees, 16 leaves (5 on avg), max depth = 4, in 0.002s
349s [40/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
349s [41/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
349s [42/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
349s [43/50] 3 trees, 14 leaves (4 on avg), max depth = 3, in 0.002s
349s [44/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
349s [45/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
349s [46/50] 3 trees, 14 leaves (4 on avg), max depth = 3, in 0.002s
349s [47/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
349s [48/50] 3 trees, 14 leaves (4 on avg), max depth = 3, in 0.002s
349s [49/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
349s [50/50] 3 trees, 15 leaves (5 on avg), max depth = 3, in 0.002s
349s Fit 150 trees in 0.101 s, (745 total leaves)
349s Time spent computing histograms: 0.015s
349s Time spent finding best splits:  0.008s
349s Time spent applying splits:      0.016s
349s Time spent predicting:           0.004s
349s PASSED
349s ../../../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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386s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_unfitted_feature_importances[ExtraTreesClassifier] PASSED
386s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_unfitted_feature_importances[RandomForestClassifier] PASSED
386s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_unfitted_feature_importances[ExtraTreesRegressor] PASSED
386s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_unfitted_feature_importances[RandomForestRegressor] PASSED
386s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_unfitted_feature_importances[RandomTreesEmbedding] PASSED
386s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[True-X0-y0-0.9-array-ExtraTreesClassifier] PASSED
387s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[True-X0-y0-0.9-array-RandomForestClassifier] PASSED
387s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[True-X0-y0-0.9-sparse_csr-ExtraTreesClassifier] PASSED
387s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[True-X0-y0-0.9-sparse_csr-RandomForestClassifier] PASSED
387s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[True-X0-y0-0.9-sparse_csc-ExtraTreesClassifier] PASSED
387s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[True-X0-y0-0.9-sparse_csc-RandomForestClassifier] PASSED
387s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[True-X1-y1-0.65-array-ExtraTreesClassifier] PASSED
387s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[True-X1-y1-0.65-array-RandomForestClassifier] PASSED
387s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[True-X1-y1-0.65-sparse_csr-ExtraTreesClassifier] PASSED
388s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[True-X1-y1-0.65-sparse_csr-RandomForestClassifier] PASSED
388s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[True-X1-y1-0.65-sparse_csc-ExtraTreesClassifier] PASSED
388s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[True-X1-y1-0.65-sparse_csc-RandomForestClassifier] PASSED
388s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[True-X2-y2-0.65-array-ExtraTreesClassifier] PASSED
388s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[True-X2-y2-0.65-array-RandomForestClassifier] PASSED
388s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[True-X2-y2-0.65-sparse_csr-ExtraTreesClassifier] PASSED
389s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[True-X2-y2-0.65-sparse_csr-RandomForestClassifier] PASSED
389s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[True-X2-y2-0.65-sparse_csc-ExtraTreesClassifier] PASSED
389s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[True-X2-y2-0.65-sparse_csc-RandomForestClassifier] PASSED
389s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[True-X3-y3-0.18-array-ExtraTreesClassifier] PASSED
389s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[True-X3-y3-0.18-array-RandomForestClassifier] PASSED
389s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[True-X3-y3-0.18-sparse_csr-ExtraTreesClassifier] PASSED
389s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[True-X3-y3-0.18-sparse_csr-RandomForestClassifier] PASSED
389s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[True-X3-y3-0.18-sparse_csc-ExtraTreesClassifier] PASSED
389s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[True-X3-y3-0.18-sparse_csc-RandomForestClassifier] PASSED
390s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[oob_score1-X0-y0-0.9-array-ExtraTreesClassifier] PASSED
390s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[oob_score1-X0-y0-0.9-array-RandomForestClassifier] PASSED
390s ../../../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
390s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[oob_score1-X0-y0-0.9-sparse_csr-RandomForestClassifier] PASSED
390s ../../../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
390s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[oob_score1-X0-y0-0.9-sparse_csc-RandomForestClassifier] PASSED
390s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[oob_score1-X1-y1-0.65-array-ExtraTreesClassifier] PASSED
390s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[oob_score1-X1-y1-0.65-array-RandomForestClassifier] PASSED
391s ../../../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
391s ../../../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
391s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[oob_score1-X1-y1-0.65-sparse_csc-ExtraTreesClassifier] PASSED
391s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[oob_score1-X1-y1-0.65-sparse_csc-RandomForestClassifier] PASSED
391s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[oob_score1-X2-y2-0.65-array-ExtraTreesClassifier] PASSED
391s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[oob_score1-X2-y2-0.65-array-RandomForestClassifier] PASSED
392s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[oob_score1-X2-y2-0.65-sparse_csr-ExtraTreesClassifier] PASSED
392s ../../../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
392s ../../../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
392s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[oob_score1-X2-y2-0.65-sparse_csc-RandomForestClassifier] PASSED
392s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[oob_score1-X3-y3-0.18-array-ExtraTreesClassifier] PASSED
392s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[oob_score1-X3-y3-0.18-array-RandomForestClassifier] PASSED
392s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[oob_score1-X3-y3-0.18-sparse_csr-ExtraTreesClassifier] PASSED
393s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[oob_score1-X3-y3-0.18-sparse_csr-RandomForestClassifier] PASSED
393s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[oob_score1-X3-y3-0.18-sparse_csc-ExtraTreesClassifier] PASSED
393s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_classifier_oob[oob_score1-X3-y3-0.18-sparse_csc-RandomForestClassifier] PASSED
393s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_regressor_oob[True-X0-y0-0.7-array-ExtraTreesRegressor] PASSED
393s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_regressor_oob[True-X0-y0-0.7-array-RandomForestRegressor] PASSED
394s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_regressor_oob[True-X0-y0-0.7-sparse_csr-ExtraTreesRegressor] PASSED
394s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_regressor_oob[True-X0-y0-0.7-sparse_csr-RandomForestRegressor] PASSED
394s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_regressor_oob[True-X0-y0-0.7-sparse_csc-ExtraTreesRegressor] PASSED
395s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_regressor_oob[True-X0-y0-0.7-sparse_csc-RandomForestRegressor] PASSED
395s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_regressor_oob[True-X1-y1-0.55-array-ExtraTreesRegressor] PASSED
395s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_regressor_oob[True-X1-y1-0.55-array-RandomForestRegressor] PASSED
395s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_regressor_oob[True-X1-y1-0.55-sparse_csr-ExtraTreesRegressor] PASSED
396s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_regressor_oob[True-X1-y1-0.55-sparse_csr-RandomForestRegressor] PASSED
396s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_regressor_oob[True-X1-y1-0.55-sparse_csc-ExtraTreesRegressor] PASSED
396s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_regressor_oob[True-X1-y1-0.55-sparse_csc-RandomForestRegressor] PASSED
396s ../../../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
397s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_regressor_oob[explained_variance_score-X0-y0-0.7-array-RandomForestRegressor] PASSED
397s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_regressor_oob[explained_variance_score-X0-y0-0.7-sparse_csr-ExtraTreesRegressor] PASSED
397s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_regressor_oob[explained_variance_score-X0-y0-0.7-sparse_csr-RandomForestRegressor] PASSED
397s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_regressor_oob[explained_variance_score-X0-y0-0.7-sparse_csc-ExtraTreesRegressor] PASSED
398s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_regressor_oob[explained_variance_score-X0-y0-0.7-sparse_csc-RandomForestRegressor] PASSED
398s ../../../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
398s ../../../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
398s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_regressor_oob[explained_variance_score-X1-y1-0.55-sparse_csr-ExtraTreesRegressor] PASSED
399s ../../../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
399s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_regressor_oob[explained_variance_score-X1-y1-0.55-sparse_csc-ExtraTreesRegressor] PASSED
399s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_regressor_oob[explained_variance_score-X1-y1-0.55-sparse_csc-RandomForestRegressor] PASSED
399s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_oob_warning[ExtraTreesClassifier] PASSED
399s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_oob_warning[RandomForestClassifier] PASSED
399s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_oob_warning[ExtraTreesRegressor] PASSED
399s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_oob_warning[RandomForestRegressor] PASSED
399s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_oob_score_requires_bootstrap[ExtraTreesClassifier] PASSED
399s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_oob_score_requires_bootstrap[RandomForestClassifier] PASSED
399s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_oob_score_requires_bootstrap[ExtraTreesRegressor] PASSED
399s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_oob_score_requires_bootstrap[RandomForestRegressor] PASSED
400s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_classifier_error_oob_score_multiclass_multioutput[ExtraTreesClassifier] PASSED
400s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_classifier_error_oob_score_multiclass_multioutput[RandomForestClassifier] PASSED
400s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_multioutput_integral_regression_target[ExtraTreesRegressor] PASSED
401s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_multioutput_integral_regression_target[RandomForestRegressor] PASSED
401s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_random_trees_embedding_raise_error_oob[True] PASSED
401s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_random_trees_embedding_raise_error_oob[False] PASSED
401s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_gridsearch[ExtraTreesClassifier] PASSED
401s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_gridsearch[RandomForestClassifier] PASSED
401s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_parallel[ExtraTreesClassifier] PASSED
401s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_parallel[RandomForestClassifier] PASSED
401s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_parallel[ExtraTreesRegressor] PASSED
401s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_parallel[RandomForestRegressor] PASSED
401s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_pickle[ExtraTreesClassifier] PASSED
402s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_pickle[RandomForestClassifier] PASSED
402s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_pickle[ExtraTreesRegressor] PASSED
402s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_pickle[RandomForestRegressor] PASSED
402s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_multioutput[ExtraTreesClassifier] PASSED
403s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_multioutput[RandomForestClassifier] PASSED
403s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_multioutput[ExtraTreesRegressor] PASSED
403s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_multioutput[RandomForestRegressor] PASSED
403s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_multioutput_string[ExtraTreesClassifier] PASSED
403s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_multioutput_string[RandomForestClassifier] PASSED
403s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_classes_shape[ExtraTreesClassifier] PASSED
404s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_classes_shape[RandomForestClassifier] PASSED
404s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_random_trees_dense_type PASSED
404s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_random_trees_dense_equal PASSED
404s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_random_hasher PASSED
404s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_random_hasher_sparse_data[csc_matrix] PASSED
404s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_random_hasher_sparse_data[csc_array] PASSED
404s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_parallel_train PASSED
405s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_distribution PASSED
405s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_max_leaf_nodes_max_depth[ExtraTreesClassifier] PASSED
405s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_max_leaf_nodes_max_depth[RandomForestClassifier] PASSED
405s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_max_leaf_nodes_max_depth[ExtraTreesRegressor] PASSED
405s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_max_leaf_nodes_max_depth[RandomForestRegressor] PASSED
405s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_max_leaf_nodes_max_depth[RandomTreesEmbedding] PASSED
405s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_min_samples_split[ExtraTreesClassifier] PASSED
405s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_min_samples_split[RandomForestClassifier] PASSED
405s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_min_samples_split[ExtraTreesRegressor] PASSED
405s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_min_samples_split[RandomForestRegressor] PASSED
405s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_min_samples_split[RandomTreesEmbedding] PASSED
405s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_min_samples_leaf[ExtraTreesClassifier] PASSED
405s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_min_samples_leaf[RandomForestClassifier] PASSED
405s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_min_samples_leaf[ExtraTreesRegressor] PASSED
405s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_min_samples_leaf[RandomForestRegressor] PASSED
405s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_min_samples_leaf[RandomTreesEmbedding] PASSED
405s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_min_weight_fraction_leaf[ExtraTreesClassifier] PASSED
405s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_min_weight_fraction_leaf[RandomForestClassifier] PASSED
405s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_min_weight_fraction_leaf[ExtraTreesRegressor] PASSED
405s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_min_weight_fraction_leaf[RandomForestRegressor] PASSED
405s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_min_weight_fraction_leaf[RandomTreesEmbedding] PASSED
405s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[coo_matrix-ExtraTreesClassifier] PASSED
406s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[coo_matrix-RandomForestClassifier] PASSED
406s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[coo_matrix-ExtraTreesRegressor] PASSED
406s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[coo_matrix-RandomForestRegressor] PASSED
407s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[coo_matrix-RandomTreesEmbedding] PASSED
407s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[coo_array-ExtraTreesClassifier] PASSED
407s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[coo_array-RandomForestClassifier] PASSED
408s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[coo_array-ExtraTreesRegressor] PASSED
408s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[coo_array-RandomForestRegressor] PASSED
408s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[coo_array-RandomTreesEmbedding] PASSED
409s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[csc_matrix-ExtraTreesClassifier] PASSED
409s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[csc_matrix-RandomForestClassifier] PASSED
409s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[csc_matrix-ExtraTreesRegressor] PASSED
410s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[csc_matrix-RandomForestRegressor] PASSED
410s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[csc_matrix-RandomTreesEmbedding] PASSED
411s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[csc_array-ExtraTreesClassifier] PASSED
411s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[csc_array-RandomForestClassifier] PASSED
411s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[csc_array-ExtraTreesRegressor] PASSED
412s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[csc_array-RandomForestRegressor] PASSED
412s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[csc_array-RandomTreesEmbedding] PASSED
412s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[csr_matrix-ExtraTreesClassifier] PASSED
413s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[csr_matrix-RandomForestClassifier] PASSED
413s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[csr_matrix-ExtraTreesRegressor] PASSED
413s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[csr_matrix-RandomForestRegressor] PASSED
414s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[csr_matrix-RandomTreesEmbedding] PASSED
414s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[csr_array-ExtraTreesClassifier] PASSED
415s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[csr_array-RandomForestClassifier] PASSED
415s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[csr_array-ExtraTreesRegressor] PASSED
415s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[csr_array-RandomForestRegressor] PASSED
416s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_sparse_input[csr_array-RandomTreesEmbedding] PASSED
417s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_memory_layout[float64-ExtraTreesClassifier] PASSED
418s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_memory_layout[float64-RandomForestClassifier] PASSED
420s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_memory_layout[float64-ExtraTreesRegressor] PASSED
421s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_memory_layout[float64-RandomForestRegressor] PASSED
422s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_memory_layout[float32-ExtraTreesClassifier] PASSED
424s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_memory_layout[float32-RandomForestClassifier] PASSED
425s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_memory_layout[float32-ExtraTreesRegressor] PASSED
426s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_memory_layout[float32-RandomForestRegressor] PASSED
426s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_1d_input[ExtraTreesClassifier] PASSED
426s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_1d_input[RandomForestClassifier] PASSED
426s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_1d_input[ExtraTreesRegressor] PASSED
427s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_1d_input[RandomForestRegressor] PASSED
427s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_1d_input[RandomTreesEmbedding] PASSED
428s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_class_weights[ExtraTreesClassifier] PASSED
429s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_class_weights[RandomForestClassifier] PASSED
430s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_class_weight_balanced_and_bootstrap_multi_output[ExtraTreesClassifier] PASSED
430s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_class_weight_balanced_and_bootstrap_multi_output[RandomForestClassifier] PASSED
430s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_class_weight_errors[ExtraTreesClassifier] PASSED
430s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_class_weight_errors[RandomForestClassifier] PASSED
430s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start[ExtraTreesClassifier] PASSED
430s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start[RandomForestClassifier] PASSED
430s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start[ExtraTreesRegressor] PASSED
431s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start[RandomForestRegressor] PASSED
431s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start[RandomTreesEmbedding] PASSED
431s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start_clear[ExtraTreesClassifier] PASSED
431s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start_clear[RandomForestClassifier] PASSED
431s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start_clear[ExtraTreesRegressor] PASSED
431s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start_clear[RandomForestRegressor] PASSED
431s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start_clear[RandomTreesEmbedding] PASSED
431s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start_smaller_n_estimators[ExtraTreesClassifier] PASSED
431s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start_smaller_n_estimators[RandomForestClassifier] PASSED
431s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start_smaller_n_estimators[ExtraTreesRegressor] PASSED
431s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start_smaller_n_estimators[RandomForestRegressor] PASSED
431s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start_smaller_n_estimators[RandomTreesEmbedding] PASSED
431s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start_equal_n_estimators[ExtraTreesClassifier] PASSED
431s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start_equal_n_estimators[RandomForestClassifier] PASSED
431s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start_equal_n_estimators[ExtraTreesRegressor] PASSED
431s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start_equal_n_estimators[RandomForestRegressor] PASSED
431s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start_equal_n_estimators[RandomTreesEmbedding] PASSED
431s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start_oob[ExtraTreesClassifier] PASSED
431s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start_oob[RandomForestClassifier] PASSED
431s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start_oob[ExtraTreesRegressor] PASSED
431s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_warm_start_oob[RandomForestRegressor] PASSED
431s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_oob_not_computed_twice[ExtraTreesClassifier] PASSED
431s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_oob_not_computed_twice[RandomForestClassifier] PASSED
431s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_oob_not_computed_twice[ExtraTreesRegressor] PASSED
431s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_oob_not_computed_twice[RandomForestRegressor] PASSED
431s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_dtype_convert PASSED
431s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_decision_path[ExtraTreesClassifier] PASSED
431s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_decision_path[RandomForestClassifier] PASSED
431s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_decision_path[ExtraTreesRegressor] PASSED
431s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_decision_path[RandomForestRegressor] PASSED
432s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_min_impurity_decrease PASSED
432s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_poisson_y_positive_check PASSED
432s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_backend_respected SKIPPED
432s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_feature_importances_sum PASSED
432s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_degenerate_feature_importances PASSED
432s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_max_samples_bootstrap[ExtraTreesClassifier] PASSED
432s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_max_samples_bootstrap[RandomForestClassifier] PASSED
432s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_max_samples_bootstrap[ExtraTreesRegressor] PASSED
432s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_max_samples_bootstrap[RandomForestRegressor] PASSED
432s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_large_max_samples_exception[ExtraTreesClassifier] PASSED
432s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_large_max_samples_exception[RandomForestClassifier] PASSED
432s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_large_max_samples_exception[ExtraTreesRegressor] PASSED
432s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_large_max_samples_exception[RandomForestRegressor] PASSED
433s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_max_samples_boundary_regressors[ExtraTreesRegressor] PASSED
434s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_max_samples_boundary_regressors[RandomForestRegressor] PASSED
435s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_max_samples_boundary_classifiers[ExtraTreesClassifier] PASSED
435s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_max_samples_boundary_classifiers[RandomForestClassifier] PASSED
435s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_y_sparse[csr_matrix] PASSED
435s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_forest_y_sparse[csr_array] PASSED
435s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_little_tree_with_small_max_samples[RandomForestClassifier] PASSED
435s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_little_tree_with_small_max_samples[RandomForestRegressor] PASSED
435s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_mse_criterion_object_segfault_smoke_test[ExtraTreesRegressor] PASSED
435s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_mse_criterion_object_segfault_smoke_test[RandomForestRegressor] PASSED
435s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_random_trees_embedding_feature_names_out PASSED
436s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_read_only_buffer[csr_matrix] PASSED
436s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_read_only_buffer[csr_array] PASSED
436s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_round_samples_to_one_when_samples_too_low[balanced_subsample] PASSED
436s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_round_samples_to_one_when_samples_too_low[None] PASSED
436s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_estimators_samples[ExtraTreesClassifier-True-None] PASSED
436s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_estimators_samples[ExtraTreesClassifier-True-1] PASSED
436s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_estimators_samples[ExtraTreesClassifier-False-None] PASSED
436s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_estimators_samples[ExtraTreesClassifier-False-1] PASSED
436s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_estimators_samples[RandomForestClassifier-True-None] PASSED
436s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_estimators_samples[RandomForestClassifier-True-1] PASSED
436s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_estimators_samples[RandomForestClassifier-False-None] PASSED
436s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_estimators_samples[RandomForestClassifier-False-1] PASSED
436s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_estimators_samples[ExtraTreesRegressor-True-None] PASSED
437s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_estimators_samples[ExtraTreesRegressor-True-1] PASSED
437s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_estimators_samples[ExtraTreesRegressor-False-None] PASSED
437s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_estimators_samples[ExtraTreesRegressor-False-1] PASSED
437s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_estimators_samples[RandomForestRegressor-True-None] PASSED
437s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_estimators_samples[RandomForestRegressor-True-1] PASSED
437s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_estimators_samples[RandomForestRegressor-False-None] PASSED
437s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_estimators_samples[RandomForestRegressor-False-1] PASSED
438s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_missing_values_is_resilient[make_regression-RandomForestRegressor] PASSED
439s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_missing_values_is_resilient[make_classification-RandomForestClassifier] PASSED
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440s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py::test_missing_value_is_predictive[RandomForestRegressor] PASSED
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447s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_gradient_boosting.py::test_feature_importances[GradientBoostingRegressor-X0-y0] PASSED
447s ../../../usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_gradient_boosting.py::test_feature_importances[GradientBoostingClassifier-X1-y1] PASSED
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562s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_check_boundary_response_method[estimator8-response_method8-None-expected_prediction_method8] PASSED
562s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_multiclass_error[predict_proba] PASSED
562s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_multiclass_error[decision_function] PASSED
562s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_multiclass[auto] PASSED
562s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_multiclass[predict] PASSED
562s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_input_validation_errors[kwargs0-plot_method must be one of contourf, contour, pcolormesh. Got hello_world instead.] PASSED
562s ../../../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
562s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_input_validation_errors[kwargs2-grid_resolution must be greater than 1. Got -1 instead] PASSED
562s ../../../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
562s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_display_plot_input_error PASSED
562s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_decision_boundary_display_classifier[contourf-auto] PASSED
562s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_decision_boundary_display_classifier[contourf-predict] PASSED
563s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_decision_boundary_display_classifier[contourf-predict_proba] PASSED
563s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_decision_boundary_display_classifier[contourf-decision_function] PASSED
563s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_decision_boundary_display_classifier[contour-auto] PASSED
563s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_decision_boundary_display_classifier[contour-predict] PASSED
563s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_decision_boundary_display_classifier[contour-predict_proba] PASSED
563s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_decision_boundary_display_classifier[contour-decision_function] PASSED
563s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_decision_boundary_display_outlier_detector[contourf-auto] PASSED
563s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_decision_boundary_display_outlier_detector[contourf-predict] PASSED
563s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_decision_boundary_display_outlier_detector[contourf-decision_function] PASSED
564s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_decision_boundary_display_outlier_detector[contour-auto] PASSED
564s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_decision_boundary_display_outlier_detector[contour-predict] PASSED
564s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_decision_boundary_display_outlier_detector[contour-decision_function] PASSED
564s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_decision_boundary_display_regressor[contourf-auto] PASSED
564s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_decision_boundary_display_regressor[contourf-predict] PASSED
564s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_decision_boundary_display_regressor[contour-auto] PASSED
564s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_decision_boundary_display_regressor[contour-predict] PASSED
564s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_error_bad_response[predict_proba-MyClassifier has none of the following attributes: predict_proba] PASSED
564s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_error_bad_response[decision_function-MyClassifier has none of the following attributes: decision_function] PASSED
564s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_error_bad_response[auto-MyClassifier has none of the following attributes: decision_function, predict_proba, predict] PASSED
564s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_error_bad_response[bad_method-MyClassifier has none of the following attributes: bad_method] PASSED
564s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_multilabel_classifier_error[auto] PASSED
564s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_multilabel_classifier_error[predict] PASSED
564s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_multilabel_classifier_error[predict_proba] PASSED
564s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_multi_output_multi_class_classifier_error[auto] PASSED
564s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_multi_output_multi_class_classifier_error[predict] PASSED
564s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_multi_output_multi_class_classifier_error[predict_proba] PASSED
564s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_multioutput_regressor_error PASSED
564s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_regressor_unsupported_response[predict_proba] PASSED
564s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_regressor_unsupported_response[decision_function] PASSED
564s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_regressor_unsupported_response[response_method2] PASSED
564s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_dataframe_labels_used SKIPPED
564s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_string_target PASSED
564s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_dataframe_support SKIPPED
564s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_class_of_interest_binary[predict_proba] PASSED
564s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_class_of_interest_binary[decision_function] PASSED
564s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_class_of_interest_multiclass[predict_proba] PASSED
565s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_class_of_interest_multiclass[decision_function] PASSED
565s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_boundary_decision_display.py::test_subclass_named_constructors_return_type_is_subclass PASSED
565s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence[10] PASSED
565s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence[20] PASSED
565s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_kind[average-False-None-shape0] PASSED
565s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_kind[individual-False-None-shape1] PASSED
565s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_kind[both-False-None-shape2] PASSED
565s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_kind[individual-False-20-shape3] PASSED
565s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_kind[both-False-20-shape4] PASSED
566s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_kind[individual-False-0.5-shape5] PASSED
566s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_kind[both-False-0.5-shape6] PASSED
566s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_kind[average-True-None-shape7] PASSED
566s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_kind[individual-True-None-shape8] PASSED
566s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_kind[both-True-None-shape9] PASSED
567s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_kind[individual-True-20-shape10] PASSED
567s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_kind[both-True-20-shape11] PASSED
567s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_str_features[dataframe-None] SKIPPED
567s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_str_features[dataframe-list] SKIPPED
567s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_str_features[list-list] PASSED
567s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_str_features[array-list] PASSED
567s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_str_features[dataframe-array] SKIPPED
567s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_str_features[list-array] PASSED
567s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_str_features[array-array] PASSED
567s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_str_features[dataframe-series] SKIPPED
567s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_str_features[list-series] SKIPPED
567s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_str_features[array-series] SKIPPED
567s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_str_features[dataframe-index] SKIPPED
567s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_str_features[list-index] SKIPPED
567s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_str_features[array-index] SKIPPED
567s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_custom_axes PASSED
567s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_passing_numpy_axes[average-1] PASSED
567s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_passing_numpy_axes[individual-50] PASSED
568s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_passing_numpy_axes[both-51] PASSED
568s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_incorrent_num_axes[2-2] PASSED
568s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_incorrent_num_axes[3-1] PASSED
568s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_with_same_axes PASSED
568s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_feature_name_reuse PASSED
568s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_multiclass PASSED
569s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_multioutput[0] PASSED
569s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_multioutput[1] PASSED
569s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_dataframe SKIPPED
569s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_error[data0-params0-target must be specified for multi-output] PASSED
569s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_error[data1-params1-target must be in \\[0, n_tasks\\]] PASSED
569s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_error[data2-params2-target must be in \\[0, n_tasks\\]] PASSED
569s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_error[data3-params3-Feature 'foobar' not in feature_names] PASSED
569s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_error[data4-params4-Feature 'foobar' not in feature_names] PASSED
569s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_error[data5-params5-Each entry in features must be either an int, ] PASSED
569s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_error[data6-params6-Each entry in features must be either an int, ] PASSED
569s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_error[data7-params7-Each entry in features must be either an int, ] PASSED
569s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_error[data8-params8-All entries of features must be less than ] PASSED
569s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_error[data9-params9-feature_names should not contain duplicates] PASSED
569s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_error[data10-params10-When `kind` is provided as a list of strings, it should contain] PASSED
569s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_error[data11-params11-When an integer, subsample=-1 should be positive.] PASSED
569s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_error[data12-params12-When a floating-point, subsample=1.2 should be in the \\(0, 1\\) range] PASSED
569s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_error[data13-params13-Expected `categorical_features` to be an array-like of boolean,] PASSED
569s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_error[data14-params14-Two-way partial dependence plots are not supported for pairs] PASSED
569s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_error[data15-params15-It is not possible to display individual effects] PASSED
569s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_multiclass_error[params0-target not in est.classes_, got 4] PASSED
569s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_multiclass_error[params1-target must be specified for multi-class] PASSED
569s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_multiclass_error[params2-Each entry in features must be either an int,] PASSED
569s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_does_not_override_ylabel PASSED
569s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_with_categorical[categorical_features0-dataframe] SKIPPED
569s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_with_categorical[categorical_features1-array] PASSED
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569s ../../../usr/lib/python3/dist-packages/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py::test_plot_partial_dependence_subsampling[average-expected_shape0] PASSED
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650s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/_glm/tests/test_glm.py::test_glm_regression_unpenalized_vstacked_X[long-TweedieRegressor(power=1.5)-42-False-newton-cholesky] PASSED
651s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/_glm/tests/test_glm.py::test_glm_regression_unpenalized_vstacked_X[wide-BinomialRegressor()-42-True-lbfgs] PASSED
651s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/_glm/tests/test_glm.py::test_glm_regression_unpenalized_vstacked_X[wide-BinomialRegressor()-42-True-newton-cholesky] PASSED
652s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/_glm/tests/test_glm.py::test_glm_regression_unpenalized_vstacked_X[wide-BinomialRegressor()-42-False-lbfgs] PASSED
653s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/_glm/tests/test_glm.py::test_glm_regression_unpenalized_vstacked_X[wide-BinomialRegressor()-42-False-newton-cholesky] PASSED
653s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/_glm/tests/test_glm.py::test_glm_regression_unpenalized_vstacked_X[wide-PoissonRegressor()-42-True-lbfgs] PASSED
654s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/_glm/tests/test_glm.py::test_glm_regression_unpenalized_vstacked_X[wide-PoissonRegressor()-42-True-newton-cholesky] PASSED
654s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/_glm/tests/test_glm.py::test_glm_regression_unpenalized_vstacked_X[wide-PoissonRegressor()-42-False-lbfgs] PASSED
655s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/_glm/tests/test_glm.py::test_glm_regression_unpenalized_vstacked_X[wide-PoissonRegressor()-42-False-newton-cholesky] PASSED
655s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/_glm/tests/test_glm.py::test_glm_regression_unpenalized_vstacked_X[wide-GammaRegressor()-42-True-lbfgs] PASSED
656s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/_glm/tests/test_glm.py::test_glm_regression_unpenalized_vstacked_X[wide-GammaRegressor()-42-True-newton-cholesky] PASSED
656s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/_glm/tests/test_glm.py::test_glm_regression_unpenalized_vstacked_X[wide-GammaRegressor()-42-False-lbfgs] PASSED
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660s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/_glm/tests/test_glm.py::test_newton_solver_verbosity[1] RUNNING THE L-BFGS-B CODE
660s 
660s            * * *
660s 
660s Machine precision = 2.220D-16
660s  N =            2     M =           10
660s  This problem is unconstrained.
660s 
660s            * * *
660s 
660s Tit   = total number of iterations
660s Tnf   = total number of function evaluations
660s Tnint = total number of segments explored during Cauchy searches
660s Skip  = number of BFGS updates skipped
660s Nact  = number of active bounds at final generalized Cauchy point
660s Projg = norm of the final projected gradient
660s F     = final function value
660s 
660s            * * *
660s 
660s    N    Tit     Tnf  Tnint  Skip  Nact     Projg        F
660s     2      5      7      1     0     0   5.264D-05  -3.750D-01
660s 
660s CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL            
660s PASSED
660s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/_glm/tests/test_glm.py::test_newton_solver_verbosity[2] RUNNING THE L-BFGS-B CODE
660s 
660s            * * *
660s 
660s Machine precision = 2.220D-16
660s  N =            2     M =           10
660s  This problem is unconstrained.
660s 
660s At X0         0 variables are exactly at the bounds
660s 
660s At iterate    0    f= -2.66378D-01    |proj g|=  1.16272D-01
660s 
660s At iterate    1    f= -3.72773D-01    |proj g|=  3.44540D-02
660s 
660s At iterate    2    f= -3.74743D-01    |proj g|=  1.18567D-02
660s 
660s At iterate    3    f= -3.74922D-01    |proj g|=  5.40689D-03
660s 
660s At iterate    4    f= -3.75000D-01    |proj g|=  4.08881D-04
660s 
660s At iterate    5    f= -3.75000D-01    |proj g|=  5.26385D-05
660s 
660s            * * *
660s 
660s Tit   = total number of iterations
660s Tnf   = total number of function evaluations
660s Tnint = total number of segments explored during Cauchy searches
660s Skip  = number of BFGS updates skipped
660s Nact  = number of active bounds at final generalized Cauchy point
660s Projg = norm of the final projected gradient
660s F     = final function value
660s 
660s            * * *
660s 
660s    N    Tit     Tnf  Tnint  Skip  Nact     Projg        F
660s     2      5      7      1     0     0   5.264D-05  -3.750D-01
660s   F = -0.37499999475400758     
660s 
660s CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL            
660s PASSED
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691s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_vstacked_X[wide-42-True-svd] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_vstacked_X[wide-42-True-sparse_cg] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_vstacked_X[wide-42-True-cholesky] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_vstacked_X[wide-42-True-lsqr] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_vstacked_X[wide-42-True-sag] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_vstacked_X[wide-42-True-saga] PASSED
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691s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_vstacked_X[wide-42-False-sparse_cg] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_vstacked_X[wide-42-False-cholesky] PASSED
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691s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_vstacked_X[wide-42-False-saga] PASSED
691s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized[long-42-True-svd] PASSED
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691s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized[wide-42-True-svd] XFAIL
691s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized[wide-42-True-sparse_cg] XFAIL
691s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized[wide-42-True-cholesky] XFAIL
691s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized[wide-42-True-lsqr] XFAIL
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized[wide-42-True-sag] XFAIL
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized[wide-42-True-saga] XFAIL
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized[wide-42-False-svd] PASSED
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized[wide-42-False-sparse_cg] PASSED
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized[wide-42-False-cholesky] PASSED
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized[wide-42-False-lsqr] PASSED
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized[wide-42-False-sag] PASSED
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized[wide-42-False-saga] PASSED
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692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[long-42-True-saga] PASSED
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[long-42-False-svd] PASSED
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[long-42-False-sparse_cg] PASSED
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[long-42-False-cholesky] SKIPPED
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[long-42-False-lsqr] PASSED
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[long-42-False-sag] PASSED
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[long-42-False-saga] PASSED
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[wide-42-True-svd] XFAIL
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[wide-42-True-sparse_cg] XFAIL
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[wide-42-True-cholesky] XFAIL
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[wide-42-True-lsqr] XFAIL
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[wide-42-True-sag] XFAIL
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[wide-42-True-saga] XFAIL
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[wide-42-False-svd] PASSED
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[wide-42-False-sparse_cg] PASSED
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[wide-42-False-cholesky] SKIPPED
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[wide-42-False-lsqr] PASSED
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[wide-42-False-sag] PASSED
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[wide-42-False-saga] PASSED
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[long-42-True-svd] PASSED
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[long-42-True-sparse_cg] PASSED
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[long-42-True-cholesky] PASSED
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[long-42-True-lsqr] PASSED
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[long-42-True-sag] PASSED
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[long-42-True-saga] PASSED
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[long-42-False-svd] PASSED
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[long-42-False-sparse_cg] PASSED
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[long-42-False-cholesky] PASSED
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[long-42-False-lsqr] PASSED
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[long-42-False-sag] PASSED
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[long-42-False-saga] PASSED
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-True-svd] XFAIL
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-True-sparse_cg] XFAIL
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-True-cholesky] XFAIL
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-True-lsqr] XFAIL
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-True-sag] XFAIL
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-True-saga] XFAIL
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-False-svd] PASSED
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-False-sparse_cg] PASSED
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-False-cholesky] PASSED
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-False-lsqr] PASSED
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-False-sag] PASSED
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-False-saga] PASSED
692s ../../../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
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_sample_weights[long-42-1.0-None-True-sparse_cg] PASSED
692s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_sample_weights[long-42-1.0-None-True-cholesky] PASSED
693s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_sample_weights[long-42-1.0-None-True-lsqr] PASSED
693s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_sample_weights[long-42-1.0-None-True-sag] PASSED
693s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_sample_weights[long-42-1.0-None-True-saga] PASSED
693s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_sample_weights[long-42-1.0-None-False-svd] PASSED
693s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_sample_weights[long-42-1.0-None-False-sparse_cg] PASSED
693s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_sample_weights[long-42-1.0-None-False-cholesky] PASSED
693s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_sample_weights[long-42-1.0-None-False-lsqr] PASSED
693s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_sample_weights[long-42-1.0-None-False-sag] PASSED
693s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_sample_weights[long-42-1.0-None-False-saga] PASSED
693s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_sample_weights[long-42-1.0-csr_matrix-True-svd] SKIPPED
693s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_sample_weights[long-42-1.0-csr_matrix-True-sparse_cg] PASSED
693s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_sample_weights[long-42-1.0-csr_matrix-True-cholesky] SKIPPED
693s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_sample_weights[long-42-1.0-csr_matrix-True-lsqr] SKIPPED
693s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_sample_weights[long-42-1.0-csr_matrix-True-sag] PASSED
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693s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_sample_weights[long-42-1.0-csr_matrix-False-svd] SKIPPED
693s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_sample_weights[long-42-1.0-csr_matrix-False-sparse_cg] PASSED
693s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_sample_weights[long-42-1.0-csr_matrix-False-cholesky] PASSED
693s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_sample_weights[long-42-1.0-csr_matrix-False-lsqr] PASSED
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693s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_sample_weights[long-42-1.0-csr_array-True-svd] SKIPPED
693s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_sample_weights[long-42-1.0-csr_array-True-sparse_cg] PASSED
693s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_sample_weights[long-42-1.0-csr_array-True-cholesky] SKIPPED
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693s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_sample_weights[long-42-1.0-csr_array-True-sag] PASSED
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693s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_sample_weights[long-42-1.0-csr_array-False-svd] SKIPPED
693s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_sample_weights[long-42-1.0-csr_array-False-sparse_cg] PASSED
693s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_sample_weights[long-42-1.0-csr_array-False-cholesky] PASSED
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693s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_sample_weights[long-42-0.01-None-True-svd] PASSED
693s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_sample_weights[long-42-0.01-None-True-sparse_cg] PASSED
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713s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-cholesky-tall-None-False] PASSED
713s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-cholesky-tall-None-True] PASSED
713s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-cholesky-tall-csr_matrix-False] PASSED
713s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-cholesky-tall-csr_matrix-True] SKIPPED
713s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-cholesky-tall-csr_array-False] PASSED
713s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-cholesky-tall-csr_array-True] SKIPPED
713s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-cholesky-wide-None-False] PASSED
713s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-cholesky-wide-None-True] PASSED
713s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-cholesky-wide-csr_matrix-False] PASSED
713s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-cholesky-wide-csr_matrix-True] SKIPPED
713s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-cholesky-wide-csr_array-False] PASSED
713s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-cholesky-wide-csr_array-True] SKIPPED
713s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lsqr-tall-None-False] PASSED
713s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lsqr-tall-None-True] PASSED
713s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lsqr-tall-csr_matrix-False] PASSED
713s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lsqr-tall-csr_matrix-True] PASSED
713s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lsqr-tall-csr_array-False] PASSED
713s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lsqr-tall-csr_array-True] PASSED
713s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lsqr-wide-None-False] PASSED
713s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lsqr-wide-None-True] PASSED
713s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lsqr-wide-csr_matrix-False] PASSED
713s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lsqr-wide-csr_matrix-True] PASSED
713s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lsqr-wide-csr_array-False] PASSED
713s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lsqr-wide-csr_array-True] PASSED
713s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-sag-tall-None-False] XFAIL
713s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-sag-tall-None-True] PASSED
714s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-sag-tall-csr_matrix-False] XFAIL
714s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-sag-tall-csr_matrix-True] PASSED
714s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-sag-tall-csr_array-False] XFAIL
714s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-sag-tall-csr_array-True] PASSED
714s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-sag-wide-None-False] XFAIL
714s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-sag-wide-None-True] PASSED
714s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-sag-wide-csr_matrix-False] XFAIL
714s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-sag-wide-csr_matrix-True] PASSED
714s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-sag-wide-csr_array-False] XFAIL
714s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-sag-wide-csr_array-True] PASSED
714s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-saga-tall-None-False] XFAIL
714s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-saga-tall-None-True] PASSED
714s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-saga-tall-csr_matrix-False] XFAIL
714s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-saga-tall-csr_matrix-True] SKIPPED
714s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-saga-tall-csr_array-False] XFAIL
714s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-saga-tall-csr_array-True] SKIPPED
714s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-saga-wide-None-False] XFAIL
714s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-saga-wide-None-True] PASSED
714s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-saga-wide-csr_matrix-False] XFAIL
714s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-saga-wide-csr_matrix-True] SKIPPED
714s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-saga-wide-csr_array-False] XFAIL
714s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-saga-wide-csr_array-True] SKIPPED
714s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lbfgs-tall-None-False] PASSED
714s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lbfgs-tall-None-True] PASSED
714s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lbfgs-tall-csr_matrix-False] PASSED
714s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lbfgs-tall-csr_matrix-True] PASSED
714s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lbfgs-tall-csr_array-False] PASSED
715s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lbfgs-tall-csr_array-True] PASSED
715s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lbfgs-wide-None-False] PASSED
715s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lbfgs-wide-None-True] PASSED
715s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lbfgs-wide-csr_matrix-False] PASSED
715s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lbfgs-wide-csr_matrix-True] PASSED
715s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lbfgs-wide-csr_array-False] PASSED
715s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-lbfgs-wide-csr_array-True] PASSED
715s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_classifier_matching PASSED
715s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_regressor_matching PASSED
715s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_sag_pobj_matches_logistic_regression[csr_matrix] PASSED
715s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_sag_pobj_matches_logistic_regression[csr_array] PASSED
715s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_sag_pobj_matches_ridge_regression[csr_matrix] PASSED
715s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_sag_pobj_matches_ridge_regression[csr_array] PASSED
716s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_sag_regressor_computed_correctly[csr_matrix] PASSED
716s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_sag_regressor_computed_correctly[csr_array] PASSED
716s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_get_auto_step_size PASSED
716s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_sag_regressor[csr_matrix-0] PASSED
716s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_sag_regressor[csr_matrix-1] PASSED
716s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_sag_regressor[csr_matrix-2] PASSED
716s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_sag_regressor[csr_array-0] PASSED
716s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_sag_regressor[csr_array-1] PASSED
716s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_sag_regressor[csr_array-2] PASSED
716s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_sag_classifier_computed_correctly[csr_matrix] PASSED
716s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_sag_classifier_computed_correctly[csr_array] PASSED
716s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_sag_multiclass_computed_correctly[csr_matrix] PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_sag_multiclass_computed_correctly[csr_array] PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_classifier_results[csr_matrix] PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_classifier_results[csr_array] PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_binary_classifier_class_weight[csr_matrix] PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_binary_classifier_class_weight[csr_array] PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_multiclass_classifier_class_weight[csr_matrix] PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_multiclass_classifier_class_weight[csr_array] PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_classifier_single_class PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_step_size_alpha_error PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_multinomial_loss PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_multinomial_loss_ground_truth PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_sag_classifier_raises_error[sag] PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py::test_sag_classifier_raises_error[saga] PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_warm_start[constant-SGDClassifier] PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_warm_start[constant-SparseSGDClassifier] PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_warm_start[constant-SGDRegressor] PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_warm_start[constant-SparseSGDRegressor] PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_warm_start[optimal-SGDClassifier] PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_warm_start[optimal-SparseSGDClassifier] PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_warm_start[optimal-SGDRegressor] PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_warm_start[optimal-SparseSGDRegressor] PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_warm_start[invscaling-SGDClassifier] PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_warm_start[invscaling-SparseSGDClassifier] PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_warm_start[invscaling-SGDRegressor] PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_warm_start[invscaling-SparseSGDRegressor] PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_warm_start[adaptive-SGDClassifier] PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_warm_start[adaptive-SparseSGDClassifier] PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_warm_start[adaptive-SGDRegressor] PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_warm_start[adaptive-SparseSGDRegressor] PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_input_format[SGDClassifier] PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_input_format[SparseSGDClassifier] PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_input_format[SGDRegressor] PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_input_format[SparseSGDRegressor] PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_clone[SGDClassifier] PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_clone[SparseSGDClassifier] PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_clone[SGDRegressor] PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_clone[SparseSGDRegressor] PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_plain_has_no_average_attr[SGDClassifier] PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_plain_has_no_average_attr[SparseSGDClassifier] PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_plain_has_no_average_attr[SGDRegressor] PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_plain_has_no_average_attr[SparseSGDRegressor] PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_plain_has_no_average_attr[SGDOneClassSVM] PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_plain_has_no_average_attr[SparseSGDOneClassSVM] PASSED
717s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_late_onset_averaging_not_reached[SGDClassifier] PASSED
718s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_late_onset_averaging_not_reached[SparseSGDClassifier] PASSED
718s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_late_onset_averaging_not_reached[SGDRegressor] PASSED
718s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_late_onset_averaging_not_reached[SparseSGDRegressor] PASSED
718s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_late_onset_averaging_not_reached[SGDOneClassSVM] PASSED
718s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_late_onset_averaging_not_reached[SparseSGDOneClassSVM] PASSED
718s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_late_onset_averaging_reached[SGDClassifier] PASSED
718s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_late_onset_averaging_reached[SparseSGDClassifier] PASSED
718s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_late_onset_averaging_reached[SGDRegressor] PASSED
718s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_late_onset_averaging_reached[SparseSGDRegressor] PASSED
718s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_early_stopping[SGDClassifier] PASSED
718s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_early_stopping[SparseSGDClassifier] PASSED
718s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_early_stopping[SGDRegressor] PASSED
718s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_early_stopping[SparseSGDRegressor] PASSED
718s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_adaptive_longer_than_constant[SGDClassifier] PASSED
718s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_adaptive_longer_than_constant[SparseSGDClassifier] PASSED
718s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_adaptive_longer_than_constant[SGDRegressor] PASSED
718s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_adaptive_longer_than_constant[SparseSGDRegressor] PASSED
718s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_validation_set_not_used_for_training[SGDClassifier] PASSED
718s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_validation_set_not_used_for_training[SparseSGDClassifier] PASSED
719s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_validation_set_not_used_for_training[SGDRegressor] PASSED
719s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_validation_set_not_used_for_training[SparseSGDRegressor] PASSED
719s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_n_iter_no_change[SGDClassifier] PASSED
719s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_n_iter_no_change[SparseSGDClassifier] PASSED
719s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_n_iter_no_change[SGDRegressor] PASSED
719s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_n_iter_no_change[SparseSGDRegressor] PASSED
719s ../../../usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py::test_not_enough_sample_for_early_stopping[SGDClassifier] PASSED
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778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce[float64] PASSED
778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce_none[float32] SKIPPED
778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce_none[float64] PASSED
778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce_valid[<lambda>0] PASSED
778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce_valid[<lambda>1] PASSED
778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce_valid[<lambda>2] PASSED
778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce_valid[<lambda>3] PASSED
778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce_valid[<lambda>4] PASSED
778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce_valid[<lambda>5] PASSED
778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce_valid[<lambda>6] PASSED
778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce_invalid[float32-<lambda>-ValueError-length 11\\..* input: 10\\.] SKIPPED
778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce_invalid[float32-<lambda>-ValueError-length \\(10, 11\\)\\..* input: 10\\.] SKIPPED
778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce_invalid[float32-<lambda>-ValueError-length \\(9, 10\\)\\..* input: 10\\.] SKIPPED
778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce_invalid[float32-<lambda>-TypeError-returned 7\\. Expected sequence\\(s\\) of length 10\\.] SKIPPED
778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce_invalid[float32-<lambda>-TypeError-returned \\(7, 8\\)\\. Expected sequence\\(s\\) of length 10\\.] SKIPPED
778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce_invalid[float32-<lambda>-TypeError-, 9\\)\\. Expected sequence\\(s\\) of length 10\\.] SKIPPED
778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce_invalid[float64-<lambda>-ValueError-length 11\\..* input: 10\\.] PASSED
778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce_invalid[float64-<lambda>-ValueError-length \\(10, 11\\)\\..* input: 10\\.] PASSED
778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce_invalid[float64-<lambda>-ValueError-length \\(9, 10\\)\\..* input: 10\\.] PASSED
778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce_invalid[float64-<lambda>-TypeError-returned 7\\. Expected sequence\\(s\\) of length 10\\.] PASSED
778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce_invalid[float64-<lambda>-TypeError-returned \\(7, 8\\)\\. Expected sequence\\(s\\) of length 10\\.] PASSED
778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce_invalid[float64-<lambda>-TypeError-, 9\\)\\. Expected sequence\\(s\\) of length 10\\.] PASSED
778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_diagonal[float32-euclidean] SKIPPED
778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_diagonal[float32-l2] SKIPPED
778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_diagonal[float32-sqeuclidean] SKIPPED
778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_diagonal[float64-euclidean] PASSED
778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_diagonal[float64-l2] PASSED
778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_diagonal[float64-sqeuclidean] PASSED
778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_parallel_pairwise_distances_diagonal[float32-euclidean] SKIPPED
778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_parallel_pairwise_distances_diagonal[float32-l2] SKIPPED
778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_parallel_pairwise_distances_diagonal[float32-sqeuclidean] SKIPPED
778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_parallel_pairwise_distances_diagonal[float64-euclidean] PASSED
778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_parallel_pairwise_distances_diagonal[float64-l2] PASSED
778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_parallel_pairwise_distances_diagonal[float64-sqeuclidean] PASSED
778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked[float32] SKIPPED
778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked[float64] PASSED
778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_known_result[dense-dense] PASSED
778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_known_result[dense-csr_matrix] PASSED
778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_known_result[dense-csr_array] PASSED
778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_known_result[csr_matrix-dense] PASSED
778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_known_result[csr_matrix-csr_matrix] PASSED
778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_known_result[csr_matrix-csr_array] PASSED
778s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_known_result[csr_array-dense] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_known_result[csr_array-csr_matrix] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_known_result[csr_array-csr_array] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_with_norms[float32-dense] SKIPPED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_with_norms[float32-csr_matrix] SKIPPED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_with_norms[float32-csr_array] SKIPPED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_with_norms[float64-dense] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_with_norms[float64-csr_matrix] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_with_norms[float64-csr_array] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_float32_norms[42-True] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_float32_norms[42-False] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_norm_shapes PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances[float32-dense-dense] SKIPPED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances[float32-dense-csr_matrix] SKIPPED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances[float32-dense-csr_array] SKIPPED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances[float32-csr_matrix-dense] SKIPPED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances[float32-csr_matrix-csr_matrix] SKIPPED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances[float32-csr_matrix-csr_array] SKIPPED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances[float32-csr_array-dense] SKIPPED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances[float32-csr_array-csr_matrix] SKIPPED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances[float32-csr_array-csr_array] SKIPPED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances[float64-dense-dense] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances[float64-dense-csr_matrix] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances[float64-dense-csr_array] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances[float64-csr_matrix-dense] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances[float64-csr_matrix-csr_matrix] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances[float64-csr_matrix-csr_array] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances[float64-csr_array-dense] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances[float64-csr_array-csr_matrix] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances[float64-csr_array-csr_array] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_sym[float32-dense] SKIPPED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_sym[float32-csr_matrix] SKIPPED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_sym[float32-csr_array] SKIPPED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_sym[float64-dense] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_sym[float64-csr_matrix] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_sym[float64-csr_array] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[dense-dense-None] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[dense-dense-5] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[dense-dense-7] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[dense-dense-101] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[dense-csr_matrix-None] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[dense-csr_matrix-5] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[dense-csr_matrix-7] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[dense-csr_matrix-101] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[dense-csr_array-None] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[dense-csr_array-5] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[dense-csr_array-7] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[dense-csr_array-101] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[csr_matrix-dense-None] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[csr_matrix-dense-5] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[csr_matrix-dense-7] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[csr_matrix-dense-101] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[csr_matrix-csr_matrix-None] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[csr_matrix-csr_matrix-5] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[csr_matrix-csr_matrix-7] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[csr_matrix-csr_matrix-101] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[csr_matrix-csr_array-None] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[csr_matrix-csr_array-5] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[csr_matrix-csr_array-7] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[csr_matrix-csr_array-101] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[csr_array-dense-None] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[csr_array-dense-5] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[csr_array-dense-7] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[csr_array-dense-101] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[csr_array-csr_matrix-None] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[csr_array-csr_matrix-5] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[csr_array-csr_matrix-7] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[csr_array-csr_matrix-101] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[csr_array-csr_array-None] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[csr_array-csr_array-5] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[csr_array-csr_array-7] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast[csr_array-csr_array-101] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast_sym[dense-None] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast_sym[dense-5] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast_sym[dense-7] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast_sym[dense-101] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast_sym[csr_matrix-None] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast_sym[csr_matrix-5] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast_sym[csr_matrix-7] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast_sym[csr_matrix-101] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast_sym[csr_array-None] PASSED
779s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast_sym[csr_array-5] PASSED
780s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast_sym[csr_array-7] PASSED
780s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_upcast_sym[csr_array-101] PASSED
780s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_extreme_values[1-float32-0.0001-1e-05] PASSED
780s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_extreme_values[1-float64-1e-08-0.99] XFAIL
780s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_extreme_values[1000000-float32-0.0001-1e-05] PASSED
780s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_euclidean_distances_extreme_values[1000000-float64-1e-08-0.99] XFAIL
780s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_equal_to_euclidean_distance[True] PASSED
780s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_equal_to_euclidean_distance[False] PASSED
780s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_infinite_values[Y0-X0] PASSED
780s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_infinite_values[Y0-X1] PASSED
780s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_infinite_values[Y1-X0] PASSED
780s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_infinite_values[Y1-X1] PASSED
780s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_infinite_values[None-X0] PASSED
780s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_infinite_values[None-X1] PASSED
780s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_2x2[X0-1.4142135623730951-nan] PASSED
780s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_2x2[X1-1.4142135623730951-nan] PASSED
780s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_2x2[X2-nan-nan] PASSED
780s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_2x2[X3-1.4142135623730951-nan] PASSED
780s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_2x2[X4-1.4142135623730951-nan] PASSED
780s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py::test_nan_euclidean_distances_2x2[X5-1.4142135623730951--1] PASSED
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793s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise_distances_reduction.py::test_pairwise_distances_argkmin[42-csr_matrix-float64-parallel_on_Y-canberra] PASSED
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795s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise_distances_reduction.py::test_pairwise_distances_argkmin[42-csr_array-float64-parallel_on_Y-minkowski] PASSED
795s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise_distances_reduction.py::test_pairwise_distances_argkmin[42-csr_array-float64-parallel_on_Y-seuclidean] PASSED
795s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise_distances_reduction.py::test_pairwise_distances_argkmin[42-csr_array-float32-parallel_on_X-braycurtis] PASSED
795s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise_distances_reduction.py::test_pairwise_distances_argkmin[42-csr_array-float32-parallel_on_X-canberra] PASSED
795s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise_distances_reduction.py::test_pairwise_distances_argkmin[42-csr_array-float32-parallel_on_X-chebyshev] PASSED
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795s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise_distances_reduction.py::test_pairwise_distances_argkmin[42-csr_array-float32-parallel_on_X-euclidean] PASSED
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805s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[jaccard_weighted] PASSED
805s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[matthews_corrcoef] PASSED
805s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[max_error] PASSED
805s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[mutual_info_score] PASSED
805s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[neg_brier_score] PASSED
805s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[neg_log_loss] PASSED
805s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[neg_mean_absolute_error] PASSED
805s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[neg_mean_absolute_percentage_error] PASSED
805s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[neg_mean_gamma_deviance] PASSED
805s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[neg_mean_poisson_deviance] PASSED
805s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[neg_mean_squared_error] PASSED
805s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[neg_mean_squared_log_error] PASSED
805s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[neg_median_absolute_error] PASSED
805s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[neg_negative_likelihood_ratio] PASSED
805s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[neg_root_mean_squared_error] PASSED
805s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[neg_root_mean_squared_log_error] PASSED
805s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[normalized_mutual_info_score] PASSED
805s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[positive_likelihood_ratio] PASSED
805s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[precision] PASSED
805s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[precision_macro] PASSED
805s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[precision_micro] PASSED
805s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[precision_samples] PASSED
805s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[precision_weighted] PASSED
805s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[r2] PASSED
805s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[rand_score] PASSED
805s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[recall] PASSED
805s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[recall_macro] PASSED
805s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[recall_micro] PASSED
805s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[recall_samples] PASSED
805s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[recall_weighted] PASSED
805s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[roc_auc] PASSED
805s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[roc_auc_ovo] PASSED
805s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[roc_auc_ovo_weighted] PASSED
805s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[roc_auc_ovr] PASSED
805s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[roc_auc_ovr_weighted] PASSED
805s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[top_k_accuracy] PASSED
805s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_memmap_input[v_measure_score] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scoring_is_not_metric PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_multimetric_scorer_calls_method_once[scorers0-1-1-1] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_multimetric_scorer_calls_method_once[scorers1-1-0-1] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_multimetric_scorer_calls_method_once[scorers2-1-1-0] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_multimetric_scorer_calls_method_once_classifier_no_decision[scorers0] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_multimetric_scorer_calls_method_once_classifier_no_decision[scorers1] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_multimetric_scorer_calls_method_once_regressor_threshold PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_multimetric_scorer_sanity_check PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_multimetric_scorer_exception_handling[True] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_multimetric_scorer_exception_handling[False] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_multiclass_roc_proba_scorer[roc_auc_ovr-metric0] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_multiclass_roc_proba_scorer[roc_auc_ovo-metric1] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_multiclass_roc_proba_scorer[roc_auc_ovr_weighted-metric2] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_multiclass_roc_proba_scorer[roc_auc_ovo_weighted-metric3] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_multiclass_roc_proba_scorer_label PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_multiclass_roc_no_proba_scorer_errors[roc_auc_ovr] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_multiclass_roc_no_proba_scorer_errors[roc_auc_ovo] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_multiclass_roc_no_proba_scorer_errors[roc_auc_ovr_weighted] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_multiclass_roc_no_proba_scorer_errors[roc_auc_ovo_weighted] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_average_precision_pos_label PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_brier_score_loss_pos_label PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_non_symmetric_metric_pos_label[f1_score] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_non_symmetric_metric_pos_label[precision_score] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_non_symmetric_metric_pos_label[recall_score] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_non_symmetric_metric_pos_label[jaccard_score] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_select_proba_error[non-thresholded scorer] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_select_proba_error[probability scorer] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_select_proba_error[thresholded scorer] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_get_scorer_return_copy PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_no_op_multiclass_select_proba PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[accuracy] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[adjusted_mutual_info_score] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[adjusted_rand_score] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[average_precision] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[balanced_accuracy] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[completeness_score] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[explained_variance] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[f1] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[f1_macro] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[f1_micro] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[f1_samples] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[f1_weighted] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[fowlkes_mallows_score] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[homogeneity_score] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[jaccard] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[jaccard_macro] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[jaccard_micro] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[jaccard_samples] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[jaccard_weighted] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[matthews_corrcoef] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[max_error] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[mutual_info_score] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[neg_brier_score] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[neg_log_loss] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[neg_mean_absolute_error] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[neg_mean_absolute_percentage_error] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[neg_mean_gamma_deviance] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[neg_mean_poisson_deviance] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[neg_mean_squared_error] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[neg_mean_squared_log_error] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[neg_median_absolute_error] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[neg_negative_likelihood_ratio] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[neg_root_mean_squared_error] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[neg_root_mean_squared_log_error] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[normalized_mutual_info_score] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[positive_likelihood_ratio] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[precision] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[precision_macro] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[precision_micro] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[precision_samples] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[precision_weighted] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[r2] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[rand_score] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[recall] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[recall_macro] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[recall_micro] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[recall_samples] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[recall_weighted] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[roc_auc] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[roc_auc_ovo] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[roc_auc_ovo_weighted] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[roc_auc_ovr] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[roc_auc_ovr_weighted] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[top_k_accuracy] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_set_score_request_raises[v_measure_score] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_metadata_request[accuracy] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_metadata_request[adjusted_mutual_info_score] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_metadata_request[adjusted_rand_score] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_metadata_request[average_precision] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_metadata_request[balanced_accuracy] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_metadata_request[completeness_score] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_metadata_request[explained_variance] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_metadata_request[f1] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_metadata_request[f1_macro] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_metadata_request[f1_micro] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_metadata_request[f1_samples] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_metadata_request[f1_weighted] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_metadata_request[fowlkes_mallows_score] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_metadata_request[homogeneity_score] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_metadata_request[jaccard] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_metadata_request[jaccard_macro] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_metadata_request[jaccard_micro] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_metadata_request[jaccard_samples] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_metadata_request[jaccard_weighted] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_metadata_request[matthews_corrcoef] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_metadata_request[max_error] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_metadata_request[mutual_info_score] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_metadata_request[neg_brier_score] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_metadata_request[neg_log_loss] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_metadata_request[neg_mean_absolute_error] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_metadata_request[neg_mean_absolute_percentage_error] PASSED
806s ../../../usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py::test_scorer_metadata_request[neg_mean_gamma_deviance] PASSED
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871s ../../../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
871s ../../../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
871s ../../../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
871s ../../../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
871s ../../../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
871s ../../../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
871s ../../../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
871s ../../../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
871s ../../../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
871s ../../../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
871s ../../../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
871s ../../../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
871s ../../../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
871s ../../../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
871s ../../../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
871s ../../../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
871s ../../../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
871s ../../../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
871s ../../../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
871s ../../../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
871s ../../../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
871s ../../../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
871s ../../../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
871s ../../../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
872s ../../../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
872s ../../../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
872s ../../../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
872s ../../../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
872s ../../../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
872s ../../../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
872s ../../../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
872s ../../../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
872s ../../../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
872s ../../../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
872s ../../../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
872s ../../../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
872s ../../../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
872s ../../../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
872s ../../../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
872s ../../../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
872s ../../../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
872s ../../../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
872s ../../../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
872s ../../../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
872s ../../../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
872s ../../../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
872s ../../../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
872s ../../../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
872s ../../../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
872s ../../../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
872s ../../../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
872s ../../../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
872s ../../../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
872s ../../../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
872s ../../../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
872s ../../../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
872s ../../../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
872s ../../../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
872s ../../../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
872s ../../../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
872s ../../../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
872s ../../../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
872s ../../../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
872s ../../../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
872s ../../../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
872s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-100-1000-manhattan-100-100-10] PASSED
872s ../../../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
872s ../../../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
872s ../../../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
872s ../../../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
872s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsClassifier-100-1000-DM_euclidean-1000-5-100] SKIPPED
872s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsRegressor-1-100-chebyshev-100-100-10] PASSED
872s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsRegressor-1-100-chebyshev-1000-5-100] PASSED
872s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsRegressor-1-100-cityblock-100-100-10] PASSED
872s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsRegressor-1-100-cityblock-1000-5-100] PASSED
872s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsRegressor-1-100-euclidean-100-100-10] PASSED
872s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsRegressor-1-100-euclidean-1000-5-100] PASSED
872s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsRegressor-1-100-l1-100-100-10] PASSED
872s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsRegressor-1-100-l1-1000-5-100] PASSED
872s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsRegressor-1-100-l2-100-100-10] PASSED
872s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsRegressor-1-100-l2-1000-5-100] PASSED
872s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsRegressor-1-100-manhattan-100-100-10] PASSED
872s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsRegressor-1-100-manhattan-1000-5-100] PASSED
872s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsRegressor-1-100-minkowski-100-100-10] PASSED
872s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsRegressor-1-100-minkowski-1000-5-100] PASSED
872s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsRegressor-1-100-DM_euclidean-100-100-10] SKIPPED
872s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsRegressor-1-100-DM_euclidean-1000-5-100] SKIPPED
872s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsRegressor-50-500-chebyshev-100-100-10] PASSED
873s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsRegressor-50-500-chebyshev-1000-5-100] PASSED
873s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsRegressor-50-500-cityblock-100-100-10] PASSED
873s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsRegressor-50-500-cityblock-1000-5-100] PASSED
873s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsRegressor-50-500-euclidean-100-100-10] PASSED
873s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsRegressor-50-500-euclidean-1000-5-100] PASSED
873s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsRegressor-50-500-l1-100-100-10] PASSED
873s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsRegressor-50-500-l1-1000-5-100] PASSED
873s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsRegressor-50-500-l2-100-100-10] PASSED
873s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsRegressor-50-500-l2-1000-5-100] PASSED
873s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsRegressor-50-500-manhattan-100-100-10] PASSED
873s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsRegressor-50-500-manhattan-1000-5-100] PASSED
873s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsRegressor-50-500-minkowski-100-100-10] PASSED
873s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsRegressor-50-500-minkowski-1000-5-100] PASSED
873s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsRegressor-50-500-DM_euclidean-100-100-10] SKIPPED
873s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsRegressor-50-500-DM_euclidean-1000-5-100] SKIPPED
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873s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsRegressor-100-1000-chebyshev-1000-5-100] PASSED
873s ../../../usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py::test_neigh_predictions_algorithm_agnosticity[float64-RadiusNeighborsRegressor-100-1000-cityblock-100-100-10] PASSED
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939s ../../../usr/lib/python3/dist-packages/sklearn/svm/tests/test_svm.py::test_negative_sample_weights_mask_all_samples[weights-are-zero-NuSVC] warning: class label 0 specified in weight is not found
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960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[BayesianGaussianMixture-BayesianGaussianMixture] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[BayesianRidge-BayesianRidge] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[BernoulliNB-BernoulliNB] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[BernoulliRBM-BernoulliRBM] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[Binarizer-Binarizer] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[Birch-Birch] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[BisectingKMeans-BisectingKMeans] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[CCA-CCA] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[CalibratedClassifierCV-CalibratedClassifierCV] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[CategoricalNB-CategoricalNB] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[ClassifierChain-ClassifierChain] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[ColumnTransformer-ColumnTransformer] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[ComplementNB-ComplementNB] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[CountVectorizer-CountVectorizer] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[DBSCAN-DBSCAN] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[DecisionTreeClassifier-DecisionTreeClassifier] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[DecisionTreeRegressor-DecisionTreeRegressor] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[DictVectorizer-DictVectorizer] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[DictionaryLearning-DictionaryLearning] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[DummyClassifier-DummyClassifier] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[DummyRegressor-DummyRegressor] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[ElasticNet-ElasticNet] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[ElasticNetCV-ElasticNetCV] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[EllipticEnvelope-EllipticEnvelope] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[EmpiricalCovariance-EmpiricalCovariance] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[ExtraTreeClassifier-ExtraTreeClassifier] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[ExtraTreeRegressor-ExtraTreeRegressor] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[ExtraTreesClassifier-ExtraTreesClassifier] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[ExtraTreesRegressor-ExtraTreesRegressor] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[FactorAnalysis-FactorAnalysis] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[FastICA-FastICA] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[FeatureAgglomeration-FeatureAgglomeration] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[FeatureHasher-FeatureHasher] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[FeatureUnion-FeatureUnion] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[FunctionTransformer-FunctionTransformer] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[GammaRegressor-GammaRegressor] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[GaussianMixture-GaussianMixture] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[GaussianNB-GaussianNB] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[GaussianProcessClassifier-GaussianProcessClassifier] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[GaussianProcessRegressor-GaussianProcessRegressor] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[GaussianRandomProjection-GaussianRandomProjection] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[GenericUnivariateSelect-GenericUnivariateSelect] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[GradientBoostingClassifier-GradientBoostingClassifier] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[GradientBoostingRegressor-GradientBoostingRegressor] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[GraphicalLasso-GraphicalLasso] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[GraphicalLassoCV-GraphicalLassoCV] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[GridSearchCV-GridSearchCV] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[HDBSCAN-HDBSCAN] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[HalvingGridSearchCV-HalvingGridSearchCV] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[HalvingRandomSearchCV-HalvingRandomSearchCV] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[HashingVectorizer-HashingVectorizer] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[HistGradientBoostingClassifier-HistGradientBoostingClassifier] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[HistGradientBoostingRegressor-HistGradientBoostingRegressor] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[HuberRegressor-HuberRegressor] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[IncrementalPCA-IncrementalPCA] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[IsolationForest-IsolationForest] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[Isomap-Isomap] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[IsotonicRegression-IsotonicRegression] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[IterativeImputer-IterativeImputer] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[KBinsDiscretizer-KBinsDiscretizer] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[KMeans-KMeans] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[KNNImputer-KNNImputer] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[KNeighborsClassifier-KNeighborsClassifier] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[KNeighborsRegressor-KNeighborsRegressor] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[KNeighborsTransformer-KNeighborsTransformer] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[KernelCenterer-KernelCenterer] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[KernelDensity-KernelDensity] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[KernelPCA-KernelPCA] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[KernelRidge-KernelRidge] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LabelBinarizer-LabelBinarizer] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LabelEncoder-LabelEncoder] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LabelPropagation-LabelPropagation] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LabelSpreading-LabelSpreading] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[Lars-Lars] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LarsCV-LarsCV] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[Lasso-Lasso] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LassoCV-LassoCV] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LassoLars-LassoLars] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LassoLarsCV-LassoLarsCV] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LassoLarsIC-LassoLarsIC] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LatentDirichletAllocation-LatentDirichletAllocation] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LedoitWolf-LedoitWolf] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LinearDiscriminantAnalysis-LinearDiscriminantAnalysis] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LinearRegression-LinearRegression] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LinearSVC-LinearSVC] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LinearSVR-LinearSVR] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LocalOutlierFactor-LocalOutlierFactor] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LocallyLinearEmbedding-LocallyLinearEmbedding] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LogisticRegression-LogisticRegression] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[LogisticRegressionCV-LogisticRegressionCV] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MDS-MDS] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MLPClassifier-MLPClassifier] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MLPRegressor-MLPRegressor] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MaxAbsScaler-MaxAbsScaler] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MeanShift-MeanShift] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MinCovDet-MinCovDet] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MinMaxScaler-MinMaxScaler] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MiniBatchDictionaryLearning-MiniBatchDictionaryLearning] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MiniBatchKMeans-MiniBatchKMeans] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MiniBatchNMF-MiniBatchNMF] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MiniBatchSparsePCA-MiniBatchSparsePCA] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MissingIndicator-MissingIndicator] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MultiLabelBinarizer-MultiLabelBinarizer] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MultiOutputClassifier-MultiOutputClassifier] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MultiOutputRegressor-MultiOutputRegressor] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MultiTaskElasticNet-MultiTaskElasticNet] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MultiTaskElasticNetCV-MultiTaskElasticNetCV] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MultiTaskLasso-MultiTaskLasso] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MultiTaskLassoCV-MultiTaskLassoCV] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[MultinomialNB-MultinomialNB] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[NMF-NMF] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[NearestCentroid-NearestCentroid] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[NearestNeighbors-NearestNeighbors] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[NeighborhoodComponentsAnalysis-NeighborhoodComponentsAnalysis] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[Normalizer-Normalizer] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[NuSVC-NuSVC] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[NuSVR-NuSVR] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[Nystroem-Nystroem] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[OAS-OAS] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[OPTICS-OPTICS] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[OneClassSVM-OneClassSVM] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[OneHotEncoder-OneHotEncoder] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[OneVsOneClassifier-OneVsOneClassifier] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[OneVsRestClassifier-OneVsRestClassifier] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[OrdinalEncoder-OrdinalEncoder] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[OrthogonalMatchingPursuit-OrthogonalMatchingPursuit] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[OrthogonalMatchingPursuitCV-OrthogonalMatchingPursuitCV] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[OutputCodeClassifier-OutputCodeClassifier] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[PCA-PCA] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[PLSCanonical-PLSCanonical] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[PLSRegression-PLSRegression] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[PLSSVD-PLSSVD] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[PassiveAggressiveClassifier-PassiveAggressiveClassifier] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[PassiveAggressiveRegressor-PassiveAggressiveRegressor] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[PatchExtractor-PatchExtractor] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[Perceptron-Perceptron] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[Pipeline-Pipeline] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[PoissonRegressor-PoissonRegressor] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[PolynomialCountSketch-PolynomialCountSketch] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[PolynomialFeatures-PolynomialFeatures] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[PowerTransformer-PowerTransformer] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[QuadraticDiscriminantAnalysis-QuadraticDiscriminantAnalysis] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[QuantileRegressor-QuantileRegressor] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[QuantileTransformer-QuantileTransformer] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RANSACRegressor-RANSACRegressor] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RBFSampler-RBFSampler] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RFE-RFE] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RFECV-RFECV] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RadiusNeighborsClassifier-RadiusNeighborsClassifier] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RadiusNeighborsRegressor-RadiusNeighborsRegressor] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RadiusNeighborsTransformer-RadiusNeighborsTransformer] SKIPPED
960s ../../../usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py::test_fit_docstring_attributes[RandomForestClassifier-RandomForestClassifier] SKIPPED
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1035s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis1[float32-csc_array-Xw4-X4-weights4] PASSED
1035s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis1[float32-csc_array-Xw5-X5-weights5] PASSED
1035s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis1[float32-csr_matrix-Xw0-X0-weights0] PASSED
1035s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis1[float32-csr_matrix-Xw1-X1-weights1] PASSED
1035s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis1[float32-csr_matrix-Xw2-X2-None] PASSED
1035s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis1[float32-csr_matrix-Xw3-X3-weights3] PASSED
1035s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis1[float32-csr_matrix-Xw4-X4-weights4] PASSED
1035s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis1[float32-csr_matrix-Xw5-X5-weights5] PASSED
1035s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis1[float32-csr_array-Xw0-X0-weights0] PASSED
1035s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_weighted_axis1[float32-csr_array-Xw1-X1-weights1] PASSED
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../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
1035s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis[lil_matrix-csr_matrix-csc_matrix] PASSED
1035s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis[lil_matrix-csr_matrix-csc_array] PASSED
1035s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis[lil_matrix-csr_array-csc_matrix] PASSED
1035s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis[lil_matrix-csr_array-csc_array] PASSED
1035s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis[lil_array-csr_matrix-csc_matrix] PASSED
1035s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis[lil_array-csr_matrix-csc_array] PASSED
1035s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis[lil_array-csr_array-csc_matrix] PASSED
1035s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis[lil_array-csr_array-csc_array] PASSED
1035s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_dim_mismatch[csc_matrix] PASSED
1035s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_dim_mismatch[csc_array] PASSED
1035s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_dim_mismatch[csr_matrix] PASSED
1035s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_dim_mismatch[csr_array] PASSED
1035s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_equivalence_mean_variance[csr_matrix-X10-X20] PASSED
1035s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_equivalence_mean_variance[csr_matrix-X11-X21] PASSED
1035s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_equivalence_mean_variance[csr_array-X10-X20] PASSED
1035s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_equivalence_mean_variance[csr_array-X11-X21] PASSED
1035s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_no_new_n PASSED
1035s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_n_float PASSED
1035s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_ignore_nan[csc_matrix-0] PASSED
1035s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_ignore_nan[csc_matrix-1] PASSED
1035s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_ignore_nan[csc_array-0] PASSED
1035s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_ignore_nan[csc_array-1] PASSED
1035s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_ignore_nan[csr_matrix-0] PASSED
1035s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_ignore_nan[csr_matrix-1] PASSED
1035s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_ignore_nan[csr_array-0] PASSED
1035s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_incr_mean_variance_axis_ignore_nan[csr_array-1] PASSED
1035s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_mean_variance_illegal_axis[csr_matrix] PASSED
1035s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_mean_variance_illegal_axis[csr_array] PASSED
1035s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py::test_densify_rows[csr_matrix] PASSED
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1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_num_features_errors_1d_containers[list-int] PASSED
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1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_num_features_errors_1d_containers[array-dict] PASSED
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1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_get_feature_names_pandas_with_ints_no_warning[list-int] SKIPPED
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1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_get_feature_names_dataframe_protocol[pyarrow-12.0.0] SKIPPED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_get_feature_names_dataframe_protocol[dataframe-1.5.0] SKIPPED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_get_feature_names_dataframe_protocol[polars-0.18.2] SKIPPED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_is_pandas_df_other_libraries[pyarrow] SKIPPED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_is_pandas_df_other_libraries[dataframe] SKIPPED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_is_pandas_df_other_libraries[polars] SKIPPED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_is_pandas_df SKIPPED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_is_pandas_df_pandas_not_installed PASSED
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1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_is_polars_df_other_libraries[polars-0.19.12] SKIPPED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_is_polars_df_for_duck_typed_polars_dataframe PASSED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_get_feature_names_numpy PASSED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_get_feature_names_invalid_dtypes[int-str] SKIPPED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_get_feature_names_invalid_dtypes[list-str] SKIPPED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_check_feature_names_in PASSED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_check_feature_names_in_pandas SKIPPED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_check_response_method_unknown_method PASSED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_check_response_method_not_supported_response_method[decision_function] PASSED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_check_response_method_not_supported_response_method[predict_proba] PASSED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_check_response_method_not_supported_response_method[predict] PASSED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_check_response_method_list_str PASSED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_boolean_series_remains_boolean SKIPPED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_pandas_array_returns_ndarray[input_values0] SKIPPED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_pandas_array_returns_ndarray[input_values1] SKIPPED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_check_array_array_api_has_non_finite[numpy.array_api] SKIPPED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_check_array_array_api_has_non_finite[cupy.array_api] SKIPPED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_check_array_multiple_extensions[True-boolean-bool] SKIPPED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_check_array_multiple_extensions[True-Int64-int64] SKIPPED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_check_array_multiple_extensions[True-Float64-float64] SKIPPED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_check_array_multiple_extensions[True-category-object] SKIPPED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_check_array_multiple_extensions[False-boolean-bool] SKIPPED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_check_array_multiple_extensions[False-Int64-int64] SKIPPED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_check_array_multiple_extensions[False-Float64-float64] SKIPPED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_check_array_multiple_extensions[False-category-object] SKIPPED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_num_samples_dataframe_protocol SKIPPED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_check_array_dia_to_int32_indexed_csr_csc_coo[csr-csr_matrix] PASSED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_check_array_dia_to_int32_indexed_csr_csc_coo[csr-csr_array] PASSED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_check_array_dia_to_int32_indexed_csr_csc_coo[csr-csc_matrix] PASSED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_check_array_dia_to_int32_indexed_csr_csc_coo[csr-csc_array] PASSED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_check_array_dia_to_int32_indexed_csr_csc_coo[csr-coo_matrix] PASSED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_check_array_dia_to_int32_indexed_csr_csc_coo[csr-coo_array] PASSED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_check_array_dia_to_int32_indexed_csr_csc_coo[csr-dia_matrix] PASSED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_check_array_dia_to_int32_indexed_csr_csc_coo[csr-dia_array] PASSED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_check_array_dia_to_int32_indexed_csr_csc_coo[csc-csr_matrix] PASSED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_check_array_dia_to_int32_indexed_csr_csc_coo[csc-csr_array] PASSED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_check_array_dia_to_int32_indexed_csr_csc_coo[csc-csc_matrix] PASSED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_check_array_dia_to_int32_indexed_csr_csc_coo[csc-csc_array] PASSED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_check_array_dia_to_int32_indexed_csr_csc_coo[csc-coo_matrix] PASSED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_check_array_dia_to_int32_indexed_csr_csc_coo[csc-coo_array] PASSED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_check_array_dia_to_int32_indexed_csr_csc_coo[csc-dia_matrix] PASSED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_check_array_dia_to_int32_indexed_csr_csc_coo[csc-dia_array] PASSED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_check_array_dia_to_int32_indexed_csr_csc_coo[coo-csr_matrix] PASSED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_check_array_dia_to_int32_indexed_csr_csc_coo[coo-csr_array] PASSED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_check_array_dia_to_int32_indexed_csr_csc_coo[coo-csc_matrix] PASSED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_check_array_dia_to_int32_indexed_csr_csc_coo[coo-csc_array] PASSED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_check_array_dia_to_int32_indexed_csr_csc_coo[coo-coo_matrix] PASSED
1037s ../../../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
1037s ../../../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
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py::test_check_array_dia_to_int32_indexed_csr_csc_coo[coo-dia_array] PASSED
1037s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_weight_vector.py::test_type_invariance[float32-WeightVector32] PASSED
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/tests/test_weight_vector.py::test_type_invariance[float64-WeightVector64] PASSED
1038s 
1038s =============================== warnings summary ===============================
1038s ../../../usr/lib/python3/dist-packages/sklearn/externals/conftest.py:5
1038s   /usr/lib/python3/dist-packages/sklearn/externals/conftest.py:5: PytestRemovedIn9Warning: The (path: py.path.local) argument is deprecated, please use (collection_path: pathlib.Path)
1038s   see https://docs.pytest.org/en/latest/deprecations.html#py-path-local-arguments-for-hooks-replaced-with-pathlib-path
1038s     def pytest_ignore_collect(path, config):
1038s 
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462: SkipTestWarning: Can't instantiate estimator ColumnTransformer parameters ['transformers']
1038s     warnings.warn(msg, SkipTestWarning)
1038s 
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462: SkipTestWarning: Can't instantiate estimator FeatureUnion parameters ['transformer_list']
1038s     warnings.warn(msg, SkipTestWarning)
1038s 
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462: SkipTestWarning: Can't instantiate estimator GridSearchCV parameters ['estimator', 'param_grid']
1038s     warnings.warn(msg, SkipTestWarning)
1038s 
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462: SkipTestWarning: Can't instantiate estimator HalvingGridSearchCV parameters ['estimator', 'param_grid']
1038s     warnings.warn(msg, SkipTestWarning)
1038s 
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462: SkipTestWarning: Can't instantiate estimator HalvingRandomSearchCV parameters ['estimator', 'param_distributions']
1038s     warnings.warn(msg, SkipTestWarning)
1038s 
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462: SkipTestWarning: Can't instantiate estimator Pipeline parameters ['steps']
1038s     warnings.warn(msg, SkipTestWarning)
1038s 
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462: SkipTestWarning: Can't instantiate estimator RandomizedSearchCV parameters ['estimator', 'param_distributions']
1038s     warnings.warn(msg, SkipTestWarning)
1038s 
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462
1038s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:462: SkipTestWarning: Can't instantiate estimator SparseCoder parameters ['dictionary']
1038s     warnings.warn(msg, SkipTestWarning)
1038s 
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:339
1038s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:339: SkipTestWarning: Explicit SKIP via _skip_test tag for estimator ClassifierChain.
1038s     warnings.warn(
1038s 
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:331
1038s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:331: SkipTestWarning: Can't test estimator CountVectorizer which requires input  of type ['string']
1038s     warnings.warn(
1038s 
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:331
1038s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:331: SkipTestWarning: Can't test estimator DictVectorizer which requires input  of type ['dict']
1038s     warnings.warn(
1038s 
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:331
1038s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:331: SkipTestWarning: Can't test estimator FeatureHasher which requires input  of type ['dict']
1038s     warnings.warn(
1038s 
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:331
1038s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:331: SkipTestWarning: Can't test estimator HashingVectorizer which requires input  of type ['string']
1038s     warnings.warn(
1038s 
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:331
1038s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:331: SkipTestWarning: Can't test estimator IsotonicRegression which requires input  of type ['1darray']
1038s     warnings.warn(
1038s 
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:331
1038s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:331: SkipTestWarning: Can't test estimator LabelBinarizer which requires input  of type ['1dlabels']
1038s     warnings.warn(
1038s 
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:331
1038s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:331: SkipTestWarning: Can't test estimator LabelEncoder which requires input  of type ['1dlabels']
1038s     warnings.warn(
1038s 
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:331
1038s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:331: SkipTestWarning: Can't test estimator MultiLabelBinarizer which requires input  of type ['2dlabels']
1038s     warnings.warn(
1038s 
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:339
1038s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:339: SkipTestWarning: Explicit SKIP via _skip_test tag for estimator MultiOutputClassifier.
1038s     warnings.warn(
1038s 
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:331
1038s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:331: SkipTestWarning: Can't test estimator PatchExtractor which requires input  of type ['3darray']
1038s     warnings.warn(
1038s 
1038s ../../../usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:331
1038s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:331: SkipTestWarning: Can't test estimator TfidfVectorizer which requires input  of type ['string']
1038s     warnings.warn(
1038s 
1038s sklearn/utils/_typedefs.pyx:20
1038s   sklearn/utils/_typedefs.pyx:20: PytestCollectionWarning: cannot collect 'testing_make_array_from_typed_val' because it is not a function.
1038s 
1038s cluster/tests/test_affinity_propagation.py::test_affinity_propagation_equal_points
1038s   /usr/lib/python3/dist-packages/sklearn/cluster/_affinity_propagation.py:52: UserWarning: All samples have mutually equal similarities. Returning arbitrary cluster center(s).
1038s     warnings.warn(
1038s 
1038s cluster/tests/test_bicluster.py::test_n_features_in_[est0]
1038s preprocessing/tests/test_discretization.py::test_redundant_bins[kmeans-expected_bin_edges1]
1038s   /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.
1038s     return fit_method(estimator, *args, **kwargs)
1038s 
1038s cluster/tests/test_birch.py::test_birch_predict[42-float64]
1038s   /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.
1038s     warnings.warn(
1038s 
1038s cluster/tests/test_dbscan.py: 10 warnings
1038s manifold/tests/test_isomap.py: 1 warning
1038s neighbors/tests/test_neighbors.py: 122 warnings
1038s utils/tests/test_estimator_checks.py: 10 warnings
1038s   /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.
1038s     warnings.warn(
1038s 
1038s cluster/tests/test_hdbscan.py::test_hdbscan_usable_inputs[kwargs0-X0]
1038s   /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.
1038s     warn(
1038s 
1038s cluster/tests/test_hierarchical.py::test_affinity_passed_to_fix_connectivity
1038s   /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.
1038s     connectivity, n_connected_components = _fix_connectivity(
1038s 
1038s cluster/tests/test_spectral.py::test_spectral_clustering_np_matrix_raises
1038s   /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.
1038s     X = np.matrix([[0.0, 2.0], [2.0, 0.0]])
1038s 
1038s compose/tests/test_target.py::test_transform_target_regressor_invertible
1038s   /usr/lib/python3/dist-packages/sklearn/preprocessing/_function_transformer.py:217: UserWarning: The provided functions are not strictly inverse of each other. If you are sure you want to proceed regardless, set 'check_inverse=False'.
1038s     warnings.warn(
1038s 
1038s covariance/tests/test_graphical_lasso.py::test_graphical_lasso_n_iter[cd]
1038s   /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
1038s     coefs, _, _, _ = cd_fast.enet_coordinate_descent_gram(
1038s 
1038s covariance/tests/test_graphical_lasso.py::test_graphical_lasso_n_iter[cd]
1038s   /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: 0.0010103266374814623, tolerance: 8.968620303769867e-05
1038s     coefs, _, _, _ = cd_fast.enet_coordinate_descent_gram(
1038s 
1038s covariance/tests/test_graphical_lasso.py::test_graphical_lasso_n_iter[cd]
1038s   /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: 0.00229048855645711, tolerance: 0.00011435637954661185
1038s     coefs, _, _, _ = cd_fast.enet_coordinate_descent_gram(
1038s 
1038s covariance/tests/test_graphical_lasso.py::test_graphical_lasso_n_iter[cd]
1038s   /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
1038s     warnings.warn(
1038s 
1038s covariance/tests/test_graphical_lasso.py: 20 warnings
1038s   /usr/lib/python3/dist-packages/sklearn/covariance/_empirical_covariance.py:102: UserWarning: Only one sample available. You may want to reshape your data array
1038s     warnings.warn(
1038s 
1038s covariance/tests/test_graphical_lasso.py::test_graphical_lasso_cv
1038s   /usr/lib/python3/dist-packages/numpy/core/_methods.py:173: RuntimeWarning: invalid value encountered in subtract
1038s     x = asanyarray(arr - arrmean)
1038s 
1038s covariance/tests/test_robust_covariance.py::test_mcd_issue3367[42]
1038s   /usr/lib/python3/dist-packages/sklearn/covariance/_robust_covariance.py:747: UserWarning: The covariance matrix associated to your dataset is not full rank
1038s     warnings.warn(
1038s 
1038s datasets/tests/test_openml.py::test_dataset_with_openml_error[True]
1038s datasets/tests/test_openml.py::test_dataset_with_openml_error[False]
1038s   /usr/lib/python3/dist-packages/sklearn/datasets/_openml.py:1032: UserWarning: Version 2 of dataset anneal is inactive, meaning that issues have been found in the dataset. Try using a newer version from this URL: https://www.openml.org/data/v1/download/1/anneal.arff
1038s     warn(
1038s 
1038s datasets/tests/test_svmlight_format.py: 16 warnings
1038s   /usr/lib/python3/dist-packages/scipy/sparse/_data.py:72: RuntimeWarning: invalid value encountered in cast
1038s     self.data.astype(dtype, casting=casting, copy=True),
1038s 
1038s datasets/tests/test_svmlight_format.py: 12 warnings
1038s   /usr/lib/python3/dist-packages/sklearn/datasets/tests/test_svmlight_format.py:290: RuntimeWarning: invalid value encountered in cast
1038s     X_input = X.astype(dtype)
1038s 
1038s decomposition/tests/test_kernel_pca.py: 28 warnings
1038s linear_model/tests/test_passive_aggressive.py: 2 warnings
1038s tests/test_multioutput.py: 39 warnings
1038s utils/tests/test_estimator_checks.py: 1 warning
1038s   /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.
1038s     warnings.warn(
1038s 
1038s decomposition/tests/test_nmf.py::test_nmf_fit_close[NMF-solver1]
1038s   /usr/lib/python3/dist-packages/sklearn/decomposition/_nmf.py:1770: ConvergenceWarning: Maximum number of iterations 600 reached. Increase it to improve convergence.
1038s     warnings.warn(
1038s 
1038s decomposition/tests/test_nmf.py::test_nmf_transform[mu]
1038s decomposition/tests/test_nmf.py::test_nmf_regularization[NMF-solver0]
1038s   /usr/lib/python3/dist-packages/sklearn/decomposition/_nmf.py:1770: ConvergenceWarning: Maximum number of iterations 200 reached. Increase it to improve convergence.
1038s     warnings.warn(
1038s 
1038s decomposition/tests/test_nmf.py: 24 warnings
1038s   /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.
1038s     warnings.warn(
1038s 
1038s decomposition/tests/test_nmf.py::test_non_negative_factorization_consistency[0.0-1.0-cd-random]
1038s decomposition/tests/test_nmf.py::test_non_negative_factorization_consistency[0.0-1.0-cd-random]
1038s decomposition/tests/test_nmf.py::test_non_negative_factorization_consistency[0.0-1.0-cd-nndsvd]
1038s decomposition/tests/test_nmf.py::test_non_negative_factorization_consistency[0.0-1.0-cd-nndsvd]
1038s decomposition/tests/test_nmf.py::test_non_negative_factorization_consistency[1.0-0.0-cd-random]
1038s decomposition/tests/test_nmf.py::test_non_negative_factorization_consistency[1.0-0.0-cd-random]
1038s decomposition/tests/test_nmf.py::test_non_negative_factorization_consistency[1.0-0.0-cd-nndsvd]
1038s decomposition/tests/test_nmf.py::test_non_negative_factorization_consistency[1.0-0.0-cd-nndsvd]
1038s   /usr/lib/python3/dist-packages/sklearn/decomposition/_nmf.py:1770: ConvergenceWarning: Maximum number of iterations 500 reached. Increase it to improve convergence.
1038s     warnings.warn(
1038s 
1038s decomposition/tests/test_nmf.py::test_nmf_negative_beta_loss[csr_matrix]
1038s decomposition/tests/test_nmf.py::test_nmf_negative_beta_loss[csr_array]
1038s   /usr/lib/python3/dist-packages/sklearn/decomposition/_nmf.py:181: RuntimeWarning: divide by zero encountered in power
1038s     sum_WH_beta = np.sum(WH**beta)
1038s 
1038s decomposition/tests/test_nmf.py::test_nmf_dtype_match[MiniBatchNMF-solver2-float64-float64]
1038s decomposition/tests/test_nmf.py::test_nmf_dtype_match[MiniBatchNMF-solver2-float64-float64]
1038s decomposition/tests/test_nmf.py::test_nmf_n_components_auto[MiniBatchNMF]
1038s   /usr/lib/python3/dist-packages/sklearn/decomposition/_nmf.py:2353: ConvergenceWarning: Maximum number of iterations 200 reached. Increase it to improve convergence.
1038s     warnings.warn(
1038s 
1038s decomposition/tests/test_nmf.py::test_nmf_n_components_default_value_warning
1038s   /usr/lib/python3/dist-packages/sklearn/decomposition/_nmf.py:1257: RuntimeWarning: When init!='custom', provided W or H are ignored. Set  init='custom' to use them as initialization.
1038s     warnings.warn(
1038s 
1038s decomposition/tests/test_online_lda.py::test_lda_empty_docs[csr_matrix]
1038s decomposition/tests/test_online_lda.py::test_lda_empty_docs[csr_array]
1038s   /usr/lib/python3/dist-packages/sklearn/decomposition/_lda.py:894: RuntimeWarning: invalid value encountered in scalar divide
1038s     perword_bound = bound / word_cnt
1038s 
1038s ensemble/tests/test_bagging.py: 32 warnings
1038s   /usr/lib/python3/dist-packages/sklearn/ensemble/_bagging.py:914: RuntimeWarning: divide by zero encountered in log
1038s     log_proba = np.log(self.predict_proba(X))
1038s 
1038s ensemble/tests/test_bagging.py::test_oob_score_classification
1038s ensemble/tests/test_bagging.py::test_oob_score_classification
1038s ensemble/tests/test_bagging.py::test_oob_score_removed_on_warm_start
1038s   /usr/lib/python3/dist-packages/sklearn/ensemble/_bagging.py:775: RuntimeWarning: invalid value encountered in divide
1038s     oob_decision_function = predictions / predictions.sum(axis=1)[:, np.newaxis]
1038s 
1038s ensemble/tests/test_bagging.py::test_oob_score_removed_on_warm_start
1038s   /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.
1038s     warn(
1038s 
1038s ensemble/tests/test_bagging.py: 4 warnings
1038s tree/tests/test_tree.py: 73 warnings
1038s utils/tests/test_response.py: 1 warning
1038s   /usr/lib/python3/dist-packages/sklearn/tree/_classes.py:1074: RuntimeWarning: divide by zero encountered in log
1038s     return np.log(proba)
1038s 
1038s ensemble/tests/test_forest.py::test_class_weight_errors[ExtraTreesClassifier]
1038s ensemble/tests/test_forest.py::test_class_weight_errors[ExtraTreesClassifier]
1038s ensemble/tests/test_forest.py::test_class_weight_errors[RandomForestClassifier]
1038s ensemble/tests/test_forest.py::test_class_weight_errors[RandomForestClassifier]
1038s   /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.
1038s     warn(
1038s 
1038s ensemble/tests/test_forest.py::test_mse_criterion_object_segfault_smoke_test[ExtraTreesRegressor]
1038s ensemble/tests/test_forest.py::test_mse_criterion_object_segfault_smoke_test[RandomForestRegressor]
1038s   /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().
1038s     return fit_method(estimator, *args, **kwargs)
1038s 
1038s ensemble/tests/test_stacking.py: 30 warnings
1038s neural_network/tests/test_mlp.py: 1 warning
1038s   /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.
1038s     warnings.warn(
1038s 
1038s ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME]
1038s ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME]
1038s ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME]
1038s ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME]
1038s ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME]
1038s ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME]
1038s ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME]
1038s ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME]
1038s ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME]
1038s   /usr/lib/python3/dist-packages/sklearn/ensemble/_weight_boosting.py:696: RuntimeWarning: divide by zero encountered in log
1038s     np.log(sample_weight)
1038s 
1038s ensemble/tests/test_weight_boosting.py: 21 warnings
1038s   /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.
1038s     warnings.warn(
1038s 
1038s ensemble/tests/test_weight_boosting.py::test_sample_weights_infinite
1038s   /usr/lib/python3/dist-packages/sklearn/ensemble/_weight_boosting.py:695: RuntimeWarning: overflow encountered in exp
1038s     sample_weight = np.exp(
1038s 
1038s feature_extraction/tests/test_text.py::test_vectorizer_pipeline_grid_selection
1038s   /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.
1038s     warnings.warn(
1038s 
1038s feature_extraction/tests/test_text.py::test_vectorizer_stop_words_inconsistent
1038s feature_extraction/tests/test_text.py::test_vectorizer_stop_words_inconsistent
1038s feature_extraction/tests/test_text.py::test_vectorizer_stop_words_inconsistent
1038s   /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.
1038s     warnings.warn(
1038s 
1038s feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None-<lambda>-ngram_range3-\\w+-<lambda>-'preprocessor'-'analyzer'-is callable-CountVectorizer]
1038s feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None-<lambda>-ngram_range3-\\w+-<lambda>-'preprocessor'-'analyzer'-is callable-HashingVectorizer]
1038s feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None-<lambda>-ngram_range3-\\w+-<lambda>-'preprocessor'-'analyzer'-is callable-TfidfVectorizer]
1038s feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None-<lambda>-ngram_range3-\\w+-<lambda>-'preprocessor'-'analyzer'-is callable-TfidfVectorizer]
1038s   /usr/lib/python3/dist-packages/sklearn/feature_extraction/text.py:555: UserWarning: The parameter 'token_pattern' will not be used since 'analyzer' != 'word'
1038s     warnings.warn(
1038s 
1038s feature_selection/tests/test_feature_select.py::test_invalid_k
1038s feature_selection/tests/test_feature_select.py::test_invalid_k
1038s   /usr/lib/python3/dist-packages/sklearn/feature_selection/_univariate_selection.py:112: UserWarning: Features [0] are constant.
1038s     warnings.warn("Features %s are constant." % constant_features_idx, UserWarning)
1038s 
1038s feature_selection/tests/test_feature_select.py::test_invalid_k
1038s feature_selection/tests/test_feature_select.py::test_invalid_k
1038s feature_selection/tests/test_feature_select.py::test_f_classif_constant_feature
1038s   /usr/lib/python3/dist-packages/sklearn/feature_selection/_univariate_selection.py:113: RuntimeWarning: invalid value encountered in divide
1038s     f = msb / msw
1038s 
1038s feature_selection/tests/test_from_model.py::test_inferred_max_features_integer[0]
1038s feature_selection/tests/test_from_model.py::test_coef_default_threshold[estimator1]
1038s feature_selection/tests/test_from_model.py::test_coef_default_threshold[estimator2]
1038s feature_selection/tests/test_from_model.py::test_coef_default_threshold[estimator3]
1038s   /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.
1038s     warnings.warn(
1038s 
1038s feature_selection/tests/test_rfe.py: 48 warnings
1038s model_selection/tests/test_search.py: 30 warnings
1038s svm/tests/test_svm.py: 17 warnings
1038s tests/test_calibration.py: 16 warnings
1038s   /usr/lib/python3/dist-packages/sklearn/svm/_base.py:1237: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.
1038s     warnings.warn(
1038s 
1038s feature_selection/tests/test_variance_threshold.py::test_variance_nan[None]
1038s   /usr/lib/python3/dist-packages/sklearn/feature_selection/_variance_threshold.py:112: RuntimeWarning: Degrees of freedom <= 0 for slice.
1038s     self.variances_ = np.nanvar(X, axis=0)
1038s 
1038s feature_selection/tests/test_variance_threshold.py::test_variance_nan[None]
1038s feature_selection/tests/test_variance_threshold.py::test_variance_nan[bsr_matrix]
1038s feature_selection/tests/test_variance_threshold.py::test_variance_nan[bsr_array]
1038s feature_selection/tests/test_variance_threshold.py::test_variance_nan[csc_matrix]
1038s feature_selection/tests/test_variance_threshold.py::test_variance_nan[csc_array]
1038s feature_selection/tests/test_variance_threshold.py::test_variance_nan[csr_matrix]
1038s feature_selection/tests/test_variance_threshold.py::test_variance_nan[csr_array]
1038s   /usr/lib/python3/dist-packages/sklearn/feature_selection/_variance_threshold.py:120: RuntimeWarning: All-NaN slice encountered
1038s     self.variances_ = np.nanmin(compare_arr, axis=0)
1038s 
1038s gaussian_process/tests/test_gpc.py: 12 warnings
1038s   /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.
1038s     warnings.warn(
1038s 
1038s gaussian_process/tests/test_gpc.py::test_random_starts[42]
1038s gaussian_process/tests/test_gpr.py::test_constant_target[kernel3]
1038s   /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.
1038s     warnings.warn(
1038s 
1038s gaussian_process/tests/test_gpc.py::test_multi_class[kernel0]
1038s gaussian_process/tests/test_gpc.py::test_multi_class_n_jobs[kernel0]
1038s gaussian_process/tests/test_gpc.py::test_multi_class_n_jobs[kernel0]
1038s gaussian_process/tests/test_gpr.py::test_constant_target[kernel0]
1038s   /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.
1038s     warnings.warn(
1038s 
1038s gaussian_process/tests/test_gpr.py: 24 warnings
1038s   /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.
1038s     warnings.warn(
1038s 
1038s gaussian_process/tests/test_gpr.py: 13 warnings
1038s   /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.
1038s     warnings.warn(
1038s 
1038s gaussian_process/tests/test_gpr.py::test_random_starts
1038s   /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.
1038s     warnings.warn(
1038s 
1038s gaussian_process/tests/test_gpr.py::test_random_starts
1038s   /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.
1038s     warnings.warn(
1038s 
1038s gaussian_process/tests/test_gpr.py::test_bound_check_fixed_hyperparameter
1038s   /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.
1038s     warnings.warn(
1038s 
1038s gaussian_process/tests/test_gpr.py::test_constant_target[kernel2]
1038s   /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.
1038s     warnings.warn(
1038s 
1038s gaussian_process/tests/test_gpr.py::test_constant_target[kernel3]
1038s   /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.
1038s     warnings.warn(
1038s 
1038s gaussian_process/tests/test_gpr.py::test_constant_target[kernel4]
1038s gaussian_process/tests/test_gpr.py::test_constant_target[kernel5]
1038s   /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.
1038s     warnings.warn(
1038s 
1038s gaussian_process/tests/test_gpr.py::test_constant_target[kernel4]
1038s gaussian_process/tests/test_gpr.py::test_constant_target[kernel5]
1038s   /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.
1038s     warnings.warn(
1038s 
1038s gaussian_process/tests/test_gpr.py::test_gpr_fit_error[params1-ValueError-requires that all bounds are finite]
1038s   /usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:360: RuntimeWarning: invalid value encountered in log
1038s     return np.log(np.vstack(bounds))
1038s 
1038s gaussian_process/tests/test_gpr.py::test_gpr_predict_input_not_modified
1038s   /usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:455: ConvergenceWarning: The optimal value found for dimension 0 of parameter constant_value is close to the specified upper bound 100000.0. Increasing the bound and calling fit again may find a better value.
1038s     warnings.warn(
1038s 
1038s gaussian_process/tests/test_gpr.py::test_gpr_predict_input_not_modified
1038s   /usr/lib/python3/dist-packages/sklearn/gaussian_process/_gpr.py:479: UserWarning: Predicted variances smaller than 0. Setting those variances to 0.
1038s     warnings.warn(
1038s 
1038s impute/tests/test_impute.py::test_imputation_mean_median[csc_matrix]
1038s impute/tests/test_impute.py::test_imputation_mean_median[csc_array]
1038s impute/tests/test_impute.py::test_iterative_imputer_no_missing
1038s impute/tests/test_impute.py::test_iterative_imputer_no_missing
1038s impute/tests/test_impute.py::test_iterative_imputer_no_missing
1038s impute/tests/test_impute.py::test_simple_imputer_keep_empty_features[False-mean-array]
1038s impute/tests/test_impute.py::test_simple_imputer_keep_empty_features[False-mean-array]
1038s impute/tests/test_impute.py::test_simple_imputer_keep_empty_features[False-mean-sparse]
1038s   /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'.
1038s     warnings.warn(
1038s 
1038s impute/tests/test_impute.py::test_imputation_mean_median[csc_matrix]
1038s impute/tests/test_impute.py::test_imputation_mean_median[csc_array]
1038s impute/tests/test_impute.py::test_simple_imputer_keep_empty_features[False-median-array]
1038s impute/tests/test_impute.py::test_simple_imputer_keep_empty_features[False-median-array]
1038s impute/tests/test_impute.py::test_simple_imputer_keep_empty_features[False-median-sparse]
1038s   /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'.
1038s     warnings.warn(
1038s 
1038s impute/tests/test_impute.py: 10 warnings
1038s   /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'.
1038s     warnings.warn(
1038s 
1038s impute/tests/test_impute.py: 32 warnings
1038s   /usr/lib/python3/dist-packages/sklearn/impute/_iterative.py:801: ConvergenceWarning: [IterativeImputer] Early stopping criterion not reached.
1038s     warnings.warn(
1038s 
1038s impute/tests/test_impute.py::test_iterative_imputer_all_missing
1038s impute/tests/test_impute.py::test_iterative_imputer_all_missing
1038s   /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'.
1038s     warnings.warn(
1038s 
1038s impute/tests/test_impute.py: 4 warnings
1038s impute/tests/test_knn.py: 61 warnings
1038s   /usr/lib/python3/dist-packages/numpy/ma/extras.py:617: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)
1038s     scl = avg.dtype.type(a.count(axis))
1038s 
1038s impute/tests/test_knn.py::test_knn_imputer_with_simple_example[-1-0]
1038s impute/tests/test_knn.py::test_knn_imputer_with_simple_example[nan-0]
1038s impute/tests/test_knn.py::test_knn_imputer_distance_weighted_not_enough_neighbors[-1-0]
1038s impute/tests/test_knn.py::test_knn_imputer_distance_weighted_not_enough_neighbors[-1-0]
1038s impute/tests/test_knn.py::test_knn_imputer_distance_weighted_not_enough_neighbors[nan-0]
1038s impute/tests/test_knn.py::test_knn_imputer_distance_weighted_not_enough_neighbors[nan-0]
1038s metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce[float64]
1038s metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce_none[float64]
1038s   /usr/lib/python3/dist-packages/sklearn/utils/__init__.py:1118: UserWarning: Could not adhere to working_memory config. Currently 0MiB, 1MiB required.
1038s     warnings.warn(
1038s 
1038s inspection/_plot/tests/test_boundary_decision_display.py::test_decision_boundary_display_outlier_detector[contour-predict]
1038s   /usr/lib/python3/dist-packages/sklearn/inspection/_plot/decision_boundary.py:187: UserWarning: No contour levels were found within the data range.
1038s     self.surface_ = plot_func(self.xx0, self.xx1, self.response, **kwargs)
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_lasso_zero
1038s linear_model/tests/test_coordinate_descent.py::test_uniform_targets
1038s linear_model/tests/test_coordinate_descent.py::test_uniform_targets
1038s linear_model/tests/test_coordinate_descent.py::test_uniform_targets
1038s linear_model/tests/test_coordinate_descent.py::test_uniform_targets
1038s   /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
1038s     model = cd_fast.enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_enet_nonfinite_params
1038s neural_network/tests/test_mlp.py::test_nonfinite_params
1038s   /usr/lib/python3/dist-packages/numpy/core/_methods.py:118: RuntimeWarning: overflow encountered in reduce
1038s     ret = umr_sum(arr, axis, dtype, out, keepdims, where=where)
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_enet_nonfinite_params
1038s   /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
1038s     model = cd_fast.enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py: 48 warnings
1038s   /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
1038s     model = cd_fast.enet_coordinate_descent_gram(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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: 1.404036409324171e-15
1038s     model = cd_fast.enet_coordinate_descent_gram(
1038s 
1038s linear_model/tests/test_coordinate_descent.py: 40 warnings
1038s   /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
1038s     model = cd_fast.enet_coordinate_descent_gram(
1038s 
1038s linear_model/tests/test_coordinate_descent.py: 34 warnings
1038s   /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
1038s     model = cd_fast.enet_coordinate_descent_gram(
1038s 
1038s linear_model/tests/test_coordinate_descent.py: 36 warnings
1038s   /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
1038s     model = cd_fast.enet_coordinate_descent_gram(
1038s 
1038s linear_model/tests/test_coordinate_descent.py: 38 warnings
1038s   /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
1038s     model = cd_fast.enet_coordinate_descent_gram(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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
1038s     model = cd_fast.enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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: 1.404036409324171e-15
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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: 2.4868995751603507e-14, tolerance: 1.404036409324171e-15
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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: 1.404036409324171e-15
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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: 1.2858308696095575e-15
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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: 1.2858308696095575e-15
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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: 1.2858308696095575e-15
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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: 6.217248937900877e-14, tolerance: 1.2858308696095575e-15
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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-14, tolerance: 1.2858308696095575e-15
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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: 1.1723955140041653e-13, tolerance: 1.2858308696095575e-15
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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: 1.0302869668521453e-13, tolerance: 1.2858308696095575e-15
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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: 1.2858308696095575e-15
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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: 1.4340335165128714e-15
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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: 1.4340335165128714e-15
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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: 5.861977570020827e-14, tolerance: 1.4340335165128714e-15
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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: 2.4868995751603507e-14, tolerance: 1.4340335165128714e-15
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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: 3.730349362740526e-14, tolerance: 1.4340335165128714e-15
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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: 1.4340335165128714e-15
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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: 2.842170943040401e-14, tolerance: 1.4340335165128714e-15
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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: 3.019806626980426e-14, tolerance: 1.4257797990385112e-15
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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: 1.4257797990385112e-15
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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: 5.5067062021407764e-14, tolerance: 1.4257797990385112e-15
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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: 1.4257797990385112e-15
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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: 1.4257797990385112e-15
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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: 1.4257797990385112e-15
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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: 8.704148513061227e-14, tolerance: 1.4257797990385112e-15
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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: 6.217248937900877e-14, tolerance: 1.4257797990385112e-15
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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: 7.638334409421077e-14, tolerance: 1.4257797990385112e-15
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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: 1.3875425663975809e-15
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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: 1.3875425663975809e-15
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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: 1.3875425663975809e-15
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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: 1.3875425663975809e-15
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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: 1.3875425663975809e-15
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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: 1.3875425663975809e-15
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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: 5.684341886080802e-14, tolerance: 1.3875425663975809e-15
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1]
1038s   /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: 1.7383268216560705e-15
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-ElasticNet-params5]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-ElasticNet-params5]
1038s   /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.
1038s     model = cd_fast.enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-ElasticNet-params5]
1038s linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-ElasticNet-params5]
1038s   /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: 8.519405806421142, tolerance: 1.7383268216560705e-15
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_lasso_alpha_warning
1038s   /usr/lib/python3/dist-packages/sklearn/linear_model/_coordinate_descent.py:678: UserWarning: Coordinate descent with no regularization may lead to unexpected results and is discouraged.
1038s     model = cd_fast.enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py: 60 warnings
1038s   /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
1038s     model = cd_fast.enet_coordinate_descent_gram(
1038s 
1038s linear_model/tests/test_coordinate_descent.py: 20 warnings
1038s   /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
1038s     model = cd_fast.enet_coordinate_descent_multi_task(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_uniform_targets
1038s linear_model/tests/test_coordinate_descent.py::test_uniform_targets
1038s linear_model/tests/test_coordinate_descent.py::test_uniform_targets
1038s linear_model/tests/test_coordinate_descent.py::test_uniform_targets
1038s   /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
1038s     ) = cd_fast.enet_coordinate_descent_multi_task(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_multitask_enet_and_lasso_cv
1038s   /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: 2.5515863893489015, tolerance: 2.1444555087788615
1038s     ) = cd_fast.enet_coordinate_descent_multi_task(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_multitask_enet_and_lasso_cv
1038s   /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: 2.1730065816504367, tolerance: 2.1444555087788615
1038s     ) = cd_fast.enet_coordinate_descent_multi_task(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_check_input_false
1038s   /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
1038s     model = cd_fast.enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_check_input_false
1038s   /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
1038s     model = cd_fast.enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_check_input_false
1038s   /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
1038s     model = cd_fast.enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_check_input_false
1038s   /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
1038s     model = cd_fast.enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_check_input_false
1038s   /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
1038s     model = cd_fast.enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_enet_l1_ratio
1038s   /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: 62.449999999999996, tolerance: 0.013475
1038s     model = cd_fast.enet_coordinate_descent_gram(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_enet_l1_ratio
1038s   /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: 56.96052631578949, tolerance: 0.013075
1038s     model = cd_fast.enet_coordinate_descent_gram(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_enet_l1_ratio
1038s   /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: 61.26368421052631, tolerance: 0.0134
1038s     model = cd_fast.enet_coordinate_descent_gram(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_enet_l1_ratio
1038s   /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: 3.771904761904758, tolerance: 0.0029000000000000002
1038s     model = cd_fast.enet_coordinate_descent_gram(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_enet_l1_ratio
1038s   /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: 25.586363636363632, tolerance: 0.0077
1038s     model = cd_fast.enet_coordinate_descent_gram(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_enet_l1_ratio
1038s   /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: 6.309e+01, tolerance: 1.348e-02 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.
1038s     model = cd_fast.enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_linear_models_cv_fit_with_loky[ElasticNetCV]
1038s   /usr/lib/python3/dist-packages/joblib/parallel.py:366: UserWarning: joblib backend 'loky' is not available on your system, falling back to threading.
1038s     backend = self._check_backend(
1038s 
1038s linear_model/tests/test_coordinate_descent.py::test_enet_ridge_consistency[0.1]
1038s linear_model/tests/test_coordinate_descent.py::test_enet_ridge_consistency[1.0]
1038s linear_model/tests/test_coordinate_descent.py::test_enet_ridge_consistency[1000000.0]
1038s   /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.
1038s     model = cd_fast.enet_coordinate_descent(
1038s 
1038s linear_model/tests/test_huber.py::test_huber_max_iter
1038s linear_model/tests/test_quantile.py::test_quantile_equals_huber_for_low_epsilon[True]
1038s linear_model/tests/test_quantile.py::test_quantile_equals_huber_for_low_epsilon[False]
1038s   /usr/lib/python3/dist-packages/sklearn/linear_model/_huber.py:342: ConvergenceWarning: lbfgs failed to converge (status=1):
1038s   STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.
1038s   
1038s   Increase the number of iterations (max_iter) or scale the data as shown in:
1038s       https://scikit-learn.org/stable/modules/preprocessing.html
1038s     self.n_iter_ = _check_optimize_result("lbfgs", opt_res, self.max_iter)
1038s 
1038s linear_model/tests/test_logistic.py: 1 warning
1038s linear_model/tests/test_ridge.py: 18 warnings
1038s   /usr/lib/python3/dist-packages/sklearn/linear_model/_sag.py:350: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
1038s     warnings.warn(
1038s 
1038s linear_model/tests/test_omp.py::test_unreachable_accuracy
1038s linear_model/tests/test_omp.py::test_unreachable_accuracy
1038s linear_model/tests/test_omp.py::test_omp_cv
1038s linear_model/tests/test_omp.py::test_omp_cv
1038s linear_model/tests/test_omp.py::test_omp_cv
1038s linear_model/tests/test_omp.py::test_omp_cv
1038s   /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.
1038s     out = _cholesky_omp(
1038s 
1038s linear_model/tests/test_passive_aggressive.py: 12 warnings
1038s tests/test_multioutput.py: 1 warning
1038s   /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.
1038s     warnings.warn(
1038s 
1038s linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized[wide-42-True-cholesky]
1038s   /usr/lib/python3/dist-packages/sklearn/linear_model/_ridge.py:241: LinAlgWarning: Ill-conditioned matrix (rcond=2.9879e-17): result may not be accurate.
1038s     dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False)
1038s 
1038s linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[wide-42-True-cholesky]
1038s linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-True-cholesky]
1038s linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-False-cholesky]
1038s   /usr/lib/python3/dist-packages/sklearn/linear_model/_ridge.py:243: UserWarning: Singular matrix in solving dual problem. Using least-squares solution instead.
1038s     warnings.warn(
1038s 
1038s linear_model/tests/test_ridge.py: 54 warnings
1038s model_selection/tests/test_search.py: 16 warnings
1038s   /usr/lib/python3/dist-packages/sklearn/metrics/_regression.py:1187: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
1038s     warnings.warn(msg, UndefinedMetricWarning)
1038s 
1038s linear_model/tests/test_ridge.py::test_ridgecv_sample_weight
1038s linear_model/tests/test_ridge.py::test_ridgecv_sample_weight
1038s linear_model/tests/test_ridge.py::test_ridgecv_sample_weight
1038s linear_model/tests/test_ridge.py::test_ridgecv_sample_weight
1038s   /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]
1038s     warnings.warn(
1038s 
1038s linear_model/tests/test_ridge.py::test_lbfgs_solver_consistency[0.01]
1038s linear_model/tests/test_ridge.py::test_lbfgs_solver_consistency[0.1]
1038s   /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
1038s     warnings.warn(
1038s 
1038s linear_model/tests/test_sgd.py::test_SGDClassifier_fit_for_all_backends[multiprocessing]
1038s   /usr/lib/python3/dist-packages/joblib/parallel.py:366: UserWarning: joblib backend 'multiprocessing' is not available on your system, falling back to threading.
1038s     backend = self._check_backend(
1038s 
1038s linear_model/tests/test_sparse_coordinate_descent.py::test_lasso_zero[csc_matrix]
1038s linear_model/tests/test_sparse_coordinate_descent.py::test_lasso_zero[csc_array]
1038s   /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
1038s     model = cd_fast.sparse_enet_coordinate_descent(
1038s 
1038s manifold/tests/test_isomap.py::test_transform[float64-2-None]
1038s   /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.
1038s     self._fit_transform(X)
1038s 
1038s manifold/tests/test_isomap.py: 133 warnings
1038s utils/tests/test_graph.py: 4 warnings
1038s utils/tests/test_validation.py: 16 warnings
1038s   /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.
1038s     self._set_intXint(row, col, x.flat[0])
1038s 
1038s manifold/tests/test_isomap.py::test_pipeline[float64-2-None]
1038s   /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.
1038s     self._fit_transform(X)
1038s 
1038s manifold/tests/test_isomap.py::test_get_feature_names_out
1038s   /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.
1038s     self._fit_transform(X)
1038s 
1038s metrics/tests/test_classification.py::test_classification_report_output_dict_empty_input
1038s   /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.
1038s     _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
1038s 
1038s metrics/tests/test_classification.py::test_classification_report_output_dict_empty_input
1038s   /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.
1038s     _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
1038s 
1038s metrics/tests/test_classification.py::test_classification_report_output_dict_empty_input
1038s   /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.
1038s     _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
1038s 
1038s metrics/tests/test_classification.py::test_likelihood_ratios_warnings[params0-samples of only one class were seen during testing]
1038s metrics/tests/test_classification.py::test_matthews_corrcoef
1038s   /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.
1038s     warnings.warn(
1038s 
1038s metrics/tests/test_classification.py::test_likelihood_ratios_warnings[params4-no samples of the positive class were present in the testing set]
1038s   /usr/lib/python3/dist-packages/sklearn/metrics/_classification.py:2003: RuntimeWarning: invalid value encountered in scalar divide
1038s     positive_likelihood_ratio = pos_num / pos_denom
1038s 
1038s metrics/tests/test_classification.py::test_likelihood_ratios_warnings[params4-no samples of the positive class were present in the testing set]
1038s   /usr/lib/python3/dist-packages/sklearn/metrics/_classification.py:2010: RuntimeWarning: invalid value encountered in scalar divide
1038s     negative_likelihood_ratio = neg_num / neg_denom
1038s 
1038s metrics/tests/test_classification.py::test_likelihood_ratios
1038s   /usr/lib/python3/dist-packages/sklearn/utils/_param_validation.py:213: UserWarning: positive_likelihood_ratio ill-defined and being set to nan 
1038s     return func(*args, **kwargs)
1038s 
1038s metrics/tests/test_classification.py::test_balanced_accuracy_score[y_true2-y_pred2]
1038s   /usr/lib/python3/dist-packages/sklearn/metrics/_classification.py:2458: UserWarning: y_pred contains classes not in y_true
1038s     warnings.warn("y_pred contains classes not in y_true")
1038s 
1038s metrics/tests/test_classification.py::test_classification_metric_pos_label_types[classes3-precision_recall_fscore_support]
1038s   /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.
1038s     warnings.warn(
1038s 
1038s metrics/tests/test_ranking.py::test_precision_recall_curve_drop_intermediate
1038s   /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.
1038s     warnings.warn(
1038s 
1038s metrics/tests/test_ranking.py::test_top_k_accuracy_score_binary[y_score2-2-1]
1038s metrics/tests/test_ranking.py::test_top_k_accuracy_score_binary[y_score5-2-1]
1038s metrics/tests/test_score_objects.py::test_classification_binary_scores[top_k_accuracy-top_k_accuracy_score]
1038s metrics/tests/test_score_objects.py::test_classification_binary_scores[top_k_accuracy-top_k_accuracy_score]
1038s   /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.
1038s     warnings.warn(
1038s 
1038s metrics/tests/test_regression.py::test_multioutput_regression
1038s   /usr/lib/python3/dist-packages/sklearn/metrics/tests/test_regression.py:174: RuntimeWarning: invalid value encountered in scalar divide
1038s     - np.abs(y_true[:, i] - y_pred[:, i]).sum()
1038s 
1038s metrics/tests/test_regression.py::test_multioutput_regression
1038s metrics/tests/test_regression.py::test_multioutput_regression
1038s metrics/tests/test_regression.py::test_multioutput_regression
1038s metrics/tests/test_regression.py::test_regression_metrics_at_limits
1038s metrics/tests/test_regression.py::test_regression_metrics_at_limits
1038s metrics/tests/test_regression.py::test_regression_multioutput_array
1038s metrics/tests/test_regression.py::test_regression_multioutput_array
1038s metrics/tests/test_regression.py::test_regression_multioutput_array
1038s metrics/tests/test_regression.py::test_regression_multioutput_array
1038s   /usr/lib/python3/dist-packages/sklearn/metrics/_regression.py:866: RuntimeWarning: invalid value encountered in divide
1038s     output_scores = 1 - (numerator / denominator)
1038s 
1038s metrics/tests/test_regression.py::test_multioutput_regression
1038s metrics/tests/test_regression.py::test_regression_metrics_at_limits
1038s metrics/tests/test_regression.py::test_regression_metrics_at_limits
1038s metrics/tests/test_regression.py::test_regression_multioutput_array
1038s   /usr/lib/python3/dist-packages/sklearn/metrics/_regression.py:866: RuntimeWarning: divide by zero encountered in divide
1038s     output_scores = 1 - (numerator / denominator)
1038s 
1038s mixture/tests/test_bayesian_mixture.py: 349 warnings
1038s   /usr/lib/python3/dist-packages/sklearn/mixture/_bayesian_mixture.py:811: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)
1038s     log_wishart = self.n_components * np.float64(
1038s 
1038s mixture/tests/test_gaussian_mixture.py::test_regularisation
1038s mixture/tests/test_gaussian_mixture.py::test_regularisation
1038s mixture/tests/test_gaussian_mixture.py::test_regularisation
1038s mixture/tests/test_gaussian_mixture.py::test_regularisation
1038s mixture/tests/test_gaussian_mixture.py::test_regularisation
1038s mixture/tests/test_gaussian_mixture.py::test_regularisation
1038s mixture/tests/test_gaussian_mixture.py::test_regularisation
1038s mixture/tests/test_gaussian_mixture.py::test_regularisation
1038s   /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.
1038s     return fit_method(estimator, *args, **kwargs)
1038s 
1038s mixture/tests/test_gaussian_mixture.py::test_gaussian_mixture_setting_best_params
1038s mixture/tests/test_mixture.py::test_gaussian_mixture_n_iter[estimator0]
1038s mixture/tests/test_mixture.py::test_gaussian_mixture_n_iter[estimator1]
1038s   /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.
1038s     warnings.warn(
1038s 
1038s model_selection/tests/test_search.py::test_SearchCV_with_fit_params[RandomizedSearchCV]
1038s model_selection/tests/test_search.py::test_SearchCV_with_fit_params[RandomizedSearchCV]
1038s model_selection/tests/test_search.py::test_SearchCV_with_fit_params[RandomizedSearchCV]
1038s model_selection/tests/test_search.py::test_empty_cv_iterator_error
1038s model_selection/tests/test_search.py::test_random_search_bad_cv
1038s   /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.
1038s     warnings.warn(
1038s 
1038s model_selection/tests/test_search.py: 4 warnings
1038s model_selection/tests/test_successive_halving.py: 1 warning
1038s tests/test_metaestimators_metadata_routing.py: 6 warnings
1038s   /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.
1038s     warnings.warn(
1038s 
1038s model_selection/tests/test_search.py::test_random_search_cv_results_multimetric
1038s model_selection/tests/test_search.py::test_random_search_cv_results_multimetric
1038s model_selection/tests/test_search.py::test_random_search_cv_results_multimetric
1038s model_selection/tests/test_search.py::test_random_search_cv_results_multimetric
1038s model_selection/tests/test_search.py::test_random_search_cv_results_multimetric
1038s model_selection/tests/test_search.py::test_random_search_cv_results_multimetric
1038s   /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.
1038s     warnings.warn(
1038s 
1038s model_selection/tests/test_search.py::test_search_cv_results_none_param
1038s model_selection/tests/test_split.py::test_nested_cv
1038s model_selection/tests/test_split.py::test_nested_cv
1038s model_selection/tests/test_split.py::test_nested_cv
1038s model_selection/tests/test_split.py::test_nested_cv
1038s model_selection/tests/test_split.py::test_nested_cv
1038s   /usr/lib/python3/dist-packages/sklearn/model_selection/_search.py:1051: UserWarning: One or more of the test scores are non-finite: [nan nan]
1038s     warnings.warn(
1038s 
1038s model_selection/tests/test_search.py::test_grid_search_failing_classifier
1038s   /usr/lib/python3/dist-packages/sklearn/model_selection/_search.py:1051: UserWarning: One or more of the test scores are non-finite: [0.5 0.5 nan]
1038s     warnings.warn(
1038s 
1038s model_selection/tests/test_search.py: 1 warning
1038s model_selection/tests/test_validation.py: 15 warnings
1038s   /usr/lib/python3/dist-packages/sklearn/linear_model/_stochastic_gradient.py:1367: RuntimeWarning: divide by zero encountered in log
1038s     return np.log(self.predict_proba(X))
1038s 
1038s model_selection/tests/test_search.py::test_search_estimator_param[RandomizedSearchCV-param_distributions]
1038s model_selection/tests/test_search.py::test_multi_metric_search_forwards_metadata[RandomizedSearchCV-param_distributions]
1038s model_selection/tests/test_search.py::test_score_rejects_params_with_no_routing_enabled[RandomizedSearchCV-param_distributions]
1038s   /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.
1038s     warnings.warn(
1038s 
1038s model_selection/tests/test_split.py: 14 warnings
1038s   /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.
1038s     warnings.warn(
1038s 
1038s model_selection/tests/test_split.py: 14 warnings
1038s   /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.
1038s     warnings.warn(
1038s 
1038s model_selection/tests/test_split.py: 14 warnings
1038s   /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.
1038s     warnings.warn(
1038s 
1038s model_selection/tests/test_split.py: 14 warnings
1038s   /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.
1038s     warnings.warn(
1038s 
1038s model_selection/tests/test_split.py: 14 warnings
1038s   /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.
1038s     warnings.warn(
1038s 
1038s model_selection/tests/test_split.py: 14 warnings
1038s   /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.
1038s     warnings.warn(
1038s 
1038s model_selection/tests/test_split.py: 10 warnings
1038s   /usr/lib/python3/dist-packages/numpy/lib/function_base.py:520: RuntimeWarning: Mean of empty slice.
1038s     avg = a.mean(axis, **keepdims_kw)
1038s 
1038s model_selection/tests/test_split.py: 10 warnings
1038s   /usr/lib/python3/dist-packages/numpy/core/_methods.py:129: RuntimeWarning: invalid value encountered in scalar divide
1038s     ret = ret.dtype.type(ret / rcount)
1038s 
1038s model_selection/tests/test_successive_halving.py::test_input_errors[params1-Cannot use parameter a as the resource since it is part of-HalvingRandomSearchCV]
1038s   /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.
1038s     warnings.warn(
1038s 
1038s model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]
1038s model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]
1038s model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]
1038s model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]
1038s   /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.
1038s     warnings.warn(
1038s 
1038s model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]
1038s model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]
1038s model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]
1038s   /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.
1038s     warnings.warn(
1038s 
1038s model_selection/tests/test_validation.py::test_cross_val_predict_decision_function_shape
1038s   /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
1038s     warnings.warn(
1038s 
1038s model_selection/tests/test_validation.py::test_cross_val_predict_decision_function_shape
1038s model_selection/tests/test_validation.py::test_cross_val_predict_class_subset
1038s model_selection/tests/test_validation.py::test_cross_val_predict_class_subset
1038s   /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
1038s     warnings.warn(
1038s 
1038s model_selection/tests/test_validation.py::test_cross_val_predict_unbalanced
1038s model_selection/tests/test_validation.py::test_cross_val_predict_unbalanced
1038s   /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.
1038s     warnings.warn(
1038s 
1038s model_selection/tests/test_validation.py::test_cross_val_predict_unbalanced
1038s   /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
1038s     warnings.warn(
1038s 
1038s model_selection/tests/test_validation.py::test_cross_val_predict_class_subset
1038s model_selection/tests/test_validation.py::test_cross_val_predict_class_subset
1038s model_selection/tests/test_validation.py::test_cross_val_predict_class_subset
1038s model_selection/tests/test_validation.py::test_cross_val_predict_class_subset
1038s model_selection/tests/test_validation.py::test_cross_val_predict_class_subset
1038s   /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
1038s     warnings.warn(
1038s 
1038s neighbors/tests/test_lof.py::test_n_neighbors_attribute
1038s   /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.
1038s     warnings.warn(
1038s 
1038s neighbors/tests/test_lof.py::test_hasattr_prediction
1038s neighbors/tests/test_lof.py::test_hasattr_prediction
1038s   /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.
1038s     warnings.warn(
1038s 
1038s neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_estimators_nan_inf]
1038s neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_estimators_nan_inf]
1038s   /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.
1038s     warnings.warn(
1038s 
1038s neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_classifier_data_not_an_array]
1038s neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_classifier_data_not_an_array]
1038s   /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.
1038s     warnings.warn(
1038s 
1038s neighbors/tests/test_nearest_centroid.py: 46 warnings
1038s   /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.
1038s     warnings.warn(
1038s 
1038s neighbors/tests/test_neighbors.py: 184 warnings
1038s   /usr/lib/python3/dist-packages/numpy/core/numeric.py:407: RuntimeWarning: invalid value encountered in cast
1038s     multiarray.copyto(res, fill_value, casting='unsafe')
1038s 
1038s neighbors/tests/test_neighbors.py: 12 warnings
1038s   /usr/lib/python3/dist-packages/sklearn/neighbors/_classification.py:829: RuntimeWarning: invalid value encountered in divide
1038s     proba_k /= normalizer
1038s 
1038s neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_matrix-KNeighborsClassifier]
1038s neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_matrix-RadiusNeighborsClassifier]
1038s neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_matrix-KNeighborsRegressor]
1038s neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_matrix-RadiusNeighborsRegressor]
1038s neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_array-KNeighborsClassifier]
1038s neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_array-RadiusNeighborsClassifier]
1038s neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_array-KNeighborsRegressor]
1038s neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_array-RadiusNeighborsRegressor]
1038s   /usr/lib/python3/dist-packages/sklearn/neighbors/_base.py:584: UserWarning: cannot use tree with sparse input: using brute force
1038s     warnings.warn("cannot use tree with sparse input: using brute force")
1038s 
1038s neighbors/tests/test_neighbors.py: 11 warnings
1038s   /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.
1038s     return self._fit(X)
1038s 
1038s neighbors/tests/test_neighbors.py::test_valid_brute_metric_for_auto_algorithm[float64-csr_matrix-yule]
1038s neighbors/tests/test_neighbors.py::test_valid_brute_metric_for_auto_algorithm[float64-csr_array-yule]
1038s neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-yule]
1038s neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-yule]
1038s   /usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:2317: DataConversionWarning: Data was converted to boolean for metric yule
1038s     warnings.warn(msg, DataConversionWarning)
1038s 
1038s neighbors/tests/test_neighbors.py::test_radius_neighbors_predict_proba
1038s neighbors/tests/test_neighbors.py::test_radius_neighbors_predict_proba
1038s   /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.
1038s     warnings.warn(
1038s 
1038s neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-dice]
1038s neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-dice]
1038s   /usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:2317: DataConversionWarning: Data was converted to boolean for metric dice
1038s     warnings.warn(msg, DataConversionWarning)
1038s 
1038s neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-jaccard]
1038s neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-jaccard]
1038s   /usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:2317: DataConversionWarning: Data was converted to boolean for metric jaccard
1038s     warnings.warn(msg, DataConversionWarning)
1038s 
1038s neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-rogerstanimoto]
1038s neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-rogerstanimoto]
1038s   /usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:2317: DataConversionWarning: Data was converted to boolean for metric rogerstanimoto
1038s     warnings.warn(msg, DataConversionWarning)
1038s 
1038s neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-russellrao]
1038s neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-russellrao]
1038s   /usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:2317: DataConversionWarning: Data was converted to boolean for metric russellrao
1038s     warnings.warn(msg, DataConversionWarning)
1038s 
1038s neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-sokalmichener]
1038s neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-sokalmichener]
1038s   /usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:2317: DataConversionWarning: Data was converted to boolean for metric sokalmichener
1038s     warnings.warn(msg, DataConversionWarning)
1038s 
1038s neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-sokalsneath]
1038s neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-sokalsneath]
1038s   /usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:2317: DataConversionWarning: Data was converted to boolean for metric sokalsneath
1038s     warnings.warn(msg, DataConversionWarning)
1038s 
1038s neighbors/tests/test_neighbors.py::test_nearest_neighbours_works_with_p_less_than_1
1038s   /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'`.
1038s     warnings.warn(
1038s 
1038s neighbors/tests/test_neighbors_pipeline.py::test_spectral_clustering
1038s neighbors/tests/test_neighbors_pipeline.py::test_spectral_embedding
1038s   /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.
1038s     adjacency = check_symmetric(adjacency)
1038s 
1038s neural_network/tests/test_mlp.py: 11 warnings
1038s   /usr/lib/python3/dist-packages/sklearn/neural_network/_multilayer_perceptron.py:546: ConvergenceWarning: lbfgs failed to converge (status=1):
1038s   STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.
1038s   
1038s   Increase the number of iterations (max_iter) or scale the data as shown in:
1038s       https://scikit-learn.org/stable/modules/preprocessing.html
1038s     self.n_iter_ = _check_optimize_result("lbfgs", opt_res, self.max_iter)
1038s 
1038s neural_network/tests/test_mlp.py::test_nonfinite_params
1038s   /usr/lib/python3/dist-packages/sklearn/neural_network/_base.py:173: RuntimeWarning: overflow encountered in square
1038s     return ((y_true - y_pred) ** 2).mean() / 2
1038s 
1038s neural_network/tests/test_mlp.py::test_nonfinite_params
1038s   /usr/lib/python3/dist-packages/sklearn/utils/extmath.py:208: RuntimeWarning: overflow encountered in matmul
1038s     ret = a @ b
1038s 
1038s neural_network/tests/test_mlp.py::test_nonfinite_params
1038s   /usr/lib/python3/dist-packages/sklearn/neural_network/_stochastic_optimizers.py:276: RuntimeWarning: overflow encountered in square
1038s     self.beta_2 * v + (1 - self.beta_2) * (grad**2)
1038s 
1038s neural_network/tests/test_mlp.py::test_nonfinite_params
1038s   /usr/lib/python3/dist-packages/sklearn/neural_network/_stochastic_optimizers.py:285: RuntimeWarning: invalid value encountered in divide
1038s     -self.learning_rate * m / (np.sqrt(v) + self.epsilon)
1038s 
1038s neural_network/tests/test_mlp.py::test_shuffle
1038s neural_network/tests/test_mlp.py::test_shuffle
1038s neural_network/tests/test_mlp.py::test_shuffle
1038s neural_network/tests/test_mlp.py::test_shuffle
1038s neural_network/tests/test_mlp.py::test_shuffle
1038s neural_network/tests/test_mlp.py::test_shuffle
1038s   /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.
1038s     warnings.warn(
1038s 
1038s neural_network/tests/test_mlp.py::test_warm_start_full_iteration[MLPClassifier]
1038s neural_network/tests/test_mlp.py::test_warm_start_full_iteration[MLPClassifier]
1038s neural_network/tests/test_mlp.py::test_warm_start_full_iteration[MLPRegressor]
1038s neural_network/tests/test_mlp.py::test_warm_start_full_iteration[MLPRegressor]
1038s   /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.
1038s     warnings.warn(
1038s 
1038s neural_network/tests/test_mlp.py::test_mlp_classifier_dtypes_casting
1038s neural_network/tests/test_mlp.py::test_mlp_classifier_dtypes_casting
1038s neural_network/tests/test_mlp.py::test_mlp_regressor_dtypes_casting
1038s neural_network/tests/test_mlp.py::test_mlp_regressor_dtypes_casting
1038s neural_network/tests/test_mlp.py::test_mlp_param_dtypes[MLPClassifier-float32]
1038s neural_network/tests/test_mlp.py::test_mlp_param_dtypes[MLPClassifier-float64]
1038s neural_network/tests/test_mlp.py::test_mlp_param_dtypes[MLPRegressor-float32]
1038s neural_network/tests/test_mlp.py::test_mlp_param_dtypes[MLPRegressor-float64]
1038s   /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.
1038s     warnings.warn(
1038s 
1038s neural_network/tests/test_mlp.py::test_mlp_warm_start_with_early_stopping[MLPClassifier]
1038s neural_network/tests/test_mlp.py::test_mlp_warm_start_with_early_stopping[MLPRegressor]
1038s   /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.
1038s     warnings.warn(
1038s 
1038s neural_network/tests/test_mlp.py::test_mlp_warm_start_with_early_stopping[MLPRegressor]
1038s   /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.
1038s     warnings.warn(
1038s 
1038s preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]
1038s preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]
1038s   /usr/lib/python3/dist-packages/sklearn/utils/extmath.py:1137: RuntimeWarning: invalid value encountered in divide
1038s     updated_mean = (last_sum + new_sum) / updated_sample_count
1038s 
1038s preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]
1038s preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]
1038s   /usr/lib/python3/dist-packages/sklearn/utils/extmath.py:1142: RuntimeWarning: invalid value encountered in divide
1038s     T = new_sum / new_sample_count
1038s 
1038s preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]
1038s preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]
1038s   /usr/lib/python3/dist-packages/sklearn/utils/extmath.py:1162: RuntimeWarning: invalid value encountered in divide
1038s     new_unnormalized_variance -= correction**2 / new_sample_count
1038s 
1038s preprocessing/tests/test_data.py::test_quantile_transform_and_inverse
1038s preprocessing/tests/test_data.py::test_one_to_one_features[QuantileTransformer]
1038s   /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.
1038s     warnings.warn(
1038s 
1038s preprocessing/tests/test_data.py::test_quantile_transform_and_inverse
1038s   /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.
1038s     warnings.warn(
1038s 
1038s preprocessing/tests/test_data.py::test_quantile_transform_nan
1038s   /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.
1038s     warnings.warn(
1038s 
1038s preprocessing/tests/test_data.py::test_quantile_transform_nan
1038s   /usr/lib/python3/dist-packages/numpy/lib/nanfunctions.py:1384: RuntimeWarning: All-NaN slice encountered
1038s     return _nanquantile_unchecked(
1038s 
1038s preprocessing/tests/test_discretization.py::test_fit_transform[quantile-expected5-sample_weight5]
1038s   /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.
1038s     warnings.warn(
1038s 
1038s preprocessing/tests/test_discretization.py::test_fit_transform[quantile-expected5-sample_weight5]
1038s preprocessing/tests/test_discretization.py::test_fit_transform_n_bins_array[quantile-expected4-sample_weight4]
1038s   /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.
1038s     warnings.warn(
1038s 
1038s preprocessing/tests/test_discretization.py::test_fit_transform[quantile-expected5-sample_weight5]
1038s preprocessing/tests/test_discretization.py::test_fit_transform_n_bins_array[quantile-expected4-sample_weight4]
1038s   /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.
1038s     warnings.warn(
1038s 
1038s preprocessing/tests/test_discretization.py::test_fit_transform[quantile-expected5-sample_weight5]
1038s preprocessing/tests/test_discretization.py::test_fit_transform_n_bins_array[quantile-expected4-sample_weight4]
1038s   /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.
1038s     warnings.warn(
1038s 
1038s preprocessing/tests/test_discretization.py::test_same_min_max[uniform]
1038s preprocessing/tests/test_discretization.py::test_same_min_max[kmeans]
1038s   /usr/lib/python3/dist-packages/sklearn/preprocessing/_discretization.py:248: FutureWarning: In version 1.5 onwards, subsample=200_000 will be used by default. Set subsample explicitly to silence this warning in the mean time. Set subsample=None to disable subsampling explicitly.
1038s     warnings.warn(
1038s 
1038s svm/tests/test_svm.py::test_svc_nonfinite_params
1038s   /usr/lib/python3/dist-packages/numpy/core/_methods.py:152: RuntimeWarning: overflow encountered in reduce
1038s     arrmean = umr_sum(arr, axis, dtype, keepdims=True, where=where)
1038s 
1038s tests/test_calibration.py: 10 warnings
1038s   /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
1038s     warnings.warn(
1038s 
1038s tests/test_discriminant_analysis.py::test_qda_regularization
1038s tests/test_discriminant_analysis.py::test_qda_regularization
1038s   /usr/lib/python3/dist-packages/sklearn/discriminant_analysis.py:960: RuntimeWarning: invalid value encountered in multiply
1038s     X2 = np.dot(Xm, R * (S ** (-0.5)))
1038s 
1038s tests/test_metaestimators.py::test_metaestimator_delegation
1038s   /usr/lib/python3/dist-packages/sklearn/semi_supervised/_self_training.py:227: UserWarning: y contains no unlabeled samples
1038s     warnings.warn("y contains no unlabeled samples", UserWarning)
1038s 
1038s tests/test_metaestimators_metadata_routing.py::test_setting_request_on_sub_estimator_removes_error[HalvingRandomSearchCV]
1038s tests/test_metaestimators_metadata_routing.py::test_setting_request_on_sub_estimator_removes_error[HalvingRandomSearchCV]
1038s tests/test_metaestimators_metadata_routing.py::test_non_consuming_estimator_works[HalvingRandomSearchCV]
1038s tests/test_metaestimators_metadata_routing.py::test_metadata_is_routed_correctly_to_scorer[HalvingRandomSearchCV]
1038s tests/test_metaestimators_metadata_routing.py::test_metadata_is_routed_correctly_to_scorer[HalvingRandomSearchCV]
1038s tests/test_metaestimators_metadata_routing.py::test_metadata_is_routed_correctly_to_splitter[HalvingRandomSearchCV]
1038s   /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.
1038s     warnings.warn(
1038s 
1038s tests/test_multiclass.py::test_constant_int_target[ones]
1038s   /usr/lib/python3/dist-packages/sklearn/multiclass.py:90: UserWarning: Label not 1 is present in all training examples.
1038s     warnings.warn(
1038s 
1038s tests/test_multiclass.py::test_constant_int_target[zeros]
1038s   /usr/lib/python3/dist-packages/sklearn/multiclass.py:90: UserWarning: Label not 0 is present in all training examples.
1038s     warnings.warn(
1038s 
1038s tests/test_multioutput.py::test_multi_output_delegate_predict_proba
1038s tests/test_pipeline.py::test_features_names_passthrough
1038s utils/tests/test_estimator_checks.py::test_check_estimator
1038s utils/tests/test_estimator_html_repr.py::test_estimator_html_repr_fitted_icon[estimator0]
1038s   /usr/lib/python3/dist-packages/sklearn/linear_model/_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):
1038s   STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.
1038s   
1038s   Increase the number of iterations (max_iter) or scale the data as shown in:
1038s       https://scikit-learn.org/stable/modules/preprocessing.html
1038s   Please also refer to the documentation for alternative solver options:
1038s       https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression
1038s     n_iter_i = _check_optimize_result(
1038s 
1038s tests/test_multioutput.py::test_classifier_chain_vs_independent_models
1038s tests/test_multioutput.py::test_classifier_chain_vs_independent_models
1038s tests/test_multioutput.py::test_base_chain_crossval_fit_and_predict
1038s   /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.
1038s     _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
1038s 
1038s tests/test_naive_bayes.py::test_alpha_vector
1038s tests/test_naive_bayes.py::test_alpha_vector
1038s   /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.
1038s     warnings.warn(
1038s 
1038s tree/tests/test_tree.py: 14 warnings
1038s   /usr/lib/python3/dist-packages/sklearn/tree/_classes.py:1078: RuntimeWarning: divide by zero encountered in log
1038s     proba[k] = np.log(proba[k])
1038s 
1038s tree/tests/test_tree.py::test_big_input
1038s   /usr/lib/python3/dist-packages/sklearn/utils/_array_api.py:521: RuntimeWarning: overflow encountered in cast
1038s     array = numpy.asarray(array, order=order, dtype=dtype)
1038s 
1038s tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None]
1038s tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_matrix]
1038s tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_array]
1038s   /usr/lib/python3/dist-packages/sklearn/tree/tests/test_tree.py:1783: RuntimeWarning: overflow encountered in cast
1038s     data = np.nan_to_num(data.astype("float32"))
1038s 
1038s tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None]
1038s tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None]
1038s tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_matrix]
1038s tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_array]
1038s   /usr/lib/python3/dist-packages/numpy/core/fromnumeric.py:88: RuntimeWarning: invalid value encountered in reduce
1038s     return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
1038s 
1038s utils/tests/test_estimator_checks.py: 14 warnings
1038s   /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.
1038s     warnings.warn(str(exception), SkipTestWarning)
1038s 
1038s utils/tests/test_estimator_checks.py: 16 warnings
1038s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:659: SkipTestWarning: pandas is not installed: not checking estimators for pandas objects.
1038s     warnings.warn(str(exception), SkipTestWarning)
1038s 
1038s utils/tests/test_estimator_checks.py::test_check_estimator
1038s   /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
1038s     warnings.warn(str(exception), SkipTestWarning)
1038s 
1038s utils/tests/test_estimator_checks.py::test_check_estimator_clones
1038s utils/tests/test_estimator_checks.py::test_check_estimator_clones
1038s   /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
1038s     warnings.warn(str(exception), SkipTestWarning)
1038s 
1038s utils/tests/test_estimator_checks.py::test_check_estimator_clones
1038s utils/tests/test_estimator_checks.py::test_check_estimator_clones
1038s utils/tests/test_estimator_checks.py::test_check_estimator_clones
1038s utils/tests/test_estimator_checks.py::test_check_estimator_clones
1038s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:659: SkipTestWarning: array_api_compat is not installed: not checking array_api input
1038s     warnings.warn(str(exception), SkipTestWarning)
1038s 
1038s utils/tests/test_estimator_checks.py::test_check_estimator_clones
1038s utils/tests/test_estimator_checks.py::test_check_estimator_clones
1038s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:659: SkipTestWarning: cupy is not installed: not checking array_api input
1038s     warnings.warn(str(exception), SkipTestWarning)
1038s 
1038s utils/tests/test_estimator_checks.py::test_check_estimator_clones
1038s utils/tests/test_estimator_checks.py::test_check_estimator_clones
1038s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:659: SkipTestWarning: cupy.array_api is not installed: not checking array_api input
1038s     warnings.warn(str(exception), SkipTestWarning)
1038s 
1038s utils/tests/test_estimator_checks.py::test_check_estimator_clones
1038s utils/tests/test_estimator_checks.py::test_check_estimator_clones
1038s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:659: SkipTestWarning: torch is not installed: not checking array_api input
1038s     warnings.warn(str(exception), SkipTestWarning)
1038s 
1038s utils/tests/test_estimator_checks.py::test_check_estimator_clones
1038s utils/tests/test_estimator_checks.py::test_check_estimator_clones
1038s   /usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:659: SkipTestWarning: ExtraTreesClassifier does not have a decision_function method.
1038s     warnings.warn(str(exception), SkipTestWarning)
1038s 
1038s utils/tests/test_estimator_checks.py::test_check_estimator_clones
1038s utils/tests/test_estimator_checks.py::test_check_estimator_clones
1038s   /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
1038s     warnings.warn(str(exception), SkipTestWarning)
1038s 
1038s ../../../usr/lib/python3/dist-packages/_pytest/cacheprovider.py:479
1038s   /usr/lib/python3/dist-packages/_pytest/cacheprovider.py:479: 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-files-xqd2fyu3'
1038s     config.cache.set("cache/nodeids", sorted(self.cached_nodeids))
1038s 
1038s ../../../usr/lib/python3/dist-packages/_pytest/stepwise.py:57
1039s   /usr/lib/python3/dist-packages/_pytest/stepwise.py:57: 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-files-npkv8dmd'
1039s     session.config.cache.set(STEPWISE_CACHE_DIR, [])
1039s 
1039s -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
1039s = 18643 passed, 2378 skipped, 11732 deselected, 33 xfailed, 2634 warnings in 821.29s (0:13:41) =
1039s autopkgtest [02:07:21]: test python3: -----------------------]
1043s autopkgtest [02:07:25]: test python3:  - - - - - - - - - - results - - - - - - - - - -
1043s python3              PASS
1043s autopkgtest [02:07:25]: @@@@@@@@@@@@@@@@@@@@ summary
1043s python3              PASS
1054s nova [W] Using flock in scalingstack-bos02-ppc64el
1054s Creating nova instance adt-oracular-ppc64el-scikit-learn-20240608-015002-juju-7f2275-prod-proposed-migration-environment-2-fc0db939-d133-42c3-96b2-c6f494bddfec from image adt/ubuntu-oracular-ppc64el-server-20240607.img (UUID 2e7ff4dd-25ad-4882-8618-1243d2d4ac8e)...