0s autopkgtest [23:30:53]: starting date and time: 2025-05-03 23:30:53+0000 0s autopkgtest [23:30:53]: git checkout: 9986aa8c Merge branch 'skia/fix_network_interface' into 'ubuntu/production' 0s autopkgtest [23:30:53]: host juju-7f2275-prod-proposed-migration-environment-2; command line: /home/ubuntu/autopkgtest/runner/autopkgtest --output-dir /tmp/autopkgtest-work.qxw1_meg/out --timeout-copy=6000 --setup-commands /home/ubuntu/autopkgtest-cloud/worker-config-production/setup-canonical.sh --apt-pocket=proposed=src:pytest --apt-upgrade python-dmsh --timeout-short=300 --timeout-copy=20000 --timeout-test=20000 --timeout-build=20000 --env=ADT_TEST_TRIGGERS=pytest/8.3.5-2 -- ssh -s /home/ubuntu/autopkgtest/ssh-setup/nova -- --flavor autopkgtest-big-ppc64el --security-groups autopkgtest-juju-7f2275-prod-proposed-migration-environment-2@bos03-ppc64el-5.secgroup --name adt-questing-ppc64el-python-dmsh-20250503-233053-juju-7f2275-prod-proposed-migration-environment-2-300e7e92-3b2d-4534-add9-193b9c209b76 --image adt/ubuntu-questing-ppc64el-server --keyname testbed-juju-7f2275-prod-proposed-migration-environment-2 --net-id=net_prod-proposed-migration-ppc64el -e TERM=linux --mirror=http://ftpmaster.internal/ubuntu/ 66s autopkgtest [23:31:59]: testbed dpkg architecture: ppc64el 67s autopkgtest [23:32:00]: testbed apt version: 3.0.0 67s autopkgtest [23:32:00]: @@@@@@@@@@@@@@@@@@@@ test bed setup 67s autopkgtest [23:32:00]: testbed release detected to be: None 68s autopkgtest [23:32:01]: updating testbed package index (apt update) 68s Get:1 http://ftpmaster.internal/ubuntu questing-proposed InRelease [110 kB] 68s Hit:2 http://ftpmaster.internal/ubuntu questing InRelease 68s Hit:3 http://ftpmaster.internal/ubuntu questing-updates InRelease 68s Hit:4 http://ftpmaster.internal/ubuntu questing-security InRelease 69s Get:5 http://ftpmaster.internal/ubuntu questing-proposed/main Sources [143 kB] 69s Get:6 http://ftpmaster.internal/ubuntu questing-proposed/multiverse Sources [33.6 kB] 69s Get:7 http://ftpmaster.internal/ubuntu questing-proposed/universe Sources [1395 kB] 69s Get:8 http://ftpmaster.internal/ubuntu questing-proposed/main ppc64el Packages [185 kB] 69s Get:9 http://ftpmaster.internal/ubuntu questing-proposed/universe ppc64el Packages [1323 kB] 69s Get:10 http://ftpmaster.internal/ubuntu questing-proposed/multiverse ppc64el Packages [32.0 kB] 69s Fetched 3222 kB in 1s (2647 kB/s) 70s Reading package lists... 71s autopkgtest [23:32:04]: upgrading testbed (apt dist-upgrade and autopurge) 71s Reading package lists... 71s Building dependency tree... 71s Reading state information... 72s Calculating upgrade...Starting pkgProblemResolver with broken count: 0 72s Starting 2 pkgProblemResolver with broken count: 0 72s Done 72s Entering ResolveByKeep 72s 72s Calculating upgrade... 72s The following packages will be upgraded: 72s cloud-init cloud-init-base debianutils libmbim-glib4 libmbim-proxy 72s libnftnl11 libpython3.12-minimal libpython3.12-stdlib libpython3.12t64 72s libqmi-glib5 libqmi-proxy libsepol2 python3-lazr.restfulclient 73s 13 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. 73s Need to get 8004 kB of archives. 73s After this operation, 78.8 kB disk space will be freed. 73s Get:1 http://ftpmaster.internal/ubuntu questing/main ppc64el debianutils ppc64el 5.22 [93.9 kB] 73s Get:2 http://ftpmaster.internal/ubuntu questing/main ppc64el libsepol2 ppc64el 3.8.1-1 [411 kB] 73s Get:3 http://ftpmaster.internal/ubuntu questing/main ppc64el libnftnl11 ppc64el 1.2.9-1 [77.1 kB] 73s Get:4 http://ftpmaster.internal/ubuntu questing/main ppc64el cloud-init-base all 25.2~1g7a0265d3-0ubuntu1 [619 kB] 73s Get:5 http://ftpmaster.internal/ubuntu questing/main ppc64el libmbim-proxy ppc64el 1.32.0-1 [6352 B] 73s Get:6 http://ftpmaster.internal/ubuntu questing/main ppc64el libmbim-glib4 ppc64el 1.32.0-1 [258 kB] 73s Get:7 http://ftpmaster.internal/ubuntu questing-proposed/universe ppc64el libpython3.12t64 ppc64el 3.12.10-1 [2558 kB] 73s Get:8 http://ftpmaster.internal/ubuntu questing-proposed/universe ppc64el libpython3.12-stdlib ppc64el 3.12.10-1 [2105 kB] 73s Get:9 http://ftpmaster.internal/ubuntu questing-proposed/universe ppc64el libpython3.12-minimal ppc64el 3.12.10-1 [841 kB] 73s Get:10 http://ftpmaster.internal/ubuntu questing/main ppc64el libqmi-proxy ppc64el 1.36.0-1 [6236 B] 73s Get:11 http://ftpmaster.internal/ubuntu questing/main ppc64el libqmi-glib5 ppc64el 1.36.0-1 [976 kB] 73s Get:12 http://ftpmaster.internal/ubuntu questing/main ppc64el python3-lazr.restfulclient all 0.14.6-3 [51.0 kB] 73s Get:13 http://ftpmaster.internal/ubuntu questing/main ppc64el cloud-init all 25.2~1g7a0265d3-0ubuntu1 [2106 B] 74s Preconfiguring packages ... 74s Fetched 8004 kB in 1s (7845 kB/s) 74s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (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 ... 107205 files and directories currently installed.) 74s Preparing to unpack .../debianutils_5.22_ppc64el.deb ... 74s Unpacking debianutils (5.22) over (5.21) ... 74s Setting up debianutils (5.22) ... 74s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (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 ... 107205 files and directories currently installed.) 74s Preparing to unpack .../libsepol2_3.8.1-1_ppc64el.deb ... 74s Unpacking libsepol2:ppc64el (3.8.1-1) over (3.7-1) ... 74s Setting up libsepol2:ppc64el (3.8.1-1) ... 74s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (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 ... 107205 files and directories currently installed.) 74s Preparing to unpack .../00-libnftnl11_1.2.9-1_ppc64el.deb ... 74s Unpacking libnftnl11:ppc64el (1.2.9-1) over (1.2.8-1) ... 75s Preparing to unpack .../01-cloud-init-base_25.2~1g7a0265d3-0ubuntu1_all.deb ... 75s Unpacking cloud-init-base (25.2~1g7a0265d3-0ubuntu1) over (25.1.1-0ubuntu2) ... 75s Preparing to unpack .../02-libmbim-proxy_1.32.0-1_ppc64el.deb ... 75s Unpacking libmbim-proxy (1.32.0-1) over (1.31.2-0ubuntu4) ... 75s Preparing to unpack .../03-libmbim-glib4_1.32.0-1_ppc64el.deb ... 75s Unpacking libmbim-glib4:ppc64el (1.32.0-1) over (1.31.2-0ubuntu4) ... 75s Preparing to unpack .../04-libpython3.12t64_3.12.10-1_ppc64el.deb ... 75s Unpacking libpython3.12t64:ppc64el (3.12.10-1) over (3.12.8-3) ... 75s Preparing to unpack .../05-libpython3.12-stdlib_3.12.10-1_ppc64el.deb ... 75s Unpacking libpython3.12-stdlib:ppc64el (3.12.10-1) over (3.12.8-3) ... 75s Preparing to unpack .../06-libpython3.12-minimal_3.12.10-1_ppc64el.deb ... 75s Unpacking libpython3.12-minimal:ppc64el (3.12.10-1) over (3.12.8-3) ... 75s Preparing to unpack .../07-libqmi-proxy_1.36.0-1_ppc64el.deb ... 75s Unpacking libqmi-proxy (1.36.0-1) over (1.35.6-1) ... 76s Preparing to unpack .../08-libqmi-glib5_1.36.0-1_ppc64el.deb ... 76s Unpacking libqmi-glib5:ppc64el (1.36.0-1) over (1.35.6-1) ... 76s Preparing to unpack .../09-python3-lazr.restfulclient_0.14.6-3_all.deb ... 76s Unpacking python3-lazr.restfulclient (0.14.6-3) over (0.14.6-2) ... 76s Preparing to unpack .../10-cloud-init_25.2~1g7a0265d3-0ubuntu1_all.deb ... 76s Unpacking cloud-init (25.2~1g7a0265d3-0ubuntu1) over (25.1.1-0ubuntu2) ... 76s Setting up libpython3.12-minimal:ppc64el (3.12.10-1) ... 76s Setting up libnftnl11:ppc64el (1.2.9-1) ... 76s Setting up cloud-init-base (25.2~1g7a0265d3-0ubuntu1) ... 78s Setting up python3-lazr.restfulclient (0.14.6-3) ... 78s Setting up libmbim-glib4:ppc64el (1.32.0-1) ... 78s Setting up cloud-init (25.2~1g7a0265d3-0ubuntu1) ... 78s Setting up libpython3.12-stdlib:ppc64el (3.12.10-1) ... 78s Setting up libmbim-proxy (1.32.0-1) ... 78s Setting up libpython3.12t64:ppc64el (3.12.10-1) ... 78s Setting up libqmi-glib5:ppc64el (1.36.0-1) ... 78s Setting up libqmi-proxy (1.36.0-1) ... 78s Processing triggers for libc-bin (2.41-6ubuntu1) ... 78s Processing triggers for rsyslog (8.2412.0-2ubuntu2) ... 78s Processing triggers for man-db (2.13.0-1) ... 80s Reading package lists... 80s Building dependency tree... 80s Reading state information... 80s Starting pkgProblemResolver with broken count: 0 81s Starting 2 pkgProblemResolver with broken count: 0 81s Done 81s Solving dependencies... 81s 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. 81s autopkgtest [23:32:14]: rebooting testbed after setup commands that affected boot 104s autopkgtest-virt-ssh: WARNING: ssh connection failed. Retrying in 3 seconds... 119s autopkgtest [23:32:52]: testbed running kernel: Linux 6.14.0-15-generic #15-Ubuntu SMP Sun Apr 6 14:52:42 UTC 2025 121s autopkgtest [23:32:54]: @@@@@@@@@@@@@@@@@@@@ apt-source python-dmsh 123s Get:1 http://ftpmaster.internal/ubuntu questing/universe python-dmsh 0.2.19-1 (dsc) [2253 B] 123s Get:2 http://ftpmaster.internal/ubuntu questing/universe python-dmsh 0.2.19-1 (tar) [35.9 kB] 123s Get:3 http://ftpmaster.internal/ubuntu questing/universe python-dmsh 0.2.19-1 (diff) [4792 B] 124s gpgv: Signature made Thu Mar 3 12:44:45 2022 UTC 124s gpgv: using RSA key 23C9A93E585819E9126D0A36573EF1E4BD5A01FA 124s gpgv: Can't check signature: No public key 124s dpkg-source: warning: cannot verify inline signature for ./python-dmsh_0.2.19-1.dsc: no acceptable signature found 124s autopkgtest [23:32:57]: testing package python-dmsh version 0.2.19-1 124s autopkgtest [23:32:57]: build not needed 124s autopkgtest [23:32:57]: test command1: preparing testbed 124s Reading package lists... 125s Building dependency tree... 125s Reading state information... 125s Starting pkgProblemResolver with broken count: 0 125s Starting 2 pkgProblemResolver with broken count: 0 125s Done 125s The following NEW packages will be installed: 125s blt fontconfig-config fonts-dejavu-core fonts-dejavu-mono fonts-lyx libblas3 125s libdeflate0 libfontconfig1 libgfortran5 libgomp1 libgraphite2-3 125s libharfbuzz0b libimagequant0 libjbig0 libjpeg-turbo8 libjpeg8 libjs-jquery 125s libjs-jquery-ui liblapack3 liblbfgsb0 liblcms2-2 liblerc4 libopenjp2-7 125s libqhull-r8.0 libraqm0 libsharpyuv0 libtcl8.6 libtiff6 libtk8.6 libwebp7 125s libwebpdemux2 libwebpmux3 libxft2 libxrender1 libxslt1.1 libxss1 125s python-matplotlib-data python3-brotli python3-contourpy python3-cycler 125s python3-dateutil python3-decorator python3-dmsh python3-fonttools python3-fs 125s python3-iniconfig python3-kiwisolver python3-lxml python3-lz4 125s python3-matplotlib python3-meshio python3-meshplex python3-mpmath 125s python3-npx python3-numpy python3-numpy-dev python3-packaging python3-pil 125s python3-pil.imagetk python3-platformdirs python3-pluggy python3-pytest 125s python3-scipy python3-sympy python3-tk python3-ufolib2 python3-unicodedata2 125s python3.13-tk tk8.6-blt2.5 unicode-data x11-common 125s 0 upgraded, 71 newly installed, 0 to remove and 0 not upgraded. 125s Need to get 75.9 MB of archives. 125s After this operation, 310 MB of additional disk space will be used. 125s Get:1 http://ftpmaster.internal/ubuntu questing/main ppc64el python3-numpy-dev ppc64el 1:2.2.3+ds-5 [154 kB] 126s Get:2 http://ftpmaster.internal/ubuntu questing/main ppc64el libblas3 ppc64el 3.12.1-2 [239 kB] 126s Get:3 http://ftpmaster.internal/ubuntu questing/main ppc64el libgfortran5 ppc64el 15-20250404-0ubuntu1 [615 kB] 126s Get:4 http://ftpmaster.internal/ubuntu questing/main ppc64el liblapack3 ppc64el 3.12.1-2 [2813 kB] 126s Get:5 http://ftpmaster.internal/ubuntu questing/main ppc64el python3-numpy ppc64el 1:2.2.3+ds-5 [4835 kB] 126s Get:6 http://ftpmaster.internal/ubuntu questing/main ppc64el libtcl8.6 ppc64el 8.6.16+dfsg-1 [1201 kB] 126s Get:7 http://ftpmaster.internal/ubuntu questing/main ppc64el fonts-dejavu-mono all 2.37-8 [502 kB] 126s Get:8 http://ftpmaster.internal/ubuntu questing/main ppc64el fonts-dejavu-core all 2.37-8 [835 kB] 126s Get:9 http://ftpmaster.internal/ubuntu questing/main ppc64el fontconfig-config ppc64el 2.15.0-2.2ubuntu1 [37.9 kB] 126s Get:10 http://ftpmaster.internal/ubuntu questing/main ppc64el libfontconfig1 ppc64el 2.15.0-2.2ubuntu1 [187 kB] 126s Get:11 http://ftpmaster.internal/ubuntu questing/main ppc64el libxrender1 ppc64el 1:0.9.10-1.1build1 [23.1 kB] 126s Get:12 http://ftpmaster.internal/ubuntu questing/main ppc64el libxft2 ppc64el 2.3.6-1build1 [61.5 kB] 126s Get:13 http://ftpmaster.internal/ubuntu questing/main ppc64el x11-common all 1:7.7+23ubuntu4 [21.8 kB] 126s Get:14 http://ftpmaster.internal/ubuntu questing/main ppc64el libxss1 ppc64el 1:1.2.3-1build3 [7980 B] 126s Get:15 http://ftpmaster.internal/ubuntu questing/main ppc64el libtk8.6 ppc64el 8.6.16-1 [946 kB] 126s Get:16 http://ftpmaster.internal/ubuntu questing/main ppc64el tk8.6-blt2.5 ppc64el 2.5.3+dfsg-8 [778 kB] 126s Get:17 http://ftpmaster.internal/ubuntu questing/main ppc64el blt ppc64el 2.5.3+dfsg-8 [4830 B] 126s Get:18 http://ftpmaster.internal/ubuntu questing/universe ppc64el fonts-lyx all 2.4.3-1 [171 kB] 126s Get:19 http://ftpmaster.internal/ubuntu questing/main ppc64el libdeflate0 ppc64el 1.23-2 [63.3 kB] 126s Get:20 http://ftpmaster.internal/ubuntu questing/main ppc64el libgomp1 ppc64el 15-20250404-0ubuntu1 [168 kB] 126s Get:21 http://ftpmaster.internal/ubuntu questing/main ppc64el libgraphite2-3 ppc64el 1.3.14-2ubuntu1 [84.6 kB] 126s Get:22 http://ftpmaster.internal/ubuntu questing/main ppc64el libharfbuzz0b ppc64el 10.2.0-1 [598 kB] 126s Get:23 http://ftpmaster.internal/ubuntu questing/main ppc64el libimagequant0 ppc64el 2.18.0-1build1 [43.2 kB] 126s Get:24 http://ftpmaster.internal/ubuntu questing/main ppc64el libjpeg-turbo8 ppc64el 2.1.5-3ubuntu2 [215 kB] 126s Get:25 http://ftpmaster.internal/ubuntu questing/main ppc64el libjpeg8 ppc64el 8c-2ubuntu11 [2148 B] 126s Get:26 http://ftpmaster.internal/ubuntu questing/main ppc64el libjs-jquery all 3.6.1+dfsg+~3.5.14-1 [328 kB] 126s Get:27 http://ftpmaster.internal/ubuntu questing/universe ppc64el libjs-jquery-ui all 1.13.2+dfsg-1 [252 kB] 126s Get:28 http://ftpmaster.internal/ubuntu questing/universe ppc64el liblbfgsb0 ppc64el 3.0+dfsg.4-1build1 [33.0 kB] 126s Get:29 http://ftpmaster.internal/ubuntu questing/main ppc64el liblcms2-2 ppc64el 2.16-2 [243 kB] 126s Get:30 http://ftpmaster.internal/ubuntu questing/main ppc64el liblerc4 ppc64el 4.0.0+ds-5ubuntu1 [298 kB] 126s Get:31 http://ftpmaster.internal/ubuntu questing/universe ppc64el libqhull-r8.0 ppc64el 2020.2-6build1 [225 kB] 127s Get:32 http://ftpmaster.internal/ubuntu questing/main ppc64el libraqm0 ppc64el 0.10.2-1 [19.2 kB] 127s Get:33 http://ftpmaster.internal/ubuntu questing/main ppc64el libsharpyuv0 ppc64el 1.5.0-0.1 [22.3 kB] 127s Get:34 http://ftpmaster.internal/ubuntu questing/main ppc64el libjbig0 ppc64el 2.1-6.1ubuntu2 [35.9 kB] 127s Get:35 http://ftpmaster.internal/ubuntu questing/main ppc64el libwebp7 ppc64el 1.5.0-0.1 [315 kB] 127s Get:36 http://ftpmaster.internal/ubuntu questing/main ppc64el libtiff6 ppc64el 4.7.0-3ubuntu1 [283 kB] 127s Get:37 http://ftpmaster.internal/ubuntu questing/main ppc64el libwebpdemux2 ppc64el 1.5.0-0.1 [14.6 kB] 127s Get:38 http://ftpmaster.internal/ubuntu questing/main ppc64el libwebpmux3 ppc64el 1.5.0-0.1 [31.1 kB] 127s Get:39 http://ftpmaster.internal/ubuntu questing/main ppc64el libxslt1.1 ppc64el 1.1.39-0exp1ubuntu4 [191 kB] 127s Get:40 http://ftpmaster.internal/ubuntu questing/universe ppc64el python-matplotlib-data all 3.8.3-7build1 [2934 kB] 127s Get:41 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-brotli ppc64el 1.1.0-2build4 [422 kB] 127s Get:42 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-contourpy ppc64el 1.3.1-1build1 [218 kB] 127s Get:43 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-cycler all 0.12.1-1 [9716 B] 127s Get:44 http://ftpmaster.internal/ubuntu questing/main ppc64el python3-dateutil all 2.9.0-4 [80.3 kB] 127s Get:45 http://ftpmaster.internal/ubuntu questing/main ppc64el python3-decorator all 5.1.1-5 [10.1 kB] 127s Get:46 http://ftpmaster.internal/ubuntu questing/main ppc64el python3-lxml ppc64el 5.3.2-1 [1393 kB] 127s Get:47 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-meshio all 7.0.0-really-5.3.5-4 [111 kB] 127s Get:48 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-npx all 0.1.6-1 [8378 B] 127s Get:49 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-scipy ppc64el 1.14.1-4ubuntu2 [19.4 MB] 127s Get:50 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-meshplex all 0.17.1-4 [26.1 kB] 127s Get:51 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-dmsh all 0.2.19-1 [22.0 kB] 127s Get:52 http://ftpmaster.internal/ubuntu questing/main ppc64el python3-platformdirs all 4.3.6-1 [16.8 kB] 127s Get:53 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-fs all 2.4.16-7 [90.8 kB] 127s Get:54 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-lz4 ppc64el 4.4.0+dfsg-1build1 [28.1 kB] 127s Get:55 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-mpmath all 1.3.0-1 [425 kB] 127s Get:56 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-sympy all 1.13.3-5 [4229 kB] 127s Get:57 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-ufolib2 all 0.17.0+dfsg1-1 [33.5 kB] 127s Get:58 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-unicodedata2 ppc64el 15.1.0+ds-1build3 [361 kB] 127s Get:59 http://ftpmaster.internal/ubuntu questing/universe ppc64el unicode-data all 15.1.0-1 [8878 kB] 128s Get:60 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-fonttools ppc64el 4.55.3-2build1 [1521 kB] 128s Get:61 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-iniconfig all 1.1.1-2 [6024 B] 128s Get:62 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-kiwisolver ppc64el 1.4.7-3build1 [59.5 kB] 128s Get:63 http://ftpmaster.internal/ubuntu questing/main ppc64el libopenjp2-7 ppc64el 2.5.3-2 [248 kB] 128s Get:64 http://ftpmaster.internal/ubuntu questing/main ppc64el python3-pil ppc64el 11.1.0-5build1 [601 kB] 128s Get:65 http://ftpmaster.internal/ubuntu questing/main ppc64el python3.13-tk ppc64el 3.13.3-1 [107 kB] 128s Get:66 http://ftpmaster.internal/ubuntu questing/main ppc64el python3-tk ppc64el 3.13.3-1 [9854 B] 128s Get:67 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-pil.imagetk ppc64el 11.1.0-5build1 [10.3 kB] 128s Get:68 http://ftpmaster.internal/ubuntu questing/main ppc64el python3-packaging all 24.2-1 [51.5 kB] 128s Get:69 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-matplotlib ppc64el 3.8.3-7build1 [17.4 MB] 128s Get:70 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-pluggy all 1.5.0-1 [21.0 kB] 128s Get:71 http://ftpmaster.internal/ubuntu questing-proposed/universe ppc64el python3-pytest all 8.3.5-2 [252 kB] 129s Fetched 75.9 MB in 3s (26.2 MB/s) 129s Selecting previously unselected package python3-numpy-dev:ppc64el. 129s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (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 ... 107205 files and directories currently installed.) 129s Preparing to unpack .../00-python3-numpy-dev_1%3a2.2.3+ds-5_ppc64el.deb ... 129s Unpacking python3-numpy-dev:ppc64el (1:2.2.3+ds-5) ... 129s Selecting previously unselected package libblas3:ppc64el. 129s Preparing to unpack .../01-libblas3_3.12.1-2_ppc64el.deb ... 129s Unpacking libblas3:ppc64el (3.12.1-2) ... 129s Selecting previously unselected package libgfortran5:ppc64el. 129s Preparing to unpack .../02-libgfortran5_15-20250404-0ubuntu1_ppc64el.deb ... 129s Unpacking libgfortran5:ppc64el (15-20250404-0ubuntu1) ... 129s Selecting previously unselected package liblapack3:ppc64el. 129s Preparing to unpack .../03-liblapack3_3.12.1-2_ppc64el.deb ... 129s Unpacking liblapack3:ppc64el (3.12.1-2) ... 129s Selecting previously unselected package python3-numpy. 129s Preparing to unpack .../04-python3-numpy_1%3a2.2.3+ds-5_ppc64el.deb ... 129s Unpacking python3-numpy (1:2.2.3+ds-5) ... 129s Selecting previously unselected package libtcl8.6:ppc64el. 129s Preparing to unpack .../05-libtcl8.6_8.6.16+dfsg-1_ppc64el.deb ... 129s Unpacking libtcl8.6:ppc64el (8.6.16+dfsg-1) ... 129s Selecting previously unselected package fonts-dejavu-mono. 129s Preparing to unpack .../06-fonts-dejavu-mono_2.37-8_all.deb ... 129s Unpacking fonts-dejavu-mono (2.37-8) ... 129s Selecting previously unselected package fonts-dejavu-core. 129s Preparing to unpack .../07-fonts-dejavu-core_2.37-8_all.deb ... 129s Unpacking fonts-dejavu-core (2.37-8) ... 129s Selecting previously unselected package fontconfig-config. 129s Preparing to unpack .../08-fontconfig-config_2.15.0-2.2ubuntu1_ppc64el.deb ... 130s Unpacking fontconfig-config (2.15.0-2.2ubuntu1) ... 130s Selecting previously unselected package libfontconfig1:ppc64el. 130s Preparing to unpack .../09-libfontconfig1_2.15.0-2.2ubuntu1_ppc64el.deb ... 130s Unpacking libfontconfig1:ppc64el (2.15.0-2.2ubuntu1) ... 130s Selecting previously unselected package libxrender1:ppc64el. 130s Preparing to unpack .../10-libxrender1_1%3a0.9.10-1.1build1_ppc64el.deb ... 130s Unpacking libxrender1:ppc64el (1:0.9.10-1.1build1) ... 130s Selecting previously unselected package libxft2:ppc64el. 130s Preparing to unpack .../11-libxft2_2.3.6-1build1_ppc64el.deb ... 130s Unpacking libxft2:ppc64el (2.3.6-1build1) ... 130s Selecting previously unselected package x11-common. 130s Preparing to unpack .../12-x11-common_1%3a7.7+23ubuntu4_all.deb ... 130s Unpacking x11-common (1:7.7+23ubuntu4) ... 130s Selecting previously unselected package libxss1:ppc64el. 130s Preparing to unpack .../13-libxss1_1%3a1.2.3-1build3_ppc64el.deb ... 130s Unpacking libxss1:ppc64el (1:1.2.3-1build3) ... 130s Selecting previously unselected package libtk8.6:ppc64el. 130s Preparing to unpack .../14-libtk8.6_8.6.16-1_ppc64el.deb ... 130s Unpacking libtk8.6:ppc64el (8.6.16-1) ... 130s Selecting previously unselected package tk8.6-blt2.5. 130s Preparing to unpack .../15-tk8.6-blt2.5_2.5.3+dfsg-8_ppc64el.deb ... 130s Unpacking tk8.6-blt2.5 (2.5.3+dfsg-8) ... 130s Selecting previously unselected package blt. 130s Preparing to unpack .../16-blt_2.5.3+dfsg-8_ppc64el.deb ... 130s Unpacking blt (2.5.3+dfsg-8) ... 130s Selecting previously unselected package fonts-lyx. 130s Preparing to unpack .../17-fonts-lyx_2.4.3-1_all.deb ... 130s Unpacking fonts-lyx (2.4.3-1) ... 130s Selecting previously unselected package libdeflate0:ppc64el. 130s Preparing to unpack .../18-libdeflate0_1.23-2_ppc64el.deb ... 130s Unpacking libdeflate0:ppc64el (1.23-2) ... 130s Selecting previously unselected package libgomp1:ppc64el. 130s Preparing to unpack .../19-libgomp1_15-20250404-0ubuntu1_ppc64el.deb ... 130s Unpacking libgomp1:ppc64el (15-20250404-0ubuntu1) ... 130s Selecting previously unselected package libgraphite2-3:ppc64el. 130s Preparing to unpack .../20-libgraphite2-3_1.3.14-2ubuntu1_ppc64el.deb ... 130s Unpacking libgraphite2-3:ppc64el (1.3.14-2ubuntu1) ... 130s Selecting previously unselected package libharfbuzz0b:ppc64el. 130s Preparing to unpack .../21-libharfbuzz0b_10.2.0-1_ppc64el.deb ... 130s Unpacking libharfbuzz0b:ppc64el (10.2.0-1) ... 130s Selecting previously unselected package libimagequant0:ppc64el. 130s Preparing to unpack .../22-libimagequant0_2.18.0-1build1_ppc64el.deb ... 130s Unpacking libimagequant0:ppc64el (2.18.0-1build1) ... 130s Selecting previously unselected package libjpeg-turbo8:ppc64el. 130s Preparing to unpack .../23-libjpeg-turbo8_2.1.5-3ubuntu2_ppc64el.deb ... 130s Unpacking libjpeg-turbo8:ppc64el (2.1.5-3ubuntu2) ... 130s Selecting previously unselected package libjpeg8:ppc64el. 130s Preparing to unpack .../24-libjpeg8_8c-2ubuntu11_ppc64el.deb ... 130s Unpacking libjpeg8:ppc64el (8c-2ubuntu11) ... 130s Selecting previously unselected package libjs-jquery. 130s Preparing to unpack .../25-libjs-jquery_3.6.1+dfsg+~3.5.14-1_all.deb ... 130s Unpacking libjs-jquery (3.6.1+dfsg+~3.5.14-1) ... 130s Selecting previously unselected package libjs-jquery-ui. 130s Preparing to unpack .../26-libjs-jquery-ui_1.13.2+dfsg-1_all.deb ... 130s Unpacking libjs-jquery-ui (1.13.2+dfsg-1) ... 130s Selecting previously unselected package liblbfgsb0:ppc64el. 130s Preparing to unpack .../27-liblbfgsb0_3.0+dfsg.4-1build1_ppc64el.deb ... 130s Unpacking liblbfgsb0:ppc64el (3.0+dfsg.4-1build1) ... 130s Selecting previously unselected package liblcms2-2:ppc64el. 130s Preparing to unpack .../28-liblcms2-2_2.16-2_ppc64el.deb ... 130s Unpacking liblcms2-2:ppc64el (2.16-2) ... 130s Selecting previously unselected package liblerc4:ppc64el. 130s Preparing to unpack .../29-liblerc4_4.0.0+ds-5ubuntu1_ppc64el.deb ... 130s Unpacking liblerc4:ppc64el (4.0.0+ds-5ubuntu1) ... 130s Selecting previously unselected package libqhull-r8.0:ppc64el. 130s Preparing to unpack .../30-libqhull-r8.0_2020.2-6build1_ppc64el.deb ... 130s Unpacking libqhull-r8.0:ppc64el (2020.2-6build1) ... 130s Selecting previously unselected package libraqm0:ppc64el. 130s Preparing to unpack .../31-libraqm0_0.10.2-1_ppc64el.deb ... 130s Unpacking libraqm0:ppc64el (0.10.2-1) ... 130s Selecting previously unselected package libsharpyuv0:ppc64el. 130s Preparing to unpack .../32-libsharpyuv0_1.5.0-0.1_ppc64el.deb ... 130s Unpacking libsharpyuv0:ppc64el (1.5.0-0.1) ... 130s Selecting previously unselected package libjbig0:ppc64el. 130s Preparing to unpack .../33-libjbig0_2.1-6.1ubuntu2_ppc64el.deb ... 130s Unpacking libjbig0:ppc64el (2.1-6.1ubuntu2) ... 130s Selecting previously unselected package libwebp7:ppc64el. 130s Preparing to unpack .../34-libwebp7_1.5.0-0.1_ppc64el.deb ... 130s Unpacking libwebp7:ppc64el (1.5.0-0.1) ... 130s Selecting previously unselected package libtiff6:ppc64el. 130s Preparing to unpack .../35-libtiff6_4.7.0-3ubuntu1_ppc64el.deb ... 130s Unpacking libtiff6:ppc64el (4.7.0-3ubuntu1) ... 130s Selecting previously unselected package libwebpdemux2:ppc64el. 130s Preparing to unpack .../36-libwebpdemux2_1.5.0-0.1_ppc64el.deb ... 130s Unpacking libwebpdemux2:ppc64el (1.5.0-0.1) ... 130s Selecting previously unselected package libwebpmux3:ppc64el. 130s Preparing to unpack .../37-libwebpmux3_1.5.0-0.1_ppc64el.deb ... 130s Unpacking libwebpmux3:ppc64el (1.5.0-0.1) ... 130s Selecting previously unselected package libxslt1.1:ppc64el. 130s Preparing to unpack .../38-libxslt1.1_1.1.39-0exp1ubuntu4_ppc64el.deb ... 130s Unpacking libxslt1.1:ppc64el (1.1.39-0exp1ubuntu4) ... 130s Selecting previously unselected package python-matplotlib-data. 130s Preparing to unpack .../39-python-matplotlib-data_3.8.3-7build1_all.deb ... 130s Unpacking python-matplotlib-data (3.8.3-7build1) ... 130s Selecting previously unselected package python3-brotli. 130s Preparing to unpack .../40-python3-brotli_1.1.0-2build4_ppc64el.deb ... 130s Unpacking python3-brotli (1.1.0-2build4) ... 130s Selecting previously unselected package python3-contourpy. 130s Preparing to unpack .../41-python3-contourpy_1.3.1-1build1_ppc64el.deb ... 130s Unpacking python3-contourpy (1.3.1-1build1) ... 130s Selecting previously unselected package python3-cycler. 130s Preparing to unpack .../42-python3-cycler_0.12.1-1_all.deb ... 130s Unpacking python3-cycler (0.12.1-1) ... 130s Selecting previously unselected package python3-dateutil. 130s Preparing to unpack .../43-python3-dateutil_2.9.0-4_all.deb ... 130s Unpacking python3-dateutil (2.9.0-4) ... 130s Selecting previously unselected package python3-decorator. 130s Preparing to unpack .../44-python3-decorator_5.1.1-5_all.deb ... 130s Unpacking python3-decorator (5.1.1-5) ... 131s Selecting previously unselected package python3-lxml:ppc64el. 131s Preparing to unpack .../45-python3-lxml_5.3.2-1_ppc64el.deb ... 131s Unpacking python3-lxml:ppc64el (5.3.2-1) ... 131s Selecting previously unselected package python3-meshio. 131s Preparing to unpack .../46-python3-meshio_7.0.0-really-5.3.5-4_all.deb ... 131s Unpacking python3-meshio (7.0.0-really-5.3.5-4) ... 131s Selecting previously unselected package python3-npx. 131s Preparing to unpack .../47-python3-npx_0.1.6-1_all.deb ... 131s Unpacking python3-npx (0.1.6-1) ... 131s Selecting previously unselected package python3-scipy. 131s Preparing to unpack .../48-python3-scipy_1.14.1-4ubuntu2_ppc64el.deb ... 131s Unpacking python3-scipy (1.14.1-4ubuntu2) ... 131s Selecting previously unselected package python3-meshplex. 131s Preparing to unpack .../49-python3-meshplex_0.17.1-4_all.deb ... 131s Unpacking python3-meshplex (0.17.1-4) ... 131s Selecting previously unselected package python3-dmsh. 131s Preparing to unpack .../50-python3-dmsh_0.2.19-1_all.deb ... 131s Unpacking python3-dmsh (0.2.19-1) ... 131s Selecting previously unselected package python3-platformdirs. 131s Preparing to unpack .../51-python3-platformdirs_4.3.6-1_all.deb ... 131s Unpacking python3-platformdirs (4.3.6-1) ... 131s Selecting previously unselected package python3-fs. 131s Preparing to unpack .../52-python3-fs_2.4.16-7_all.deb ... 131s Unpacking python3-fs (2.4.16-7) ... 131s Selecting previously unselected package python3-lz4. 131s Preparing to unpack .../53-python3-lz4_4.4.0+dfsg-1build1_ppc64el.deb ... 131s Unpacking python3-lz4 (4.4.0+dfsg-1build1) ... 131s Selecting previously unselected package python3-mpmath. 131s Preparing to unpack .../54-python3-mpmath_1.3.0-1_all.deb ... 131s Unpacking python3-mpmath (1.3.0-1) ... 131s Selecting previously unselected package python3-sympy. 131s Preparing to unpack .../55-python3-sympy_1.13.3-5_all.deb ... 131s Unpacking python3-sympy (1.13.3-5) ... 132s Selecting previously unselected package python3-ufolib2. 132s Preparing to unpack .../56-python3-ufolib2_0.17.0+dfsg1-1_all.deb ... 132s Unpacking python3-ufolib2 (0.17.0+dfsg1-1) ... 132s Selecting previously unselected package python3-unicodedata2. 132s Preparing to unpack .../57-python3-unicodedata2_15.1.0+ds-1build3_ppc64el.deb ... 132s Unpacking python3-unicodedata2 (15.1.0+ds-1build3) ... 132s Selecting previously unselected package unicode-data. 132s Preparing to unpack .../58-unicode-data_15.1.0-1_all.deb ... 132s Unpacking unicode-data (15.1.0-1) ... 132s Selecting previously unselected package python3-fonttools. 132s Preparing to unpack .../59-python3-fonttools_4.55.3-2build1_ppc64el.deb ... 132s Unpacking python3-fonttools (4.55.3-2build1) ... 132s Selecting previously unselected package python3-iniconfig. 132s Preparing to unpack .../60-python3-iniconfig_1.1.1-2_all.deb ... 132s Unpacking python3-iniconfig (1.1.1-2) ... 132s Selecting previously unselected package python3-kiwisolver. 132s Preparing to unpack .../61-python3-kiwisolver_1.4.7-3build1_ppc64el.deb ... 132s Unpacking python3-kiwisolver (1.4.7-3build1) ... 132s Selecting previously unselected package libopenjp2-7:ppc64el. 132s Preparing to unpack .../62-libopenjp2-7_2.5.3-2_ppc64el.deb ... 132s Unpacking libopenjp2-7:ppc64el (2.5.3-2) ... 132s Selecting previously unselected package python3-pil:ppc64el. 132s Preparing to unpack .../63-python3-pil_11.1.0-5build1_ppc64el.deb ... 132s Unpacking python3-pil:ppc64el (11.1.0-5build1) ... 132s Selecting previously unselected package python3.13-tk. 132s Preparing to unpack .../64-python3.13-tk_3.13.3-1_ppc64el.deb ... 132s Unpacking python3.13-tk (3.13.3-1) ... 132s Selecting previously unselected package python3-tk:ppc64el. 132s Preparing to unpack .../65-python3-tk_3.13.3-1_ppc64el.deb ... 132s Unpacking python3-tk:ppc64el (3.13.3-1) ... 132s Selecting previously unselected package python3-pil.imagetk:ppc64el. 132s Preparing to unpack .../66-python3-pil.imagetk_11.1.0-5build1_ppc64el.deb ... 132s Unpacking python3-pil.imagetk:ppc64el (11.1.0-5build1) ... 132s Selecting previously unselected package python3-packaging. 132s Preparing to unpack .../67-python3-packaging_24.2-1_all.deb ... 132s Unpacking python3-packaging (24.2-1) ... 132s Selecting previously unselected package python3-matplotlib. 132s Preparing to unpack .../68-python3-matplotlib_3.8.3-7build1_ppc64el.deb ... 132s Unpacking python3-matplotlib (3.8.3-7build1) ... 133s Selecting previously unselected package python3-pluggy. 133s Preparing to unpack .../69-python3-pluggy_1.5.0-1_all.deb ... 133s Unpacking python3-pluggy (1.5.0-1) ... 133s Selecting previously unselected package python3-pytest. 133s Preparing to unpack .../70-python3-pytest_8.3.5-2_all.deb ... 133s Unpacking python3-pytest (8.3.5-2) ... 133s Setting up libgraphite2-3:ppc64el (1.3.14-2ubuntu1) ... 133s Setting up liblcms2-2:ppc64el (2.16-2) ... 133s Setting up python3-iniconfig (1.1.1-2) ... 133s Setting up libsharpyuv0:ppc64el (1.5.0-0.1) ... 133s Setting up liblerc4:ppc64el (4.0.0+ds-5ubuntu1) ... 133s Setting up libxrender1:ppc64el (1:0.9.10-1.1build1) ... 133s Setting up python3-lz4 (4.4.0+dfsg-1build1) ... 133s Setting up python3-unicodedata2 (15.1.0+ds-1build3) ... 133s Setting up fonts-lyx (2.4.3-1) ... 133s Setting up x11-common (1:7.7+23ubuntu4) ... 133s Setting up libdeflate0:ppc64el (1.23-2) ... 133s Setting up libqhull-r8.0:ppc64el (2020.2-6build1) ... 133s Setting up libgomp1:ppc64el (15-20250404-0ubuntu1) ... 133s Setting up libjbig0:ppc64el (2.1-6.1ubuntu2) ... 133s Setting up python3-platformdirs (4.3.6-1) ... 134s Setting up python3-fs (2.4.16-7) ... 134s Setting up unicode-data (15.1.0-1) ... 134s Setting up python3-decorator (5.1.1-5) ... 134s Setting up libblas3:ppc64el (3.12.1-2) ... 134s 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 134s Setting up python3-packaging (24.2-1) ... 134s Setting up python3-brotli (1.1.0-2build4) ... 134s Setting up python3-cycler (0.12.1-1) ... 134s Setting up libimagequant0:ppc64el (2.18.0-1build1) ... 134s Setting up fonts-dejavu-mono (2.37-8) ... 134s Setting up python3-kiwisolver (1.4.7-3build1) ... 134s Setting up python3-numpy-dev:ppc64el (1:2.2.3+ds-5) ... 134s Setting up libtcl8.6:ppc64el (8.6.16+dfsg-1) ... 134s Setting up fonts-dejavu-core (2.37-8) ... 134s Setting up libjpeg-turbo8:ppc64el (2.1.5-3ubuntu2) ... 134s Setting up libgfortran5:ppc64el (15-20250404-0ubuntu1) ... 134s Setting up python3-pluggy (1.5.0-1) ... 135s Setting up libwebp7:ppc64el (1.5.0-0.1) ... 135s Setting up libxslt1.1:ppc64el (1.1.39-0exp1ubuntu4) ... 135s Setting up libopenjp2-7:ppc64el (2.5.3-2) ... 135s Setting up libharfbuzz0b:ppc64el (10.2.0-1) ... 135s Setting up python3-dateutil (2.9.0-4) ... 135s Setting up libxss1:ppc64el (1:1.2.3-1build3) ... 135s Setting up libjs-jquery (3.6.1+dfsg+~3.5.14-1) ... 135s Setting up python3-mpmath (1.3.0-1) ... 135s Setting up python-matplotlib-data (3.8.3-7build1) ... 135s Setting up libwebpmux3:ppc64el (1.5.0-0.1) ... 135s Setting up libjpeg8:ppc64el (8c-2ubuntu11) ... 135s Setting up python3-sympy (1.13.3-5) ... 142s Setting up liblapack3:ppc64el (3.12.1-2) ... 142s 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 142s Setting up fontconfig-config (2.15.0-2.2ubuntu1) ... 142s Setting up python3-pytest (8.3.5-2) ... 143s Setting up libwebpdemux2:ppc64el (1.5.0-0.1) ... 143s Setting up libjs-jquery-ui (1.13.2+dfsg-1) ... 143s Setting up libraqm0:ppc64el (0.10.2-1) ... 143s Setting up python3-numpy (1:2.2.3+ds-5) ... 145s Setting up python3-lxml:ppc64el (5.3.2-1) ... 145s Setting up libtiff6:ppc64el (4.7.0-3ubuntu1) ... 145s Setting up python3-contourpy (1.3.1-1build1) ... 145s Setting up libfontconfig1:ppc64el (2.15.0-2.2ubuntu1) ... 145s Setting up python3-npx (0.1.6-1) ... 145s Setting up liblbfgsb0:ppc64el (3.0+dfsg.4-1build1) ... 145s Setting up libxft2:ppc64el (2.3.6-1build1) ... 145s Setting up python3-scipy (1.14.1-4ubuntu2) ... 149s Setting up libtk8.6:ppc64el (8.6.16-1) ... 149s Setting up python3-meshio (7.0.0-really-5.3.5-4) ... 149s Setting up python3.13-tk (3.13.3-1) ... 149s Setting up python3-pil:ppc64el (11.1.0-5build1) ... 149s Setting up python3-meshplex (0.17.1-4) ... 150s Setting up tk8.6-blt2.5 (2.5.3+dfsg-8) ... 150s Setting up blt (2.5.3+dfsg-8) ... 150s Setting up python3-tk:ppc64el (3.13.3-1) ... 150s Setting up python3-pil.imagetk:ppc64el (11.1.0-5build1) ... 150s Setting up python3-dmsh (0.2.19-1) ... 150s Setting up python3-ufolib2 (0.17.0+dfsg1-1) ... 150s Setting up python3-fonttools (4.55.3-2build1) ... 151s Setting up python3-matplotlib (3.8.3-7build1) ... 152s Processing triggers for libc-bin (2.41-6ubuntu1) ... 152s Processing triggers for man-db (2.13.0-1) ... 154s autopkgtest [23:33:27]: test command1: MPLBACKEND=Agg pytest-3 154s autopkgtest [23:33:27]: test command1: [----------------------- 156s ============================= test session starts ============================== 156s platform linux -- Python 3.13.3, pytest-8.3.5, pluggy-1.5.0 156s rootdir: /tmp/autopkgtest.L4Ph6B/build.PNz/src 156s configfile: pyproject.toml 156s plugins: typeguard-4.4.2 156s collected 56 items 156s 160s tests/test_circle.py ........ [ 14%] 160s tests/test_closed_path.py ............. [ 37%] 160s tests/test_difference.py .... [ 44%] 160s tests/test_ellipse.py s [ 46%] 161s tests/test_halfspace.py . [ 48%] 161s tests/test_intersection.py .... [ 55%] 161s tests/test_large.py . [ 57%] 162s tests/test_pacman.py . [ 58%] 162s tests/test_path.py .. [ 62%] 162s tests/test_polygon.py .. [ 66%] 162s tests/test_quarter_annulus.py . [ 67%] 163s tests/test_rectangle.py ... [ 73%] 163s tests/test_rectangle_hole.py .. [ 76%] 164s tests/test_refinement_point_line.py . [ 78%] 164s tests/test_rotation.py . [ 80%] 165s tests/test_scaling.py . [ 82%] 165s tests/test_show_level_set.py . [ 83%] 165s tests/test_speed.py s [ 85%] 165s tests/test_square_hole_refined.py . [ 87%] 166s tests/test_stretch.py . [ 89%] 166s tests/test_translation.py . [ 91%] 167s tests/test_union.py ..... [100%] 167s 167s =============================== warnings summary =============================== 167s tests/test_circle.py: 1251 warnings 167s tests/test_difference.py: 107 warnings 167s tests/test_halfspace.py: 121 warnings 167s tests/test_intersection.py: 220 warnings 167s tests/test_large.py: 124 warnings 167s tests/test_pacman.py: 118 warnings 167s tests/test_polygon.py: 141 warnings 167s tests/test_quarter_annulus.py: 194 warnings 167s tests/test_rectangle.py: 117 warnings 167s tests/test_rectangle_hole.py: 257 warnings 167s tests/test_refinement_point_line.py: 200 warnings 167s tests/test_rotation.py: 144 warnings 167s tests/test_scaling.py: 106 warnings 167s tests/test_square_hole_refined.py: 182 warnings 167s tests/test_stretch.py: 157 warnings 167s tests/test_translation.py: 107 warnings 167s tests/test_union.py: 355 warnings 167s /usr/lib/python3/dist-packages/meshplex/_mesh.py:362: DeprecationWarning: `row_stack` alias is deprecated. Use `np.vstack` directly. 167s orthogonal_basis = np.row_stack([orthogonal_basis[:, k0], [v[k0]]]) 167s 167s tests/test_circle.py: 1251 warnings 167s tests/test_difference.py: 107 warnings 167s tests/test_halfspace.py: 121 warnings 167s tests/test_intersection.py: 220 warnings 167s tests/test_large.py: 124 warnings 167s tests/test_pacman.py: 118 warnings 167s tests/test_polygon.py: 141 warnings 167s tests/test_quarter_annulus.py: 194 warnings 167s tests/test_rectangle.py: 117 warnings 167s tests/test_rectangle_hole.py: 257 warnings 167s tests/test_refinement_point_line.py: 200 warnings 167s tests/test_rotation.py: 144 warnings 167s tests/test_scaling.py: 106 warnings 167s tests/test_square_hole_refined.py: 182 warnings 167s tests/test_stretch.py: 157 warnings 167s tests/test_translation.py: 107 warnings 167s tests/test_union.py: 355 warnings 167s /usr/lib/python3/dist-packages/meshplex/_mesh.py:363: DeprecationWarning: `row_stack` alias is deprecated. Use `np.vstack` directly. 167s norms2 = np.row_stack([norms2[:, k0], [vv[k0]]]) 167s 167s tests/test_circle.py::test_circle[0.1-ref_norms0] 167s /usr/lib/python3/dist-packages/_pytest/python.py:163: PytestReturnNotNoneWarning: Expected None, but tests/test_circle.py::test_circle[0.1-ref_norms0] returned (array([[-2.46257025e-01, -9.69204559e-01], 167s [-1.49716002e-01, -9.88729042e-01], 167s [-5.04267503e-02, -9.98727762e-01], 167s [ 5.04267503e-02, -9.98727762e-01], 167s [ 1.49716002e-01, -9.88729042e-01], 167s [ 2.46257025e-01, -9.69204559e-01], 167s [-5.00000000e-01, -8.66025404e-01], 167s [-4.17065939e-01, -9.08876231e-01], 167s [-3.28776328e-01, -9.37216837e-01], 167s [-2.08397170e-01, -8.92132382e-01], 167s [-1.02704294e-01, -9.01195966e-01], 167s [-2.08166817e-18, -9.05760156e-01], 167s [ 1.02704294e-01, -9.01195966e-01], 167s [ 2.08397170e-01, -8.92132382e-01], 167s [ 3.28776328e-01, -9.37216837e-01], 167s [ 4.17065939e-01, -9.08876231e-01], 167s [ 5.00000000e-01, -8.66025404e-01], 167s [-5.78576935e-01, -8.15627813e-01], 167s [-4.58312331e-01, -7.93820243e-01], 167s [-3.63844702e-01, -8.23119110e-01], 167s [-2.70563048e-01, -8.26343966e-01], 167s [-1.56918384e-01, -8.08503762e-01], 167s [-5.15984955e-02, -8.11969495e-01], 167s [ 5.15984955e-02, -8.11969495e-01], 167s [ 1.56918384e-01, -8.08503762e-01], 167s [ 2.70563048e-01, -8.26343966e-01], 167s [ 3.63844702e-01, -8.23119110e-01], 167s [ 4.58312331e-01, -7.93820243e-01], 167s [ 5.78576935e-01, -8.15627813e-01], 167s [-7.16227258e-01, -6.97867119e-01], 167s [-6.47265426e-01, -7.53337071e-01], 167s [-5.30919709e-01, -7.26658310e-01], 167s [-4.13284039e-01, -7.15828953e-01], 167s [-3.13571363e-01, -7.26887769e-01], 167s [-2.13011366e-01, -7.27624774e-01], 167s [-1.04530988e-01, -7.20274985e-01], 167s [ 4.02455846e-17, -7.20828154e-01], 167s [ 1.04530988e-01, -7.20274985e-01], 167s [ 2.13011366e-01, -7.27624774e-01], 167s [ 3.13571363e-01, -7.26887769e-01], 167s [ 4.13284039e-01, -7.15828953e-01], 167s [ 5.30919709e-01, -7.26658310e-01], 167s [ 6.47265426e-01, -7.53337071e-01], 167s [ 7.16227258e-01, -6.97867119e-01], 167s [-7.81406467e-01, -6.24022382e-01], 167s [-6.68410721e-01, -6.26543434e-01], 167s [-5.80353343e-01, -6.47486456e-01], 167s [-4.72717593e-01, -6.35004651e-01], 167s [-3.63084619e-01, -6.28881008e-01], 167s [-2.60686479e-01, -6.33357900e-01], 167s [-1.57964403e-01, -6.33547340e-01], 167s [-5.22240535e-02, -6.30055043e-01], 167s [ 5.22240535e-02, -6.30055043e-01], 167s [ 1.57964403e-01, -6.33547340e-01], 167s [ 2.60686479e-01, -6.33357900e-01], 167s [ 3.63084619e-01, -6.28881008e-01], 167s [ 4.72717593e-01, -6.35004651e-01], 167s [ 5.80353343e-01, -6.47486456e-01], 167s [ 6.68410721e-01, -6.26543434e-01], 167s [ 7.81406467e-01, -6.24022382e-01], 167s [-8.39710238e-01, -5.43034728e-01], 167s [-7.29106453e-01, -5.39542511e-01], 167s [-6.21725605e-01, -5.40147188e-01], 167s [-5.23635855e-01, -5.48285641e-01], 167s [-4.18160792e-01, -5.42440064e-01], 167s [-3.11512938e-01, -5.39556236e-01], 167s [-2.08122579e-01, -5.41415396e-01], 167s [-1.04742207e-01, -5.41257314e-01], 167s [-5.55111512e-18, -5.39644309e-01], 167s [ 1.04742207e-01, -5.41257314e-01], 167s [ 2.08122579e-01, -5.41415396e-01], 167s [ 3.11512938e-01, -5.39556236e-01], 167s [ 4.18160792e-01, -5.42440064e-01], 167s [ 5.23635855e-01, -5.48285641e-01], 167s [ 6.21725605e-01, -5.40147188e-01], 167s [ 7.29106453e-01, -5.39542511e-01], 167s [ 8.39710238e-01, -5.43034728e-01], 167s [-8.90136989e-01, -4.55693034e-01], 167s [-7.84411305e-01, -4.52880078e-01], 167s [-6.77386962e-01, -4.50670355e-01], 167s [-5.71510941e-01, -4.50663984e-01], 167s [-4.69685890e-01, -4.53574856e-01], 167s [-3.64818198e-01, -4.50947139e-01], 167s [-2.59574507e-01, -4.49596234e-01], 167s [-1.55907665e-01, -4.50265116e-01], 167s [-5.22389661e-02, -4.50090114e-01], 167s [ 5.22389661e-02, -4.50090114e-01], 167s [ 1.55907665e-01, -4.50265116e-01], 167s [ 2.59574507e-01, -4.49596234e-01], 167s [ 3.64818198e-01, -4.50947139e-01], 167s [ 4.69685890e-01, -4.53574856e-01], 167s [ 5.71510941e-01, -4.50663984e-01], 167s [ 6.77386962e-01, -4.50670355e-01], 167s [ 7.84411305e-01, -4.52880078e-01], 167s [ 8.90136989e-01, -4.55693034e-01], 167s [-9.31122469e-01, -3.64706660e-01], 167s [-8.31810748e-01, -3.61653455e-01], 167s [-7.28985457e-01, -3.61299139e-01], 167s [-6.24255493e-01, -3.60414077e-01], 167s [-5.19531646e-01, -3.60254878e-01], 167s [-4.16371481e-01, -3.61338069e-01], 167s [-3.11987197e-01, -3.60152557e-01], 167s [-2.07538435e-01, -3.59467115e-01], 167s [-1.03815268e-01, -3.59685096e-01], 167s [-1.04083409e-17, -3.59886747e-01], 167s [ 1.03815268e-01, -3.59685096e-01], 167s [ 2.07538435e-01, -3.59467115e-01], 167s [ 3.11987197e-01, -3.60152557e-01], 167s [ 4.16371481e-01, -3.61338069e-01], 167s [ 5.19531646e-01, -3.60254878e-01], 167s [ 6.24255493e-01, -3.60414077e-01], 167s [ 7.28985457e-01, -3.61299139e-01], 167s [ 8.31810748e-01, -3.61653455e-01], 167s [ 9.31122469e-01, -3.64706660e-01], 167s [-9.62484282e-01, -2.71337440e-01], 167s [-8.76807891e-01, -2.65588948e-01], 167s [-7.78643989e-01, -2.68356574e-01], 167s [-6.76041929e-01, -2.69611001e-01], 167s [-5.71755699e-01, -2.69800164e-01], 167s [-4.67345680e-01, -2.69822154e-01], 167s [-3.63669989e-01, -2.70285328e-01], 167s [-2.59588797e-01, -2.69749207e-01], 167s [-1.55544429e-01, -2.69410853e-01], 167s [-5.18114380e-02, -2.69616995e-01], 167s [ 5.18114380e-02, -2.69616995e-01], 167s [ 1.55544429e-01, -2.69410853e-01], 167s [ 2.59588797e-01, -2.69749207e-01], 167s [ 3.63669989e-01, -2.70285328e-01], 167s [ 4.67345680e-01, -2.69822154e-01], 167s [ 5.71755699e-01, -2.69800164e-01], 167s [ 6.76041929e-01, -2.69611001e-01], 167s [ 7.78643989e-01, -2.68356574e-01], 167s [ 8.76807891e-01, -2.65588948e-01], 167s [ 9.62484282e-01, -2.71337440e-01], 167s [-9.76041754e-01, -1.83879766e-01], 167s [-8.50916391e-01, -1.78857511e-01], 167s [-7.36647221e-01, -1.79339133e-01], 167s [-6.27650293e-01, -1.79972484e-01], 167s [-5.21113688e-01, -1.79919245e-01], 167s [-4.15908955e-01, -1.79804785e-01], 167s [-3.11671066e-01, -1.79943374e-01], 167s [-2.07589448e-01, -1.79678519e-01], 167s [-1.03670413e-01, -1.79562423e-01], 167s [-1.52655666e-17, -1.79617751e-01], 167s [ 1.03670413e-01, -1.79562423e-01], 167s [ 2.07589448e-01, -1.79678519e-01], 167s [ 3.11671066e-01, -1.79943374e-01], 167s [ 4.15908955e-01, -1.79804785e-01], 167s [ 5.21113688e-01, -1.79919245e-01], 167s [ 6.27650293e-01, -1.79972484e-01], 167s [ 7.36647221e-01, -1.79339133e-01], 167s [ 8.50916391e-01, -1.78857511e-01], 167s [ 9.76041754e-01, -1.83879766e-01], 167s [-9.95642874e-01, -9.32484171e-02], 167s [-8.94764410e-01, -9.64608005e-02], 167s [-7.86288955e-01, -9.18831188e-02], 167s [-6.78847271e-01, -9.09178366e-02], 167s [-5.72940777e-01, -9.04682574e-02], 167s [-4.67894862e-01, -9.01125595e-02], 167s [-3.63404065e-01, -8.99358892e-02], 167s [-2.59400886e-01, -8.99384762e-02], 167s [-1.55553535e-01, -8.98088755e-02], 167s [-5.18224362e-02, -8.97590925e-02], 167s [ 5.18224362e-02, -8.97590925e-02], 167s [ 1.55553535e-01, -8.98088755e-02], 167s [ 2.59400886e-01, -8.99384762e-02], 167s [ 3.63404065e-01, -8.99358892e-02], 167s [ 4.67894862e-01, -9.01125595e-02], 167s [ 5.72940777e-01, -9.04682574e-02], 167s [ 6.78847271e-01, -9.09178366e-02], 167s [ 7.86288955e-01, -9.18831188e-02], 167s [ 8.94764410e-01, -9.64608005e-02], 167s [ 9.95642874e-01, -9.32484171e-02], 167s [-1.00000000e+00, 1.06667506e-16], 167s [-9.16624662e-01, 2.15105711e-17], 167s [-8.26568077e-01, -4.71844785e-17], 167s [-7.26169238e-01, 5.55111512e-18], 167s [-6.23025876e-01, 1.38777878e-17], 167s [-5.19149013e-01, 4.16333634e-18], 167s [-4.15076871e-01, 8.32667268e-18], 167s [-3.11088857e-01, 1.80411242e-17], 167s [-2.07340827e-01, 6.93889390e-18], 167s [-1.03644872e-01, -5.55111512e-18], 167s [-4.16333634e-18, -4.16333634e-18], 167s [ 1.03644872e-01, 4.62223187e-33], 167s [ 2.07340827e-01, -2.77555756e-18], 167s [ 3.11088857e-01, -8.32667268e-18], 167s [ 4.15076871e-01, 2.77555756e-18], 167s [ 5.19149013e-01, 2.77555756e-18], 167s [ 6.23025876e-01, 2.22044605e-17], 167s [ 7.26169238e-01, 4.30211422e-17], 167s [ 8.26568077e-01, 8.32667268e-17], 167s [ 9.16624662e-01, 1.17961196e-17], 167s [ 1.00000000e+00, -6.90851623e-17], 167s [-9.95642874e-01, 9.32484171e-02], 167s [-8.94764410e-01, 9.64608005e-02], 167s [-7.86288955e-01, 9.18831188e-02], 167s [-6.78847271e-01, 9.09178366e-02], 167s [-5.72940777e-01, 9.04682574e-02], 167s [-4.67894862e-01, 9.01125595e-02], 167s [-3.63404065e-01, 8.99358892e-02], 167s [-2.59400886e-01, 8.99384762e-02], 167s [-1.55553535e-01, 8.98088755e-02], 167s [-5.18224362e-02, 8.97590925e-02], 167s [ 5.18224362e-02, 8.97590925e-02], 167s [ 1.55553535e-01, 8.98088755e-02], 167s [ 2.59400886e-01, 8.99384762e-02], 167s [ 3.63404065e-01, 8.99358892e-02], 167s [ 4.67894862e-01, 9.01125595e-02], 167s [ 5.72940777e-01, 9.04682574e-02], 167s [ 6.78847271e-01, 9.09178366e-02], 167s [ 7.86288955e-01, 9.18831188e-02], 167s [ 8.94764410e-01, 9.64608005e-02], 167s [ 9.95642874e-01, 9.32484171e-02], 167s [-9.76041754e-01, 1.83879766e-01], 167s [-8.50916391e-01, 1.78857511e-01], 167s [-7.36647221e-01, 1.79339133e-01], 167s [-6.27650293e-01, 1.79972484e-01], 167s [-5.21113688e-01, 1.79919245e-01], 167s [-4.15908955e-01, 1.79804785e-01], 167s [-3.11671066e-01, 1.79943374e-01], 167s [-2.07589448e-01, 1.79678519e-01], 167s [-1.03670413e-01, 1.79562423e-01], 167s [-4.85722573e-18, 1.79617751e-01], 167s [ 1.03670413e-01, 1.79562423e-01], 167s [ 2.07589448e-01, 1.79678519e-01], 167s [ 3.11671066e-01, 1.79943374e-01], 167s [ 4.15908955e-01, 1.79804785e-01], 167s [ 5.21113688e-01, 1.79919245e-01], 167s [ 6.27650293e-01, 1.79972484e-01], 167s [ 7.36647221e-01, 1.79339133e-01], 167s [ 8.50916391e-01, 1.78857511e-01], 167s [ 9.76041754e-01, 1.83879766e-01], 167s [-9.62484282e-01, 2.71337440e-01], 167s [-8.76807891e-01, 2.65588948e-01], 167s [-7.78643989e-01, 2.68356574e-01], 167s [-6.76041929e-01, 2.69611001e-01], 167s [-5.71755699e-01, 2.69800164e-01], 167s [-4.67345680e-01, 2.69822154e-01], 167s [-3.63669989e-01, 2.70285328e-01], 167s [-2.59588797e-01, 2.69749207e-01], 167s [-1.55544429e-01, 2.69410853e-01], 167s [-5.18114380e-02, 2.69616995e-01], 167s [ 5.18114380e-02, 2.69616995e-01], 167s [ 1.55544429e-01, 2.69410853e-01], 167s [ 2.59588797e-01, 2.69749207e-01], 167s [ 3.63669989e-01, 2.70285328e-01], 167s [ 4.67345680e-01, 2.69822154e-01], 167s [ 5.71755699e-01, 2.69800164e-01], 167s [ 6.76041929e-01, 2.69611001e-01], 167s [ 7.78643989e-01, 2.68356574e-01], 167s [ 8.76807891e-01, 2.65588948e-01], 167s [ 9.62484282e-01, 2.71337440e-01], 167s [-9.31122469e-01, 3.64706660e-01], 167s [-8.31810748e-01, 3.61653455e-01], 167s [-7.28985457e-01, 3.61299139e-01], 167s [-6.24255493e-01, 3.60414077e-01], 167s [-5.19531646e-01, 3.60254878e-01], 167s [-4.16371481e-01, 3.61338069e-01], 167s [-3.11987197e-01, 3.60152557e-01], 167s [-2.07538435e-01, 3.59467115e-01], 167s [-1.03815268e-01, 3.59685096e-01], 167s [ 1.66533454e-17, 3.59886747e-01], 167s [ 1.03815268e-01, 3.59685096e-01], 167s [ 2.07538435e-01, 3.59467115e-01], 167s [ 3.11987197e-01, 3.60152557e-01], 167s [ 4.16371481e-01, 3.61338069e-01], 167s [ 5.19531646e-01, 3.60254878e-01], 167s [ 6.24255493e-01, 3.60414077e-01], 167s [ 7.28985457e-01, 3.61299139e-01], 167s [ 8.31810748e-01, 3.61653455e-01], 167s [ 9.31122469e-01, 3.64706660e-01], 167s [-8.90136989e-01, 4.55693034e-01], 167s [-7.84411305e-01, 4.52880078e-01], 167s [-6.77386962e-01, 4.50670355e-01], 167s [-5.71510941e-01, 4.50663984e-01], 167s [-4.69685890e-01, 4.53574856e-01], 167s [-3.64818198e-01, 4.50947139e-01], 167s [-2.59574507e-01, 4.49596234e-01], 167s [-1.55907665e-01, 4.50265116e-01], 167s [-5.22389661e-02, 4.50090114e-01], 167s [ 5.22389661e-02, 4.50090114e-01], 167s [ 1.55907665e-01, 4.50265116e-01], 167s [ 2.59574507e-01, 4.49596234e-01], 167s [ 3.64818198e-01, 4.50947139e-01], 167s [ 4.69685890e-01, 4.53574856e-01], 167s [ 5.71510941e-01, 4.50663984e-01], 167s [ 6.77386962e-01, 4.50670355e-01], 167s [ 7.84411305e-01, 4.52880078e-01], 167s [ 8.90136989e-01, 4.55693034e-01], 167s [-8.39710238e-01, 5.43034728e-01], 167s [-7.29106453e-01, 5.39542511e-01], 167s [-6.21725605e-01, 5.40147188e-01], 167s [-5.23635855e-01, 5.48285641e-01], 167s [-4.18160792e-01, 5.42440064e-01], 167s [-3.11512938e-01, 5.39556236e-01], 167s [-2.08122579e-01, 5.41415396e-01], 167s [-1.04742207e-01, 5.41257314e-01], 167s [ 3.74700271e-17, 5.39644309e-01], 167s [ 1.04742207e-01, 5.41257314e-01], 167s [ 2.08122579e-01, 5.41415396e-01], 167s [ 3.11512938e-01, 5.39556236e-01], 167s [ 4.18160792e-01, 5.42440064e-01], 167s [ 5.23635855e-01, 5.48285641e-01], 167s [ 6.21725605e-01, 5.40147188e-01], 167s [ 7.29106453e-01, 5.39542511e-01], 167s [ 8.39710238e-01, 5.43034728e-01], 167s [-7.81406467e-01, 6.24022382e-01], 167s [-6.68410721e-01, 6.26543434e-01], 167s [-5.80353343e-01, 6.47486456e-01], 167s [-4.72717593e-01, 6.35004651e-01], 167s [-3.63084619e-01, 6.28881008e-01], 167s [-2.60686479e-01, 6.33357900e-01], 167s [-1.57964403e-01, 6.33547340e-01], 167s [-5.22240535e-02, 6.30055043e-01], 167s [ 5.22240535e-02, 6.30055043e-01], 167s [ 1.57964403e-01, 6.33547340e-01], 167s [ 2.60686479e-01, 6.33357900e-01], 167s [ 3.63084619e-01, 6.28881008e-01], 167s [ 4.72717593e-01, 6.35004651e-01], 167s [ 5.80353343e-01, 6.47486456e-01], 167s [ 6.68410721e-01, 6.26543434e-01], 167s [ 7.81406467e-01, 6.24022382e-01], 167s [-7.16227258e-01, 6.97867119e-01], 167s [-6.47265426e-01, 7.53337071e-01], 167s [-5.30919709e-01, 7.26658310e-01], 167s [-4.13284039e-01, 7.15828953e-01], 167s [-3.13571363e-01, 7.26887769e-01], 167s [-2.13011366e-01, 7.27624774e-01], 167s [-1.04530988e-01, 7.20274985e-01], 167s [ 9.43689571e-17, 7.20828154e-01], 167s [ 1.04530988e-01, 7.20274985e-01], 167s [ 2.13011366e-01, 7.27624774e-01], 167s [ 3.13571363e-01, 7.26887769e-01], 167s [ 4.13284039e-01, 7.15828953e-01], 167s [ 5.30919709e-01, 7.26658310e-01], 167s [ 6.47265426e-01, 7.53337071e-01], 167s [ 7.16227258e-01, 6.97867119e-01], 167s [-5.78576935e-01, 8.15627813e-01], 167s [-4.58312331e-01, 7.93820243e-01], 167s [-3.63844702e-01, 8.23119110e-01], 167s [-2.70563048e-01, 8.26343966e-01], 167s [-1.56918384e-01, 8.08503762e-01], 167s [-5.15984955e-02, 8.11969495e-01], 167s [ 5.15984955e-02, 8.11969495e-01], 167s [ 1.56918384e-01, 8.08503762e-01], 167s [ 2.70563048e-01, 8.26343966e-01], 167s [ 3.63844702e-01, 8.23119110e-01], 167s [ 4.58312331e-01, 7.93820243e-01], 167s [ 5.78576935e-01, 8.15627813e-01], 167s [-5.00000000e-01, 8.66025404e-01], 167s [-4.17065939e-01, 9.08876231e-01], 167s [-3.28776328e-01, 9.37216837e-01], 167s [-2.08397170e-01, 8.92132382e-01], 167s [-1.02704294e-01, 9.01195966e-01], 167s [ 5.55111512e-17, 9.05760156e-01], 167s [ 1.02704294e-01, 9.01195966e-01], 167s [ 2.08397170e-01, 8.92132382e-01], 167s [ 3.28776328e-01, 9.37216837e-01], 167s [ 4.17065939e-01, 9.08876231e-01], 167s [ 5.00000000e-01, 8.66025404e-01], 167s [-2.46257025e-01, 9.69204559e-01], 167s [-1.49716002e-01, 9.88729042e-01], 167s [-5.04267503e-02, 9.98727762e-01], 167s [ 5.04267503e-02, 9.98727762e-01], 167s [ 1.49716002e-01, 9.88729042e-01], 167s [ 2.46257025e-01, 9.69204559e-01]]), array([[258, 276, 257], 167s [ 1, 2, 10], 167s [ 1, 9, 0], 167s ..., 167s [264, 244, 245], 167s [225, 244, 224], 167s [244, 225, 245]], shape=(678, 3))), which will be an error in a future version of pytest. Did you mean to use `assert` instead of `return`? 167s warnings.warn( 167s 167s tests/test_circle.py::test_circle[0.4-ref_norms1] 167s /usr/lib/python3/dist-packages/_pytest/python.py:163: PytestReturnNotNoneWarning: Expected None, but tests/test_circle.py::test_circle[0.4-ref_norms1] returned (array([[-5.00000000e-01, -8.66025404e-01], 167s [-7.05121186e-17, -1.00000000e+00], 167s [ 5.00000000e-01, -8.66025404e-01], 167s [-8.66025404e-01, -5.00000000e-01], 167s [-2.66010790e-01, -4.60744204e-01], 167s [ 2.66010790e-01, -4.60744204e-01], 167s [ 8.66025404e-01, -5.00000000e-01], 167s [-1.00000000e+00, 4.16165818e-17], 167s [-5.32021580e-01, 2.22044605e-17], 167s [-5.27355937e-17, 2.22044605e-17], 167s [ 5.32021580e-01, -6.10622664e-17], 167s [ 1.00000000e+00, -1.51741794e-16], 167s [-8.66025404e-01, 5.00000000e-01], 167s [-2.66010790e-01, 4.60744204e-01], 167s [ 2.66010790e-01, 4.60744204e-01], 167s [ 8.66025404e-01, 5.00000000e-01], 167s [-5.00000000e-01, 8.66025404e-01], 167s [ 1.38333596e-16, 1.00000000e+00], 167s [ 5.00000000e-01, 8.66025404e-01]]), array([[ 4, 3, 0], 167s [ 8, 4, 9], 167s [ 8, 12, 7], 167s [ 8, 3, 4], 167s [ 3, 8, 7], 167s [ 1, 4, 0], 167s [10, 14, 9], 167s [17, 14, 18], 167s [10, 6, 11], 167s [14, 15, 18], 167s [10, 15, 14], 167s [15, 10, 11], 167s [14, 13, 9], 167s [12, 13, 16], 167s [13, 8, 9], 167s [ 8, 13, 12], 167s [17, 13, 14], 167s [13, 17, 16], 167s [ 1, 5, 4], 167s [ 4, 5, 9], 167s [ 5, 1, 2], 167s [ 5, 10, 9], 167s [ 5, 6, 10], 167s [ 6, 5, 2]])), which will be an error in a future version of pytest. Did you mean to use `assert` instead of `return`? 167s warnings.warn( 167s 167s tests/test_difference.py::test_difference 167s /usr/lib/python3/dist-packages/_pytest/python.py:163: PytestReturnNotNoneWarning: Expected None, but tests/test_difference.py::test_difference returned (array([[-4.10390055e-11, -8.66025404e-01], 167s [ 5.61717339e-13, 8.66025404e-01], 167s [-7.52722343e-01, -9.67538845e-01], 167s [-6.42202310e-01, -9.89837614e-01], 167s [-5.32432965e-01, -9.99473913e-01], 167s [-4.24382164e-01, -9.97136873e-01], 167s [-3.12452667e-01, -9.82255566e-01], 167s [-2.06406023e-01, -9.55930216e-01], 167s [-9.75323019e-01, -8.79811359e-01], 167s [-8.83762176e-01, -9.23431964e-01], 167s [-7.94794480e-01, -8.90097017e-01], 167s [-6.81026796e-01, -8.90952163e-01], 167s [-5.76176416e-01, -9.00527631e-01], 167s [-4.75105247e-01, -8.99569147e-01], 167s [-3.79950003e-01, -9.02068043e-01], 167s [-2.87115477e-01, -8.75531955e-01], 167s [-1.87049707e-01, -8.49077377e-01], 167s [-1.01540558e-01, -9.17185953e-01], 167s [-1.06283852e+00, -8.26566876e-01], 167s [-9.43430646e-01, -8.02958039e-01], 167s [-8.46491637e-01, -8.09763759e-01], 167s [-7.32437280e-01, -8.03165659e-01], 167s [-6.17941844e-01, -8.04160534e-01], 167s [-5.06046466e-01, -8.06092470e-01], 167s [-3.90306704e-01, -8.04496949e-01], 167s [-2.76549331e-01, -7.77123897e-01], 167s [-1.67344797e-01, -7.44748898e-01], 167s [-8.61657858e-02, -8.10191133e-01], 167s [-1.20770017e+00, -7.06512891e-01], 167s [-1.13313020e+00, -7.59069389e-01], 167s [-1.01632274e+00, -7.31595738e-01], 167s [-8.99350740e-01, -7.13319086e-01], 167s [-7.89433976e-01, -7.17698475e-01], 167s [-6.75359274e-01, -7.14951144e-01], 167s [-5.63637051e-01, -7.14388413e-01], 167s [-4.53366795e-01, -7.14531439e-01], 167s [-3.46573575e-01, -7.01870582e-01], 167s [-2.38504009e-01, -6.74249085e-01], 167s [-1.27558634e+00, -6.31241493e-01], 167s [-1.16001023e+00, -6.31871389e-01], 167s [-1.06792136e+00, -6.50216468e-01], 167s [-9.58625309e-01, -6.34320036e-01], 167s [-8.43352705e-01, -6.26259315e-01], 167s [-7.32355447e-01, -6.27788435e-01], 167s [-6.20028021e-01, -6.23369257e-01], 167s [-5.11675930e-01, -6.21636895e-01], 167s [-4.06591930e-01, -6.14757780e-01], 167s [-3.01706711e-01, -5.97717617e-01], 167s [-1.33591050e+00, -5.48865768e-01], 167s [-1.22291060e+00, -5.43913795e-01], 167s [-1.11232565e+00, -5.42875767e-01], 167s [-1.01062757e+00, -5.48114582e-01], 167s [-9.00476295e-01, -5.41592344e-01], 167s [-7.87821652e-01, -5.37584505e-01], 167s [-6.77182063e-01, -5.37275119e-01], 167s [-5.64832316e-01, -5.28553077e-01], 167s [-4.61053036e-01, -5.23060434e-01], 167s [-3.58246564e-01, -5.13237601e-01], 167s [-1.38775666e+00, -4.60313067e-01], 167s [-1.27981368e+00, -4.56274406e-01], 167s [-1.16979970e+00, -4.53171357e-01], 167s [-1.06037072e+00, -4.51296182e-01], 167s [-9.53979212e-01, -4.53122559e-01], 167s [-8.44101969e-01, -4.50227891e-01], 167s [-7.33071623e-01, -4.47875395e-01], 167s [-6.22488923e-01, -4.47280229e-01], 167s [-5.06885308e-01, -4.29033737e-01], 167s [-4.06562617e-01, -4.22071347e-01], 167s [-1.42968057e+00, -3.68366724e-01], 167s [-1.32845432e+00, -3.63886260e-01], 167s [-1.22290146e+00, -3.63173347e-01], 167s [-1.11490629e+00, -3.61420039e-01], 167s [-1.00601311e+00, -3.60271052e-01], 167s [-8.98277097e-01, -3.60804961e-01], 167s [-7.89124464e-01, -3.59281563e-01], 167s [-6.79286606e-01, -3.57971709e-01], 167s [-5.69181648e-01, -3.60589703e-01], 167s [-4.45639271e-01, -3.25217419e-01], 167s [-1.46169549e+00, -2.74120012e-01], 167s [-1.37488555e+00, -2.66657160e-01], 167s [-1.27403208e+00, -2.69324020e-01], 167s [-1.16828149e+00, -2.70341823e-01], 167s [-1.06036527e+00, -2.70036877e-01], 167s [-9.52012996e-01, -2.69286221e-01], 167s [-8.44646228e-01, -2.68981580e-01], 167s [-7.37824549e-01, -2.67557566e-01], 167s [-6.32993173e-01, -2.66451389e-01], 167s [-5.32810453e-01, -2.79968205e-01], 167s [-1.48242517e+00, -1.86656850e-01], 167s [-1.34891881e+00, -1.79652908e-01], 167s [-1.23052618e+00, -1.79798476e-01], 167s [-1.11762162e+00, -1.80196057e-01], 167s [-1.00699904e+00, -1.79595635e-01], 167s [-8.97385545e-01, -1.78531326e-01], 167s [-7.88635748e-01, -1.77242863e-01], 167s [-6.80502614e-01, -1.74917684e-01], 167s [-5.73676386e-01, -1.76419401e-01], 167s [-4.78029568e-01, -2.08466218e-01], 167s [-1.49558421e+00, -9.38726399e-02], 167s [-1.39341588e+00, -9.78819312e-02], 167s [-1.28152249e+00, -9.25149795e-02], 167s [-1.17025580e+00, -9.12249343e-02], 167s [-1.06021311e+00, -9.05089497e-02], 167s [-9.50357235e-01, -8.97368759e-02], 167s [-8.39870769e-01, -8.89049486e-02], 167s [-7.27872880e-01, -8.79017220e-02], 167s [-6.12515258e-01, -8.82668279e-02], 167s [-4.94998015e-01, -9.98946943e-02], 167s [-1.50000000e+00, 2.73839794e-14], 167s [-1.41403537e+00, 3.28008454e-14], 167s [-1.32252073e+00, 3.71813691e-14], 167s [-1.21921605e+00, 5.43939893e-14], 167s [-1.11254099e+00, 7.74491582e-14], 167s [-1.00470821e+00, 1.05111753e-13], 167s [-8.96232488e-01, 1.40215617e-13], 167s [-7.87539168e-01, 1.91509308e-13], 167s [-6.79537646e-01, 2.46415388e-13], 167s [-5.77116898e-01, 2.55257621e-13], 167s [-5.00000000e-01, 4.79616951e-13], 167s [-1.49558421e+00, 9.38726399e-02], 167s [-1.39341588e+00, 9.78819312e-02], 167s [-1.28152249e+00, 9.25149795e-02], 167s [-1.17025580e+00, 9.12249343e-02], 167s [-1.06021311e+00, 9.05089497e-02], 167s [-9.50357235e-01, 8.97368759e-02], 167s [-8.39870769e-01, 8.89049486e-02], 167s [-7.27872880e-01, 8.79017220e-02], 167s [-6.12515258e-01, 8.82668279e-02], 167s [-4.94998015e-01, 9.98946943e-02], 167s [-1.48242517e+00, 1.86656850e-01], 167s [-1.34891881e+00, 1.79652908e-01], 167s [-1.23052618e+00, 1.79798476e-01], 167s [-1.11762162e+00, 1.80196057e-01], 167s [-1.00699904e+00, 1.79595635e-01], 167s [-8.97385545e-01, 1.78531326e-01], 167s [-7.88635748e-01, 1.77242863e-01], 167s [-6.80502614e-01, 1.74917684e-01], 167s [-5.73676386e-01, 1.76419401e-01], 167s [-4.78029568e-01, 2.08466218e-01], 167s [-1.46169549e+00, 2.74120012e-01], 167s [-1.37488555e+00, 2.66657160e-01], 167s [-1.27403208e+00, 2.69324020e-01], 167s [-1.16828149e+00, 2.70341823e-01], 167s [-1.06036527e+00, 2.70036877e-01], 167s [-9.52012996e-01, 2.69286221e-01], 167s [-8.44646228e-01, 2.68981580e-01], 167s [-7.37824549e-01, 2.67557566e-01], 167s [-6.32993173e-01, 2.66451389e-01], 167s [-5.32810453e-01, 2.79968205e-01], 167s [-1.42968057e+00, 3.68366724e-01], 167s [-1.32845432e+00, 3.63886260e-01], 167s [-1.22290146e+00, 3.63173347e-01], 167s [-1.11490629e+00, 3.61420039e-01], 167s [-1.00601311e+00, 3.60271052e-01], 167s [-8.98277097e-01, 3.60804961e-01], 167s [-7.89124464e-01, 3.59281563e-01], 167s [-6.79286606e-01, 3.57971709e-01], 167s [-5.69181648e-01, 3.60589703e-01], 167s [-4.45639271e-01, 3.25217419e-01], 167s [-1.38775666e+00, 4.60313067e-01], 167s [-1.27981368e+00, 4.56274406e-01], 167s [-1.16979970e+00, 4.53171357e-01], 167s [-1.06037072e+00, 4.51296182e-01], 167s [-9.53979212e-01, 4.53122559e-01], 167s [-8.44101969e-01, 4.50227891e-01], 167s [-7.33071623e-01, 4.47875395e-01], 167s [-6.22488923e-01, 4.47280229e-01], 167s [-5.06885308e-01, 4.29033737e-01], 167s [-4.06562617e-01, 4.22071347e-01], 167s [-1.33591050e+00, 5.48865768e-01], 167s [-1.22291060e+00, 5.43913795e-01], 167s [-1.11232565e+00, 5.42875767e-01], 167s [-1.01062757e+00, 5.48114582e-01], 167s [-9.00476295e-01, 5.41592344e-01], 167s [-7.87821652e-01, 5.37584505e-01], 167s [-6.77182063e-01, 5.37275119e-01], 167s [-5.64832316e-01, 5.28553077e-01], 167s [-4.61053036e-01, 5.23060434e-01], 167s [-3.58246564e-01, 5.13237601e-01], 167s [-1.27558634e+00, 6.31241493e-01], 167s [-1.16001023e+00, 6.31871389e-01], 167s [-1.06792136e+00, 6.50216468e-01], 167s [-9.58625309e-01, 6.34320036e-01], 167s [-8.43352705e-01, 6.26259315e-01], 167s [-7.32355447e-01, 6.27788435e-01], 167s [-6.20028021e-01, 6.23369257e-01], 167s [-5.11675930e-01, 6.21636895e-01], 167s [-4.06591930e-01, 6.14757780e-01], 167s [-3.01706711e-01, 5.97717617e-01], 167s [-1.20770017e+00, 7.06512891e-01], 167s [-1.13313020e+00, 7.59069389e-01], 167s [-1.01632274e+00, 7.31595738e-01], 167s [-8.99350740e-01, 7.13319086e-01], 167s [-7.89433976e-01, 7.17698475e-01], 167s [-6.75359274e-01, 7.14951144e-01], 167s [-5.63637051e-01, 7.14388413e-01], 167s [-4.53366795e-01, 7.14531439e-01], 167s [-3.46573575e-01, 7.01870582e-01], 167s [-2.38504009e-01, 6.74249085e-01], 167s [-1.06283852e+00, 8.26566876e-01], 167s [-9.43430646e-01, 8.02958039e-01], 167s [-8.46491637e-01, 8.09763759e-01], 167s [-7.32437280e-01, 8.03165659e-01], 167s [-6.17941844e-01, 8.04160534e-01], 167s [-5.06046466e-01, 8.06092470e-01], 167s [-3.90306704e-01, 8.04496949e-01], 167s [-2.76549331e-01, 7.77123897e-01], 167s [-1.67344797e-01, 7.44748898e-01], 167s [-8.61657858e-02, 8.10191133e-01], 167s [-9.75323019e-01, 8.79811359e-01], 167s [-8.83762176e-01, 9.23431964e-01], 167s [-7.94794480e-01, 8.90097017e-01], 167s [-6.81026796e-01, 8.90952163e-01], 167s [-5.76176415e-01, 9.00527631e-01], 167s [-4.75105247e-01, 8.99569147e-01], 167s [-3.79950003e-01, 9.02068043e-01], 167s [-2.87115477e-01, 8.75531955e-01], 167s [-1.87049707e-01, 8.49077377e-01], 167s [-1.01540558e-01, 9.17185953e-01], 167s [-7.52722343e-01, 9.67538845e-01], 167s [-6.42202310e-01, 9.89837614e-01], 167s [-5.32432965e-01, 9.99473913e-01], 167s [-4.24382164e-01, 9.97136873e-01], 167s [-3.12452667e-01, 9.82255566e-01], 167s [-2.06406023e-01, 9.55930216e-01]]), array([[ 0, 27, 17], 167s [178, 188, 187], 167s [ 3, 11, 2], 167s ..., 167s [135, 125, 126], 167s [135, 145, 134], 167s [145, 135, 146]], shape=(390, 3))), which will be an error in a future version of pytest. Did you mean to use `assert` instead of `return`? 167s warnings.warn( 167s 167s tests/test_halfspace.py::test_halfspace 167s /usr/lib/python3/dist-packages/_pytest/python.py:163: PytestReturnNotNoneWarning: Expected None, but tests/test_halfspace.py::test_halfspace returned (array([[-0.70710678, 0.70710678], 167s [ 0.70710678, -0.70710678], 167s [ 0.64559566, -0.64559566], 167s [ 0.58230963, -0.58230963], 167s [ 0.77178719, -0.63588092], 167s [ 0.5188046 , -0.5188046 ], 167s [ 0.70497861, -0.56243491], 167s [ 0.83046861, -0.55706543], 167s [ 0.44535023, -0.44535023], 167s [ 0.55427871, -0.43580452], 167s [ 0.64252023, -0.48458818], 167s [ 0.76373392, -0.47853678], 167s [ 0.88326558, -0.46887303], 167s [ 0.37380692, -0.37380692], 167s [ 0.48736433, -0.35519162], 167s [ 0.60952979, -0.36786389], 167s [ 0.70739183, -0.39245655], 167s [ 0.81789505, -0.38703424], 167s [ 0.92831034, -0.37180629], 167s [ 0.30237521, -0.30237521], 167s [ 0.4188984 , -0.27979387], 167s [ 0.54542361, -0.28300875], 167s [ 0.65975213, -0.28556191], 167s [ 0.76050723, -0.29575563], 167s [ 0.86289764, -0.28922101], 167s [ 0.9634113 , -0.26802736], 167s [ 0.22201337, -0.22201337], 167s [ 0.31903496, -0.20730723], 167s [ 0.40823857, -0.18441493], 167s [ 0.50360113, -0.19790395], 167s [ 0.61085144, -0.19542603], 167s [ 0.71837859, -0.19548223], 167s [ 0.8206948 , -0.19669731], 167s [ 0.92614498, -0.19058371], 167s [ 0.14615136, -0.14615136], 167s [ 0.24624854, -0.11987288], 167s [ 0.34591289, -0.10112143], 167s [ 0.45543498, -0.09655785], 167s [ 0.55864763, -0.10438248], 167s [ 0.66602151, -0.10313533], 167s [ 0.77323791, -0.10092378], 167s [ 0.87961755, -0.10155491], 167s [ 0.99198396, -0.12636388], 167s [ 0.00656171, -0.00656171], 167s [ 0.07339763, -0.07339763], 167s [ 0.17549909, -0.03965175], 167s [ 0.28286507, -0.01893818], 167s [ 0.39463563, -0.0104938 ], 167s [ 0.50550038, -0.00830187], 167s [ 0.61142097, -0.01121458], 167s [ 0.71735001, -0.00852027], 167s [ 0.82053391, -0.00421634], 167s [ 0.9160933 , -0.01139297], 167s [ 0.99959987, -0.02828608], 167s [-0.06961985, 0.06961985], 167s [ 0.03140265, 0.08585288], 167s [ 0.11737703, 0.04273909], 167s [ 0.22469058, 0.06168484], 167s [ 0.33685228, 0.07317668], 167s [ 0.44948495, 0.07895933], 167s [ 0.56102704, 0.08135376], 167s [ 0.67056484, 0.08204174], 167s [ 0.78222555, 0.0860794 ], 167s [ 0.8961077 , 0.08910376], 167s [ 0.99723578, 0.07430209], 167s [-0.14091595, 0.14091595], 167s [-0.03199945, 0.16759364], 167s [ 0.08342943, 0.1610271 ], 167s [ 0.17850404, 0.14754877], 167s [ 0.28527263, 0.15806939], 167s [ 0.39541052, 0.1648357 ], 167s [ 0.50683844, 0.16901814], 167s [ 0.61871852, 0.17133468], 167s [ 0.73213269, 0.17169442], 167s [ 0.85262445, 0.17127162], 167s [ 0.98505801, 0.17222288], 167s [-0.27293358, 0.27293358], 167s [-0.20837398, 0.21017093], 167s [-0.09468285, 0.24235914], 167s [ 0.02479086, 0.25078989], 167s [ 0.13532295, 0.25059693], 167s [ 0.23765514, 0.24710129], 167s [ 0.34455873, 0.25329452], 167s [ 0.45257273, 0.25727788], 167s [ 0.5615402 , 0.26033919], 167s [ 0.67010004, 0.26195488], 167s [ 0.77671869, 0.26050674], 167s [ 0.87724316, 0.25939597], 167s [ 0.96472332, 0.26326585], 167s [-0.34459402, 0.34459402], 167s [-0.22883285, 0.3481691 ], 167s [-0.13900477, 0.32425218], 167s [-0.02881439, 0.33586819], 167s [ 0.08260623, 0.34167651], 167s [ 0.19075777, 0.34324611], 167s [ 0.29597681, 0.34377826], 167s [ 0.40292285, 0.34854175], 167s [ 0.50932797, 0.3506502 ], 167s [ 0.6174869 , 0.35304338], 167s [ 0.72569825, 0.35478454], 167s [ 0.83118827, 0.35613653], 167s [ 0.93300646, 0.35985961], 167s [-0.41659803, 0.41659803], 167s [-0.2970893 , 0.43151762], 167s [-0.18121992, 0.43363941], 167s [-0.07865272, 0.42516443], 167s [ 0.03041395, 0.43091756], 167s [ 0.13892436, 0.43527599], 167s [ 0.24608511, 0.43684306], 167s [ 0.35320634, 0.43933503], 167s [ 0.46045059, 0.44466283], 167s [ 0.56483052, 0.44416426], 167s [ 0.67350964, 0.44543787], 167s [ 0.78333825, 0.44857446], 167s [ 0.89186993, 0.45229197], 167s [-0.49769631, 0.49769631], 167s [-0.40994487, 0.51961428], 167s [-0.32117865, 0.52193285], 167s [-0.22368833, 0.52533011], 167s [-0.12001208, 0.52591766], 167s [-0.01715529, 0.5220475 ], 167s [ 0.08931841, 0.52707484], 167s [ 0.19545559, 0.53013162], 167s [ 0.30156439, 0.53033648], 167s [ 0.41040404, 0.53488973], 167s [ 0.51795381, 0.54321728], 167s [ 0.61782005, 0.53666134], 167s [ 0.72756012, 0.53657344], 167s [ 0.84131011, 0.54055277], 167s [-0.57175514, 0.57175514], 167s [-0.4805542 , 0.60987179], 167s [-0.37513108, 0.6195852 ], 167s [-0.2757713 , 0.62320071], 167s [-0.17395646, 0.62279652], 167s [-0.06677341, 0.61886555], 167s [ 0.03828597, 0.61840722], 167s [ 0.14586563, 0.62388946], 167s [ 0.25105788, 0.62566325], 167s [ 0.35611951, 0.62297103], 167s [ 0.46842258, 0.63116094], 167s [ 0.57800761, 0.6463679 ], 167s [ 0.66687519, 0.62544912], 167s [ 0.78285446, 0.62220486], 167s [-0.6425636 , 0.6425636 ], 167s [-0.55725445, 0.68977592], 167s [-0.4371224 , 0.70392491], 167s [-0.33433449, 0.72189256], 167s [-0.23375338, 0.72204293], 167s [-0.12170741, 0.71231934], 167s [-0.01407019, 0.7130238 ], 167s [ 0.09255563, 0.71305765], 167s [ 0.20330518, 0.72159145], 167s [ 0.30636256, 0.7224238 ], 167s [ 0.40868998, 0.71276481], 167s [ 0.5301205 , 0.72625711], 167s [ 0.65086469, 0.75919376], 167s [ 0.71724416, 0.69682194], 167s [-0.62759752, 0.77853796], 167s [-0.50106267, 0.77141469], 167s [-0.39802062, 0.81247795], 167s [-0.29792416, 0.82615892], 167s [-0.17749425, 0.80221487], 167s [-0.06767753, 0.80609022], 167s [ 0.03887734, 0.80728024], 167s [ 0.14687596, 0.8047284 ], 167s [ 0.26281086, 0.82338501], 167s [ 0.35806631, 0.82199505], 167s [ 0.4543205 , 0.79308423], 167s [ 0.57670211, 0.81695451], 167s [-0.54030297, 0.84147056], 167s [-0.45343481, 0.89128944], 167s [-0.36158623, 0.93233867], 167s [-0.22457835, 0.88628495], 167s [-0.11775579, 0.89714094], 167s [-0.01294921, 0.90299895], 167s [ 0.09227987, 0.89956971], 167s [ 0.20050013, 0.89133714], 167s [ 0.32259153, 0.93756362], 167s [ 0.41280516, 0.91081935], 167s [ 0.49701487, 0.86774202], 167s [-0.27023767, 0.96279365], 167s [-0.16808394, 0.98577269], 167s [-0.06503129, 0.99788323], 167s [ 0.03883605, 0.9992456 ], 167s [ 0.14073717, 0.99004699], 167s [ 0.23940798, 0.97091906]]), array([[ 12, 18, 17], 167s [ 6, 3, 2], 167s [ 4, 2, 1], 167s [ 6, 2, 4], 167s [ 22, 21, 15], 167s [ 9, 10, 15], 167s [ 11, 12, 17], 167s [ 11, 10, 6], 167s [185, 177, 178], 167s [143, 157, 0], 167s [ 90, 103, 89], 167s [103, 102, 89], 167s [184, 183, 175], 167s [183, 174, 175], 167s [172, 181, 180], 167s [181, 172, 173], 167s [ 70, 59, 71], 167s [ 59, 70, 58], 167s [ 13, 20, 19], 167s [ 20, 21, 29], 167s [ 10, 5, 3], 167s [ 10, 3, 6], 167s [ 9, 5, 10], 167s [ 5, 9, 8], 167s [ 4, 7, 6], 167s [ 11, 7, 12], 167s [ 7, 11, 6], 167s [176, 177, 185], 167s [184, 176, 185], 167s [176, 184, 175], 167s [164, 176, 175], 167s [161, 172, 160], 167s [172, 161, 173], 167s [102, 116, 115], 167s [144, 157, 143], 167s [146, 160, 159], 167s [132, 146, 131], 167s [171, 170, 159], 167s [160, 171, 159], 167s [180, 160, 172], 167s [180, 171, 160], 167s [174, 182, 173], 167s [182, 174, 183], 167s [182, 181, 173], 167s [ 85, 86, 99], 167s [ 98, 85, 99], 167s [ 43, 44, 56], 167s [ 44, 34, 45], 167s [ 19, 27, 26], 167s [ 57, 46, 58], 167s [ 46, 57, 45], 167s [ 83, 70, 71], 167s [ 9, 14, 8], 167s [ 21, 14, 15], 167s [ 14, 13, 8], 167s [ 14, 9, 15], 167s [ 20, 14, 21], 167s [ 14, 20, 13], 167s [ 42, 33, 25], 167s [ 33, 42, 41], 167s [ 23, 31, 22], 167s [ 10, 16, 15], 167s [ 16, 11, 17], 167s [ 16, 22, 15], 167s [ 11, 16, 10], 167s [ 16, 23, 22], 167s [ 23, 16, 17], 167s [107, 106, 93], 167s [106, 120, 105], 167s [106, 92, 93], 167s [ 92, 106, 105], 167s [ 92, 91, 78], 167s [ 91, 92, 105], 167s [104, 91, 105], 167s [104, 103, 90], 167s [ 91, 104, 90], 167s [ 55, 54, 43], 167s [ 76, 90, 89], 167s [177, 166, 178], 167s [ 31, 40, 39], 167s [ 62, 63, 74], 167s [ 63, 75, 74], 167s [126, 141, 140], 167s [129, 144, 143], 167s [158, 170, 169], 167s [158, 159, 170], 167s [157, 158, 169], 167s [144, 158, 157], 167s [117, 116, 102], 167s [103, 117, 102], 167s [116, 117, 131], 167s [117, 132, 131], 167s [ 38, 37, 29], 167s [ 37, 38, 48], 167s [ 38, 49, 48], 167s [ 49, 38, 39], 167s [ 73, 72, 61], 167s [ 62, 73, 61], 167s [ 73, 62, 74], 167s [ 72, 73, 85], 167s [ 73, 86, 85], 167s [ 86, 73, 74], 167s [113, 112, 99], 167s [112, 126, 111], 167s [ 98, 112, 111], 167s [112, 98, 99], 167s [ 34, 35, 45], 167s [ 35, 34, 26], 167s [ 27, 35, 26], 167s [ 35, 27, 36], 167s [ 35, 46, 45], 167s [ 46, 35, 36], 167s [ 70, 69, 58], 167s [ 69, 57, 58], 167s [ 56, 67, 55], 167s [ 43, 56, 55], 167s [ 56, 44, 45], 167s [ 57, 56, 45], 167s [ 84, 72, 85], 167s [ 72, 84, 71], 167s [ 98, 84, 85], 167s [ 84, 83, 71], 167s [ 24, 23, 17], 167s [ 18, 24, 17], 167s [ 24, 18, 25], 167s [ 33, 24, 25], 167s [ 21, 30, 29], 167s [ 30, 21, 22], 167s [ 30, 38, 29], 167s [ 38, 30, 39], 167s [ 30, 31, 39], 167s [ 31, 30, 22], 167s [122, 107, 108], 167s [ 95, 94, 81], 167s [ 94, 95, 108], 167s [ 80, 94, 93], 167s [ 94, 80, 81], 167s [107, 94, 108], 167s [ 94, 107, 93], 167s [ 80, 79, 67], 167s [ 79, 80, 93], 167s [ 79, 92, 78], 167s [ 92, 79, 93], 167s [120, 119, 105], 167s [119, 104, 105], 167s [ 77, 91, 90], 167s [ 91, 77, 78], 167s [ 77, 65, 78], 167s [ 77, 76, 65], 167s [ 76, 77, 90], 167s [164, 165, 176], 167s [176, 165, 177], 167s [165, 166, 177], 167s [167, 168, 179], 167s [167, 179, 178], 167s [166, 167, 178], 167s [167, 166, 153], 167s [154, 167, 153], 167s [167, 154, 168], 167s [174, 163, 175], 167s [163, 164, 175], 167s [163, 150, 164], 167s [150, 163, 149], 167s [135, 150, 149], 167s [150, 135, 136], 167s [147, 161, 160], 167s [147, 132, 133], 167s [146, 147, 160], 167s [132, 147, 146], 167s [148, 147, 133], 167s [147, 148, 161], 167s [ 63, 64, 75], 167s [ 51, 40, 41], 167s [ 51, 63, 62], 167s [ 87, 86, 74], 167s [ 75, 87, 74], 167s [ 88, 87, 75], 167s [154, 155, 168], 167s [155, 154, 140], 167s [155, 141, 156], 167s [141, 155, 140], 167s [130, 116, 131], 167s [116, 130, 115], 167s [129, 130, 144], 167s [130, 129, 115], 167s [ 59, 47, 48], 167s [ 47, 59, 58], 167s [ 46, 47, 58], 167s [ 47, 46, 36], 167s [ 37, 47, 36], 167s [ 47, 37, 48], 167s [ 28, 20, 29], 167s [ 27, 28, 36], 167s [ 20, 28, 27], 167s [ 20, 27, 19], 167s [ 37, 28, 29], 167s [ 28, 37, 36], 167s [ 60, 59, 48], 167s [ 72, 60, 61], 167s [ 59, 60, 71], 167s [ 60, 72, 71], 167s [ 49, 60, 48], 167s [ 60, 49, 61], 167s [127, 141, 126], 167s [112, 127, 126], 167s [127, 112, 113], 167s [ 82, 83, 96], 167s [ 95, 82, 96], 167s [ 82, 95, 81], 167s [ 83, 82, 70], 167s [ 82, 69, 70], 167s [ 69, 82, 81], 167s [ 68, 80, 67], 167s [ 80, 68, 81], 167s [ 68, 69, 81], 167s [ 69, 68, 57], 167s [ 68, 56, 57], 167s [ 56, 68, 67], 167s [ 97, 98, 111], 167s [ 83, 97, 96], 167s [ 84, 97, 83], 167s [ 97, 84, 98], 167s [ 40, 32, 41], 167s [ 32, 33, 41], 167s [ 32, 31, 23], 167s [ 32, 40, 31], 167s [ 32, 24, 33], 167s [ 24, 32, 23], 167s [122, 137, 136], 167s [ 66, 54, 55], 167s [ 67, 66, 55], 167s [ 65, 66, 78], 167s [ 54, 66, 65], 167s [ 79, 66, 67], 167s [ 66, 79, 78], 167s [104, 118, 103], 167s [132, 118, 133], 167s [118, 117, 103], 167s [117, 118, 132], 167s [119, 118, 104], 167s [118, 119, 133], 167s [109, 95, 96], 167s [ 95, 109, 108], 167s [154, 139, 140], 167s [139, 154, 153], 167s [138, 139, 153], 167s [124, 139, 138], 167s [162, 148, 149], 167s [162, 174, 173], 167s [161, 162, 173], 167s [148, 162, 161], 167s [162, 163, 174], 167s [163, 162, 149], 167s [107, 121, 106], 167s [121, 122, 136], 167s [121, 120, 106], 167s [122, 121, 107], 167s [121, 135, 120], 167s [135, 121, 136], 167s [148, 134, 149], 167s [119, 134, 133], 167s [134, 148, 133], 167s [134, 119, 120], 167s [134, 135, 149], 167s [135, 134, 120], 167s [ 50, 62, 61], 167s [ 40, 50, 39], 167s [ 49, 50, 61], 167s [ 50, 49, 39], 167s [ 51, 50, 40], 167s [ 50, 51, 62], 167s [ 42, 52, 41], 167s [ 52, 42, 53], 167s [ 64, 52, 53], 167s [ 52, 64, 63], 167s [ 51, 52, 63], 167s [ 52, 51, 41], 167s [101, 87, 88], 167s [158, 145, 159], 167s [145, 146, 159], 167s [146, 145, 131], 167s [145, 158, 144], 167s [130, 145, 144], 167s [145, 130, 131], 167s [141, 142, 156], 167s [127, 142, 141], 167s [151, 150, 136], 167s [150, 151, 164], 167s [151, 165, 164], 167s [137, 151, 136], 167s [137, 123, 138], 167s [123, 122, 108], 167s [123, 124, 138], 167s [123, 137, 122], 167s [123, 109, 124], 167s [109, 123, 108], 167s [ 97, 110, 96], 167s [110, 97, 111], 167s [110, 109, 96], 167s [109, 110, 124], 167s [100, 114, 113], 167s [100, 113, 99], 167s [ 86, 100, 99], 167s [ 87, 100, 86], 167s [101, 100, 87], 167s [100, 101, 114], 167s [114, 128, 113], 167s [128, 127, 113], 167s [128, 142, 127], 167s [166, 152, 153], 167s [152, 138, 153], 167s [165, 152, 166], 167s [152, 137, 138], 167s [152, 151, 137], 167s [151, 152, 165], 167s [139, 125, 140], 167s [125, 126, 140], 167s [126, 125, 111], 167s [125, 139, 124], 167s [110, 125, 124], 167s [125, 110, 111]])), which will be an error in a future version of pytest. Did you mean to use `assert` instead of `return`? 167s warnings.warn( 167s 167s tests/test_intersection.py::test_intersection 167s /usr/lib/python3/dist-packages/_pytest/python.py:163: PytestReturnNotNoneWarning: Expected None, but tests/test_intersection.py::test_intersection returned (array([[-8.66025404e-01, 2.65233391e-11], 167s [ 8.66025404e-01, -3.89355215e-13], 167s [-3.41037467e-01, -4.40049704e-01], 167s [-2.47581068e-01, -4.68867181e-01], 167s [-1.50840170e-01, -4.88558164e-01], 167s [-5.06918020e-02, -4.98714344e-01], 167s [ 5.06918020e-02, -4.98714344e-01], 167s [ 1.50840170e-01, -4.88558164e-01], 167s [ 2.47581068e-01, -4.68867181e-01], 167s [ 3.41037468e-01, -4.40049704e-01], 167s [-5.12175008e-01, -3.58881110e-01], 167s [-4.28144181e-01, -4.03710440e-01], 167s [-3.06078762e-01, -3.63067193e-01], 167s [-2.01728063e-01, -3.80246927e-01], 167s [-1.00827049e-01, -3.93840905e-01], 167s [ 9.38384787e-13, -3.98608052e-01], 167s [ 1.00827049e-01, -3.93840905e-01], 167s [ 2.01728063e-01, -3.80246927e-01], 167s [ 3.06078762e-01, -3.63067193e-01], 167s [ 4.28144182e-01, -4.03710440e-01], 167s [ 5.12175009e-01, -3.58881110e-01], 167s [-6.66149883e-01, -2.45817896e-01], 167s [-5.92926034e-01, -3.05256927e-01], 167s [-4.71061171e-01, -2.83926785e-01], 167s [-3.74361901e-01, -2.96755755e-01], 167s [-2.57706807e-01, -2.79350034e-01], 167s [-1.52437580e-01, -2.89122822e-01], 167s [-5.07001877e-02, -2.96764714e-01], 167s [ 5.07001877e-02, -2.96764714e-01], 167s [ 1.52437580e-01, -2.89122822e-01], 167s [ 2.57706807e-01, -2.79350034e-01], 167s [ 3.74361901e-01, -2.96755755e-01], 167s [ 4.71061171e-01, -2.83926785e-01], 167s [ 5.92926034e-01, -3.05256927e-01], 167s [ 6.66149883e-01, -2.45817896e-01], 167s [-7.39051734e-01, -1.73648673e-01], 167s [-6.21959174e-01, -1.72149984e-01], 167s [-5.31569010e-01, -2.04564925e-01], 167s [-4.20053489e-01, -1.93122179e-01], 167s [-3.17713555e-01, -1.95910137e-01], 167s [-2.06851128e-01, -1.89503807e-01], 167s [-1.02332825e-01, -1.94787469e-01], 167s [-5.84348472e-12, -1.98016180e-01], 167s [ 1.02332825e-01, -1.94787469e-01], 167s [ 2.06851128e-01, -1.89503807e-01], 167s [ 3.17713555e-01, -1.95910137e-01], 167s [ 4.20053489e-01, -1.93122179e-01], 167s [ 5.31569009e-01, -2.04564925e-01], 167s [ 6.21959174e-01, -1.72149984e-01], 167s [ 7.39051734e-01, -1.73648673e-01], 167s [-8.04398549e-01, -9.40900384e-02], 167s [-6.86675433e-01, -9.06401161e-02], 167s [-5.70209981e-01, -9.27148659e-02], 167s [-4.70973888e-01, -1.03625677e-01], 167s [-3.65649805e-01, -9.66829660e-02], 167s [-2.61747294e-01, -9.81832295e-02], 167s [-1.55068296e-01, -9.55870494e-02], 167s [-5.11821048e-02, -9.84320633e-02], 167s [ 5.11821048e-02, -9.84320633e-02], 167s [ 1.55068296e-01, -9.55870494e-02], 167s [ 2.61747294e-01, -9.81832295e-02], 167s [ 3.65649805e-01, -9.66829660e-02], 167s [ 4.70973888e-01, -1.03625677e-01], 167s [ 5.70209981e-01, -9.27148659e-02], 167s [ 6.86675432e-01, -9.06401164e-02], 167s [ 8.04398549e-01, -9.40900384e-02], 167s [-7.69820294e-01, 2.88365734e-11], 167s [-6.85090033e-01, 6.92383428e-10], 167s [-6.01313562e-01, -1.56538013e-10], 167s [-5.03733057e-01, 7.31523453e-12], 167s [-4.11268594e-01, -3.34568089e-11], 167s [-3.09342218e-01, -1.88920435e-11], 167s [-2.07343381e-01, -1.16008259e-11], 167s [-1.02392704e-01, -5.13175336e-12], 167s [ 5.94750638e-13, -2.26814956e-12], 167s [ 1.02392704e-01, -1.27247934e-12], 167s [ 2.07343381e-01, -9.08223496e-13], 167s [ 3.09342218e-01, -3.83819365e-13], 167s [ 4.11268594e-01, 1.36424899e-13], 167s [ 5.03733057e-01, -2.58831845e-13], 167s [ 6.01313562e-01, 2.18099566e-12], 167s [ 6.85090033e-01, -1.02647647e-11], 167s [ 7.69820294e-01, -5.22386301e-13], 167s [-8.04398549e-01, 9.40900384e-02], 167s [-6.86675432e-01, 9.06401167e-02], 167s [-5.70209981e-01, 9.27148658e-02], 167s [-4.70973888e-01, 1.03625677e-01], 167s [-3.65649805e-01, 9.66829660e-02], 167s [-2.61747294e-01, 9.81832295e-02], 167s [-1.55068296e-01, 9.55870494e-02], 167s [-5.11821048e-02, 9.84320633e-02], 167s [ 5.11821048e-02, 9.84320633e-02], 167s [ 1.55068296e-01, 9.55870494e-02], 167s [ 2.61747294e-01, 9.81832295e-02], 167s [ 3.65649805e-01, 9.66829660e-02], 167s [ 4.70973888e-01, 1.03625677e-01], 167s [ 5.70209981e-01, 9.27148659e-02], 167s [ 6.86675432e-01, 9.06401164e-02], 167s [ 8.04398549e-01, 9.40900384e-02], 167s [-7.39051734e-01, 1.73648673e-01], 167s [-6.21959174e-01, 1.72149985e-01], 167s [-5.31569009e-01, 2.04564925e-01], 167s [-4.20053489e-01, 1.93122179e-01], 167s [-3.17713555e-01, 1.95910137e-01], 167s [-2.06851128e-01, 1.89503806e-01], 167s [-1.02332825e-01, 1.94787469e-01], 167s [ 6.63773550e-12, 1.98016180e-01], 167s [ 1.02332825e-01, 1.94787469e-01], 167s [ 2.06851128e-01, 1.89503806e-01], 167s [ 3.17713555e-01, 1.95910137e-01], 167s [ 4.20053489e-01, 1.93122179e-01], 167s [ 5.31569009e-01, 2.04564925e-01], 167s [ 6.21959174e-01, 1.72149984e-01], 167s [ 7.39051734e-01, 1.73648673e-01], 167s [-6.66149883e-01, 2.45817895e-01], 167s [-5.92926034e-01, 3.05256927e-01], 167s [-4.71061171e-01, 2.83926785e-01], 167s [-3.74361901e-01, 2.96755755e-01], 167s [-2.57706807e-01, 2.79350034e-01], 167s [-1.52437580e-01, 2.89122822e-01], 167s [-5.07001877e-02, 2.96764714e-01], 167s [ 5.07001877e-02, 2.96764714e-01], 167s [ 1.52437580e-01, 2.89122822e-01], 167s [ 2.57706807e-01, 2.79350034e-01], 167s [ 3.74361901e-01, 2.96755755e-01], 167s [ 4.71061171e-01, 2.83926785e-01], 167s [ 5.92926034e-01, 3.05256927e-01], 167s [ 6.66149883e-01, 2.45817896e-01], 167s [-5.12175009e-01, 3.58881110e-01], 167s [-4.28144182e-01, 4.03710440e-01], 167s [-3.06078762e-01, 3.63067193e-01], 167s [-2.01728063e-01, 3.80246927e-01], 167s [-1.00827049e-01, 3.93840905e-01], 167s [-3.42649520e-13, 3.98608052e-01], 167s [ 1.00827049e-01, 3.93840905e-01], 167s [ 2.01728063e-01, 3.80246927e-01], 167s [ 3.06078762e-01, 3.63067193e-01], 167s [ 4.28144182e-01, 4.03710440e-01], 167s [ 5.12175009e-01, 3.58881110e-01], 167s [-3.41037468e-01, 4.40049704e-01], 167s [-2.47581068e-01, 4.68867181e-01], 167s [-1.50840170e-01, 4.88558164e-01], 167s [-5.06918020e-02, 4.98714344e-01], 167s [ 5.06918020e-02, 4.98714344e-01], 167s [ 1.50840170e-01, 4.88558164e-01], 167s [ 2.47581068e-01, 4.68867181e-01], 167s [ 3.41037467e-01, 4.40049704e-01]]), array([[ 50, 66, 0], 167s [ 10, 11, 23], 167s [136, 146, 145], 167s [128, 115, 116], 167s [130, 140, 139], 167s [129, 128, 116], 167s [129, 130, 139], 167s [136, 137, 146], 167s [ 56, 73, 72], 167s [ 54, 38, 39], 167s [ 26, 27, 41], 167s [ 24, 38, 23], 167s [ 11, 24, 23], 167s [ 38, 24, 39], 167s [100, 115, 114], 167s [ 69, 86, 85], 167s [ 68, 69, 85], 167s [ 86, 69, 70], 167s [131, 140, 130], 167s [124, 137, 136], 167s [ 64, 82, 81], 167s [ 82, 65, 1], 167s [ 27, 42, 41], 167s [ 93, 94, 109], 167s [ 49, 48, 34], 167s [ 48, 33, 34], 167s [ 32, 19, 20], 167s [ 33, 32, 20], 167s [ 55, 56, 72], 167s [ 55, 54, 39], 167s [ 3, 4, 13], 167s [ 3, 12, 2], 167s [ 12, 11, 2], 167s [ 12, 3, 13], 167s [ 12, 24, 11], 167s [ 87, 102, 86], 167s [ 87, 86, 70], 167s [ 66, 83, 0], 167s [ 86, 101, 85], 167s [115, 101, 116], 167s [101, 102, 116], 167s [102, 101, 86], 167s [100, 101, 115], 167s [101, 100, 85], 167s [ 36, 35, 21], 167s [131, 141, 140], 167s [108, 93, 109], 167s [135, 136, 145], 167s [ 90, 73, 74], 167s [ 91, 90, 74], 167s [ 58, 75, 74], 167s [ 75, 91, 74], 167s [ 57, 58, 74], 167s [ 57, 56, 41], 167s [ 73, 57, 74], 167s [ 56, 57, 73], 167s [ 57, 42, 58], 167s [ 42, 57, 41], 167s [ 6, 7, 16], 167s [ 6, 15, 5], 167s [ 15, 6, 16], 167s [ 42, 43, 58], 167s [ 61, 62, 78], 167s [ 62, 61, 46], 167s [ 80, 79, 63], 167s [ 79, 80, 96], 167s [ 62, 79, 78], 167s [ 79, 62, 63], 167s [ 64, 49, 65], 167s [ 64, 80, 63], 167s [ 64, 65, 82], 167s [ 80, 64, 81], 167s [ 64, 48, 49], 167s [ 48, 64, 63], 167s [ 47, 62, 46], 167s [ 47, 48, 63], 167s [ 62, 47, 63], 167s [ 48, 47, 33], 167s [ 47, 32, 33], 167s [ 32, 47, 46], 167s [ 56, 40, 41], 167s [ 40, 26, 41], 167s [ 55, 40, 56], 167s [ 40, 55, 39], 167s [ 14, 26, 13], 167s [ 15, 14, 5], 167s [ 26, 14, 27], 167s [ 14, 15, 27], 167s [ 4, 14, 13], 167s [ 14, 4, 5], 167s [ 73, 89, 72], 167s [ 90, 89, 73], 167s [ 89, 90, 105], 167s [ 54, 71, 70], 167s [ 71, 55, 72], 167s [ 55, 71, 54], 167s [ 71, 87, 70], 167s [ 99, 100, 114], 167s [ 51, 66, 50], 167s [ 66, 67, 84], 167s [ 52, 69, 68], 167s [ 22, 10, 23], 167s [ 22, 36, 21], 167s [133, 120, 121], 167s [107, 122, 121], 167s [107, 108, 122], 167s [123, 108, 109], 167s [124, 123, 109], 167s [123, 124, 136], 167s [108, 123, 122], 167s [123, 135, 122], 167s [135, 123, 136], 167s [110, 124, 109], 167s [ 94, 110, 109], 167s [ 98, 82, 1], 167s [ 82, 98, 97], 167s [112, 111, 96], 167s [112, 113, 127], 167s [ 75, 59, 76], 167s [ 59, 75, 58], 167s [ 59, 43, 44], 167s [ 43, 59, 58], 167s [ 28, 15, 16], 167s [ 28, 42, 27], 167s [ 15, 28, 27], 167s [ 28, 43, 42], 167s [ 77, 94, 93], 167s [ 77, 93, 76], 167s [ 94, 77, 78], 167s [ 77, 61, 78], 167s [ 31, 32, 46], 167s [ 32, 31, 19], 167s [ 25, 12, 13], 167s [ 26, 25, 13], 167s [ 24, 25, 39], 167s [ 12, 25, 24], 167s [ 40, 25, 26], 167s [ 25, 40, 39], 167s [104, 89, 105], 167s [100, 84, 85], 167s [ 99, 84, 100], 167s [ 84, 68, 85], 167s [ 84, 99, 83], 167s [ 66, 84, 83], 167s [ 84, 67, 68], 167s [ 69, 53, 70], 167s [ 53, 54, 70], 167s [ 54, 53, 38], 167s [ 52, 53, 69], 167s [ 36, 51, 35], 167s [ 35, 51, 50], 167s [ 51, 67, 66], 167s [ 67, 51, 68], 167s [ 51, 52, 68], 167s [ 52, 51, 36], 167s [141, 132, 142], 167s [132, 141, 131], 167s [133, 132, 120], 167s [132, 133, 142], 167s [144, 135, 145], 167s [106, 120, 105], 167s [ 90, 106, 105], 167s [120, 106, 121], 167s [106, 90, 91], 167s [107, 106, 91], 167s [106, 107, 121], 167s [108, 92, 93], 167s [ 93, 92, 76], 167s [ 92, 75, 76], 167s [ 75, 92, 91], 167s [107, 92, 108], 167s [ 92, 107, 91], 167s [111, 95, 96], 167s [ 95, 94, 78], 167s [ 95, 79, 96], 167s [ 79, 95, 78], 167s [110, 95, 111], 167s [ 95, 110, 94], 167s [125, 138, 137], 167s [124, 125, 137], 167s [110, 125, 124], 167s [125, 110, 111], 167s [ 97, 80, 81], 167s [ 80, 97, 96], 167s [ 82, 97, 81], 167s [ 97, 98, 113], 167s [112, 97, 113], 167s [ 97, 112, 96], 167s [ 43, 29, 44], 167s [ 29, 30, 44], 167s [ 28, 29, 43], 167s [ 29, 28, 16], 167s [ 59, 60, 76], 167s [ 60, 59, 44], 167s [ 77, 60, 61], 167s [ 60, 77, 76], 167s [ 18, 8, 9], 167s [ 19, 18, 9], 167s [ 18, 31, 30], 167s [ 31, 18, 19], 167s [ 87, 103, 102], 167s [ 37, 52, 36], 167s [ 37, 22, 23], 167s [ 38, 37, 23], 167s [ 22, 37, 36], 167s [ 37, 53, 52], 167s [ 53, 37, 38], 167s [119, 104, 105], 167s [120, 119, 105], 167s [132, 119, 120], 167s [119, 132, 131], 167s [133, 143, 142], 167s [126, 112, 127], 167s [112, 126, 111], 167s [125, 126, 138], 167s [126, 125, 111], 167s [ 30, 45, 44], 167s [ 61, 45, 46], 167s [ 31, 45, 30], 167s [ 45, 31, 46], 167s [ 60, 45, 61], 167s [ 45, 60, 44], 167s [ 8, 17, 7], 167s [ 17, 29, 16], 167s [ 7, 17, 16], 167s [ 29, 17, 30], 167s [ 18, 17, 8], 167s [ 17, 18, 30], 167s [102, 117, 116], 167s [117, 129, 116], 167s [129, 117, 130], 167s [103, 117, 102], 167s [ 88, 71, 72], 167s [ 89, 88, 72], 167s [ 71, 88, 87], 167s [104, 88, 89], 167s [ 88, 103, 87], 167s [103, 88, 104], 167s [122, 134, 121], 167s [135, 134, 122], 167s [134, 133, 121], 167s [144, 134, 135], 167s [134, 143, 133], 167s [143, 134, 144], 167s [118, 103, 104], 167s [118, 119, 131], 167s [118, 131, 130], 167s [119, 118, 104], 167s [118, 117, 103], 167s [117, 118, 130]])), which will be an error in a future version of pytest. Did you mean to use `assert` instead of `return`? 167s warnings.warn( 167s 167s tests/test_intersection.py::test_intersection_circles 167s /usr/lib/python3/dist-packages/_pytest/python.py:163: PytestReturnNotNoneWarning: Expected None, but tests/test_intersection.py::test_intersection_circles returned (array([[-6.27647470e-01, -3.62372436e-01], 167s [ 8.78197515e-12, 7.24744871e-01], 167s [ 6.27647470e-01, -3.62372436e-01], 167s [-4.22655467e-01, -4.39222831e-01], 167s [-3.18127680e-01, -4.65876795e-01], 167s [-2.12755498e-01, -4.84835041e-01], 167s [-1.06636739e-01, -4.96204734e-01], 167s [-1.20928486e-12, -5.00000000e-01], 167s [ 1.06636739e-01, -4.96204734e-01], 167s [ 2.12755498e-01, -4.84835041e-01], 167s [ 3.18127680e-01, -4.65876795e-01], 167s [ 4.22655467e-01, -4.39222831e-01], 167s [-5.31188621e-01, -4.02796724e-01], 167s [-4.52859155e-01, -3.47896206e-01], 167s [-3.51760741e-01, -3.64634314e-01], 167s [-2.52461255e-01, -3.83521036e-01], 167s [-1.52056693e-01, -3.96265259e-01], 167s [-5.08012226e-02, -4.02879850e-01], 167s [ 5.08012226e-02, -4.02879850e-01], 167s [ 1.52056693e-01, -3.96265259e-01], 167s [ 2.52461255e-01, -3.83521036e-01], 167s [ 3.51760741e-01, -3.64634314e-01], 167s [ 4.52859155e-01, -3.47896206e-01], 167s [ 5.31188621e-01, -4.02796724e-01], 167s [-6.12443851e-01, -2.46763622e-01], 167s [-5.35714439e-01, -2.95814577e-01], 167s [-4.16362547e-01, -2.68336712e-01], 167s [-3.06633538e-01, -2.81368878e-01], 167s [-2.03254509e-01, -2.94542283e-01], 167s [-1.01432112e-01, -3.03216423e-01], 167s [-5.20341409e-13, -3.06260633e-01], 167s [ 1.01432112e-01, -3.03216423e-01], 167s [ 2.03254509e-01, -2.94542283e-01], 167s [ 3.06633538e-01, -2.81368878e-01], 167s [ 4.16362547e-01, -2.68336712e-01], 167s [ 5.35714439e-01, -2.95814577e-01], 167s [ 6.12443851e-01, -2.46763622e-01], 167s [-5.91675731e-01, -1.46294752e-01], 167s [-4.92577939e-01, -2.04115904e-01], 167s [-3.68102950e-01, -1.91524846e-01], 167s [-2.57166920e-01, -1.95887705e-01], 167s [-1.52932077e-01, -2.03762645e-01], 167s [-5.08212615e-02, -2.08610306e-01], 167s [ 5.08212615e-02, -2.08610306e-01], 167s [ 1.52932077e-01, -2.03762645e-01], 167s [ 2.57166920e-01, -1.95887705e-01], 167s [ 3.68102950e-01, -1.91524846e-01], 167s [ 4.92577939e-01, -2.04115904e-01], 167s [ 5.91675731e-01, -1.46294752e-01], 167s [-5.02706108e-01, -1.09727673e-01], 167s [-4.11538073e-01, -1.10135150e-01], 167s [-3.06173560e-01, -1.03638947e-01], 167s [-2.02241844e-01, -1.05894883e-01], 167s [-1.00723427e-01, -1.10450713e-01], 167s [-7.35092542e-14, -1.12428510e-01], 167s [ 1.00723427e-01, -1.10450713e-01], 167s [ 2.02241844e-01, -1.05894883e-01], 167s [ 3.06173560e-01, -1.03638947e-01], 167s [ 4.11538073e-01, -1.10135150e-01], 167s [ 5.02706108e-01, -1.09727673e-01], 167s [-5.59556897e-01, -3.34004882e-02], 167s [-4.58319478e-01, -1.21722888e-02], 167s [-3.58873248e-01, -1.31485426e-02], 167s [-2.54850092e-01, -1.09815773e-02], 167s [-1.51622877e-01, -1.27226132e-02], 167s [-5.02975399e-02, -1.51623159e-02], 167s [ 5.02975399e-02, -1.51623159e-02], 167s [ 1.51622877e-01, -1.27226132e-02], 167s [ 2.54850092e-01, -1.09815773e-02], 167s [ 3.58873248e-01, -1.31485426e-02], 167s [ 4.58319478e-01, -1.21722888e-02], 167s [ 5.59556897e-01, -3.34004882e-02], 167s [-5.21266044e-01, 7.04580954e-02], 167s [-4.15596500e-01, 8.17987022e-02], 167s [-3.11131805e-01, 8.10838254e-02], 167s [-2.05118068e-01, 8.17051643e-02], 167s [-1.00827922e-01, 8.17130649e-02], 167s [ 2.92911528e-14, 8.14950811e-02], 167s [ 1.00827922e-01, 8.17130649e-02], 167s [ 2.05118068e-01, 8.17051643e-02], 167s [ 3.11131805e-01, 8.10838254e-02], 167s [ 4.15596500e-01, 8.17987022e-02], 167s [ 5.21266044e-01, 7.04580954e-02], 167s [-4.76293627e-01, 1.69462187e-01], 167s [-3.68646688e-01, 1.73209081e-01], 167s [-2.60274523e-01, 1.72576265e-01], 167s [-1.52352820e-01, 1.74362033e-01], 167s [-4.90407609e-02, 1.79200274e-01], 167s [ 4.90407609e-02, 1.79200274e-01], 167s [ 1.52352820e-01, 1.74362033e-01], 167s [ 2.60274523e-01, 1.72576265e-01], 167s [ 3.68646688e-01, 1.73209081e-01], 167s [ 4.76293627e-01, 1.69462187e-01], 167s [-4.24701037e-01, 2.64215450e-01], 167s [-3.16322732e-01, 2.61362452e-01], 167s [-2.04703581e-01, 2.62372109e-01], 167s [-9.80138368e-02, 2.71097907e-01], 167s [ 1.34238176e-12, 2.83005689e-01], 167s [ 9.80138368e-02, 2.71097907e-01], 167s [ 2.04703581e-01, 2.62372109e-01], 167s [ 3.16322732e-01, 2.61362452e-01], 167s [ 4.24701037e-01, 2.64215450e-01], 167s [-3.66815699e-01, 3.54460540e-01], 167s [-2.59289431e-01, 3.45876532e-01], 167s [-1.48263004e-01, 3.56286523e-01], 167s [-5.26689202e-02, 3.80534265e-01], 167s [ 5.26689202e-02, 3.80534265e-01], 167s [ 1.48263004e-01, 3.56286523e-01], 167s [ 2.59289431e-01, 3.45876532e-01], 167s [ 3.66815699e-01, 3.54460540e-01], 167s [-3.02871897e-01, 4.40042073e-01], 167s [-2.03352705e-01, 4.33088928e-01], 167s [-1.18287987e-01, 4.72490705e-01], 167s [ 1.76515504e-12, 4.73541256e-01], 167s [ 1.18287987e-01, 4.72490705e-01], 167s [ 2.03352705e-01, 4.33088928e-01], 167s [ 3.02871897e-01, 4.40042073e-01], 167s [-2.29820986e-01, 5.24265928e-01], 167s [-6.89308623e-02, 5.49518994e-01], 167s [ 6.89308623e-02, 5.49518994e-01], 167s [ 2.29820986e-01, 5.24265928e-01], 167s [-1.62502320e-01, 5.91847390e-01], 167s [ 3.12653149e-13, 6.11618081e-01], 167s [ 1.62502320e-01, 5.91847390e-01], 167s [-8.42286083e-02, 6.60610750e-01], 167s [ 8.42286083e-02, 6.60610750e-01]]), array([[ 25, 0, 12], 167s [ 61, 72, 60], 167s [ 72, 61, 73], 167s [ 78, 77, 66], 167s [ 88, 78, 89], 167s [ 78, 88, 77], 167s [122, 1, 124], 167s [111, 117, 110], 167s [114, 123, 119], 167s [ 43, 30, 31], 167s [ 22, 21, 11], 167s [ 45, 32, 33], 167s [ 83, 72, 73], 167s [ 61, 62, 73], 167s [ 94, 102, 93], 167s [ 94, 85, 95], 167s [ 88, 87, 77], 167s [ 87, 76, 77], 167s [121, 117, 112], 167s [ 67, 78, 66], 167s [109, 116, 108], 167s [ 99, 100, 108], 167s [109, 100, 101], 167s [100, 109, 108], 167s [ 46, 45, 33], 167s [ 21, 10, 11], 167s [ 44, 45, 56], 167s [ 44, 43, 31], 167s [ 44, 32, 45], 167s [ 32, 44, 31], 167s [ 8, 18, 7], 167s [ 30, 18, 31], 167s [ 47, 36, 48], 167s [ 23, 35, 22], 167s [ 23, 22, 11], 167s [ 2, 36, 35], 167s [ 2, 35, 23], 167s [ 50, 62, 61], 167s [ 13, 12, 3], 167s [ 83, 84, 93], 167s [ 84, 94, 93], 167s [ 84, 83, 73], 167s [ 84, 85, 94], 167s [119, 125, 122], 167s [122, 125, 1], 167s [119, 123, 125], 167s [124, 121, 118], 167s [124, 118, 122], 167s [122, 118, 113], 167s [103, 94, 95], 167s [103, 111, 110], 167s [102, 103, 110], 167s [103, 102, 94], 167s [103, 104, 111], 167s [104, 103, 95], 167s [111, 112, 117], 167s [121, 112, 118], 167s [112, 104, 105], 167s [104, 112, 111], 167s [104, 96, 105], 167s [ 96, 104, 95], 167s [115, 116, 120], 167s [116, 115, 108], 167s [ 99, 98, 89], 167s [ 98, 88, 89], 167s [ 59, 48, 71], 167s [ 21, 34, 33], 167s [ 35, 34, 22], 167s [ 34, 21, 22], 167s [ 34, 46, 33], 167s [ 32, 20, 33], 167s [ 20, 21, 33], 167s [ 20, 10, 21], 167s [ 10, 20, 9], 167s [ 17, 30, 29], 167s [ 17, 6, 7], 167s [ 17, 18, 30], 167s [ 18, 17, 7], 167s [ 53, 52, 41], 167s [ 37, 49, 60], 167s [ 49, 61, 60], 167s [ 49, 37, 38], 167s [ 50, 49, 38], 167s [ 49, 50, 61], 167s [ 14, 13, 3], 167s [ 38, 37, 24], 167s [ 25, 24, 0], 167s [ 38, 24, 25], 167s [ 13, 25, 12], 167s [ 74, 62, 63], 167s [ 75, 74, 63], 167s [ 62, 74, 73], 167s [ 74, 75, 85], 167s [ 84, 74, 85], 167s [ 74, 84, 73], 167s [ 76, 65, 77], 167s [ 77, 65, 66], 167s [ 54, 65, 53], 167s [ 65, 54, 66], 167s [ 30, 42, 29], 167s [ 42, 41, 29], 167s [ 43, 42, 30], 167s [ 42, 53, 41], 167s [ 54, 42, 43], 167s [ 42, 54, 53], 167s [ 55, 67, 66], 167s [ 67, 55, 56], 167s [ 55, 44, 56], 167s [ 44, 55, 43], 167s [ 55, 54, 43], 167s [ 54, 55, 66], 167s [122, 113, 119], 167s [106, 113, 105], 167s [112, 113, 118], 167s [113, 112, 105], 167s [ 75, 86, 85], 167s [ 85, 86, 95], 167s [ 87, 86, 76], 167s [ 86, 75, 76], 167s [ 96, 86, 87], 167s [ 86, 96, 95], 167s [ 68, 67, 56], 167s [ 91, 92, 101], 167s [100, 91, 101], 167s [ 97, 106, 105], 167s [ 97, 87, 88], 167s [ 97, 96, 87], 167s [ 96, 97, 105], 167s [ 97, 98, 106], 167s [ 98, 97, 88], 167s [115, 107, 108], 167s [107, 99, 108], 167s [107, 98, 99], 167s [ 98, 107, 106], 167s [ 82, 70, 71], 167s [ 70, 59, 71], 167s [ 59, 47, 48], 167s [ 47, 35, 36], 167s [ 34, 47, 46], 167s [ 47, 34, 35], 167s [ 18, 19, 31], 167s [ 19, 32, 31], 167s [ 19, 8, 9], 167s [ 19, 18, 8], 167s [ 19, 20, 32], 167s [ 20, 19, 9], 167s [ 62, 51, 63], 167s [ 50, 51, 62], 167s [ 51, 52, 63], 167s [ 4, 14, 3], 167s [ 15, 4, 5], 167s [ 4, 15, 14], 167s [ 14, 26, 13], 167s [ 26, 25, 13], 167s [ 25, 26, 38], 167s [ 52, 64, 63], 167s [ 75, 64, 76], 167s [ 64, 75, 63], 167s [ 64, 52, 53], 167s [ 65, 64, 53], 167s [ 64, 65, 76], 167s [ 67, 79, 78], 167s [ 78, 79, 89], 167s [ 79, 68, 80], 167s [ 68, 79, 67], 167s [ 46, 57, 45], 167s [ 45, 57, 56], 167s [ 57, 68, 56], 167s [114, 115, 120], 167s [114, 120, 123], 167s [113, 114, 119], 167s [114, 113, 106], 167s [114, 107, 115], 167s [107, 114, 106], 167s [ 92, 81, 82], 167s [ 81, 91, 80], 167s [ 91, 81, 92], 167s [ 81, 70, 82], 167s [ 41, 28, 29], 167s [ 90, 99, 89], 167s [ 90, 91, 100], 167s [ 90, 100, 99], 167s [ 91, 90, 80], 167s [ 90, 79, 80], 167s [ 79, 90, 89], 167s [ 70, 58, 59], 167s [ 47, 58, 46], 167s [ 58, 47, 59], 167s [ 58, 57, 46], 167s [ 51, 40, 52], 167s [ 52, 40, 41], 167s [ 40, 28, 41], 167s [ 6, 16, 5], 167s [ 16, 17, 29], 167s [ 17, 16, 6], 167s [ 16, 15, 5], 167s [ 16, 28, 15], 167s [ 28, 16, 29], 167s [ 57, 69, 68], 167s [ 69, 81, 80], 167s [ 68, 69, 80], 167s [ 81, 69, 70], 167s [ 58, 69, 57], 167s [ 69, 58, 70], 167s [ 39, 51, 50], 167s [ 39, 50, 38], 167s [ 26, 39, 38], 167s [ 39, 40, 51], 167s [ 28, 27, 15], 167s [ 15, 27, 14], 167s [ 27, 26, 14], 167s [ 40, 27, 28], 167s [ 39, 27, 40], 167s [ 27, 39, 26]])), which will be an error in a future version of pytest. Did you mean to use `assert` instead of `return`? 167s warnings.warn( 167s 167s tests/test_pacman.py::test_pacman 167s /usr/lib/python3/dist-packages/_pytest/python.py:163: PytestReturnNotNoneWarning: Expected None, but tests/test_pacman.py::test_pacman returned (array([[ 0.00000000e+00, 0.00000000e+00], 167s [ 9.66234940e-01, -2.57662651e-01], 167s [ 9.66234940e-01, 2.57662651e-01], 167s [-2.41950470e-01, -9.70288601e-01], 167s [-1.43665130e-01, -9.89626359e-01], 167s [-4.13236484e-02, -9.99145813e-01], 167s [ 6.45165693e-02, -9.97916636e-01], 167s [ 1.71802141e-01, -9.85131476e-01], 167s [ 2.79360148e-01, -9.60186392e-01], 167s [-4.98286476e-01, -8.67012449e-01], 167s [-4.14838238e-01, -9.09895179e-01], 167s [-3.25689094e-01, -9.38073449e-01], 167s [-2.05214997e-01, -8.92079104e-01], 167s [-9.87203605e-02, -9.00914643e-01], 167s [ 4.29529242e-03, -9.05336575e-01], 167s [ 1.06301568e-01, -9.00261579e-01], 167s [ 2.07450161e-01, -8.86306069e-01], 167s [ 3.12180145e-01, -8.70287996e-01], 167s [ 3.90636917e-01, -9.20544838e-01], 167s [ 4.82346334e-01, -8.75980602e-01], 167s [-5.77245801e-01, -8.16570441e-01], 167s [-4.56151611e-01, -7.93583034e-01], 167s [-3.61111129e-01, -8.22975610e-01], 167s [-2.67274972e-01, -8.25169773e-01], 167s [-1.53039681e-01, -8.06807824e-01], 167s [-4.72510968e-02, -8.09780825e-01], 167s [ 5.58567804e-02, -8.08887744e-01], 167s [ 1.59190557e-01, -8.00540330e-01], 167s [ 2.66697116e-01, -7.91158826e-01], 167s [ 3.85587737e-01, -8.04814907e-01], 167s [ 4.83603473e-01, -7.81615379e-01], 167s [ 5.78989649e-01, -8.15334892e-01], 167s [-7.16158893e-01, -6.97937276e-01], 167s [-6.50880220e-01, -7.59180439e-01], 167s [-5.30257407e-01, -7.27094371e-01], 167s [-4.11008245e-01, -7.14692396e-01], 167s [-3.10298279e-01, -7.25085086e-01], 167s [-2.08843842e-01, -7.24817196e-01], 167s [-9.97987861e-02, -7.16705169e-01], 167s [ 4.83319231e-03, -7.16107016e-01], 167s [ 1.08253247e-01, -7.12272347e-01], 167s [ 2.14414397e-01, -7.06743568e-01], 167s [ 3.26118184e-01, -7.11262895e-01], 167s [ 4.28615502e-01, -7.01312288e-01], 167s [ 5.46439065e-01, -7.06487373e-01], 167s [ 6.51676013e-01, -7.45677430e-01], 167s [ 7.23890143e-01, -6.89915256e-01], 167s [-7.81326971e-01, -6.24121915e-01], 167s [-6.66953721e-01, -6.27152554e-01], 167s [-5.79189266e-01, -6.48470452e-01], 167s [-4.70567968e-01, -6.34055897e-01], 167s [-3.59593192e-01, -6.26556301e-01], 167s [-2.56134502e-01, -6.30089024e-01], 167s [-1.52421008e-01, -6.29003152e-01], 167s [-4.62227260e-02, -6.24097870e-01], 167s [ 5.78627349e-02, -6.21376980e-01], 167s [ 1.62382541e-01, -6.18592924e-01], 167s [ 2.70054275e-01, -6.18655945e-01], 167s [ 3.73625414e-01, -6.13054023e-01], 167s [ 4.83853975e-01, -6.16206800e-01], 167s [ 5.95032024e-01, -6.25001406e-01], 167s [ 6.84625293e-01, -6.05127522e-01], 167s [ 7.92271601e-01, -6.10168592e-01], 167s [-8.39494871e-01, -5.43367611e-01], 167s [-7.27560183e-01, -5.39574813e-01], 167s [-6.19273120e-01, -5.39850505e-01], 167s [-5.20688860e-01, -5.47293044e-01], 167s [-4.14232773e-01, -5.39999513e-01], 167s [-3.06419683e-01, -5.35848528e-01], 167s [-2.02009352e-01, -5.36681906e-01], 167s [-9.74679904e-02, -5.34650198e-01], 167s [ 7.61206983e-03, -5.30362722e-01], 167s [ 1.11754656e-01, -5.27451844e-01], 167s [ 2.16080122e-01, -5.27271422e-01], 167s [ 3.20470972e-01, -5.22052588e-01], 167s [ 4.27879384e-01, -5.23358628e-01], 167s [ 5.35810583e-01, -5.28348793e-01], 167s [ 6.38016700e-01, -5.13757974e-01], 167s [ 7.44184706e-01, -5.13677007e-01], 167s [ 8.51102279e-01, -5.24999915e-01], 167s [-8.89814150e-01, -4.56323108e-01], 167s [-7.83092763e-01, -4.52638018e-01], 167s [-6.74931766e-01, -4.49934671e-01], 167s [-5.67906432e-01, -4.49185518e-01], 167s [-4.65012780e-01, -4.51039618e-01], 167s [-3.58955196e-01, -4.47021474e-01], 167s [-2.52584397e-01, -4.44361457e-01], 167s [-1.47989640e-01, -4.44058781e-01], 167s [-4.28445433e-02, -4.40843636e-01], 167s [ 6.16926822e-02, -4.36313680e-01], 167s [ 1.64247450e-01, -4.33172636e-01], 167s [ 2.64637693e-01, -4.32209789e-01], 167s [ 3.73292510e-01, -4.30397460e-01], 167s [ 4.78618303e-01, -4.32037308e-01], 167s [ 5.79128884e-01, -4.28915333e-01], 167s [ 6.92973087e-01, -4.16453822e-01], 167s [ 7.95938076e-01, -4.20701200e-01], 167s [ 8.99583816e-01, -4.36748162e-01], 167s [-9.30730041e-01, -3.65706974e-01], 167s [-8.30736923e-01, -3.61169388e-01], 167s [-7.26765016e-01, -3.60395052e-01], 167s [-6.20622338e-01, -3.58917415e-01], 167s [-5.14303843e-01, -3.57776523e-01], 167s [-4.09546707e-01, -3.57510390e-01], 167s [-3.03643583e-01, -3.54715293e-01], 167s [-1.97988195e-01, -3.52582654e-01], 167s [-9.35003509e-02, -3.52137054e-01], 167s [ 1.24606408e-02, -3.47076480e-01], 167s [ 1.14882521e-01, -3.39854134e-01], 167s [ 2.11104506e-01, -3.33966857e-01], 167s [ 3.13751878e-01, -3.44524736e-01], 167s [ 4.24840762e-01, -3.36835189e-01], 167s [ 5.18506376e-01, -3.30537197e-01], 167s [ 6.23348473e-01, -3.42328501e-01], 167s [ 7.40113706e-01, -3.13361793e-01], 167s [ 8.39295982e-01, -3.28072896e-01], 167s [ 9.37549204e-01, -3.47852685e-01], 167s [-9.62159754e-01, -2.72485977e-01], 167s [-8.76437728e-01, -2.65094802e-01], 167s [-7.77105516e-01, -2.67308371e-01], 167s [-6.72800082e-01, -2.68281591e-01], 167s [-5.66507958e-01, -2.67809506e-01], 167s [-4.59841278e-01, -2.66632865e-01], 167s [-3.53788314e-01, -2.65413474e-01], 167s [-2.47416143e-01, -2.62909876e-01], 167s [-1.41628162e-01, -2.60947488e-01], 167s [-3.72251897e-02, -2.61390213e-01], 167s [ 6.94804388e-02, -2.50831436e-01], 167s [ 1.59993172e-01, -2.32398371e-01], 167s [ 2.61853669e-01, -2.45760546e-01], 167s [ 3.64462516e-01, -2.60494288e-01], 167s [ 4.51221801e-01, -2.22187554e-01], 167s [ 5.50718118e-01, -2.43478130e-01], 167s [ 6.53931205e-01, -2.60241451e-01], 167s [ 7.10012045e-01, -1.89336545e-01], 167s [ 7.96531679e-01, -2.12408448e-01], 167s [ 8.82647789e-01, -2.35372744e-01], 167s [-9.82731981e-01, -1.85034737e-01], 167s [-8.51815971e-01, -1.78641804e-01], 167s [-7.34618952e-01, -1.78508901e-01], 167s [-6.22993368e-01, -1.78740365e-01], 167s [-5.13670813e-01, -1.77913295e-01], 167s [-4.05184982e-01, -1.76488924e-01], 167s [-2.97022063e-01, -1.74795755e-01], 167s [-1.88416851e-01, -1.72433367e-01], 167s [-8.00061164e-02, -1.70870634e-01], 167s [ 2.55762948e-02, -1.73042185e-01], 167s [ 1.13642751e-01, -1.31120470e-01], 167s [ 2.23373387e-01, -1.49777260e-01], 167s [ 3.37945820e-01, -1.71131722e-01], 167s [ 4.12694244e-01, -1.10051799e-01], 167s [ 5.10918856e-01, -1.36245028e-01], 167s [ 6.09065701e-01, -1.62417520e-01], 167s [-9.95654293e-01, -9.31264138e-02], 167s [-8.95615613e-01, -9.77662843e-02], 167s [-7.84912444e-01, -9.19694338e-02], 167s [-6.74997608e-01, -9.05508698e-02], 167s [-5.66275779e-01, -8.97311392e-02], 167s [-4.57696600e-01, -8.88236464e-02], 167s [-3.48370905e-01, -8.78471456e-02], 167s [-2.37395186e-01, -8.70006400e-02], 167s [-1.23123471e-01, -8.67725269e-02], 167s [-4.24549396e-03, -8.87328439e-02], 167s [ 9.68065084e-02, -2.58150689e-02], 167s [ 1.96136188e-01, -5.23029835e-02], 167s [ 3.01790318e-01, -8.04774182e-02], 167s [-1.00000000e+00, -1.51816041e-06], 167s [-9.15110939e-01, -1.65269746e-06], 167s [-8.25067732e-01, -1.55682481e-06], 167s [-7.23220233e-01, -2.18355185e-06], 167s [-6.17885814e-01, -3.00209662e-06], 167s [-5.11313252e-01, -3.75221679e-06], 167s [-4.03954461e-01, -4.05699818e-06], 167s [-2.96136792e-01, -3.48843057e-06], 167s [-1.88948378e-01, -2.34185089e-06], 167s [-8.62467674e-02, -5.41831155e-06], 167s [-9.95654600e-01, 9.31231273e-02], 167s [-8.95616908e-01, 9.77627352e-02], 167s [-7.84913869e-01, 9.19655543e-02], 167s [-6.74998630e-01, 9.05454202e-02], 167s [-5.66276359e-01, 8.97239155e-02], 167s [-4.57696306e-01, 8.88148246e-02], 167s [-3.48368431e-01, 8.78374817e-02], 167s [-2.37387397e-01, 8.69906356e-02], 167s [-1.23104225e-01, 8.67588348e-02], 167s [-4.21471089e-03, 8.87171687e-02], 167s [ 9.68372808e-02, 2.58232749e-02], 167s [ 1.96192830e-01, 5.23180879e-02], 167s [ 3.01840869e-01, 8.04908983e-02], 167s [-9.82732590e-01, 1.85031502e-01], 167s [-8.51818632e-01, 1.78637481e-01], 167s [-7.34620903e-01, 1.78503373e-01], 167s [-6.22994675e-01, 1.78733039e-01], 167s [-5.13671049e-01, 1.77903512e-01], 167s [-4.05182498e-01, 1.76475948e-01], 167s [-2.97012906e-01, 1.74778165e-01], 167s [-1.88394114e-01, 1.72407805e-01], 167s [-7.99637343e-02, 1.70840588e-01], 167s [ 2.56418739e-02, 1.73004336e-01], 167s [ 1.13697883e-01, 1.31113315e-01], 167s [ 2.23427592e-01, 1.49814778e-01], 167s [ 3.37937669e-01, 1.71240101e-01], 167s [ 4.12675034e-01, 1.10046676e-01], 167s [ 5.10868664e-01, 1.36231644e-01], 167s [ 6.09026614e-01, 1.62407097e-01], 167s [-9.62160707e-01, 2.72482613e-01], 167s [-8.76439749e-01, 2.65089745e-01], 167s [-7.77107949e-01, 2.67302445e-01], 167s [-6.72803024e-01, 2.68274386e-01], 167s [-5.66511686e-01, 2.67799991e-01], 167s [-4.59845750e-01, 2.66619581e-01], 167s [-3.53792375e-01, 2.65393778e-01], 167s [-2.47418033e-01, 2.62880626e-01], 167s [-1.41628780e-01, 2.60908840e-01], 167s [-3.72283735e-02, 2.61349995e-01], 167s [ 6.94500138e-02, 2.50830666e-01], 167s [ 1.59953845e-01, 2.32403996e-01], 167s [ 2.61773832e-01, 2.45862870e-01], 167s [ 3.64299213e-01, 2.60724833e-01], 167s [ 4.51080360e-01, 2.22240252e-01], 167s [ 5.50575494e-01, 2.43455919e-01], 167s [ 6.53801082e-01, 2.60195937e-01], 167s [ 7.10009014e-01, 1.89335737e-01], 167s [ 7.96544543e-01, 2.12411878e-01], 167s [ 8.82661038e-01, 2.35376277e-01], 167s [-9.30731884e-01, 3.65702284e-01], 167s [-8.30739734e-01, 3.61163438e-01], 167s [-7.26769394e-01, 3.60388339e-01], 167s [-6.20629138e-01, 3.58909478e-01], 167s [-5.14314641e-01, 3.57766263e-01], 167s [-4.09562652e-01, 3.57494711e-01], 167s [-3.03665778e-01, 3.54691416e-01], 167s [-1.98020293e-01, 3.52550880e-01], 167s [-9.35482914e-02, 3.52102211e-01], 167s [ 1.23872266e-02, 3.47077882e-01], 167s [ 1.14784536e-01, 3.39866949e-01], 167s [ 2.10980667e-01, 3.34040584e-01], 167s [ 3.13586245e-01, 3.44729022e-01], 167s [ 4.24723878e-01, 3.36941502e-01], 167s [ 5.18401247e-01, 3.30546073e-01], 167s [ 6.23267654e-01, 3.42283846e-01], 167s [ 7.40049128e-01, 3.13328241e-01], 167s [ 8.39264214e-01, 3.28082221e-01], 167s [ 9.37544943e-01, 3.47864168e-01], 167s [-8.89817592e-01, 4.56316395e-01], 167s [-7.83097272e-01, 4.52631455e-01], 167s [-6.74939154e-01, 4.49928138e-01], 167s [-5.67919142e-01, 4.49179221e-01], 167s [-4.65033066e-01, 4.51030450e-01], 167s [-3.58983803e-01, 4.47005661e-01], 167s [-2.52624737e-01, 4.44340451e-01], 167s [-1.48047130e-01, 4.44036050e-01], 167s [-4.29248316e-02, 4.40837359e-01], 167s [ 6.16017496e-02, 4.36343185e-01], 167s [ 1.64116619e-01, 4.33233242e-01], 167s [ 2.64478501e-01, 4.32362934e-01], 167s [ 3.73177566e-01, 4.30520951e-01], 167s [ 4.78529087e-01, 4.32068079e-01], 167s [ 5.79079492e-01, 4.28878724e-01], 167s [ 6.92941104e-01, 4.16406674e-01], 167s [ 7.95906955e-01, 4.20700552e-01], 167s [ 8.99576953e-01, 4.36762299e-01], 167s [-8.39500789e-01, 5.43358469e-01], 167s [-7.27567173e-01, 5.39567782e-01], 167s [-6.19284738e-01, 5.39846798e-01], 167s [-5.20710198e-01, 5.47290797e-01], 167s [-4.14261174e-01, 5.39990298e-01], 167s [-3.06457198e-01, 5.35835554e-01], 167s [-2.02060733e-01, 5.36669242e-01], 167s [-9.75361074e-02, 5.34644077e-01], 167s [ 7.53548934e-03, 5.30371882e-01], 167s [ 1.11672727e-01, 5.27533368e-01], 167s [ 2.15944750e-01, 5.27393745e-01], 167s [ 3.20344205e-01, 5.22164316e-01], 167s [ 4.27769312e-01, 5.23416156e-01], 167s [ 5.35727260e-01, 5.28288031e-01], 167s [ 6.38003065e-01, 5.13704158e-01], 167s [ 7.44154259e-01, 5.13693474e-01], 167s [ 8.51095108e-01, 5.25011541e-01], 167s [-7.81336401e-01, 6.24110110e-01], 167s [-6.66965907e-01, 6.27145288e-01], 167s [-5.79215786e-01, 6.48475948e-01], 167s [-4.70596787e-01, 6.34050619e-01], 167s [-3.59626445e-01, 6.26546942e-01], 167s [-2.56178695e-01, 6.30082305e-01], 167s [-1.52477531e-01, 6.28999324e-01], 167s [-4.62854499e-02, 6.24095681e-01], 167s [ 5.77970430e-02, 6.21410233e-01], 167s [ 1.62321892e-01, 6.18749279e-01], 167s [ 2.69932733e-01, 6.18776381e-01], 167s [ 3.73481115e-01, 6.13131401e-01], 167s [ 4.83694274e-01, 6.16181513e-01], 167s [ 5.94881283e-01, 6.24875574e-01], 167s [ 6.84535748e-01, 6.05173666e-01], 167s [ 7.92265695e-01, 6.10176261e-01], 167s [-7.16171470e-01, 6.97924369e-01], 167s [-6.50893470e-01, 7.59169079e-01], 167s [-5.30289192e-01, 7.27088215e-01], 167s [-4.11038142e-01, 7.14681708e-01], 167s [-3.10338478e-01, 7.25081244e-01], 167s [-2.08895221e-01, 7.24815313e-01], 167s [-9.98527787e-02, 7.16698085e-01], 167s [ 4.77644911e-03, 7.16111049e-01], 167s [ 1.08201300e-01, 7.12337693e-01], 167s [ 2.14400814e-01, 7.06960686e-01], 167s [ 3.26001898e-01, 7.11379030e-01], 167s [ 4.28455412e-01, 7.01355816e-01], 167s [ 5.46177452e-01, 7.06380130e-01], 167s [ 6.51350285e-01, 7.44927576e-01], 167s [ 7.23925698e-01, 6.89877948e-01], 167s [-5.77263541e-01, 8.16557900e-01], 167s [-4.56176507e-01, 7.93564074e-01], 167s [-3.61147914e-01, 8.22973042e-01], 167s [-2.67328561e-01, 8.25170605e-01], 167s [-1.53092230e-01, 8.06795960e-01], 167s [-4.73031390e-02, 8.09771146e-01], 167s [ 5.58065404e-02, 8.08900817e-01], 167s [ 1.59166147e-01, 8.00618192e-01], 167s [ 2.66764273e-01, 7.91440989e-01], 167s [ 3.85604995e-01, 8.04862017e-01], 167s [ 4.83639811e-01, 7.81609437e-01], 167s [ 5.79228708e-01, 8.15165078e-01], 167s [-4.98312519e-01, 8.66997482e-01], 167s [-4.14877543e-01, 9.09877258e-01], 167s [-3.25753389e-01, 9.38086165e-01], 167s [-2.05280879e-01, 8.92062859e-01], 167s [-9.87958280e-02, 9.00899038e-01], 167s [ 4.20755243e-03, 9.05332529e-01], 167s [ 1.06208779e-01, 9.00282397e-01], 167s [ 2.07385597e-01, 8.86382366e-01], 167s [ 3.12275641e-01, 8.70580136e-01], 167s [ 3.90810554e-01, 9.20471135e-01], 167s [ 4.82559731e-01, 8.75863063e-01], 167s [-2.42020537e-01, 9.70271127e-01], 167s [-1.43756015e-01, 9.89613161e-01], 167s [-4.14372796e-02, 9.99141107e-01], 167s [ 6.43894353e-02, 9.97924847e-01], 167s [ 1.71685208e-01, 9.85151861e-01], 167s [ 2.79303466e-01, 9.60202882e-01]]), array([[115, 116, 136], 167s [136, 116, 1], 167s [115, 136, 135], 167s ..., 167s [ 91, 110, 109], 167s [ 91, 92, 110], 167s [ 92, 91, 74]], shape=(602, 3))), which will be an error in a future version of pytest. Did you mean to use `assert` instead of `return`? 167s warnings.warn( 167s 167s tests/test_polygon.py::test 167s /usr/lib/python3/dist-packages/_pytest/python.py:163: PytestReturnNotNoneWarning: Expected None, but tests/test_polygon.py::test returned (array([[0. , 0. ], 167s [1.1 , 0. ], 167s [1.2 , 0.5 ], 167s [0.7 , 0.6 ], 167s [2. , 1. ], 167s [1. , 2. ], 167s [0.5 , 1.5 ], 167s [0.03055107, 0.09165322], 167s [0.10313691, 0. ], 167s [0.2070677 , 0. ], 167s [0.31453222, 0. ], 167s [0.42426888, 0. ], 167s [0.53259178, 0. ], 167s [0.63774835, 0. ], 167s [0.73767439, 0. ], 167s [0.82928698, 0. ], 167s [0.91667239, 0. ], 167s [1.00643006, 0. ], 167s [0.06104611, 0.18313833], 167s [0.14094864, 0.09782202], 167s [0.25303094, 0.09565738], 167s [0.36850776, 0.09312425], 167s [0.48344155, 0.09448097], 167s [0.59646411, 0.09612335], 167s [0.70886625, 0.09752831], 167s [0.82169704, 0.09765397], 167s [0.93213209, 0.10290698], 167s [1.02982989, 0.0985387 ], 167s [1.12181006, 0.10905028], 167s [0.08992259, 0.26976776], 167s [0.18697922, 0.18835042], 167s [0.30927366, 0.18275447], 167s [0.42730373, 0.18369083], 167s [0.54393091, 0.1880006 ], 167s [0.65802893, 0.19057233], 167s [0.77282998, 0.19097935], 167s [0.89044298, 0.19241241], 167s [1.01748546, 0.19694369], 167s [1.14146905, 0.20734524], 167s [0.18548431, 0.28418635], 167s [0.2784021 , 0.27502151], 167s [0.38203903, 0.2753439 ], 167s [0.4911318 , 0.27692985], 167s [0.60513786, 0.283671 ], 167s [0.71654394, 0.28548119], 167s [0.82811691, 0.28433249], 167s [0.94409613, 0.27939269], 167s [1.06277661, 0.29703486], 167s [1.16224998, 0.31124988], 167s [0.12309294, 0.36927881], 167s [0.22887721, 0.37928605], 167s [0.32967205, 0.37303452], 167s [0.43491276, 0.37165331], 167s [0.54486087, 0.37042764], 167s [0.66222436, 0.38172042], 167s [0.76960689, 0.3834451 ], 167s [0.87902018, 0.3761341 ], 167s [0.98852041, 0.3698331 ], 167s [1.07217565, 0.42118337], 167s [1.1812081 , 0.4060405 ], 167s [0.15462064, 0.46386193], 167s [0.26481394, 0.4727898 ], 167s [0.37068617, 0.46878063], 167s [0.48080849, 0.46463004], 167s [0.59521307, 0.45891609], 167s [0.71885635, 0.48457147], 167s [0.83153842, 0.47556518], 167s [0.94923182, 0.46094294], 167s [1.01310708, 0.53737858], 167s [1.10844367, 0.51831127], 167s [0.18554203, 0.55662609], 167s [0.29724581, 0.56604198], 167s [0.40843487, 0.56005679], 167s [0.52135661, 0.55395532], 167s [0.62660389, 0.54477516], 167s [0.79823086, 0.58035383], 167s [0.90376158, 0.55924768], 167s [0.21627193, 0.6488158 ], 167s [0.34136602, 0.6530528 ], 167s [0.46415011, 0.64317249], 167s [0.58408063, 0.64162733], 167s [0.69827464, 0.67804372], 167s [0.8106776 , 0.63405465], 167s [0.24525034, 0.73575101], 167s [0.33781199, 0.75040605], 167s [0.42755424, 0.7356688 ], 167s [0.52835948, 0.73184922], 167s [0.63313593, 0.73809619], 167s [0.75984283, 0.73861781], 167s [0.85669033, 0.71836186], 167s [0.93541579, 0.67243563], 167s [1.0363102 , 0.70348006], 167s [1.13993875, 0.73536577], 167s [0.27898441, 0.83695324], 167s [0.38087923, 0.84582008], 167s [0.47449505, 0.83132947], 167s [0.58312867, 0.82348444], 167s [0.69530621, 0.81884085], 167s [0.80585071, 0.82428756], 167s [0.90460825, 0.79849051], 167s [0.99246197, 0.78681917], 167s [1.09127749, 0.80684856], 167s [1.23166655, 0.76358971], 167s [1.32679174, 0.792859 ], 167s [1.42620195, 0.82344675], 167s [0.31123197, 0.93369592], 167s [0.41769654, 0.94075231], 167s [0.53176449, 0.91010298], 167s [0.64296626, 0.90909696], 167s [0.75002922, 0.91107231], 167s [0.86066316, 0.90647542], 167s [0.9602422 , 0.89317976], 167s [1.05878399, 0.89282044], 167s [1.17182455, 0.86540967], 167s [1.26784684, 0.87796653], 167s [1.36881276, 0.89576892], 167s [1.51291961, 0.85012911], 167s [1.61012274, 0.88003777], 167s [1.70382063, 0.90886789], 167s [0.34310791, 1.02932374], 167s [0.49866157, 0.99625265], 167s [0.6003082 , 0.9999895 ], 167s [0.70239057, 1.0030863 ], 167s [0.8075111 , 1.00059556], 167s [0.91308677, 0.99632207], 167s [1.01561994, 0.98955306], 167s [1.12380698, 0.97265256], 167s [1.2240711 , 0.97315857], 167s [1.32792253, 0.98293295], 167s [1.44291122, 0.95755552], 167s [1.53254748, 0.95490425], 167s [1.61952603, 0.99170276], 167s [1.71853242, 1.01656854], 167s [1.80093343, 0.93874875], 167s [1.89981537, 0.96917396], 167s [0.43701766, 1.06133201], 167s [0.54476837, 1.09024673], 167s [0.64827337, 1.09619176], 167s [0.75263108, 1.09607901], 167s [0.85772459, 1.0929208 ], 167s [0.96390206, 1.08803283], 167s [1.07136761, 1.07591516], 167s [1.17578447, 1.07145355], 167s [1.2834284 , 1.07361563], 167s [1.40006273, 1.06074356], 167s [1.51389659, 1.05926879], 167s [1.62773422, 1.0903678 ], 167s [1.74033455, 1.11882118], 167s [1.8211067 , 1.04557187], 167s [1.92547157, 1.07452843], 167s [0.37848442, 1.13545325], 167s [0.48270185, 1.16573866], 167s [0.58927563, 1.18657706], 167s [0.69419115, 1.19066433], 167s [0.79975003, 1.18899022], 167s [0.90705848, 1.18455202], 167s [1.01470157, 1.17657196], 167s [1.11997238, 1.17021049], 167s [1.22737273, 1.16740983], 167s [1.33927245, 1.16209485], 167s [1.44530295, 1.15470368], 167s [1.5525953 , 1.16324105], 167s [1.66636973, 1.19042122], 167s [1.77995119, 1.22004881], 167s [1.85142199, 1.14857801], 167s [0.41143397, 1.23430191], 167s [0.52191393, 1.26642449], 167s [0.63004837, 1.28221545], 167s [0.7378013 , 1.2836138 ], 167s [0.84810546, 1.27930152], 167s [0.95743507, 1.27516388], 167s [1.06244171, 1.26966314], 167s [1.16942915, 1.2635367 ], 167s [1.27943959, 1.25919851], 167s [1.38714062, 1.26034862], 167s [1.48628403, 1.25311149], 167s [1.59548818, 1.26307193], 167s [1.71026156, 1.28973844], 167s [0.44273599, 1.32820796], 167s [0.55863814, 1.36466285], 167s [0.6716119 , 1.37493331], 167s [0.78762288, 1.37066593], 167s [0.90032467, 1.36922397], 167s [1.00666943, 1.37083415], 167s [1.11172499, 1.3613748 ], 167s [1.22133349, 1.35437881], 167s [1.33230641, 1.35515246], 167s [1.4396455 , 1.36550694], 167s [1.52864602, 1.34708857], 167s [1.6417498 , 1.3582502 ], 167s [0.47243186, 1.41729558], 167s [0.60015542, 1.45742388], 167s [0.72664878, 1.45650541], 167s [0.84343028, 1.45816302], 167s [0.9496447 , 1.46735474], 167s [1.05925016, 1.46472326], 167s [1.16393124, 1.44999117], 167s [1.27639338, 1.444804 ], 167s [1.39435275, 1.45200409], 167s [1.50380454, 1.48254046], 167s [1.57179525, 1.42820475], 167s [0.56841206, 1.56841206], 167s [0.67001074, 1.53399149], 167s [0.7899447 , 1.54261534], 167s [0.88940853, 1.5618262 ], 167s [1.00340976, 1.55881058], 167s [1.11740737, 1.55770923], 167s [1.21576514, 1.5362959 ], 167s [1.33292277, 1.53007348], 167s [1.44274478, 1.55725522], 167s [0.6389191 , 1.6389191 ], 167s [0.73601236, 1.61626638], 167s [0.82358605, 1.65967486], 167s [0.94102103, 1.64679047], 167s [1.06456306, 1.64490064], 167s [1.18168789, 1.6551211 ], 167s [1.26886879, 1.61244476], 167s [1.37071198, 1.62928802], 167s [0.71383956, 1.71383956], 167s [0.77923569, 1.77923569], 167s [0.88009163, 1.73653546], 167s [1.00259478, 1.72259324], 167s [1.12479996, 1.73379234], 167s [1.22699456, 1.77300544], 167s [1.2939788 , 1.7060212 ], 167s [0.84946574, 1.84946574], 167s [0.94448026, 1.80623488], 167s [1.05942426, 1.8054361 ], 167s [1.15492005, 1.84507995], 167s [0.92160469, 1.92160469], 167s [1.00092349, 1.88650518], 167s [1.08065181, 1.91934819]]), array([[ 23, 22, 12], 167s [ 22, 23, 33], 167s [ 27, 1, 28], 167s ..., 167s [125, 140, 124], 167s [140, 125, 141], 167s [ 90, 89, 82]], shape=(392, 3))), which will be an error in a future version of pytest. Did you mean to use `assert` instead of `return`? 167s warnings.warn( 167s 167s tests/test_quarter_annulus.py::test_quarter_annulus 167s /usr/lib/python3/dist-packages/_pytest/python.py:163: PytestReturnNotNoneWarning: Expected None, but tests/test_quarter_annulus.py::test_quarter_annulus returned (array([[ 7.08192362e-17, 2.50000000e-01], 167s [ 2.50000000e-01, -6.12323400e-17], 167s [ 1.00000000e+00, -2.44929360e-16], 167s [ 2.90171787e-01, 5.89376995e-02], 167s [ 3.07625014e-01, 0.00000000e+00], 167s [ 3.78208262e-01, 0.00000000e+00], 167s [ 4.49126117e-01, 0.00000000e+00], 167s [ 7.36811902e-01, 0.00000000e+00], 167s [ 8.62294839e-01, 0.00000000e+00], 167s [ 2.42618211e-01, 6.03026018e-02], 167s [ 3.48125048e-01, 5.35596060e-02], 167s [ 4.12688862e-01, 7.66527803e-02], 167s [ 4.86753855e-01, 6.28841433e-02], 167s [ 5.40351410e-01, 0.00000000e+00], 167s [ 6.36386259e-01, 0.00000000e+00], 167s [ 2.23461775e-01, 1.12092975e-01], 167s [ 2.83205850e-01, 1.19509223e-01], 167s [ 3.45498755e-01, 1.14934034e-01], 167s [ 4.08287179e-01, 1.55366369e-01], 167s [ 5.71482429e-01, 8.21898186e-02], 167s [ 1.91799669e-01, 1.60352384e-01], 167s [ 2.50477065e-01, 1.67747092e-01], 167s [ 3.31432777e-01, 1.78435732e-01], 167s [ 4.83996339e-01, 1.34790859e-01], 167s [ 6.57635528e-01, 1.09261232e-01], 167s [ 7.58763194e-01, 8.43121608e-02], 167s [ 8.77907331e-01, 1.06433899e-01], 167s [ 1.50277782e-01, 1.99791362e-01], 167s [ 2.04747433e-01, 2.20793477e-01], 167s [ 2.76272871e-01, 2.15566796e-01], 167s [ 4.02217310e-01, 2.29116290e-01], 167s [ 4.85137530e-01, 2.15162908e-01], 167s [ 5.67342824e-01, 1.72881012e-01], 167s [ 5.38106908e-02, 2.44140143e-01], 167s [ 1.02437140e-01, 2.28049627e-01], 167s [ 1.54299846e-01, 2.61681533e-01], 167s [ 2.45297320e-01, 2.67975515e-01], 167s [ 3.30658648e-01, 2.53739714e-01], 167s [ 5.69943573e-01, 2.75669635e-01], 167s [ 7.55632546e-01, 1.79536714e-01], 167s [ 9.87888833e-01, 1.55163311e-01], 167s [ 1.97668978e-01, 3.01725221e-01], 167s [ 2.90822610e-01, 3.12506129e-01], 167s [ 4.72159560e-01, 2.96025558e-01], 167s [ 6.50671571e-01, 2.21826518e-01], 167s [ 8.59115321e-01, 2.30074879e-01], 167s [ 9.51746446e-01, 3.06885488e-01], 167s [ 5.26044079e-02, 3.04257730e-01], 167s [ 1.06023166e-01, 2.96462620e-01], 167s [ 2.37612251e-01, 3.61073821e-01], 167s [ 3.33013574e-01, 3.73357184e-01], 167s [ 3.83013237e-01, 3.10518664e-01], 167s [ 4.38017912e-01, 3.77914620e-01], 167s [ 5.45682115e-01, 3.68179151e-01], 167s [ 6.59326703e-01, 3.52172136e-01], 167s [ 7.35648668e-01, 2.86212072e-01], 167s [ 6.95240854e-02, 3.69070550e-01], 167s [ 1.25103242e-01, 4.10696435e-01], 167s [ 1.51034551e-01, 3.46798035e-01], 167s [ 3.81984524e-01, 4.46218797e-01], 167s [ 6.15437107e-01, 4.56189651e-01], 167s [ 8.10737165e-01, 3.57241889e-01], 167s [ 8.95361428e-01, 4.45340222e-01], 167s [ 0.00000000e+00, 3.58712530e-01], 167s [ 6.66022862e-02, 4.56661908e-01], 167s [ 1.98055573e-01, 4.22995189e-01], 167s [ 3.25738053e-01, 5.26922213e-01], 167s [ 4.96014213e-01, 4.55747506e-01], 167s [ 7.79550017e-02, 5.50156680e-01], 167s [ 1.45203578e-01, 4.93581118e-01], 167s [ 2.83375416e-01, 4.37956421e-01], 167s [ 7.39740820e-01, 4.57257855e-01], 167s [ 0.00000000e+00, 5.10453236e-01], 167s [ 2.30401221e-01, 5.10777772e-01], 167s [ 4.29166513e-01, 5.32781576e-01], 167s [ 5.49676313e-01, 5.51781058e-01], 167s [ 0.00000000e+00, 6.08185169e-01], 167s [ 2.61654750e-01, 6.08810342e-01], 167s [ 3.65940683e-01, 6.31321554e-01], 167s [ 5.73471296e-01, 6.78597264e-01], 167s [ 6.70030195e-01, 5.71182052e-01], 167s [ 9.09945443e-02, 6.52757318e-01], 167s [ 1.67072460e-01, 5.89065732e-01], 167s [ 1.95011790e-01, 7.00027127e-01], 167s [ 4.69023972e-01, 6.34938968e-01], 167s [ 8.24500512e-01, 5.65861207e-01], 167s [ 1.02749090e-01, 7.63833780e-01], 167s [ 3.04168223e-01, 7.19051167e-01], 167s [ 7.38331639e-01, 6.74437833e-01], 167s [ 4.41105434e-01, 7.49233669e-01], 167s [ 2.13896652e-01, 8.29287520e-01], 167s [ 3.34289819e-01, 8.24747645e-01], 167s [ 5.41117197e-01, 8.40947192e-01], 167s [ 6.44860841e-01, 7.64300004e-01], 167s [ 1.03983802e-01, 8.86329114e-01], 167s [ 4.22877232e-01, 9.06186982e-01], 167s [ 0.00000000e+00, 1.00000000e+00], 167s [ 2.84205149e-01, 9.58763492e-01], 167s [ 1.50745394e-01, 9.88572621e-01], 167s [ 0.00000000e+00, 2.99418214e-01], 167s [ 0.00000000e+00, 4.24816843e-01], 167s [ 0.00000000e+00, 7.19098879e-01], 167s [ 0.00000000e+00, 8.46695859e-01]]), array([[ 26, 8, 2], 167s [ 7, 25, 24], 167s [ 89, 78, 84], 167s [ 59, 67, 74], 167s [ 75, 80, 79], 167s [ 67, 53, 60], 167s [101, 86, 102], 167s [ 39, 44, 24], 167s [ 44, 39, 55], 167s [ 85, 80, 71], 167s [ 85, 88, 80], 167s [ 71, 61, 62], 167s [ 53, 67, 52], 167s [ 54, 44, 55], 167s [ 56, 64, 100], 167s [ 75, 74, 67], 167s [ 89, 87, 78], 167s [ 59, 74, 66], 167s [ 4, 3, 1], 167s [ 47, 63, 99], 167s [ 57, 64, 56], 167s [ 97, 91, 95], 167s [ 90, 91, 97], 167s [ 89, 92, 95], 167s [ 89, 91, 87], 167s [ 90, 83, 87], 167s [ 98, 94, 90], 167s [ 94, 96, 102], 167s [ 86, 94, 102], 167s [ 90, 94, 86], 167s [ 79, 88, 93], 167s [ 39, 45, 55], 167s [ 40, 46, 45], 167s [ 8, 26, 25], 167s [ 26, 2, 40], 167s [ 8, 25, 7], 167s [ 26, 39, 25], 167s [ 67, 60, 75], 167s [ 53, 52, 43], 167s [ 54, 38, 44], 167s [ 44, 32, 24], 167s [ 83, 86, 81], 167s [ 78, 66, 74], 167s [ 70, 59, 66], 167s [ 5, 10, 4], 167s [ 11, 5, 6], 167s [ 5, 11, 10], 167s [ 22, 21, 16], 167s [ 22, 16, 17], 167s [ 47, 0, 33], 167s [ 47, 99, 0], 167s [ 18, 22, 17], 167s [ 43, 30, 31], 167s [ 41, 35, 28], 167s [ 22, 29, 21], 167s [ 89, 79, 92], 167s [ 79, 80, 88], 167s [ 79, 93, 92], 167s [ 89, 84, 79], 167s [ 89, 95, 91], 167s [ 71, 62, 85], 167s [ 45, 61, 55], 167s [ 71, 60, 54], 167s [ 18, 31, 30], 167s [ 51, 30, 43], 167s [ 7, 24, 14], 167s [ 39, 24, 25], 167s [ 66, 73, 70], 167s [ 66, 77, 73], 167s [ 83, 81, 82], 167s [ 36, 42, 49], 167s [ 50, 52, 59], 167s [ 51, 37, 30], 167s [ 20, 15, 21], 167s [ 15, 16, 21], 167s [ 18, 23, 31], 167s [ 18, 30, 22], 167s [ 23, 18, 11], 167s [ 35, 34, 27], 167s [ 28, 20, 21], 167s [ 20, 28, 27], 167s [ 28, 35, 27], 167s [ 41, 28, 36], 167s [ 29, 36, 28], 167s [ 29, 28, 21], 167s [ 53, 43, 38], 167s [ 44, 38, 32], 167s [ 83, 82, 77], 167s [ 90, 87, 91], 167s [ 86, 83, 90], 167s [ 81, 101, 76], 167s [ 81, 86, 101], 167s [ 72, 64, 68], 167s [ 76, 68, 81], 167s [ 15, 9, 16], 167s [ 3, 9, 1], 167s [ 13, 12, 6], 167s [ 12, 11, 6], 167s [ 12, 13, 19], 167s [ 23, 11, 12], 167s [ 12, 19, 23], 167s [ 64, 69, 68], 167s [ 65, 73, 69], 167s [ 65, 70, 73], 167s [ 58, 57, 56], 167s [ 33, 48, 47], 167s [ 33, 34, 48], 167s [ 49, 42, 50], 167s [ 36, 49, 41], 167s [ 58, 49, 65], 167s [ 49, 50, 70], 167s [ 65, 49, 70], 167s [ 60, 71, 80], 167s [ 60, 80, 75], 167s [ 84, 78, 74], 167s [ 84, 75, 79], 167s [ 84, 74, 75], 167s [ 59, 52, 67], 167s [ 52, 51, 43], 167s [ 98, 90, 97], 167s [ 96, 94, 98], 167s [ 40, 45, 26], 167s [ 45, 39, 26], 167s [ 54, 53, 38], 167s [ 53, 54, 60], 167s [ 47, 56, 63], 167s [ 22, 37, 29], 167s [ 22, 30, 37], 167s [ 46, 61, 45], 167s [ 46, 62, 61], 167s [ 54, 61, 71], 167s [ 54, 55, 61], 167s [ 31, 32, 38], 167s [ 38, 43, 31], 167s [ 19, 14, 24], 167s [ 19, 13, 14], 167s [ 78, 77, 66], 167s [ 77, 78, 87], 167s [ 36, 37, 42], 167s [ 36, 29, 37], 167s [ 50, 51, 52], 167s [ 70, 50, 59], 167s [ 42, 51, 50], 167s [ 42, 37, 51], 167s [ 17, 11, 18], 167s [ 17, 10, 11], 167s [ 23, 32, 31], 167s [ 32, 19, 24], 167s [ 23, 19, 32], 167s [ 83, 77, 87], 167s [ 77, 82, 73], 167s [ 72, 68, 76], 167s [ 64, 72, 100], 167s [ 56, 100, 63], 167s [ 57, 65, 69], 167s [ 57, 58, 65], 167s [ 64, 57, 69], 167s [ 17, 16, 3], 167s [ 17, 3, 10], 167s [ 3, 4, 10], 167s [ 16, 9, 3], 167s [ 68, 82, 81], 167s [ 82, 68, 69], 167s [ 82, 69, 73], 167s [ 58, 35, 41], 167s [ 35, 48, 34], 167s [ 48, 56, 47], 167s [ 58, 56, 48], 167s [ 58, 41, 49], 167s [ 58, 48, 35]])), which will be an error in a future version of pytest. Did you mean to use `assert` instead of `return`? 167s warnings.warn( 167s 167s tests/test_rectangle.py::test_rectangle 167s /usr/lib/python3/dist-packages/_pytest/python.py:163: PytestReturnNotNoneWarning: Expected None, but tests/test_rectangle.py::test_rectangle returned (array([[-1. , -1. ], 167s [ 2. , -1. ], 167s [ 2. , 1. ], 167s ..., 167s [ 1.74151113, 1. ], 167s [ 1.83158932, 1. ], 167s [ 1.91657928, 1. ]], shape=(705, 2)), array([[130, 161, 160], 167s [229, 259, 228], 167s [259, 229, 260], 167s ..., 167s [445, 444, 414], 167s [445, 475, 444], 167s [475, 445, 476]], shape=(1302, 3))), which will be an error in a future version of pytest. Did you mean to use `assert` instead of `return`? 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 3 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.0033117579747883705]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.0033117579747883705]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 4 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.020059322258740818]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.020059322258740818]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.03448282386452301]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.03448282386452301]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 3 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.04864179599775977]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.04864179599775977]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 3 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.061472813946262785]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 3 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.07302246947041356]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.07302246947041356]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.0777831695336572]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.0777831695336572]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.08236354994584497]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.08236354994584497]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.0859463369501536]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 3 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.08919458360558928]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.08919458360558928]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.09163588860796523]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.09163588860796523]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.0937690194771939]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.09585761132706472]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.09808438658195587]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.09808438658195587]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.10056794061921939]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 3 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.04224893730932375]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.03977693069817979]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.038764536532021415]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.038764536532021415]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.03719596081580803]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.03568282584654722]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.03388570723162232]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.03206502227682558]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.03011578446411945]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.03011578446411945]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.02826649746341571]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.0259486574857144]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.023237950982278727]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.020249744723290733]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.016960661517492454]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.013371550289727597]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.013371550289727597]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.00962338610159006]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.005649608907228205]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.0015319711984810437]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 3 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.296020424053624]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.292432503434815]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.3294638289695737]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.37556448700980016]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.4278788511128034]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.4849670402075284]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.5464828552805765]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.6113239539190263]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.6778856971420725]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.7453682838767819]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.8116809517858481]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.8745615668168464]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.9322858334122116]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-0.9838311128881679]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.0288598103678792]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.067566082934007]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.1003164411790207]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.1278281895595812]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.1508536567888876]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.1700248827750928]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.1862125312292389]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.201509854436734]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.2161653382787116]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.2285704421799228]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.238879231211965]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.2474705423922954]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.2549849426824662]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.2617174688344188]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.2670725575730029]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.2716233896571993]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.2759626145164824]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.2806538285948148]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.2863469707236284]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.2935949524442534]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.3029922359116197]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.3151973641804782]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.3309244823132413]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.350932987181129]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.3740851032335943]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.3911895105367422]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.4054402634281031]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.417923352948333]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.4294703341791528]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.440736204588768]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.452200550080045]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.464236637776108]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.4764134802338786]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.4886373677678828]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.5008906876776338]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.5131317168951297]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.5253172543220928]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.5374588513504195]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.5495162416865733]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.5613949427650522]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.5731253113664123]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.584544758914063]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.5955668393176858]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.6061508691274071]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.6161584318255404]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.625587737216938]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.6343761986162522]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.6424679059583187]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.6498124442105913]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.6563718027614729]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.662114762090513]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 2 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.6670801268669782]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/meshplex/_mesh_tri.py:366: UserWarning: After 1 edge flip steps, there are 1 remaining non-Delaunay facets. The signed circumcenter distances are [-1.6711335195122226]. This can happen due to round-off errors or to prevent non-manifold edges in shell meshes. 167s warnings.warn( 167s 167s tests/test_refinement_point_line.py::test 167s /usr/lib/python3/dist-packages/_pytest/python.py:163: PytestReturnNotNoneWarning: Expected None, but tests/test_refinement_point_line.py::test returned (array([[0. , 0. ], 167s [1. , 0. ], 167s [1. , 1. ], 167s [0. , 1. ], 167s [0.10302313, 0. ], 167s [0.20075125, 0. ], 167s [0.29388291, 0. ], 167s [0.3712507 , 0. ], 167s [0.52162425, 0. ], 167s [0.59220334, 0. ], 167s [0.66832556, 0. ], 167s [0.44798958, 0. ], 167s [0.62650433, 0.05395704], 167s [0.74248985, 0. ], 167s [0.82668986, 0. ], 167s [0.90961683, 0. ], 167s [0.15055172, 0.07266829], 167s [0.69170166, 0.06162503], 167s [0.78611299, 0.05645391], 167s [0.24709331, 0.06312136], 167s [0.40770831, 0.06478952], 167s [0.4852902 , 0.06296762], 167s [0.56099866, 0.06396466], 167s [0.6237253 , 0.10507055], 167s [0.93241382, 0.07487691], 167s [0.33717955, 0.07613936], 167s [0.44438545, 0.11374539], 167s [0.57849769, 0.13435405], 167s [0.67693311, 0.12471776], 167s [0.73960664, 0.09230634], 167s [0.85776653, 0.07050215], 167s [0.49241514, 0.14405796], 167s [0.52763002, 0.10907145], 167s [0.62900817, 0.16440818], 167s [0.80109995, 0.12473313], 167s [0.87131148, 0.13775628], 167s [1. , 0.09885172], 167s [0.28257225, 0.12090717], 167s [0.38651711, 0.13902415], 167s [0.4479215 , 0.17580667], 167s [0.49858597, 0.20382354], 167s [0.67713434, 0.18491098], 167s [0.72904772, 0.14928653], 167s [0.77102775, 0.18002181], 167s [0.93581043, 0.15686762], 167s [0.04988817, 0.0820711 ], 167s [0.3306275 , 0.16018885], 167s [0.54077925, 0.17384499], 167s [0.58712651, 0.19601414], 167s [0.82535001, 0.18909429], 167s [0.11406454, 0.14841654], 167s [0.20187339, 0.13152834], 167s [0.25620373, 0.18504934], 167s [0.72142761, 0.20978305], 167s [0.77347013, 0.23477139], 167s [0.88186892, 0.21094121], 167s [1. , 0.18754802], 167s [0.17783674, 0.2018981 ], 167s [0.40968129, 0.20303412], 167s [0.54730912, 0.22884988], 167s [0.63238107, 0.21931254], 167s [0.67629173, 0.24032733], 167s [0.82671163, 0.25027641], 167s [0.93886865, 0.23664045], 167s [0.06113427, 0.20087757], 167s [0.12007908, 0.24436111], 167s [0.30686269, 0.22742334], 167s [0.36265798, 0.21371423], 167s [0.45856406, 0.23621957], 167s [0.50724294, 0.25506405], 167s [0.59108637, 0.24864209], 167s [0.67920514, 0.28741085], 167s [0.72392215, 0.25999624], 167s [0.7743063 , 0.28672466], 167s [0. , 0.24871838], 167s [0.06274966, 0.29379838], 167s [0.17726358, 0.28300376], 167s [0.28984918, 0.28130631], 167s [0.40895488, 0.26053859], 167s [0.45746782, 0.28491439], 167s [0.50224656, 0.2952037 ], 167s [0.55243194, 0.27803766], 167s [0.59622269, 0.29296079], 167s [0.6346535 , 0.26780855], 167s [0.7249004 , 0.30402793], 167s [1. , 0.2691273 ], 167s [0.06340297, 0.3754878 ], 167s [0.234825 , 0.24745535], 167s [0.23608493, 0.31523395], 167s [0.35837472, 0.2750945 ], 167s [0.41308994, 0.31208055], 167s [0.72465294, 0.34203584], 167s [0.82706798, 0.30622526], 167s [0.88150894, 0.28054623], 167s [1. , 0.34461811], 167s [0.32725519, 0.31811262], 167s [0.37300377, 0.33551037], 167s [0.53636285, 0.31617307], 167s [0.56862461, 0.32430433], 167s [0.60538808, 0.33192763], 167s [0.63973411, 0.30910121], 167s [0.77248175, 0.33615947], 167s [0.93703082, 0.31030685], 167s [1. , 0.41974586], 167s [0.12215617, 0.32786103], 167s [0.18621771, 0.35203092], 167s [0.23684633, 0.3833251 ], 167s [0.33140117, 0.37170257], 167s [0.40643168, 0.36871711], 167s [0.44164735, 0.3554976 ], 167s [0.4659483 , 0.32891663], 167s [0.50490842, 0.34025657], 167s [0.53805782, 0.35909079], 167s [0.57656281, 0.35921822], 167s [0.61184658, 0.36739128], 167s [0.64029732, 0.34673993], 167s [0.68060403, 0.33054148], 167s [0.13762029, 0.39325945], 167s [0.28137825, 0.34728346], 167s [0.28703408, 0.40262514], 167s [0.3737404 , 0.39276141], 167s [0.48984716, 0.37306432], 167s [0.55854668, 0.38935342], 167s [0.59305967, 0.39038679], 167s [0.66368649, 0.36901465], 167s [0.70109806, 0.37279069], 167s [0.74666791, 0.38022498], 167s [0.82200985, 0.35328918], 167s [0.88062604, 0.34840891], 167s [0.93990425, 0.3796776 ], 167s [0.19217162, 0.41837289], 167s [0.24524803, 0.44197283], 167s [0.16473183, 0.35876523], 167s [0.33713705, 0.42112611], 167s [0.41864251, 0.41317549], 167s [0.45427303, 0.39164712], 167s [0.48693845, 0.41499845], 167s [0.52098888, 0.39474862], 167s [0.54539736, 0.41977221], 167s [0.57830746, 0.41750526], 167s [0.61150881, 0.41182748], 167s [0.63508245, 0.38942077], 167s [0.67610853, 0.40308217], 167s [0.71705733, 0.41352883], 167s [0.75837833, 0.42871801], 167s [0.78990694, 0.39069349], 167s [0.84452437, 0.4006667 ], 167s [0. , 0.51221984], 167s [0.04676785, 0.46697238], 167s [0.09217333, 0.43232081], 167s [0.10560503, 0.5005681 ], 167s [0.19835231, 0.47503375], 167s [0.29859524, 0.44822584], 167s [0.28318796, 0.48371822], 167s [0.34284472, 0.46450744], 167s [0.38238164, 0.43669551], 167s [0.41854822, 0.45778015], 167s [0.45425842, 0.43268223], 167s [0.51272324, 0.43376454], 167s [0.5372208 , 0.45085607], 167s [0.5653169 , 0.44621072], 167s [0.59519605, 0.4446662 ], 167s [0.62564686, 0.44163186], 167s [0.64919401, 0.42137291], 167s [0.80545546, 0.44214411], 167s [0.85479628, 0.46023948], 167s [0.14814971, 0.46206594], 167s [0.24405324, 0.49654938], 167s [0.38035056, 0.47740599], 167s [0.45308589, 0.46692789], 167s [0.48654843, 0.45693903], 167s [0.51713299, 0.47123069], 167s [0.55119124, 0.47620582], 167s [0.58386391, 0.47749462], 167s [0.61933479, 0.47583737], 167s [0.65616173, 0.46195408], 167s [0.68664447, 0.4406724 ], 167s [0.7250062 , 0.4604986 ], 167s [0.7670195 , 0.47866032], 167s [0.89600784, 0.41852915], 167s [1. , 0.50021526], 167s [0.1617329 , 0.52690981], 167s [0.20513001, 0.57495729], 167s [0.20759461, 0.52683714], 167s [0.3212887 , 0.49899984], 167s [0.35773663, 0.5096235 ], 167s [0.40535993, 0.49844938], 167s [0.43539525, 0.49753586], 167s [0.47029325, 0.49316245], 167s [0.49875382, 0.49192183], 167s [0.5653398 , 0.5082719 ], 167s [0.60632206, 0.50949369], 167s [0.64954964, 0.50210174], 167s [0.69071414, 0.48431203], 167s [0.8120421 , 0.50012903], 167s [0.90389307, 0.49272452], 167s [0.9470389 , 0.45604359], 167s [0.05564308, 0.53941676], 167s [0.11829442, 0.5603469 ], 167s [0.24792373, 0.55044645], 167s [0.28334608, 0.52796509], 167s [0.32141431, 0.53982423], 167s [0.38707329, 0.52711135], 167s [0.41916573, 0.53457917], 167s [0.45168648, 0.52435915], 167s [0.48212183, 0.52132942], 167s [0.51263727, 0.52002092], 167s [0.53268989, 0.5005054 ], 167s [0.58370079, 0.53760145], 167s [0.63368573, 0.53907699], 167s [0.68562855, 0.52637763], 167s [0.72996902, 0.51146553], 167s [0.77378246, 0.53428044], 167s [0.94540918, 0.53965757], 167s [0.24838986, 0.59795848], 167s [0.32587251, 0.57793861], 167s [0.35579029, 0.54894841], 167s [0.39070036, 0.56074887], 167s [0.44162211, 0.55473911], 167s [0.4709457 , 0.54985934], 167s [0.50444648, 0.54865981], 167s [0.54284233, 0.53894905], 167s [0.82347494, 0.56724669], 167s [0.85802755, 0.52370804], 167s [1. , 0.58373583], 167s [0.0653131 , 0.59707921], 167s [0.28713559, 0.57113284], 167s [0.36165443, 0.58260855], 167s [0.39577359, 0.59336724], 167s [0.41923656, 0.57173011], 167s [0.45439161, 0.58115588], 167s [0.48732015, 0.57936607], 167s [0.52501621, 0.57438629], 167s [0.56473909, 0.57286617], 167s [0.60530949, 0.56800056], 167s [0.6707242 , 0.56232611], 167s [0.72350224, 0.56349711], 167s [0.76925472, 0.58670783], 167s [0.89253661, 0.57069943], 167s [0.11817305, 0.62115518], 167s [0.16523772, 0.59216955], 167s [0.21011203, 0.62943907], 167s [0.29445094, 0.609147 ], 167s [0.33316071, 0.6127461 ], 167s [0.36946672, 0.61221576], 167s [0.40788763, 0.62014579], 167s [0.43059365, 0.59989197], 167s [0.46752978, 0.61252752], 167s [0.50425581, 0.61025841], 167s [0.54625344, 0.60635277], 167s [0.59408881, 0.61045074], 167s [0.63912074, 0.59100653], 167s [0.63911903, 0.633739 ], 167s [0.69032436, 0.60400233], 167s [0.73656326, 0.62725509], 167s [0.80596557, 0.63030157], 167s [0. , 0.59416239], 167s [0.16497313, 0.65280563], 167s [0.30675298, 0.64816628], 167s [0.34713798, 0.64440906], 167s [0.3839476 , 0.63812285], 167s [0.41282178, 0.65713512], 167s [0.44107421, 0.63358778], 167s [0.48072276, 0.64832492], 167s [0.56698464, 0.64181179], 167s [0.68270287, 0.65250099], 167s [0.0532883 , 0.65413359], 167s [0.10844465, 0.67673757], 167s [0.23672305, 0.67052318], 167s [0.26400992, 0.63914365], 167s [0.28251952, 0.68568707], 167s [0.33086083, 0.68039942], 167s [0.3739005 , 0.67021628], 167s [0.40472606, 0.69336876], 167s [0.44650838, 0.66995006], 167s [0.52285639, 0.64286602], 167s [0.60725102, 0.66445725], 167s [0.77201877, 0.67327455], 167s [0.93866308, 0.62317308], 167s [0.14289451, 0.71513419], 167s [0.19666884, 0.69162568], 167s [0.31114392, 0.71751808], 167s [0.43817027, 0.70766214], 167s [0.47915007, 0.69368955], 167s [0.51274827, 0.68186648], 167s [0. , 0.67566652], 167s [0.19204707, 0.74533649], 167s [0.36235694, 0.70564364], 167s [0.48260109, 0.7320766 ], 167s [0.53474106, 0.72369644], 167s [0.55613909, 0.68164758], 167s [0.86090357, 0.62419941], 167s [1. , 0.66940502], 167s [0.06723085, 0.72453868], 167s [0.2465131 , 0.71950531], 167s [0.3466158 , 0.74174149], 167s [0.39526409, 0.73598351], 167s [0.43887904, 0.74587595], 167s [0.59104778, 0.71139052], 167s [0.65102177, 0.69394149], 167s [0.71566532, 0.68959795], 167s [0.8934264 , 0.67691977], 167s [0. , 0.75003673], 167s [0.23932699, 0.77213106], 167s [0.28539913, 0.75282628], 167s [0.41850367, 0.78391009], 167s [0.83102653, 0.69987466], 167s [0.94934865, 0.7160339 ], 167s [0.1246191 , 0.76855494], 167s [0.22783022, 0.82341169], 167s [0.28279029, 0.814551 ], 167s [0.32222571, 0.77911067], 167s [0.47101449, 0.78300543], 167s [0.51532613, 0.76454484], 167s [0.57780754, 0.76036962], 167s [0.63843085, 0.79117681], 167s [0.63453731, 0.74191186], 167s [0.69554215, 0.74235322], 167s [0.69088837, 0.80268194], 167s [0.76465111, 0.73350252], 167s [0.82187371, 0.77620782], 167s [0.88767502, 0.75612844], 167s [1. , 0.77109923], 167s [0.06540646, 0.79498032], 167s [0.17758688, 0.79993612], 167s [0.33989494, 0.82608478], 167s [0.37345211, 0.78085669], 167s [0.44200878, 0.8287622 ], 167s [0.54280863, 0.79752945], 167s [0.59698685, 0.81972148], 167s [0.7520901 , 0.79433066], 167s [0.12775551, 0.84024462], 167s [0.18400453, 0.87093027], 167s [0.39118347, 0.83234112], 167s [0.4972298 , 0.82675104], 167s [0.72040575, 0.86303064], 167s [0.13787503, 0.92273944], 167s [0.24863006, 0.87525986], 167s [0.30513718, 0.87175417], 167s [0.36095953, 0.88317193], 167s [0.41762969, 0.88655742], 167s [0.46959798, 0.8767593 ], 167s [0.517999 , 0.89443347], 167s [0.54758493, 0.8512379 ], 167s [0.6499747 , 0.86215245], 167s [0.79488002, 0.8523881 ], 167s [0.21000827, 0.93697742], 167s [0.39464025, 0.94223918], 167s [0.46415509, 0.93995276], 167s [0.54040085, 0.94269385], 167s [0.59071333, 0.88642508], 167s [0.87088214, 0.84216926], 167s [0.94127202, 0.81603068], 167s [0.07175402, 0.86944653], 167s [0.18351776, 1. ], 167s [0.32998818, 0.93777338], 167s [0.68350538, 0.92728576], 167s [0.76135502, 0.9267528 ], 167s [0.92954434, 0.91612813], 167s [0.06434489, 0.94366913], 167s [0.2738664 , 0.93375997], 167s [0.34440295, 1. ], 167s [0.61491357, 0.93705418], 167s [0.84341534, 0.92140342], 167s [1. , 0.88118176], 167s [0.2663674 , 1. ], 167s [0.49528705, 1. ], 167s [0.72453322, 1. ], 167s [0.8089118 , 1. ], 167s [0.90034445, 1. ], 167s [0.10222446, 1. ], 167s [0.42110786, 1. ], 167s [0.57152902, 1. ], 167s [0.64778457, 1. ], 167s [0. , 0.14689992], 167s [0. , 0.33931339], 167s [0. , 0.42283676], 167s [0. , 0.82789748], 167s [0. , 0.90780909]]), array([[358, 364, 2], 167s [ 9, 12, 22], 167s [357, 368, 367], 167s ..., 167s [ 43, 54, 53], 167s [ 42, 53, 41], 167s [ 49, 62, 54]], shape=(710, 3))), which will be an error in a future version of pytest. Did you mean to use `assert` instead of `return`? 167s warnings.warn( 167s 167s tests/test_rotation.py::test 167s /usr/lib/python3/dist-packages/_pytest/python.py:163: PytestReturnNotNoneWarning: Expected None, but tests/test_rotation.py::test returned (array([[-0.64203952, -1.26007351], 167s [-0.66981084, -1.17460218], 167s [-0.55383707, -1.2314148 ], 167s ..., 167s [ 1.50489359, 1.54043179], 167s [ 1.62086736, 1.48361917], 167s [ 1.59309604, 1.56909051]], shape=(693, 2)), array([[ 6, 1, 2], 167s [ 2, 1, 0], 167s [690, 691, 692], 167s ..., 167s [464, 465, 496], 167s [465, 466, 497], 167s [466, 465, 434]], shape=(1284, 3))), which will be an error in a future version of pytest. Did you mean to use `assert` instead of `return`? 167s warnings.warn( 167s 167s tests/test_scaling.py::test 167s /usr/lib/python3/dist-packages/_pytest/python.py:163: PytestReturnNotNoneWarning: Expected None, but tests/test_scaling.py::test returned (array([[-2. , -2. ], 167s [-1.8896278 , -2. ], 167s [-1.78136432, -2. ], 167s ..., 167s [ 3.78136432, 2. ], 167s [ 3.8896278 , 2. ], 167s [ 4. , 2. ]], shape=(2843, 2)), array([[ 119, 59, 120], 167s [1591, 1592, 1652], 167s [1592, 1591, 1531], 167s ..., 167s [ 979, 978, 918], 167s [ 978, 917, 918], 167s [ 917, 978, 977]], shape=(5474, 3))), which will be an error in a future version of pytest. Did you mean to use `assert` instead of `return`? 167s warnings.warn( 167s 167s tests/test_square_hole_refined.py::test 167s /usr/lib/python3/dist-packages/_pytest/python.py:163: PytestReturnNotNoneWarning: Expected None, but tests/test_square_hole_refined.py::test returned (array([[-1. , -1. ], 167s [ 1. , -1. ], 167s [ 1. , 1. ], 167s [-1. , 1. ], 167s [-0.7460127 , -1. ], 167s [-0.5286785 , -1. ], 167s [-0.15848005, -1. ], 167s [ 0.18530945, -1. ], 167s [-0.33437849, -1. ], 167s [ 0.02033224, -1. ], 167s [-0.41411635, -0.80893866], 167s [ 0.36449382, -1. ], 167s [ 0.5507989 , -1. ], 167s [ 0.75301113, -1. ], 167s [ 0.2818457 , -0.82264795], 167s [ 0.44799755, -0.79730593], 167s [ 0.80186501, -0.76963757], 167s [-0.60077346, -0.7913576 ], 167s [-0.34073513, -0.66124023], 167s [-0.0556867 , -0.83702606], 167s [ 0.11373048, -0.80980026], 167s [-0.23896695, -0.81063843], 167s [ 0.2423802 , -0.69039474], 167s [ 0.38608573, -0.64835578], 167s [-0.80260829, -0.77211383], 167s [-0.11758872, -0.7105454 ], 167s [-0.6514181 , -0.60094117], 167s [-0.21343555, -0.63993911], 167s [ 0.1337312 , -0.63854156], 167s [-1. , -0.69979422], 167s [-0.49023004, -0.63790422], 167s [-0.28422457, -0.53243982], 167s [ 0.01879471, -0.69158744], 167s [ 0.61316125, -0.76579682], 167s [ 1. , -0.7407727 ], 167s [-0.07503536, -0.59275484], 167s [ 0.25942379, -0.56415201], 167s [-0.40436206, -0.51821464], 167s [-0.23232251, -0.44144339], 167s [-0.16488878, -0.53189133], 167s [ 0.03737913, -0.56407883], 167s [ 0.15267899, -0.52131202], 167s [ 0.25376237, -0.45526396], 167s [ 0.3729074 , -0.51068152], 167s [ 0.53692814, -0.59268418], 167s [-0.33256168, -0.42310702], 167s [-0.13710927, -0.45084917], 167s [-0.04991028, -0.49217755], 167s [ 0.05803817, -0.47578668], 167s [ 0.98176223, -0.53478861], 167s [-0.53453321, -0.47754337], 167s [-0.08653769, -0.40085086], 167s [-0.00908857, -0.41950579], 167s [ 0.48099765, -0.45311415], 167s [-0.814213 , -0.54642434], 167s [-0.17313876, -0.37624394], 167s [ 0.07378401, -0.40141052], 167s [ 0.06970674, -0.33813323], 167s [ 0.15034493, -0.4305705 ], 167s [ 0.73662168, -0.58169081], 167s [-1. , -0.45100928], 167s [-0.44780751, -0.38853973], 167s [-0.25554199, -0.35297878], 167s [-0.11768819, -0.33347153], 167s [-0.05050201, -0.34873857], 167s [ 0.01142305, -0.35604915], 167s [ 0.12781338, -0.34580477], 167s [ 0.19948048, -0.37036819], 167s [ 0.27064307, -0.3618215 ], 167s [ 0.35306042, -0.39547222], 167s [ 0.80217459, -0.40750744], 167s [-0.6597631 , -0.41746413], 167s [-0.54342573, -0.30883941], 167s [-0.35682251, -0.33344543], 167s [-0.23014857, -0.27032795], 167s [-0.18346142, -0.30787456], 167s [-0.10845509, -0.27970966], 167s [-0.06409536, -0.293073 ], 167s [-0.01480725, -0.29963435], 167s [ 0.0335433 , -0.29811885], 167s [ 0.08591712, -0.2874339 ], 167s [ 0.17195938, -0.30479979], 167s [ 0.22724201, -0.28856577], 167s [ 0.30435442, -0.296225 ], 167s [ 0.44029368, -0.34751061], 167s [ 0.62815464, -0.44562609], 167s [-0.43443437, -0.27454289], 167s [-0.29247525, -0.28843665], 167s [-0.18475126, -0.23636195], 167s [-0.1472889 , -0.26135413], 167s [ 0.12693249, -0.27182374], 167s [ 0.17118153, -0.24636737], 167s [ 0.25968471, -0.23523861], 167s [-0.34994398, -0.24043794], 167s [-0.27571912, -0.21987894], 167s [-0.22048541, -0.20343595], 167s [ 0.20569406, -0.2183803 ], 167s [ 0.31452749, -0.21306835], 167s [ 0.37453398, -0.28243931], 167s [ 0.47251962, -0.24661555], 167s [ 0.55443259, -0.32960442], 167s [-0.47727045, -0.19201377], 167s [-0.39007549, -0.17943728], 167s [-0.31391205, -0.17068341], 167s [-0.25234067, -0.1622473 ], 167s [ 0.2398665 , -0.18017786], 167s [ 0.3895342 , -0.19872041], 167s [ 0.4765175 , -0.15435731], 167s [ 0.58170658, -0.20157586], 167s [ 0.69528761, -0.12376138], 167s [ 0.6831858 , -0.28561144], 167s [-0.81910318, -0.35928011], 167s [-0.67005962, -0.26600955], 167s [-0.33882984, -0.11472242], 167s [-0.27609762, -0.11734609], 167s [ 0.26348881, -0.14343516], 167s [ 0.32398645, -0.14837074], 167s [ 0.39445226, -0.12357974], 167s [ 0.82635559, -0.22492902], 167s [-0.57331372, -0.17487758], 167s [-0.4951698 , -0.08986329], 167s [-0.29201291, -0.06876382], 167s [ 0.28295408, -0.09968445], 167s [ 0.33893177, -0.08222938], 167s [ 0.4634585 , -0.06672412], 167s [ 0.56240088, -0.09270895], 167s [ 1. , -0.33597539], 167s [-0.81853578, -0.20313147], 167s [-0.68662379, -0.11957837], 167s [-0.41319235, -0.10815322], 167s [-0.35249326, -0.05397736], 167s [-0.29949821, -0.01734418], 167s [ 0.29569648, -0.05063193], 167s [ 0.3955732 , -0.04689307], 167s [ 1. , -0.14165221], 167s [-0.42112106, -0.02878943], 167s [-0.29788672, 0.03554581], 167s [ 0.29995624, -0.00512401], 167s [ 0.34869738, -0.01058338], 167s [ 0.42080644, 0.02274992], 167s [ 0.62105845, -0.00636868], 167s [-0.35464355, 0.01003699], 167s [ 0.29757641, 0.0380563 ], 167s [ 0.35017456, 0.05005232], 167s [ 0.50507516, 0.00469466], 167s [-1. , -0.23427793], 167s [-0.58599246, -0.04575298], 167s [-0.58169768, 0.07451781], 167s [-0.49617319, 0.01273744], 167s [-0.34464176, 0.07384352], 167s [-0.28675128, 0.08816861], 167s [ 0.28870953, 0.08152794], 167s [ 0.3957029 , 0.09862901], 167s [ 0.83779219, -0.05011226], 167s [-0.41521267, 0.05151143], 167s [-0.26617859, 0.13837976], 167s [ 0.27087513, 0.12894443], 167s [ 0.46813378, 0.10009053], 167s [ 0.72803477, 0.03716083], 167s [ 1. , 0.05086559], 167s [-0.8334487 , -0.05889447], 167s [-0.69674132, 0.02044236], 167s [-0.48192697, 0.10979884], 167s [-0.39378987, 0.12655262], 167s [-0.32306047, 0.13546856], 167s [-0.23756117, 0.18320669], 167s [ 0.24695458, 0.1703333 ], 167s [ 0.32718275, 0.11167088], 167s [ 0.36732096, 0.1619559 ], 167s [ 0.43765839, 0.18526217], 167s [ 0.55868812, 0.08423139], 167s [ 0.65232493, 0.13855495], 167s [ 0.83781933, 0.13965838], 167s [-0.3585124 , 0.19615838], 167s [-0.29144086, 0.19398505], 167s [-0.2030287 , 0.22086047], 167s [ 0.21814194, 0.20594682], 167s [ 0.30720194, 0.17648235], 167s [ 0.53363766, 0.18780813], 167s [-0.83207225, 0.09549009], 167s [-0.44582465, 0.19403355], 167s [-0.25061355, 0.24511418], 167s [-0.16433288, 0.25098746], 167s [ 0.14533345, 0.26244654], 167s [ 0.18283485, 0.23784747], 167s [ 0.2801813 , 0.22412576], 167s [ 0.36576556, 0.23461312], 167s [-1. , -0.03663102], 167s [-0.68158527, 0.15803139], 167s [-0.64814536, 0.29225254], 167s [-0.55793925, 0.18827824], 167s [-0.50278149, 0.27630184], 167s [-0.39356459, 0.26905824], 167s [-0.31315732, 0.26293284], 167s [-0.20173884, 0.28590562], 167s [-0.12235069, 0.27391661], 167s [-0.07962246, 0.28924084], 167s [-0.03469708, 0.29798677], 167s [ 0.0098444 , 0.29983844], 167s [ 0.05467389, 0.29497587], 167s [ 0.09876048, 0.2832779 ], 167s [ 0.19026821, 0.303771 ], 167s [ 0.23475109, 0.26468287], 167s [-1. , 0.15199256], 167s [-0.80876001, 0.24753682], 167s [-0.32610728, 0.3440842 ], 167s [-0.25501246, 0.31912148], 167s [-0.14738302, 0.31466991], 167s [-0.0904002 , 0.33584451], 167s [-0.06299204, 0.41256391], 167s [-0.03540089, 0.35055414], 167s [ 0.02307267, 0.35403011], 167s [ 0.07687529, 0.34483784], 167s [ 0.13694198, 0.31758204], 167s [ 0.3091259 , 0.2837285 ], 167s [-0.66971607, 0.43772331], 167s [-0.41842263, 0.35298725], 167s [-0.18932488, 0.36029116], 167s [-0.12287734, 0.38492823], 167s [ 0.00313512, 0.41731404], 167s [ 0.13301422, 0.37324355], 167s [ 0.25880528, 0.3337212 ], 167s [ 0.3320405 , 0.37216965], 167s [ 0.72696892, 0.24104568], 167s [ 1. , 0.24823813], 167s [-0.81425467, 0.39764792], 167s [-0.24538856, 0.40430277], 167s [-0.15725481, 0.44591204], 167s [ 0.07284231, 0.41933382], 167s [ 0.15729364, 0.44256213], 167s [ 0.20158124, 0.37340129], 167s [ 0.47073175, 0.27530717], 167s [ 0.60476129, 0.27397299], 167s [ 0.68881121, 0.40774659], 167s [ 1. , 0.46360108], 167s [-0.32786167, 0.43554619], 167s [-0.22792195, 0.49771615], 167s [-0.07931985, 0.48384231], 167s [ 0.00854748, 0.49374569], 167s [ 0.39403862, 0.313662 ], 167s [ 0.54009959, 0.36284593], 167s [ 0.83910844, 0.3391998 ], 167s [-0.53720015, 0.37730545], 167s [-0.42698526, 0.45164067], 167s [ 0.05267272, 0.5915409 ], 167s [ 0.10119082, 0.50341386], 167s [ 0.16830722, 0.59083771], 167s [ 0.21681744, 0.50527201], 167s [ 0.25861335, 0.42941359], 167s [ 0.34352135, 0.46985209], 167s [ 0.44003651, 0.40476846], 167s [ 0.56506113, 0.4864235 ], 167s [ 0.68450182, 0.60039898], 167s [ 0.8278845 , 0.53864255], 167s [-0.54380949, 0.51174071], 167s [-0.41763444, 0.56887152], 167s [-0.31314004, 0.54100003], 167s [-0.15038297, 0.55676749], 167s [ 0.29993008, 0.56737989], 167s [ 0.53338964, 0.64315116], 167s [ 0.82544343, 0.77546163], 167s [-1. , 0.33187568], 167s [-0.05289331, 0.58386579], 167s [-0.34435526, 0.69081052], 167s [-0.23703173, 0.63528524], 167s [-0.13729632, 0.68992398], 167s [-0.0165341 , 0.70131969], 167s [ 0.1122736 , 0.70373165], 167s [ 0.43814028, 0.53081117], 167s [ 0.64112261, 0.79805874], 167s [-0.8110389 , 0.57789893], 167s [-0.11714425, 0.8391891 ], 167s [ 0.24868961, 0.69056191], 167s [ 0.38692443, 0.66494228], 167s [-1. , 0.52758836], 167s [-0.79754541, 0.78479043], 167s [-0.65294852, 0.61855167], 167s [-0.50075803, 0.67708495], 167s [-0.41259641, 0.83687571], 167s [ 0.18098021, 0.83720541], 167s [ 0.33382725, 0.82800951], 167s [ 0.47796983, 0.81358628], 167s [-0.60426745, 0.81112162], 167s [-0.2485114 , 0.81141665], 167s [ 0.02768559, 0.83926613], 167s [ 0.29607943, 1. ], 167s [ 1. , 0.70435408], 167s [-1. , 0.74689871], 167s [-0.73821141, 1. ], 167s [-0.28698892, 1. ], 167s [-0.09637573, 1. ], 167s [ 0.09678368, 1. ], 167s [-0.50483781, 1. ], 167s [ 0.5042883 , 1. ], 167s [ 0.73576431, 1. ]]), array([[ 2, 294, 260], 167s [293, 285, 280], 167s [ 24, 0, 4], 167s ..., 167s [ 96, 82, 92], 167s [ 92, 82, 83], 167s [ 92, 83, 97]], shape=(515, 3))), which will be an error in a future version of pytest. Did you mean to use `assert` instead of `return`? 167s warnings.warn( 167s 167s tests/test_stretch.py::test 167s /usr/lib/python3/dist-packages/_pytest/python.py:163: PytestReturnNotNoneWarning: Expected None, but tests/test_stretch.py::test returned (array([[-0.56347118, -1.26824925], 167s [-0.16951087, -1.20065634], 167s [ 0.21513564, -1.13466143], 167s [ 0.55035689, -1.07714656], 167s [-1.34842649, -1.03077841], 167s [-1.04893292, -1.31520907], 167s [-0.79399569, -1.06411934], 167s [-0.40261042, -0.9924377 ], 167s [ 0.01390156, -0.93872243], 167s [ 0.88962985, -1.01893652], 167s [ 1.21592476, -0.96295317], 167s [ 1.50818583, -0.9128091 ], 167s [ 1.75313022, -0.87078328], 167s [-1.28246919, -0.64635107], 167s [-1.02832135, -0.86153922], 167s [-0.640163 , -0.76719216], 167s [-0.23101597, -0.74696426], 167s [ 0.15166309, -0.6949429 ], 167s [ 0.41807053, -0.81790017], 167s [ 0.75704486, -0.77061149], 167s [ 1.09066465, -0.71419981], 167s [ 1.42470663, -0.65067559], 167s [ 1.9865696 , -0.83073142], 167s [ 2.20710678, -0.79289322], 167s [-1.17068243, 0.0051899 ], 167s [-1.22846515, -0.3315925 ], 167s [-0.88117696, -0.53162192], 167s [-0.45724215, -0.51763953], 167s [-0.08281159, -0.46829108], 167s [ 0.28682124, -0.4504317 ], 167s [ 0.58842837, -0.51003802], 167s [ 0.91786868, -0.46135095], 167s [ 1.2566301 , -0.4182538 ], 167s [ 1.64426885, -0.488388 ], 167s [ 1.91709893, -0.53490181], 167s [ 2.24411881, -0.57717133], 167s [-1.11598878, 0.32396782], 167s [-0.90606518, -0.20494379], 167s [-0.59487385, -0.25725327], 167s [-0.25778601, -0.21563794], 167s [ 0.0905416 , -0.18500729], 167s [ 0.43781209, -0.18655214], 167s [ 0.7490982 , -0.19689424], 167s [ 1.08044039, -0.16245277], 167s [ 1.43638973, -0.18638339], 167s [ 1.73342243, -0.16760312], 167s [ 1.98830938, -0.25157018], 167s [ 2.27964405, -0.37011502], 167s [-0.87316832, 0.14744254], 167s [-0.62800641, 0.05808138], 167s [-0.34734536, 0.06755845], 167s [-0.04783398, 0.09807949], 167s [ 0.28706307, 0.09742715], 167s [ 0.60355339, 0.10355339], 167s [ 0.92004371, 0.10967963], 167s [ 1.25494077, 0.10902729], 167s [ 1.55445214, 0.13954833], 167s [ 1.83511319, 0.1490254 ], 167s [ 2.0802751 , 0.05966424], 167s [-1.07253727, 0.5772218 ], 167s [-0.7812026 , 0.45867696], 167s [-0.52631565, 0.3747099 ], 167s [-0.22928295, 0.39349017], 167s [ 0.12666639, 0.36955955], 167s [ 0.45800859, 0.40400102], 167s [ 0.76929469, 0.39365892], 167s [ 1.11656518, 0.39211407], 167s [ 1.46489279, 0.42274472], 167s [ 1.80198063, 0.46436005], 167s [ 2.11317196, 0.41205057], 167s [ 2.32309557, -0.11686104], 167s [-1.03701202, 0.78427811], 167s [-0.70999215, 0.74200859], 167s [-0.43716207, 0.69549479], 167s [-0.04952332, 0.62536058], 167s [ 0.2892381 , 0.66845774], 167s [ 0.61867841, 0.7171448 ], 167s [ 0.92028554, 0.65753848], 167s [ 1.28991837, 0.67539787], 167s [ 1.66434893, 0.72474631], 167s [ 2.08828374, 0.7387287 ], 167s [ 2.43557194, 0.53869928], 167s [ 2.37778921, 0.20191688], 167s [-1. , 1. ], 167s [-0.77946282, 1.0378382 ], 167s [-0.21759984, 0.85778237], 167s [ 0.11644214, 0.92130659], 167s [ 0.45006192, 0.97771827], 167s [ 0.78903625, 1.02500695], 167s [ 1.05544369, 0.90204968], 167s [ 1.43812275, 0.95407104], 167s [ 1.84726978, 0.97429895], 167s [ 2.23542813, 1.068646 ], 167s [ 2.48957597, 0.85345785], 167s [-0.54602344, 1.07789006], 167s [-0.30107905, 1.11991588], 167s [-0.00881798, 1.17005995], 167s [ 0.31747693, 1.22604331], 167s [ 1.19320522, 1.14582921], 167s [ 1.6097172 , 1.19954449], 167s [ 2.00110247, 1.27122612], 167s [ 2.2560397 , 1.52231585], 167s [ 2.55553327, 1.23788519], 167s [ 0.65674989, 1.28425334], 167s [ 0.99197114, 1.34176822], 167s [ 1.37661765, 1.40776312], 167s [ 1.77057796, 1.47535603], 167s [ 2.62132034, 1.62132034], 167s [-1.41421356, -1.41421356]]), array([[106, 105, 99], 167s [107, 106, 101], 167s [107, 101, 102], 167s [ 70, 46, 47], 167s [ 92, 93, 102], 167s [ 70, 58, 46], 167s [100, 101, 106], 167s [ 40, 52, 51], 167s [ 39, 40, 51], 167s [ 5, 4, 108], 167s [ 94, 84, 72], 167s [ 38, 50, 49], 167s [ 39, 50, 38], 167s [ 50, 39, 51], 167s [ 47, 46, 34], 167s [ 69, 82, 81], 167s [ 98, 105, 104], 167s [ 97, 96, 86], 167s [ 45, 33, 34], 167s [ 47, 34, 35], 167s [ 35, 34, 22], 167s [ 45, 34, 46], 167s [ 59, 60, 72], 167s [ 36, 48, 60], 167s [ 36, 60, 59], 167s [ 48, 61, 60], 167s [ 27, 39, 38], 167s [ 37, 38, 49], 167s [ 48, 37, 49], 167s [ 48, 36, 24], 167s [ 48, 49, 61], 167s [ 50, 61, 49], 167s [ 58, 57, 45], 167s [ 58, 45, 46], 167s [ 56, 57, 68], 167s [ 57, 56, 45], 167s [100, 92, 101], 167s [ 92, 102, 101], 167s [ 80, 93, 92], 167s [ 80, 81, 93], 167s [ 54, 65, 53], 167s [ 79, 68, 80], 167s [ 87, 103, 97], 167s [ 74, 86, 85], 167s [ 85, 95, 94], 167s [ 85, 86, 96], 167s [ 56, 44, 45], 167s [ 44, 56, 55], 167s [ 44, 33, 45], 167s [ 26, 27, 38], 167s [ 37, 26, 38], 167s [ 0, 1, 7], 167s [ 5, 108, 0], 167s [ 4, 5, 14], 167s [ 4, 14, 13], 167s [ 84, 71, 72], 167s [ 84, 83, 71], 167s [ 59, 72, 71], 167s [ 72, 61, 73], 167s [ 62, 50, 51], 167s [ 62, 61, 50], 167s [ 69, 81, 80], 167s [ 58, 70, 82], 167s [ 68, 69, 80], 167s [ 58, 82, 69], 167s [ 57, 69, 68], 167s [ 69, 57, 58], 167s [ 64, 52, 53], 167s [ 65, 64, 53], 167s [ 66, 54, 55], 167s [ 66, 78, 77], 167s [ 66, 65, 54], 167s [ 65, 66, 77], 167s [ 91, 92, 100], 167s [ 92, 91, 80], 167s [ 91, 79, 80], 167s [ 78, 89, 77], 167s [ 88, 89, 98], 167s [ 89, 88, 77], 167s [104, 88, 98], 167s [ 35, 22, 23], 167s [ 34, 33, 12], 167s [ 10, 11, 21], 167s [ 42, 54, 53], 167s [ 44, 32, 33], 167s [ 19, 3, 9], 167s [ 1, 2, 8], 167s [ 5, 6, 14], 167s [ 6, 5, 0], 167s [ 28, 29, 40], 167s [ 39, 28, 40], 167s [ 27, 28, 39], 167s [ 16, 28, 27], 167s [ 48, 24, 37], 167s [ 24, 25, 37], 167s [ 13, 14, 26], 167s [ 25, 26, 37], 167s [ 13, 26, 25], 167s [ 73, 74, 85], 167s [ 94, 72, 73], 167s [ 73, 85, 94], 167s [ 72, 60, 61], 167s [ 62, 73, 61], 167s [ 73, 62, 74], 167s [ 75, 86, 74], 167s [ 67, 56, 68], 167s [ 56, 67, 55], 167s [ 79, 67, 68], 167s [ 67, 79, 78], 167s [ 66, 67, 78], 167s [ 67, 66, 55], 167s [104, 103, 88], 167s [106, 99, 100], 167s [ 98, 99, 105], 167s [ 99, 91, 100], 167s [ 9, 10, 20], 167s [ 19, 18, 3], 167s [ 52, 41, 53], 167s [ 41, 52, 40], 167s [ 29, 41, 40], 167s [ 41, 42, 53], 167s [ 54, 43, 55], 167s [ 43, 44, 55], 167s [ 43, 42, 31], 167s [ 42, 43, 54], 167s [ 32, 43, 31], 167s [ 43, 32, 44], 167s [ 9, 20, 19], 167s [ 21, 11, 12], 167s [ 19, 20, 31], 167s [ 20, 32, 31], 167s [ 15, 16, 27], 167s [ 15, 26, 14], 167s [ 26, 15, 27], 167s [ 6, 15, 14], 167s [ 62, 63, 74], 167s [ 52, 63, 51], 167s [ 63, 62, 51], 167s [ 64, 63, 52], 167s [ 75, 63, 64], 167s [ 63, 75, 74], 167s [ 87, 88, 103], 167s [ 85, 96, 95], 167s [ 97, 86, 87], 167s [ 75, 87, 86], 167s [ 79, 90, 78], 167s [ 91, 90, 79], 167s [ 90, 89, 78], 167s [ 89, 90, 98], 167s [ 99, 90, 91], 167s [ 90, 99, 98], 167s [ 18, 8, 2], 167s [ 28, 17, 29], 167s [ 8, 17, 16], 167s [ 17, 28, 16], 167s [ 17, 18, 29], 167s [ 8, 18, 17], 167s [ 30, 19, 31], 167s [ 42, 30, 31], 167s [ 18, 30, 29], 167s [ 30, 18, 19], 167s [ 41, 30, 42], 167s [ 30, 41, 29], 167s [ 32, 21, 33], 167s [ 12, 33, 21], 167s [ 34, 12, 22], 167s [ 20, 21, 32], 167s [ 10, 21, 20], 167s [ 18, 2, 3], 167s [ 1, 8, 7], 167s [ 7, 8, 16], 167s [ 0, 7, 6], 167s [ 7, 15, 6], 167s [ 15, 7, 16], 167s [ 88, 76, 77], 167s [ 76, 65, 77], 167s [ 76, 64, 65], 167s [ 76, 75, 64], 167s [ 76, 87, 75], 167s [ 87, 76, 88]])), which will be an error in a future version of pytest. Did you mean to use `assert` instead of `return`? 167s warnings.warn( 167s 167s tests/test_union.py::test_union_circles 167s /usr/lib/python3/dist-packages/_pytest/python.py:163: PytestReturnNotNoneWarning: Expected None, but tests/test_union.py::test_union_circles returned (array([[-4.10390055e-11, -8.66025404e-01], 167s [ 8.98692232e-12, 8.66025404e-01], 167s [-8.05789647e-01, -9.52099098e-01], 167s [-6.60307167e-01, -9.87067177e-01], 167s [-5.02889235e-01, -9.99995826e-01], 167s [-3.37170240e-01, -9.86654179e-01], 167s [-1.68404349e-01, -9.43421605e-01], 167s [ 1.68404349e-01, -9.43421605e-01], 167s [ 3.37170240e-01, -9.86654179e-01], 167s [ 5.02889235e-01, -9.99995826e-01], 167s [ 6.60307167e-01, -9.87067177e-01], 167s [ 8.05789647e-01, -9.52099098e-01], 167s [-1.07113343e+00, -8.20857240e-01], 167s [-9.44886019e-01, -8.95587198e-01], 167s [-7.70903885e-01, -8.31972997e-01], 167s [-6.11872918e-01, -8.51906126e-01], 167s [-4.55626920e-01, -8.56277718e-01], 167s [-3.00301654e-01, -8.39675919e-01], 167s [-1.45133912e-01, -8.02760967e-01], 167s [-1.08769063e-11, -7.24147974e-01], 167s [ 1.45133912e-01, -8.02760967e-01], 167s [ 3.00301654e-01, -8.39675919e-01], 167s [ 4.55626920e-01, -8.56277718e-01], 167s [ 6.11872918e-01, -8.51906126e-01], 167s [ 7.70903885e-01, -8.31972997e-01], 167s [ 9.44886019e-01, -8.95587198e-01], 167s [ 1.07113343e+00, -8.20857240e-01], 167s [-1.19797300e+00, -7.16124080e-01], 167s [-1.03444874e+00, -6.89935877e-01], 167s [-8.89641215e-01, -7.34323994e-01], 167s [-7.12921941e-01, -7.05573226e-01], 167s [-5.54949352e-01, -7.11484390e-01], 167s [-4.03058069e-01, -7.06935215e-01], 167s [-2.54262430e-01, -6.86694738e-01], 167s [-1.09627923e-01, -6.47813905e-01], 167s [ 1.09627923e-01, -6.47813905e-01], 167s [ 2.54262430e-01, -6.86694738e-01], 167s [ 4.03058069e-01, -7.06935215e-01], 167s [ 5.54949352e-01, -7.11484390e-01], 167s [ 7.12921941e-01, -7.05573226e-01], 167s [ 8.89641215e-01, -7.34323994e-01], 167s [ 1.03444874e+00, -6.89935877e-01], 167s [ 1.19797300e+00, -7.16124080e-01], 167s [-1.38596165e+00, -4.63758512e-01], 167s [-1.30338733e+00, -5.95456793e-01], 167s [-1.13466011e+00, -5.70655872e-01], 167s [-9.57118192e-01, -5.70542994e-01], 167s [-8.05076747e-01, -5.83725138e-01], 167s [-6.39948997e-01, -5.68313405e-01], 167s [-4.83296745e-01, -5.65866835e-01], 167s [-3.29437861e-01, -5.54246825e-01], 167s [-1.75509310e-01, -5.29185882e-01], 167s [-2.89808108e-12, -5.40781849e-01], 167s [ 1.75509310e-01, -5.29185882e-01], 167s [ 3.29437861e-01, -5.54246825e-01], 167s [ 4.83296745e-01, -5.65866835e-01], 167s [ 6.39948997e-01, -5.68313405e-01], 167s [ 8.05076747e-01, -5.83725138e-01], 167s [ 9.57118192e-01, -5.70542994e-01], 167s [ 1.13466011e+00, -5.70655872e-01], 167s [ 1.30338733e+00, -5.95456793e-01], 167s [ 1.38596165e+00, -4.63758512e-01], 167s [-1.33005822e+00, -3.31530130e-01], 167s [-1.21268724e+00, -4.41309895e-01], 167s [-1.04237769e+00, -4.39823922e-01], 167s [-8.77299046e-01, -4.33933220e-01], 167s [-7.22509988e-01, -4.35316758e-01], 167s [-5.62639397e-01, -4.25849294e-01], 167s [-4.06423795e-01, -4.18791136e-01], 167s [-2.50300901e-01, -4.04457781e-01], 167s [-8.15993155e-02, -4.07445882e-01], 167s [ 8.15993155e-02, -4.07445882e-01], 167s [ 2.50300901e-01, -4.04457781e-01], 167s [ 4.06423795e-01, -4.18791136e-01], 167s [ 5.62639397e-01, -4.25849294e-01], 167s [ 7.22509988e-01, -4.35316758e-01], 167s [ 8.77299046e-01, -4.33933220e-01], 167s [ 1.04237769e+00, -4.39823922e-01], 167s [ 1.21268724e+00, -4.41309895e-01], 167s [ 1.33005822e+00, -3.31530130e-01], 167s [-1.45504367e+00, -2.96465171e-01], 167s [-1.21869992e+00, -2.69597240e-01], 167s [-1.09306515e+00, -3.01245444e-01], 167s [-9.44054566e-01, -2.94367193e-01], 167s [-7.91019460e-01, -2.89446904e-01], 167s [-6.38336562e-01, -2.88395909e-01], 167s [-4.81894826e-01, -2.81217652e-01], 167s [-3.25260088e-01, -2.73016950e-01], 167s [-1.61898711e-01, -2.73320344e-01], 167s [ 1.23839619e-12, -2.72500107e-01], 167s [ 1.61898711e-01, -2.73320344e-01], 167s [ 3.25260088e-01, -2.73016950e-01], 167s [ 4.81894826e-01, -2.81217652e-01], 167s [ 6.38336562e-01, -2.88395909e-01], 167s [ 7.91019460e-01, -2.89446904e-01], 167s [ 9.44054566e-01, -2.94367193e-01], 167s [ 1.09306515e+00, -3.01245444e-01], 167s [ 1.21869992e+00, -2.69597240e-01], 167s [ 1.45504367e+00, -2.96465171e-01], 167s [-1.48897233e+00, -1.48100402e-01], 167s [-1.33680520e+00, -1.56756678e-01], 167s [-1.17248583e+00, -1.34682410e-01], 167s [-1.02160877e+00, -1.51331981e-01], 167s [-8.68221501e-01, -1.45739198e-01], 167s [-7.13485962e-01, -1.44208019e-01], 167s [-5.59000639e-01, -1.43001491e-01], 167s [-4.01839220e-01, -1.37593048e-01], 167s [-2.41044597e-01, -1.37305719e-01], 167s [-8.04577567e-02, -1.36744513e-01], 167s [ 8.04577567e-02, -1.36744513e-01], 167s [ 2.41044597e-01, -1.37305719e-01], 167s [ 4.01839220e-01, -1.37593048e-01], 167s [ 5.59000639e-01, -1.43001491e-01], 167s [ 7.13485962e-01, -1.44208019e-01], 167s [ 8.68221501e-01, -1.45739198e-01], 167s [ 1.02160877e+00, -1.51331981e-01], 167s [ 1.17248583e+00, -1.34682410e-01], 167s [ 1.33680520e+00, -1.56756678e-01], 167s [ 1.48897233e+00, -1.48100402e-01], 167s [-1.50000000e+00, 7.97485898e-14], 167s [-1.37573832e+00, 2.52674964e-13], 167s [-1.24418806e+00, 3.70643793e-13], 167s [-1.08573549e+00, 4.58993954e-13], 167s [-9.40406323e-01, 7.53036522e-13], 167s [-7.88475566e-01, 1.05471604e-12], 167s [-6.34728732e-01, 1.48310808e-12], 167s [-4.79983619e-01, 1.25556232e-12], 167s [-3.20270375e-01, 7.48281992e-13], 167s [-1.60356392e-01, 4.17457735e-14], 167s [ 7.43588524e-13, -5.99885419e-13], 167s [ 1.60356392e-01, -1.19311228e-12], 167s [ 3.20270375e-01, -1.67150876e-12], 167s [ 4.79983619e-01, -1.95991556e-12], 167s [ 6.34728732e-01, -1.77661497e-12], 167s [ 7.88475566e-01, -1.18023091e-12], 167s [ 9.40406323e-01, -8.63717431e-13], 167s [ 1.08573549e+00, -5.54743751e-13], 167s [ 1.24418806e+00, -4.49330850e-13], 167s [ 1.37573832e+00, -3.21144500e-13], 167s [ 1.50000000e+00, -8.88665285e-14], 167s [-1.48897233e+00, 1.48100402e-01], 167s [-1.33680520e+00, 1.56756678e-01], 167s [-1.17248583e+00, 1.34682410e-01], 167s [-1.02160877e+00, 1.51331981e-01], 167s [-8.68221501e-01, 1.45739198e-01], 167s [-7.13485962e-01, 1.44208019e-01], 167s [-5.59000639e-01, 1.43001491e-01], 167s [-4.01839220e-01, 1.37593048e-01], 167s [-2.41044597e-01, 1.37305719e-01], 167s [-8.04577567e-02, 1.36744513e-01], 167s [ 8.04577567e-02, 1.36744513e-01], 167s [ 2.41044597e-01, 1.37305719e-01], 167s [ 4.01839220e-01, 1.37593048e-01], 167s [ 5.59000639e-01, 1.43001491e-01], 167s [ 7.13485962e-01, 1.44208019e-01], 167s [ 8.68221501e-01, 1.45739198e-01], 167s [ 1.02160877e+00, 1.51331981e-01], 167s [ 1.17248583e+00, 1.34682410e-01], 167s [ 1.33680520e+00, 1.56756678e-01], 167s [ 1.48897233e+00, 1.48100402e-01], 167s [-1.45504367e+00, 2.96465171e-01], 167s [-1.21869992e+00, 2.69597240e-01], 167s [-1.09306515e+00, 3.01245444e-01], 167s [-9.44054566e-01, 2.94367193e-01], 167s [-7.91019460e-01, 2.89446904e-01], 167s [-6.38336562e-01, 2.88395909e-01], 167s [-4.81894826e-01, 2.81217652e-01], 167s [-3.25260088e-01, 2.73016950e-01], 167s [-1.61898711e-01, 2.73320344e-01], 167s [ 1.40774198e-13, 2.72500107e-01], 167s [ 1.61898711e-01, 2.73320344e-01], 167s [ 3.25260088e-01, 2.73016950e-01], 167s [ 4.81894826e-01, 2.81217652e-01], 167s [ 6.38336562e-01, 2.88395909e-01], 167s [ 7.91019460e-01, 2.89446904e-01], 167s [ 9.44054566e-01, 2.94367193e-01], 167s [ 1.09306515e+00, 3.01245444e-01], 167s [ 1.21869992e+00, 2.69597240e-01], 167s [ 1.45504367e+00, 2.96465171e-01], 167s [-1.33005822e+00, 3.31530130e-01], 167s [-1.21268724e+00, 4.41309895e-01], 167s [-1.04237769e+00, 4.39823922e-01], 167s [-8.77299046e-01, 4.33933220e-01], 167s [-7.22509988e-01, 4.35316758e-01], 167s [-5.62639397e-01, 4.25849294e-01], 167s [-4.06423795e-01, 4.18791136e-01], 167s [-2.50300901e-01, 4.04457781e-01], 167s [-8.15993155e-02, 4.07445882e-01], 167s [ 8.15993155e-02, 4.07445882e-01], 167s [ 2.50300901e-01, 4.04457781e-01], 167s [ 4.06423795e-01, 4.18791136e-01], 167s [ 5.62639397e-01, 4.25849294e-01], 167s [ 7.22509988e-01, 4.35316758e-01], 167s [ 8.77299046e-01, 4.33933220e-01], 167s [ 1.04237769e+00, 4.39823922e-01], 167s [ 1.21268724e+00, 4.41309895e-01], 167s [ 1.33005822e+00, 3.31530130e-01], 167s [-1.38596165e+00, 4.63758512e-01], 167s [-1.30338733e+00, 5.95456793e-01], 167s [-1.13466011e+00, 5.70655872e-01], 167s [-9.57118192e-01, 5.70542994e-01], 167s [-8.05076747e-01, 5.83725138e-01], 167s [-6.39948997e-01, 5.68313405e-01], 167s [-4.83296745e-01, 5.65866835e-01], 167s [-3.29437861e-01, 5.54246825e-01], 167s [-1.75509310e-01, 5.29185882e-01], 167s [ 7.64960317e-13, 5.40781849e-01], 167s [ 1.75509310e-01, 5.29185882e-01], 167s [ 3.29437861e-01, 5.54246825e-01], 167s [ 4.83296745e-01, 5.65866835e-01], 167s [ 6.39948997e-01, 5.68313405e-01], 167s [ 8.05076747e-01, 5.83725138e-01], 167s [ 9.57118192e-01, 5.70542994e-01], 167s [ 1.13466011e+00, 5.70655872e-01], 167s [ 1.30338733e+00, 5.95456793e-01], 167s [ 1.38596165e+00, 4.63758512e-01], 167s [-1.19797300e+00, 7.16124080e-01], 167s [-1.03444874e+00, 6.89935877e-01], 167s [-8.89641215e-01, 7.34323994e-01], 167s [-7.12921941e-01, 7.05573226e-01], 167s [-5.54949352e-01, 7.11484390e-01], 167s [-4.03058069e-01, 7.06935215e-01], 167s [-2.54262430e-01, 6.86694738e-01], 167s [-1.09627923e-01, 6.47813905e-01], 167s [ 1.09627923e-01, 6.47813905e-01], 167s [ 2.54262430e-01, 6.86694738e-01], 167s [ 4.03058069e-01, 7.06935215e-01], 167s [ 5.54949352e-01, 7.11484390e-01], 167s [ 7.12921941e-01, 7.05573226e-01], 167s [ 8.89641215e-01, 7.34323994e-01], 167s [ 1.03444874e+00, 6.89935877e-01], 167s [ 1.19797300e+00, 7.16124080e-01], 167s [-1.07113343e+00, 8.20857240e-01], 167s [-9.44886019e-01, 8.95587198e-01], 167s [-7.70903885e-01, 8.31972997e-01], 167s [-6.11872918e-01, 8.51906126e-01], 167s [-4.55626920e-01, 8.56277718e-01], 167s [-3.00301654e-01, 8.39675919e-01], 167s [-1.45133912e-01, 8.02760967e-01], 167s [ 2.39608541e-12, 7.24147974e-01], 167s [ 1.45133912e-01, 8.02760967e-01], 167s [ 3.00301654e-01, 8.39675919e-01], 167s [ 4.55626920e-01, 8.56277718e-01], 167s [ 6.11872918e-01, 8.51906126e-01], 167s [ 7.70903885e-01, 8.31972997e-01], 167s [ 9.44886019e-01, 8.95587198e-01], 167s [ 1.07113343e+00, 8.20857240e-01], 167s [-8.05789647e-01, 9.52099098e-01], 167s [-6.60307167e-01, 9.87067177e-01], 167s [-5.02889235e-01, 9.99995826e-01], 167s [-3.37170240e-01, 9.86654179e-01], 167s [-1.68404349e-01, 9.43421605e-01], 167s [ 1.68404349e-01, 9.43421605e-01], 167s [ 3.37170240e-01, 9.86654179e-01], 167s [ 5.02889235e-01, 9.99995826e-01], 167s [ 6.60307167e-01, 9.87067177e-01], 167s [ 8.05789647e-01, 9.52099098e-01]]), array([[ 99, 120, 119], 167s [120, 140, 119], 167s [244, 256, 255], 167s ..., 167s [206, 187, 188], 167s [187, 169, 188], 167s [169, 187, 168]], shape=(460, 3))), which will be an error in a future version of pytest. Did you mean to use `assert` instead of `return`? 167s warnings.warn( 167s 167s tests/test_union.py::test_union_rectangles 167s /usr/lib/python3/dist-packages/_pytest/python.py:163: PytestReturnNotNoneWarning: Expected None, but tests/test_union.py::test_union_rectangles returned (array([[-1.00000000e+00, -1.00000000e+00], 167s [ 5.00000000e-01, -1.00000000e+00], 167s [-1.00000000e+00, 5.00000000e-01], 167s [ 1.00000000e+00, -5.00000000e-01], 167s [ 1.00000000e+00, 1.00000000e+00], 167s [-5.00000000e-01, 1.00000000e+00], 167s [-5.00000000e-01, 5.00000000e-01], 167s [ 5.00000000e-01, -5.00000000e-01], 167s [-8.49719653e-01, -1.00000000e+00], 167s [-6.91588370e-01, -1.00000000e+00], 167s [-5.38499523e-01, -1.00000000e+00], 167s [-3.85518302e-01, -1.00000000e+00], 167s [-2.32500625e-01, -1.00000000e+00], 167s [-7.97206782e-02, -1.00000000e+00], 167s [ 7.19029856e-02, -1.00000000e+00], 167s [ 2.20118135e-01, -1.00000000e+00], 167s [ 3.66872961e-01, -1.00000000e+00], 167s [-8.70407693e-01, -8.34984531e-01], 167s [-7.45046813e-01, -8.59022967e-01], 167s [-6.04099608e-01, -8.49697154e-01], 167s [-4.57571750e-01, -8.51216256e-01], 167s [-3.05888896e-01, -8.52376145e-01], 167s [-1.50842394e-01, -8.53280034e-01], 167s [ 6.80947771e-03, -8.53806223e-01], 167s [ 1.66590241e-01, -8.52872667e-01], 167s [ 3.28746425e-01, -8.61523848e-01], 167s [ 5.00000000e-01, -8.38535946e-01], 167s [-8.65511688e-01, -6.83715939e-01], 167s [-7.14644980e-01, -7.09031477e-01], 167s [-5.53880820e-01, -7.03426783e-01], 167s [-3.94767493e-01, -7.05702026e-01], 167s [-2.35565963e-01, -7.07836904e-01], 167s [-7.60180593e-02, -7.09572178e-01], 167s [ 8.28743506e-02, -7.09697058e-01], 167s [ 2.39626537e-01, -7.08608859e-01], 167s [ 3.83461729e-01, -7.24658374e-01], 167s [-1.00000000e+00, -5.54035017e-01], 167s [-8.12062107e-01, -5.59769236e-01], 167s [-6.47448698e-01, -5.64479993e-01], 167s [-4.82549196e-01, -5.62165896e-01], 167s [-3.19750715e-01, -5.64248144e-01], 167s [-1.56466578e-01, -5.66950931e-01], 167s [ 7.46063518e-03, -5.68174876e-01], 167s [ 1.73406078e-01, -5.67932819e-01], 167s [ 3.43445883e-01, -5.66341799e-01], 167s [ 5.00000000e-01, -6.57648279e-01], 167s [-8.75457107e-01, -4.33763451e-01], 167s [-7.19743186e-01, -4.19386770e-01], 167s [-5.63796458e-01, -4.20581751e-01], 167s [-4.03378424e-01, -4.21148634e-01], 167s [-2.40756796e-01, -4.24981036e-01], 167s [-7.84462746e-02, -4.27024459e-01], 167s [ 8.30041926e-02, -4.27819822e-01], 167s [ 2.43028384e-01, -4.27515094e-01], 167s [ 3.92882078e-01, -4.03865077e-01], 167s [ 5.69860847e-01, -3.81678004e-01], 167s [ 6.75179547e-01, -5.00000000e-01], 167s [ 8.43726027e-01, -5.00000000e-01], 167s [ 1.00000000e+00, -3.66113550e-01], 167s [-1.00000000e+00, -2.46742462e-01], 167s [-8.29349463e-01, -2.89338616e-01], 167s [-6.58439784e-01, -2.77414730e-01], 167s [-4.93349604e-01, -2.78658007e-01], 167s [-3.26547698e-01, -2.83492014e-01], 167s [-1.62557667e-01, -2.85377063e-01], 167s [-1.12681197e-03, -2.85451839e-01], 167s [ 1.57853112e-01, -2.84156419e-01], 167s [ 3.11533222e-01, -2.71254570e-01], 167s [ 4.71906195e-01, -2.62770152e-01], 167s [ 6.37739544e-01, -2.53781364e-01], 167s [ 7.39308122e-01, -3.61425677e-01], 167s [ 8.59523860e-01, -3.14764093e-01], 167s [-8.72966000e-01, -1.47337751e-01], 167s [-7.29525767e-01, -1.37163661e-01], 167s [-5.74265878e-01, -1.34569681e-01], 167s [-4.07924503e-01, -1.44071275e-01], 167s [-2.43076575e-01, -1.45165017e-01], 167s [-8.08880867e-02, -1.43952736e-01], 167s [ 7.91343775e-02, -1.41535113e-01], 167s [ 2.37430148e-01, -1.34062102e-01], 167s [ 3.99845415e-01, -1.28175712e-01], 167s [ 5.66475391e-01, -1.25204646e-01], 167s [ 7.41597581e-01, -1.64233859e-01], 167s [ 8.72785911e-01, -1.52755039e-01], 167s [ 1.00000000e+00, -2.16877621e-01], 167s [-1.00000000e+00, 5.80631039e-02], 167s [-8.34997314e-01, 3.93488258e-03], 167s [-6.70773743e-01, 1.09694077e-02], 167s [-4.93265689e-01, -6.65945588e-03], 167s [-3.24552742e-01, -7.37300063e-03], 167s [-1.60593079e-01, -4.11507696e-03], 167s [-1.80411242e-17, -1.24900090e-17], 167s [ 1.60593079e-01, 4.11507696e-03], 167s [ 3.24552742e-01, 7.37300063e-03], 167s [ 4.93265689e-01, 6.65945588e-03], 167s [ 6.70773743e-01, -1.09694077e-02], 167s [ 8.34997314e-01, -3.93488258e-03], 167s [ 1.00000000e+00, -5.80631039e-02], 167s [-8.72785911e-01, 1.52755039e-01], 167s [-7.41597581e-01, 1.64233859e-01], 167s [-5.66475391e-01, 1.25204646e-01], 167s [-3.99845415e-01, 1.28175712e-01], 167s [-2.37430148e-01, 1.34062102e-01], 167s [-7.91343775e-02, 1.41535113e-01], 167s [ 8.08880867e-02, 1.43952736e-01], 167s [ 2.43076575e-01, 1.45165017e-01], 167s [ 4.07924503e-01, 1.44071275e-01], 167s [ 5.74265878e-01, 1.34569681e-01], 167s [ 7.29525767e-01, 1.37163661e-01], 167s [ 8.72966000e-01, 1.47337751e-01], 167s [ 1.00000000e+00, 8.48924979e-02], 167s [-8.59523860e-01, 3.14764093e-01], 167s [-7.39308122e-01, 3.61425677e-01], 167s [-6.37739544e-01, 2.53781364e-01], 167s [-4.71906195e-01, 2.62770152e-01], 167s [-3.11533222e-01, 2.71254570e-01], 167s [-1.57853112e-01, 2.84156419e-01], 167s [ 1.12681197e-03, 2.85451839e-01], 167s [ 1.62557667e-01, 2.85377063e-01], 167s [ 3.26547698e-01, 2.83492014e-01], 167s [ 4.93349604e-01, 2.78658007e-01], 167s [ 6.58439784e-01, 2.77414730e-01], 167s [ 8.29349463e-01, 2.89338616e-01], 167s [ 1.00000000e+00, 2.46742462e-01], 167s [-8.43726027e-01, 5.00000000e-01], 167s [-6.75179547e-01, 5.00000000e-01], 167s [-5.69860847e-01, 3.81678004e-01], 167s [-3.92882078e-01, 4.03865077e-01], 167s [-2.43028384e-01, 4.27515094e-01], 167s [-8.30041926e-02, 4.27819822e-01], 167s [ 7.84462746e-02, 4.27024459e-01], 167s [ 2.40756796e-01, 4.24981036e-01], 167s [ 4.03378424e-01, 4.21148634e-01], 167s [ 5.63796458e-01, 4.20581751e-01], 167s [ 7.19743186e-01, 4.19386770e-01], 167s [ 8.75457107e-01, 4.33763451e-01], 167s [ 1.00000000e+00, 3.90958715e-01], 167s [-5.00000000e-01, 6.57648279e-01], 167s [-3.43445883e-01, 5.66341799e-01], 167s [-1.73406078e-01, 5.67932819e-01], 167s [-7.46063518e-03, 5.68174876e-01], 167s [ 1.56466578e-01, 5.66950931e-01], 167s [ 3.19750715e-01, 5.64248144e-01], 167s [ 4.82549196e-01, 5.62165896e-01], 167s [ 6.47448698e-01, 5.64479993e-01], 167s [ 8.12062107e-01, 5.59769236e-01], 167s [ 1.00000000e+00, 5.54035017e-01], 167s [-3.83461729e-01, 7.24658374e-01], 167s [-2.39626537e-01, 7.08608859e-01], 167s [-8.28743506e-02, 7.09697058e-01], 167s [ 7.60180593e-02, 7.09572178e-01], 167s [ 2.35565963e-01, 7.07836904e-01], 167s [ 3.94767493e-01, 7.05702026e-01], 167s [ 5.53880820e-01, 7.03426783e-01], 167s [ 7.14644980e-01, 7.09031477e-01], 167s [ 8.65511688e-01, 6.83715939e-01], 167s [ 1.00000000e+00, 7.07439666e-01], 167s [-5.00000000e-01, 8.38535946e-01], 167s [-3.28746425e-01, 8.61523848e-01], 167s [-1.66590241e-01, 8.52872667e-01], 167s [-6.80947771e-03, 8.53806223e-01], 167s [ 1.50842394e-01, 8.53280034e-01], 167s [ 3.05888896e-01, 8.52376145e-01], 167s [ 4.57571750e-01, 8.51216256e-01], 167s [ 6.04099608e-01, 8.49697154e-01], 167s [ 7.45046813e-01, 8.59022967e-01], 167s [ 8.70407693e-01, 8.34984531e-01], 167s [-3.66872961e-01, 1.00000000e+00], 167s [-2.20118135e-01, 1.00000000e+00], 167s [-7.19029856e-02, 1.00000000e+00], 167s [ 7.97206782e-02, 1.00000000e+00], 167s [ 2.32500625e-01, 1.00000000e+00], 167s [ 3.85518302e-01, 1.00000000e+00], 167s [ 5.38499523e-01, 1.00000000e+00], 167s [ 6.91588370e-01, 1.00000000e+00], 167s [ 8.49719653e-01, 1.00000000e+00], 167s [ 1.00000000e+00, 8.59678378e-01], 167s [-1.00000000e+00, -8.59678378e-01], 167s [-1.00000000e+00, -7.07439666e-01], 167s [-1.00000000e+00, -3.90958715e-01], 167s [-1.00000000e+00, -8.48924979e-02], 167s [-1.00000000e+00, 2.16877621e-01], 167s [-1.00000000e+00, 3.66113550e-01]]), array([[ 15, 24, 14], 167s [ 24, 15, 25], 167s [175, 176, 4], 167s [ 8, 177, 0], 167s [ 72, 59, 60], 167s [ 59, 72, 180], 167s [ 86, 85, 180], 167s [ 86, 180, 72], 167s [ 98, 85, 86], 167s [ 98, 86, 99], 167s [ 85, 98, 181], 167s [ 37, 28, 38], 167s [ 60, 59, 179], 167s [ 60, 179, 46], 167s [ 28, 29, 38], 167s [ 12, 21, 11], 167s [ 21, 20, 11], 167s [ 20, 10, 11], 167s [164, 173, 163], 167s [173, 164, 174], 167s [ 15, 16, 25], 167s [ 26, 16, 1], 167s [ 16, 26, 25], 167s [123, 109, 110], 167s [109, 123, 122], 167s [110, 109, 96], 167s [110, 96, 97], 167s [134, 121, 122], 167s [ 76, 75, 63], 167s [ 49, 50, 63], 167s [ 50, 49, 40], 167s [182, 124, 2], 167s [124, 112, 125], 167s [ 99, 112, 111], 167s [ 93, 106, 105], 167s [106, 93, 94], 167s [ 66, 79, 78], 167s [ 52, 51, 42], 167s [ 34, 24, 25], 167s [ 34, 33, 24], 167s [ 27, 28, 37], 167s [ 47, 37, 38], 167s [ 48, 47, 38], 167s [ 47, 61, 60], 167s [ 47, 48, 61], 167s [ 46, 47, 60], 167s [ 47, 46, 37], 167s [ 29, 19, 20], 167s [ 19, 29, 28], 167s [ 19, 10, 20], 167s [ 10, 19, 9], 167s [ 95, 82, 96], 167s [ 93, 80, 94], 167s [ 80, 93, 79], 167s [ 70, 55, 56], 167s [ 55, 68, 54], 167s [ 68, 55, 69], 167s [146, 135, 136], 167s [122, 123, 136], 167s [122, 136, 135], 167s [135, 134, 122], 167s [143, 133, 144], 167s [121, 133, 120], 167s [134, 133, 121], 167s [133, 134, 144], 167s [ 77, 78, 91], 167s [ 77, 90, 76], 167s [ 90, 77, 91], 167s [ 86, 87, 99], 167s [ 48, 62, 61], 167s [ 75, 62, 63], 167s [ 49, 62, 48], 167s [ 62, 49, 63], 167s [ 39, 48, 38], 167s [ 29, 39, 38], 167s [ 49, 39, 40], 167s [ 39, 49, 48], 167s [157, 167, 5], 167s [167, 157, 158], 167s [168, 167, 158], 167s [157, 147, 158], 167s [147, 157, 137], 167s [138, 147, 137], 167s [126, 6, 125], 167s [128, 129, 139], 167s [138, 128, 139], 167s [103, 90, 91], 167s [ 90, 103, 102], 167s [104, 103, 91], 167s [ 79, 92, 78], 167s [ 78, 92, 91], 167s [ 92, 93, 105], 167s [ 93, 92, 79], 167s [104, 92, 105], 167s [ 92, 104, 91], 167s [118, 104, 105], 167s [118, 131, 130], 167s [131, 141, 130], 167s [141, 131, 142], 167s [173, 172, 163], 167s [172, 162, 163], 167s [162, 172, 171], 167s [143, 152, 142], 167s [162, 152, 163], 167s [161, 162, 171], 167s [170, 161, 171], 167s [168, 159, 169], 167s [159, 168, 158], 167s [126, 125, 112], 167s [126, 113, 114], 167s [126, 112, 113], 167s [113, 112, 99], 167s [111, 182, 181], 167s [ 98, 111, 181], 167s [182, 111, 124], 167s [ 99, 111, 98], 167s [111, 112, 124], 167s [ 53, 66, 52], 167s [ 35, 26, 45], 167s [ 26, 35, 25], 167s [ 35, 34, 25], 167s [ 36, 46, 179], 167s [ 46, 36, 37], 167s [ 27, 36, 178], 167s [ 36, 27, 37], 167s [ 17, 27, 178], 167s [ 8, 17, 177], 167s [ 17, 178, 177], 167s [ 23, 13, 14], 167s [ 24, 23, 14], 167s [ 33, 23, 24], 167s [ 41, 50, 40], 167s [ 51, 41, 42], 167s [ 41, 51, 50], 167s [ 31, 41, 40], 167s [176, 166, 156], 167s [166, 176, 175], 167s [109, 108, 96], 167s [108, 109, 122], 167s [121, 108, 122], 167s [108, 95, 96], 167s [ 58, 57, 3], 167s [ 97, 83, 84], 167s [ 83, 97, 96], 167s [ 82, 83, 96], 167s [ 81, 95, 94], 167s [ 81, 68, 69], 167s [ 82, 81, 69], 167s [ 95, 81, 82], 167s [ 80, 81, 94], 167s [ 81, 80, 68], 167s [ 44, 7, 54], 167s [ 7, 55, 54], 167s [ 55, 7, 56], 167s [134, 145, 144], 167s [145, 154, 144], 167s [135, 145, 134], 167s [145, 135, 146], 167s [131, 132, 142], 167s [132, 143, 142], 167s [132, 133, 143], 167s [133, 132, 120], 167s [ 51, 64, 50], 167s [ 64, 76, 63], 167s [ 50, 64, 63], 167s [ 64, 77, 76], 167s [ 61, 73, 60], 167s [ 73, 72, 60], 167s [ 72, 73, 86], 167s [ 73, 87, 86], 167s [ 30, 31, 40], 167s [ 30, 29, 20], 167s [ 21, 30, 20], 167s [ 31, 30, 21], 167s [ 30, 39, 29], 167s [ 39, 30, 40], 167s [129, 117, 130], 167s [117, 103, 104], 167s [118, 117, 104], 167s [117, 118, 130], 167s [129, 140, 139], 167s [140, 149, 139], 167s [140, 129, 130], 167s [149, 140, 150], 167s [140, 141, 150], 167s [141, 140, 130], 167s [153, 154, 164], 167s [153, 143, 144], 167s [153, 164, 163], 167s [154, 153, 144], 167s [153, 152, 143], 167s [152, 153, 163], 167s [152, 151, 142], 167s [151, 141, 142], 167s [141, 151, 150], 167s [151, 152, 162], 167s [161, 151, 162], 167s [151, 161, 150], 167s [149, 148, 139], 167s [148, 138, 139], 167s [147, 148, 158], 167s [148, 147, 138], 167s [159, 148, 149], 167s [148, 159, 158], 167s [161, 160, 150], 167s [160, 149, 150], 167s [160, 170, 169], 167s [160, 161, 170], 167s [159, 160, 169], 167s [160, 159, 149], 167s [ 33, 43, 42], 167s [ 43, 52, 42], 167s [ 43, 33, 34], 167s [ 43, 53, 52], 167s [ 67, 80, 79], 167s [ 68, 67, 54], 167s [ 66, 67, 79], 167s [ 80, 67, 68], 167s [ 53, 67, 66], 167s [ 67, 53, 54], 167s [ 17, 28, 27], 167s [ 19, 18, 9], 167s [ 18, 8, 9], 167s [ 18, 19, 28], 167s [ 17, 18, 28], 167s [ 18, 17, 8], 167s [ 22, 31, 21], 167s [ 13, 22, 12], 167s [ 22, 21, 12], 167s [ 23, 22, 13], 167s [164, 165, 174], 167s [165, 175, 174], 167s [154, 165, 164], 167s [165, 166, 175], 167s [107, 121, 120], 167s [107, 106, 94], 167s [106, 107, 120], 167s [ 95, 107, 94], 167s [108, 107, 95], 167s [107, 108, 121], 167s [ 70, 69, 55], 167s [ 70, 82, 69], 167s [ 57, 70, 56], 167s [ 82, 70, 71], 167s [106, 119, 105], 167s [119, 118, 105], 167s [119, 106, 120], 167s [118, 119, 131], 167s [119, 132, 131], 167s [132, 119, 120], 167s [ 66, 65, 52], 167s [ 65, 66, 78], 167s [ 65, 51, 52], 167s [ 77, 65, 78], 167s [ 64, 65, 77], 167s [ 65, 64, 51], 167s [ 90, 89, 76], 167s [ 89, 90, 102], 167s [ 89, 75, 76], 167s [ 89, 88, 75], 167s [ 74, 73, 61], 167s [ 62, 74, 61], 167s [ 74, 62, 75], 167s [ 73, 74, 87], 167s [ 74, 88, 87], 167s [ 88, 74, 75], 167s [100, 113, 99], 167s [ 87, 100, 99], 167s [113, 100, 114], 167s [ 88, 100, 87], 167s [ 6, 138, 137], 167s [127, 126, 114], 167s [127, 128, 138], 167s [115, 127, 114], 167s [127, 115, 128], 167s [ 6, 127, 138], 167s [127, 6, 126], 167s [128, 116, 129], 167s [103, 116, 102], 167s [116, 115, 102], 167s [115, 116, 128], 167s [117, 116, 103], 167s [116, 117, 129], 167s [ 53, 44, 54], 167s [ 44, 35, 45], 167s [ 44, 45, 7], 167s [ 35, 44, 34], 167s [ 43, 44, 53], 167s [ 44, 43, 34], 167s [ 32, 33, 42], 167s [ 32, 23, 33], 167s [ 41, 32, 42], 167s [ 32, 41, 31], 167s [ 32, 22, 23], 167s [ 22, 32, 31], 167s [166, 155, 156], 167s [155, 145, 146], 167s [155, 146, 156], 167s [145, 155, 154], 167s [166, 165, 154], 167s [166, 154, 155], 167s [ 83, 71, 84], 167s [ 71, 58, 84], 167s [ 58, 71, 57], 167s [ 82, 71, 83], 167s [ 71, 70, 57], 167s [115, 101, 102], 167s [101, 89, 102], 167s [101, 115, 114], 167s [ 89, 101, 88], 167s [101, 100, 88], 167s [100, 101, 114]])), which will be an error in a future version of pytest. Did you mean to use `assert` instead of `return`? 167s warnings.warn( 167s 167s tests/test_union.py::test_union_three_circles 167s /usr/lib/python3/dist-packages/_pytest/python.py:163: PytestReturnNotNoneWarning: Expected None, but tests/test_union.py::test_union_three_circles returned (array([[-8.66025404e-01, 5.00000000e-01], 167s [-2.22044605e-16, -1.00000000e+00], 167s [-1.22464680e-16, 0.00000000e+00], 167s [ 8.66025404e-01, 5.00000000e-01], 167s [-9.38024920e-01, -1.49740467e+00], 167s [-7.29348228e-01, -1.49061564e+00], 167s [ 7.29348228e-01, -1.49061564e+00], 167s [ 9.38024920e-01, -1.49740467e+00], 167s [-1.31811992e+00, -1.39197004e+00], 167s [-1.13713721e+00, -1.46254786e+00], 167s [-9.20504776e-01, -1.33606833e+00], 167s [-6.99685911e-01, -1.32758063e+00], 167s [-5.05371169e-01, -1.43269959e+00], 167s [-3.10480830e-01, -1.33148676e+00], 167s [ 3.10480830e-01, -1.33148676e+00], 167s [ 5.05371169e-01, -1.43269959e+00], 167s [ 6.99685911e-01, -1.32758063e+00], 167s [ 9.20504776e-01, -1.33606833e+00], 167s [ 1.13713721e+00, -1.46254786e+00], 167s [ 1.31811992e+00, -1.39197004e+00], 167s [-1.62687979e+00, -1.14892265e+00], 167s [-1.48936977e+00, -1.28194744e+00], 167s [-1.26270523e+00, -1.22478435e+00], 167s [-1.07150729e+00, -1.23240979e+00], 167s [-8.36582941e-01, -1.16784038e+00], 167s [-6.02203013e-01, -1.19083689e+00], 167s [-4.17810127e-01, -1.20801259e+00], 167s [-1.49456461e-01, -1.19751627e+00], 167s [ 1.49456461e-01, -1.19751627e+00], 167s [ 4.17810127e-01, -1.20801259e+00], 167s [ 6.02203013e-01, -1.19083689e+00], 167s [ 8.36582941e-01, -1.16784038e+00], 167s [ 1.07150729e+00, -1.23240979e+00], 167s [ 1.26270523e+00, -1.22478435e+00], 167s [ 1.48936977e+00, -1.28194744e+00], 167s [ 1.62687979e+00, -1.14892265e+00], 167s [-1.74949790e+00, -9.68483035e-01], 167s [-1.54501780e+00, -9.82304233e-01], 167s [-1.38562938e+00, -1.06739782e+00], 167s [-1.17123610e+00, -1.03197881e+00], 167s [-9.69589172e-01, -1.02458083e+00], 167s [-7.38992748e-01, -1.00524062e+00], 167s [-5.33330367e-01, -1.00332365e+00], 167s [-3.33341385e-01, -1.03762966e+00], 167s [-1.65548834e-01, -9.97114127e-01], 167s [ 1.65548834e-01, -9.97114127e-01], 167s [ 3.33341385e-01, -1.03762966e+00], 167s [ 5.33330367e-01, -1.00332365e+00], 167s [ 7.38992748e-01, -1.00524062e+00], 167s [ 9.69589172e-01, -1.02458083e+00], 167s [ 1.17123610e+00, -1.03197881e+00], 167s [ 1.38562938e+00, -1.06739782e+00], 167s [ 1.54501780e+00, -9.82304233e-01], 167s [ 1.74949790e+00, -9.68483035e-01], 167s [-1.82751378e+00, -7.74845596e-01], 167s [-1.62550700e+00, -7.86105199e-01], 167s [-1.43541901e+00, -8.23811542e-01], 167s [-1.27031064e+00, -8.54003439e-01], 167s [-1.06780423e+00, -8.32022353e-01], 167s [-8.58366180e-01, -8.34172597e-01], 167s [-6.39673054e-01, -8.19242590e-01], 167s [-4.20683221e-01, -8.33185222e-01], 167s [-2.16041101e-01, -8.18935887e-01], 167s [ 7.61193886e-13, -8.11556978e-01], 167s [ 2.16041101e-01, -8.18935887e-01], 167s [ 4.20683221e-01, -8.33185222e-01], 167s [ 6.39673054e-01, -8.19242590e-01], 167s [ 8.58366180e-01, -8.34172597e-01], 167s [ 1.06780423e+00, -8.32022353e-01], 167s [ 1.27031064e+00, -8.54003439e-01], 167s [ 1.43541901e+00, -8.23811542e-01], 167s [ 1.62550700e+00, -7.86105199e-01], 167s [ 1.82751378e+00, -7.74845596e-01], 167s [-1.86251027e+00, -5.83772938e-01], 167s [-1.64222637e+00, -6.08346508e-01], 167s [-1.41821445e+00, -6.36724527e-01], 167s [-1.20015763e+00, -6.51671504e-01], 167s [-9.76121038e-01, -6.46226830e-01], 167s [-7.58634785e-01, -6.45255108e-01], 167s [-5.37655165e-01, -6.42972869e-01], 167s [-3.29052512e-01, -6.42956133e-01], 167s [-1.09204913e-01, -6.35379354e-01], 167s [ 1.09204913e-01, -6.35379354e-01], 167s [ 3.29052512e-01, -6.42956133e-01], 167s [ 5.37655165e-01, -6.42972869e-01], 167s [ 7.58634785e-01, -6.45255108e-01], 167s [ 9.76121038e-01, -6.46226830e-01], 167s [ 1.20015763e+00, -6.51671504e-01], 167s [ 1.41821445e+00, -6.36724527e-01], 167s [ 1.64222637e+00, -6.08346508e-01], 167s [ 1.86251027e+00, -5.83772938e-01], 167s [-1.85939340e+00, -3.85021653e-01], 167s [-1.68964477e+00, -4.15185376e-01], 167s [-1.49629885e+00, -4.36845989e-01], 167s [-1.29284683e+00, -4.54012756e-01], 167s [-1.08278198e+00, -4.64145712e-01], 167s [-8.64743598e-01, -4.62609855e-01], 167s [-6.49481453e-01, -4.61238028e-01], 167s [-4.36243589e-01, -4.54916118e-01], 167s [-2.25520663e-01, -4.65847930e-01], 167s [ 1.17272858e-12, -4.55262403e-01], 167s [ 2.25520663e-01, -4.65847930e-01], 167s [ 4.36243589e-01, -4.54916118e-01], 167s [ 6.49481453e-01, -4.61238028e-01], 167s [ 8.64743598e-01, -4.62609855e-01], 167s [ 1.08278198e+00, -4.64145712e-01], 167s [ 1.29284683e+00, -4.54012756e-01], 167s [ 1.49629885e+00, -4.36845989e-01], 167s [ 1.68964477e+00, -4.15185376e-01], 167s [ 1.85939340e+00, -3.85021653e-01], 167s [-1.81839934e+00, -1.95067402e-01], 167s [-1.62122878e+00, -2.28930348e-01], 167s [-1.40995021e+00, -2.53198215e-01], 167s [-1.19219867e+00, -2.71907277e-01], 167s [-9.72814812e-01, -2.81720889e-01], 167s [-7.57209186e-01, -2.76812469e-01], 167s [-5.43766327e-01, -2.72957470e-01], 167s [-3.28331642e-01, -2.71042376e-01], 167s [-1.25961403e-01, -2.93901132e-01], 167s [ 1.25961403e-01, -2.93901132e-01], 167s [ 3.28331642e-01, -2.71042376e-01], 167s [ 5.43766327e-01, -2.72957470e-01], 167s [ 7.57209186e-01, -2.76812469e-01], 167s [ 9.72814812e-01, -2.81720889e-01], 167s [ 1.19219867e+00, -2.71907277e-01], 167s [ 1.40995021e+00, -2.53198215e-01], 167s [ 1.62122878e+00, -2.28930348e-01], 167s [ 1.81839934e+00, -1.95067402e-01], 167s [-1.73789905e+00, -1.02691076e-02], 167s [-1.52934087e+00, -5.55325951e-02], 167s [-1.30155353e+00, -8.34424550e-02], 167s [-1.07474099e+00, -9.96740204e-02], 167s [-8.62500588e-01, -9.34356528e-02], 167s [-6.47807795e-01, -9.03207590e-02], 167s [-4.26716474e-01, -9.20555768e-02], 167s [-2.09544054e-01, -8.46922302e-02], 167s [ 2.06307749e-12, -1.68694511e-01], 167s [ 2.09544054e-01, -8.46922302e-02], 167s [ 4.26716474e-01, -9.20555768e-02], 167s [ 6.47807795e-01, -9.03207590e-02], 167s [ 8.62500588e-01, -9.34356528e-02], 167s [ 1.07474099e+00, -9.96740204e-02], 167s [ 1.30155353e+00, -8.34424550e-02], 167s [ 1.52934087e+00, -5.55325951e-02], 167s [ 1.73789905e+00, -1.02691076e-02], 167s [-1.61632159e+00, 1.61101827e-01], 167s [-1.40728530e+00, 9.72308667e-02], 167s [-1.17044328e+00, 7.58186104e-02], 167s [-9.64981575e-01, 9.45599539e-02], 167s [-7.57207614e-01, 9.41542492e-02], 167s [-5.34414346e-01, 8.52642656e-02], 167s [-3.25639144e-01, 9.81197737e-02], 167s [-1.24798649e-01, 1.27305801e-01], 167s [ 1.24798649e-01, 1.27305801e-01], 167s [ 3.25639144e-01, 9.81197737e-02], 167s [ 5.34414346e-01, 8.52642656e-02], 167s [ 7.57207615e-01, 9.41542492e-02], 167s [ 9.64981575e-01, 9.45599540e-02], 167s [ 1.17044328e+00, 7.58186104e-02], 167s [ 1.40728530e+00, 9.72308667e-02], 167s [ 1.61632159e+00, 1.61101827e-01], 167s [-1.45694074e+00, 3.06733575e-01], 167s [-1.26220383e+00, 2.35520499e-01], 167s [-1.06304221e+00, 2.84196989e-01], 167s [-8.62954991e-01, 2.88076778e-01], 167s [-6.36476356e-01, 2.58268869e-01], 167s [-4.30755545e-01, 2.83485553e-01], 167s [-2.23039437e-01, 3.00144286e-01], 167s [ 1.71183623e-12, 2.93358406e-01], 167s [ 2.23039437e-01, 3.00144286e-01], 167s [ 4.30755545e-01, 2.83485553e-01], 167s [ 6.36476356e-01, 2.58268869e-01], 167s [ 8.62954991e-01, 2.88076778e-01], 167s [ 1.06304221e+00, 2.84196989e-01], 167s [ 1.26220383e+00, 2.35520499e-01], 167s [ 1.45694074e+00, 3.06733575e-01], 167s [-1.25913577e+00, 4.19491292e-01], 167s [-1.06037569e+00, 4.80932192e-01], 167s [-6.99256954e-01, 4.32203551e-01], 167s [-5.23308755e-01, 4.72689246e-01], 167s [-3.21632723e-01, 4.80804082e-01], 167s [-1.06773552e-01, 4.78441219e-01], 167s [ 1.06773552e-01, 4.78441219e-01], 167s [ 3.21632723e-01, 4.80804082e-01], 167s [ 5.23308755e-01, 4.72689246e-01], 167s [ 6.99256954e-01, 4.32203551e-01], 167s [ 1.06037569e+00, 4.80932192e-01], 167s [ 1.25913577e+00, 4.19491292e-01], 167s [-9.49932740e-01, 6.87545542e-01], 167s [-6.90020890e-01, 6.41923278e-01], 167s [-4.54922992e-01, 6.58728579e-01], 167s [-2.25141883e-01, 6.60710221e-01], 167s [-8.32375835e-13, 6.60918568e-01], 167s [ 2.25141883e-01, 6.60710221e-01], 167s [ 4.54922992e-01, 6.58728579e-01], 167s [ 6.90020890e-01, 6.41923278e-01], 167s [ 9.49932740e-01, 6.87545542e-01], 167s [-9.95406475e-01, 9.04261031e-01], 167s [-7.82753739e-01, 8.16994926e-01], 167s [-5.63698337e-01, 8.27964670e-01], 167s [-3.37909195e-01, 8.37492719e-01], 167s [-1.12839411e-01, 8.39566905e-01], 167s [ 1.12839411e-01, 8.39566905e-01], 167s [ 3.37909195e-01, 8.37492719e-01], 167s [ 5.63698337e-01, 8.27964670e-01], 167s [ 7.82753739e-01, 8.16994926e-01], 167s [ 9.95406475e-01, 9.04261031e-01], 167s [-8.38782352e-01, 1.01372349e+00], 167s [-6.48468317e-01, 1.01444315e+00], 167s [-4.41082515e-01, 1.01917427e+00], 167s [-2.22470352e-01, 1.02130249e+00], 167s [-9.17167731e-13, 1.01942805e+00], 167s [ 2.22470352e-01, 1.02130249e+00], 167s [ 4.41082515e-01, 1.01917427e+00], 167s [ 6.48468317e-01, 1.01444315e+00], 167s [ 8.38782352e-01, 1.01372349e+00], 167s [-9.89303324e-01, 1.14587300e+00], 167s [-7.77614401e-01, 1.20985123e+00], 167s [-5.61584496e-01, 1.20795342e+00], 167s [-3.37263841e-01, 1.20560889e+00], 167s [-1.10572493e-01, 1.20280727e+00], 167s [ 1.10572493e-01, 1.20280727e+00], 167s [ 3.37263841e-01, 1.20560889e+00], 167s [ 5.61584496e-01, 1.20795342e+00], 167s [ 7.77614401e-01, 1.20985123e+00], 167s [ 9.89303324e-01, 1.14587300e+00], 167s [-9.31261900e-01, 1.36435048e+00], 167s [-6.93648154e-01, 1.39306761e+00], 167s [-4.56439659e-01, 1.38655283e+00], 167s [-2.19445132e-01, 1.38349070e+00], 167s [-8.66374333e-13, 1.39261462e+00], 167s [ 2.19445132e-01, 1.38349070e+00], 167s [ 4.56439659e-01, 1.38655283e+00], 167s [ 6.93648154e-01, 1.39306761e+00], 167s [ 9.31261900e-01, 1.36435048e+00], 167s [-8.30145959e-01, 1.55754613e+00], 167s [-5.75208133e-01, 1.56009168e+00], 167s [-3.25253407e-01, 1.55238941e+00], 167s [-1.06711026e-01, 1.58445129e+00], 167s [ 1.06711026e-01, 1.58445129e+00], 167s [ 3.25253407e-01, 1.55238941e+00], 167s [ 5.75208133e-01, 1.56009168e+00], 167s [ 8.30145959e-01, 1.55754613e+00], 167s [-6.98952223e-01, 1.71516836e+00], 167s [-4.25502618e-01, 1.70606843e+00], 167s [-2.16205183e-01, 1.76516672e+00], 167s [-9.59319083e-13, 1.79302581e+00], 167s [ 2.16205183e-01, 1.76516672e+00], 167s [ 4.25502618e-01, 1.70606843e+00], 167s [ 6.98952223e-01, 1.71516836e+00], 167s [-5.47608645e-01, 1.83673459e+00], 167s [-3.68268028e-01, 1.92971967e+00], 167s [-1.80626369e-01, 1.98355179e+00], 167s [ 1.80626369e-01, 1.98355179e+00], 167s [ 3.68268028e-01, 1.92971967e+00], 167s [ 5.47608645e-01, 1.83673459e+00], 167s [-1.12611186e-12, 2.00000000e+00]]), array([[ 37, 36, 20], 167s [151, 152, 167], 167s [ 35, 53, 52], 167s ..., 167s [107, 88, 89], 167s [ 71, 88, 70], 167s [ 70, 88, 69]], shape=(452, 3))), which will be an error in a future version of pytest. Did you mean to use `assert` instead of `return`? 167s warnings.warn( 167s 167s -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html 167s ================ 54 passed, 2 skipped, 7932 warnings in 11.74s ================= 167s autopkgtest [23:33:40]: test command1: -----------------------] 168s command1 PASS 168s autopkgtest [23:33:41]: test command1: - - - - - - - - - - results - - - - - - - - - - 168s autopkgtest [23:33:41]: @@@@@@@@@@@@@@@@@@@@ summary 168s command1 PASS 185s nova [W] Using flock in prodstack6-ppc64el 185s Creating nova instance adt-questing-ppc64el-python-dmsh-20250503-233053-juju-7f2275-prod-proposed-migration-environment-2-300e7e92-3b2d-4534-add9-193b9c209b76 from image adt/ubuntu-questing-ppc64el-server-20250503.img (UUID 1e63be20-33d6-474d-9c56-b247a2188377)... 185s nova [W] Timed out waiting for f152a724-2620-4963-ad3a-14d87b5a85a9 to get deleted.