0s autopkgtest [01:46:19]: starting date and time: 2024-11-17 01:46:19+0000 0s autopkgtest [01:46:19]: git checkout: 6f3be7a8 Fix armhf LXD image generation for plucky 0s autopkgtest [01:46:19]: host juju-7f2275-prod-proposed-migration-environment-15; command line: /home/ubuntu/autopkgtest/runner/autopkgtest --output-dir /tmp/autopkgtest-work.yv68cchv/out --timeout-copy=6000 --setup-commands /home/ubuntu/autopkgtest-cloud/worker-config-production/setup-canonical.sh --apt-pocket=proposed=src:python-packaging --apt-upgrade statsmodels --timeout-short=300 --timeout-copy=20000 --timeout-test=20000 --timeout-build=20000 --env=ADT_TEST_TRIGGERS=python-packaging/24.2-1 -- ssh -s /home/ubuntu/autopkgtest/ssh-setup/nova -- --flavor autopkgtest-big --security-groups autopkgtest-juju-7f2275-prod-proposed-migration-environment-15@bos03-arm64-30.secgroup --name adt-plucky-arm64-statsmodels-20241117-014619-juju-7f2275-prod-proposed-migration-environment-15-948b6a22-0088-4365-bde9-b31d74c4ea4d --image adt/ubuntu-plucky-arm64-server --keyname testbed-juju-7f2275-prod-proposed-migration-environment-15 --net-id=net_prod-proposed-migration -e TERM=linux -e ''"'"'http_proxy=http://squid.internal:3128'"'"'' -e ''"'"'https_proxy=http://squid.internal:3128'"'"'' -e ''"'"'no_proxy=127.0.0.1,127.0.1.1,login.ubuntu.com,localhost,localdomain,novalocal,internal,archive.ubuntu.com,ports.ubuntu.com,security.ubuntu.com,ddebs.ubuntu.com,changelogs.ubuntu.com,keyserver.ubuntu.com,launchpadlibrarian.net,launchpadcontent.net,launchpad.net,10.24.0.0/24,keystone.ps5.canonical.com,objectstorage.prodstack5.canonical.com'"'"'' --mirror=http://ftpmaster.internal/ubuntu/ 77s autopkgtest [01:47:36]: testbed dpkg architecture: arm64 77s autopkgtest [01:47:36]: testbed apt version: 2.9.8 77s autopkgtest [01:47:36]: @@@@@@@@@@@@@@@@@@@@ test bed setup 78s Get:1 http://ftpmaster.internal/ubuntu plucky-proposed InRelease [73.9 kB] 78s Get:2 http://ftpmaster.internal/ubuntu plucky-proposed/restricted Sources [7016 B] 79s Get:3 http://ftpmaster.internal/ubuntu plucky-proposed/main Sources [88.9 kB] 79s Get:4 http://ftpmaster.internal/ubuntu plucky-proposed/universe Sources [982 kB] 79s Get:5 http://ftpmaster.internal/ubuntu plucky-proposed/multiverse Sources [16.1 kB] 79s Get:6 http://ftpmaster.internal/ubuntu plucky-proposed/main arm64 Packages [161 kB] 79s Get:7 http://ftpmaster.internal/ubuntu plucky-proposed/restricted arm64 Packages [50.3 kB] 79s Get:8 http://ftpmaster.internal/ubuntu plucky-proposed/universe arm64 Packages [759 kB] 79s Get:9 http://ftpmaster.internal/ubuntu plucky-proposed/multiverse arm64 Packages [6712 B] 79s Fetched 2146 kB in 1s (2269 kB/s) 79s Reading package lists... 82s Reading package lists... 83s Building dependency tree... 83s Reading state information... 84s Calculating upgrade... 84s The following NEW packages will be installed: 84s python3.13-gdbm 84s The following packages will be upgraded: 84s debianutils dmidecode libftdi1-2 libnvme1t64 python3-gdbm 85s 5 upgraded, 1 newly installed, 0 to remove and 0 not upgraded. 85s Need to get 307 kB of archives. 85s After this operation, 138 kB of additional disk space will be used. 85s Get:1 http://ftpmaster.internal/ubuntu plucky/main arm64 debianutils arm64 5.21 [92.9 kB] 85s Get:2 http://ftpmaster.internal/ubuntu plucky/main arm64 dmidecode arm64 3.6-2 [62.8 kB] 85s Get:3 http://ftpmaster.internal/ubuntu plucky/main arm64 python3.13-gdbm arm64 3.13.0-2 [30.7 kB] 85s Get:4 http://ftpmaster.internal/ubuntu plucky/main arm64 python3-gdbm arm64 3.12.7-1 [8642 B] 85s Get:5 http://ftpmaster.internal/ubuntu plucky/main arm64 libftdi1-2 arm64 1.5-7build1 [28.5 kB] 85s Get:6 http://ftpmaster.internal/ubuntu plucky/main arm64 libnvme1t64 arm64 1.11-2 [83.7 kB] 85s Fetched 307 kB in 0s (742 kB/s) 86s (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 ... 79964 files and directories currently installed.) 86s Preparing to unpack .../debianutils_5.21_arm64.deb ... 86s Unpacking debianutils (5.21) over (5.20) ... 86s Setting up debianutils (5.21) ... 86s (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 ... 79964 files and directories currently installed.) 86s Preparing to unpack .../dmidecode_3.6-2_arm64.deb ... 86s Unpacking dmidecode (3.6-2) over (3.6-1) ... 86s Selecting previously unselected package python3.13-gdbm. 86s Preparing to unpack .../python3.13-gdbm_3.13.0-2_arm64.deb ... 86s Unpacking python3.13-gdbm (3.13.0-2) ... 86s Preparing to unpack .../python3-gdbm_3.12.7-1_arm64.deb ... 86s Unpacking python3-gdbm:arm64 (3.12.7-1) over (3.12.6-1ubuntu1) ... 86s Preparing to unpack .../libftdi1-2_1.5-7build1_arm64.deb ... 86s Unpacking libftdi1-2:arm64 (1.5-7build1) over (1.5-7) ... 86s Preparing to unpack .../libnvme1t64_1.11-2_arm64.deb ... 86s Unpacking libnvme1t64 (1.11-2) over (1.11-1) ... 86s Setting up libftdi1-2:arm64 (1.5-7build1) ... 86s Setting up libnvme1t64 (1.11-2) ... 86s Setting up dmidecode (3.6-2) ... 86s Setting up python3.13-gdbm (3.13.0-2) ... 86s Setting up python3-gdbm:arm64 (3.12.7-1) ... 86s Processing triggers for man-db (2.13.0-1) ... 88s Processing triggers for libc-bin (2.40-1ubuntu3) ... 88s Reading package lists... 89s Building dependency tree... 89s Reading state information... 90s 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. 90s Hit:1 http://ftpmaster.internal/ubuntu plucky-proposed InRelease 90s Hit:2 http://ftpmaster.internal/ubuntu plucky InRelease 90s Hit:3 http://ftpmaster.internal/ubuntu plucky-updates InRelease 90s Hit:4 http://ftpmaster.internal/ubuntu plucky-security InRelease 92s Reading package lists... 92s Reading package lists... 92s Building dependency tree... 92s Reading state information... 93s Calculating upgrade... 93s 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. 93s Reading package lists... 94s Building dependency tree... 94s Reading state information... 94s 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. 97s autopkgtest [01:47:56]: testbed running kernel: Linux 6.11.0-8-generic #8-Ubuntu SMP PREEMPT_DYNAMIC Mon Sep 16 14:19:41 UTC 2024 97s autopkgtest [01:47:56]: @@@@@@@@@@@@@@@@@@@@ apt-source statsmodels 101s Get:1 http://ftpmaster.internal/ubuntu plucky/universe statsmodels 0.14.4+dfsg-1build1 (dsc) [3694 B] 101s Get:2 http://ftpmaster.internal/ubuntu plucky/universe statsmodels 0.14.4+dfsg-1build1 (tar) [12.1 MB] 101s Get:3 http://ftpmaster.internal/ubuntu plucky/universe statsmodels 0.14.4+dfsg-1build1 (diff) [36.0 kB] 101s gpgv: Signature made Thu Nov 14 09:54:13 2024 UTC 101s gpgv: using RSA key 568BF22A66337CBFC9A6B9B72C83DBC8E9BD0E37 101s gpgv: Can't check signature: No public key 101s dpkg-source: warning: cannot verify inline signature for ./statsmodels_0.14.4+dfsg-1build1.dsc: no acceptable signature found 102s autopkgtest [01:48:01]: testing package statsmodels version 0.14.4+dfsg-1build1 103s autopkgtest [01:48:02]: build not needed 105s autopkgtest [01:48:04]: test upstreamtests: preparing testbed 106s Reading package lists... 107s Building dependency tree... 107s Reading state information... 108s Starting pkgProblemResolver with broken count: 0 108s Starting 2 pkgProblemResolver with broken count: 0 108s Done 110s The following additional packages will be installed: 110s blt fontconfig-config fonts-dejavu-core fonts-dejavu-mono fonts-lyx libamd3 110s libblas3 libcamd3 libccolamd3 libcholmod5 libcolamd3 libdeflate0 110s libdsdp-5.8t64 libfftw3-double3 libfontconfig1 libgfortran5 libglpk40 110s libgomp1 libgraphite2-3 libgsl28 libgslcblas0 libharfbuzz0b libimagequant0 110s libjbig0 libjpeg-turbo8 libjpeg8 libjs-jquery libjs-jquery-ui liblapack3 110s liblbfgsb0 liblcms2-2 liblerc4 libltdl7 libopenjp2-7 libqhull-r8.0 libraqm0 110s libsharpyuv0 libsuitesparseconfig7 libtcl8.6 libtiff6 libtk8.6 libumfpack6 110s libwebp7 libwebpdemux2 libwebpmux3 libxft2 libxrender1 libxslt1.1 libxss1 110s python-matplotlib-data python3-all python3-appdirs python3-brotli 110s python3-colorama python3-contourpy python3-cvxopt python3-cycler 110s python3-dateutil python3-decorator python3-fonttools python3-fs 110s python3-iniconfig python3-joblib python3-kiwisolver python3-lxml python3-lz4 110s python3-matplotlib python3-mpmath python3-numpy python3-packaging 110s python3-pandas python3-pandas-lib python3-patsy python3-pil 110s python3-pil.imagetk python3-pluggy python3-pytest python3-scipy python3-six 110s python3-statsmodels python3-statsmodels-lib python3-sympy python3-tk 110s python3-tz python3-ufolib2 python3.12-tk python3.13-tk tk8.6-blt2.5 110s unicode-data x11-common 110s Suggested packages: 110s blt-demo libfftw3-bin libfftw3-dev libiodbc2-dev default-libmysqlclient-dev 110s gsl-ref-psdoc | gsl-doc-pdf | gsl-doc-info | gsl-ref-html 110s libjs-jquery-ui-docs liblcms2-utils tcl8.6 tk8.6 python-cvxopt-doc 110s python-cycler-doc python-joblib-doc python-lxml-doc cm-super-minimal dvipng 110s ffmpeg fonts-staypuft ghostscript gir1.2-gtk-3.0 inkscape ipython3 110s librsvg2-common python-matplotlib-doc python3-cairocffi python3-gi-cairo 110s python3-gobject python3-pyqt5 python3-sip python3-tornado 110s texlive-extra-utils texlive-latex-extra python-mpmath-doc python3-gmpy2 gcc 110s gfortran python-numpy-doc python3-dev python-pandas-doc python-patsy-doc 110s python-pil-doc python-scipy-doc python-statsmodels-doc texlive-fonts-extra 110s python-sympy-doc tix python3-tk-dbg 110s Recommended packages: 110s javascript-common python3-simplejson python3-psutil python3-bs4 110s python3-cssselect python3-html5lib python3-bottleneck python3-numexpr 110s python3-odf python3-openpyxl python3-tables python3-olefile g++ 110s | c++-compiler isympy-common 110s The following NEW packages will be installed: 110s autopkgtest-satdep blt fontconfig-config fonts-dejavu-core fonts-dejavu-mono 110s fonts-lyx libamd3 libblas3 libcamd3 libccolamd3 libcholmod5 libcolamd3 110s libdeflate0 libdsdp-5.8t64 libfftw3-double3 libfontconfig1 libgfortran5 110s libglpk40 libgomp1 libgraphite2-3 libgsl28 libgslcblas0 libharfbuzz0b 110s libimagequant0 libjbig0 libjpeg-turbo8 libjpeg8 libjs-jquery libjs-jquery-ui 110s liblapack3 liblbfgsb0 liblcms2-2 liblerc4 libltdl7 libopenjp2-7 110s libqhull-r8.0 libraqm0 libsharpyuv0 libsuitesparseconfig7 libtcl8.6 libtiff6 110s libtk8.6 libumfpack6 libwebp7 libwebpdemux2 libwebpmux3 libxft2 libxrender1 110s libxslt1.1 libxss1 python-matplotlib-data python3-all python3-appdirs 110s python3-brotli python3-colorama python3-contourpy python3-cvxopt 110s python3-cycler python3-dateutil python3-decorator python3-fonttools 110s python3-fs python3-iniconfig python3-joblib python3-kiwisolver python3-lxml 110s python3-lz4 python3-matplotlib python3-mpmath python3-numpy 110s python3-packaging python3-pandas python3-pandas-lib python3-patsy 110s python3-pil python3-pil.imagetk python3-pluggy python3-pytest python3-scipy 110s python3-six python3-statsmodels python3-statsmodels-lib python3-sympy 110s python3-tk python3-tz python3-ufolib2 python3.12-tk python3.13-tk 110s tk8.6-blt2.5 unicode-data x11-common 110s 0 upgraded, 91 newly installed, 0 to remove and 0 not upgraded. 110s Need to get 74.4 MB/74.4 MB of archives. 110s After this operation, 338 MB of additional disk space will be used. 110s Get:1 /tmp/autopkgtest.8ECjvG/1-autopkgtest-satdep.deb autopkgtest-satdep arm64 0 [772 B] 110s Get:2 http://ftpmaster.internal/ubuntu plucky/main arm64 libtcl8.6 arm64 8.6.15+dfsg-2 [987 kB] 111s Get:3 http://ftpmaster.internal/ubuntu plucky/main arm64 fonts-dejavu-mono all 2.37-8 [502 kB] 111s Get:4 http://ftpmaster.internal/ubuntu plucky/main arm64 fonts-dejavu-core all 2.37-8 [835 kB] 111s Get:5 http://ftpmaster.internal/ubuntu plucky/main arm64 fontconfig-config arm64 2.15.0-1.1ubuntu2 [37.4 kB] 111s Get:6 http://ftpmaster.internal/ubuntu plucky/main arm64 libfontconfig1 arm64 2.15.0-1.1ubuntu2 [142 kB] 111s Get:7 http://ftpmaster.internal/ubuntu plucky/main arm64 libxrender1 arm64 1:0.9.10-1.1build1 [18.8 kB] 111s Get:8 http://ftpmaster.internal/ubuntu plucky/main arm64 libxft2 arm64 2.3.6-1build1 [44.1 kB] 111s Get:9 http://ftpmaster.internal/ubuntu plucky/main arm64 x11-common all 1:7.7+23ubuntu3 [21.7 kB] 111s Get:10 http://ftpmaster.internal/ubuntu plucky/main arm64 libxss1 arm64 1:1.2.3-1build3 [7244 B] 111s Get:11 http://ftpmaster.internal/ubuntu plucky/main arm64 libtk8.6 arm64 8.6.15-1 [774 kB] 111s Get:12 http://ftpmaster.internal/ubuntu plucky/main arm64 tk8.6-blt2.5 arm64 2.5.3+dfsg-7build1 [618 kB] 111s Get:13 http://ftpmaster.internal/ubuntu plucky/main arm64 blt arm64 2.5.3+dfsg-7build1 [4840 B] 111s Get:14 http://ftpmaster.internal/ubuntu plucky/universe arm64 fonts-lyx all 2.4.2.1-1 [171 kB] 111s Get:15 http://ftpmaster.internal/ubuntu plucky/main arm64 libgomp1 arm64 14.2.0-8ubuntu1 [145 kB] 111s Get:16 http://ftpmaster.internal/ubuntu plucky/main arm64 libsuitesparseconfig7 arm64 1:7.8.3+dfsg-2 [13.1 kB] 111s Get:17 http://ftpmaster.internal/ubuntu plucky/universe arm64 libamd3 arm64 1:7.8.3+dfsg-2 [26.1 kB] 111s Get:18 http://ftpmaster.internal/ubuntu plucky/main arm64 libblas3 arm64 3.12.0-3build2 [152 kB] 111s Get:19 http://ftpmaster.internal/ubuntu plucky/universe arm64 libcamd3 arm64 1:7.8.3+dfsg-2 [22.6 kB] 111s Get:20 http://ftpmaster.internal/ubuntu plucky/universe arm64 libccolamd3 arm64 1:7.8.3+dfsg-2 [25.5 kB] 111s Get:21 http://ftpmaster.internal/ubuntu plucky/main arm64 libcolamd3 arm64 1:7.8.3+dfsg-2 [18.2 kB] 111s Get:22 http://ftpmaster.internal/ubuntu plucky/main arm64 libgfortran5 arm64 14.2.0-8ubuntu1 [438 kB] 111s Get:23 http://ftpmaster.internal/ubuntu plucky/main arm64 liblapack3 arm64 3.12.0-3build2 [2293 kB] 111s Get:24 http://ftpmaster.internal/ubuntu plucky/universe arm64 libcholmod5 arm64 1:7.8.3+dfsg-2 [614 kB] 111s Get:25 http://ftpmaster.internal/ubuntu plucky/main arm64 libdeflate0 arm64 1.22-1 [46.2 kB] 111s Get:26 http://ftpmaster.internal/ubuntu plucky/universe arm64 libdsdp-5.8t64 arm64 5.8-10.1build1 [184 kB] 111s Get:27 http://ftpmaster.internal/ubuntu plucky/main arm64 libfftw3-double3 arm64 3.3.10-1ubuntu4 [392 kB] 111s Get:28 http://ftpmaster.internal/ubuntu plucky/main arm64 libltdl7 arm64 2.4.7-7build1 [40.4 kB] 111s Get:29 http://ftpmaster.internal/ubuntu plucky/universe arm64 libglpk40 arm64 5.0-1build2 [337 kB] 111s Get:30 http://ftpmaster.internal/ubuntu plucky/main arm64 libgraphite2-3 arm64 1.3.14-2ubuntu1 [70.6 kB] 111s Get:31 http://ftpmaster.internal/ubuntu plucky/universe arm64 libgslcblas0 arm64 2.8+dfsg-5 [87.3 kB] 111s Get:32 http://ftpmaster.internal/ubuntu plucky/universe arm64 libgsl28 arm64 2.8+dfsg-5 [983 kB] 111s Get:33 http://ftpmaster.internal/ubuntu plucky/main arm64 libharfbuzz0b arm64 10.0.1-1 [487 kB] 111s Get:34 http://ftpmaster.internal/ubuntu plucky/main arm64 libimagequant0 arm64 2.18.0-1build1 [37.1 kB] 111s Get:35 http://ftpmaster.internal/ubuntu plucky/main arm64 libjpeg-turbo8 arm64 2.1.5-2ubuntu2 [163 kB] 111s Get:36 http://ftpmaster.internal/ubuntu plucky/main arm64 libjpeg8 arm64 8c-2ubuntu11 [2148 B] 111s Get:37 http://ftpmaster.internal/ubuntu plucky/main arm64 libjs-jquery all 3.6.1+dfsg+~3.5.14-1 [328 kB] 111s Get:38 http://ftpmaster.internal/ubuntu plucky/universe arm64 libjs-jquery-ui all 1.13.2+dfsg-1 [252 kB] 111s Get:39 http://ftpmaster.internal/ubuntu plucky/universe arm64 liblbfgsb0 arm64 3.0+dfsg.4-1build1 [27.7 kB] 111s Get:40 http://ftpmaster.internal/ubuntu plucky/main arm64 liblcms2-2 arm64 2.16-2 [170 kB] 111s Get:41 http://ftpmaster.internal/ubuntu plucky/main arm64 liblerc4 arm64 4.0.0+ds-4ubuntu2 [154 kB] 111s Get:42 http://ftpmaster.internal/ubuntu plucky/universe arm64 libqhull-r8.0 arm64 2020.2-6build1 [189 kB] 111s Get:43 http://ftpmaster.internal/ubuntu plucky/main arm64 libraqm0 arm64 0.10.1-1build1 [14.7 kB] 111s Get:44 http://ftpmaster.internal/ubuntu plucky/main arm64 libsharpyuv0 arm64 1.4.0-0.1 [16.3 kB] 111s Get:45 http://ftpmaster.internal/ubuntu plucky/main arm64 libjbig0 arm64 2.1-6.1ubuntu2 [29.3 kB] 111s Get:46 http://ftpmaster.internal/ubuntu plucky/main arm64 libwebp7 arm64 1.4.0-0.1 [192 kB] 111s Get:47 http://ftpmaster.internal/ubuntu plucky/main arm64 libtiff6 arm64 4.5.1+git230720-4ubuntu4 [193 kB] 111s Get:48 http://ftpmaster.internal/ubuntu plucky/universe arm64 libumfpack6 arm64 1:7.8.3+dfsg-2 [249 kB] 111s Get:49 http://ftpmaster.internal/ubuntu plucky/main arm64 libwebpdemux2 arm64 1.4.0-0.1 [12.3 kB] 111s Get:50 http://ftpmaster.internal/ubuntu plucky/main arm64 libwebpmux3 arm64 1.4.0-0.1 [25.1 kB] 111s Get:51 http://ftpmaster.internal/ubuntu plucky/main arm64 libxslt1.1 arm64 1.1.39-0exp1ubuntu1 [167 kB] 111s Get:52 http://ftpmaster.internal/ubuntu plucky/universe arm64 python-matplotlib-data all 3.8.3-3 [2928 kB] 111s Get:53 http://ftpmaster.internal/ubuntu plucky/main arm64 python3-all arm64 3.12.6-0ubuntu1 [886 B] 111s Get:54 http://ftpmaster.internal/ubuntu plucky/main arm64 python3-appdirs all 1.4.4-4 [10.9 kB] 111s Get:55 http://ftpmaster.internal/ubuntu plucky/universe arm64 python3-brotli arm64 1.1.0-2build2 [340 kB] 111s Get:56 http://ftpmaster.internal/ubuntu plucky/main arm64 python3-colorama all 0.4.6-4 [32.1 kB] 111s Get:57 http://ftpmaster.internal/ubuntu plucky/main arm64 python3-numpy arm64 1:1.26.4+ds-11build1 [3654 kB] 111s Get:58 http://ftpmaster.internal/ubuntu plucky/universe arm64 python3-contourpy arm64 1.3.0-2build1 [220 kB] 111s Get:59 http://ftpmaster.internal/ubuntu plucky/universe arm64 python3-cvxopt arm64 1.3.0+dfsg-1build8 [275 kB] 111s Get:60 http://ftpmaster.internal/ubuntu plucky/universe arm64 python3-cycler all 0.12.1-1 [9716 B] 111s Get:61 http://ftpmaster.internal/ubuntu plucky/main arm64 python3-six all 1.16.0-7 [13.1 kB] 111s Get:62 http://ftpmaster.internal/ubuntu plucky/main arm64 python3-dateutil all 2.9.0-2 [80.3 kB] 111s Get:63 http://ftpmaster.internal/ubuntu plucky/main arm64 python3-decorator all 5.1.1-5 [10.1 kB] 111s Get:64 http://ftpmaster.internal/ubuntu plucky/main arm64 python3-tz all 2024.1-2 [31.4 kB] 111s Get:65 http://ftpmaster.internal/ubuntu plucky/universe arm64 python3-fs all 2.4.16-4 [91.3 kB] 111s Get:66 http://ftpmaster.internal/ubuntu plucky/main arm64 python3-lxml arm64 5.3.0-1 [1205 kB] 111s Get:67 http://ftpmaster.internal/ubuntu plucky/universe arm64 python3-lz4 arm64 4.0.2+dfsg-1build4 [26.7 kB] 111s Get:68 http://ftpmaster.internal/ubuntu plucky/universe arm64 python3-scipy arm64 1.13.1-5 [16.3 MB] 112s Get:69 http://ftpmaster.internal/ubuntu plucky/universe arm64 python3-mpmath all 1.3.0-1 [425 kB] 112s Get:70 http://ftpmaster.internal/ubuntu plucky/universe arm64 python3-sympy all 1.13.3-1 [4228 kB] 112s Get:71 http://ftpmaster.internal/ubuntu plucky/universe arm64 python3-ufolib2 all 0.16.1+dfsg1-1 [33.4 kB] 112s Get:72 http://ftpmaster.internal/ubuntu plucky/universe arm64 unicode-data all 15.1.0-1 [8878 kB] 112s Get:73 http://ftpmaster.internal/ubuntu plucky/universe arm64 python3-fonttools arm64 4.54.1-4ubuntu1 [1614 kB] 112s Get:74 http://ftpmaster.internal/ubuntu plucky/universe arm64 python3-iniconfig all 1.1.1-2 [6024 B] 112s Get:75 http://ftpmaster.internal/ubuntu plucky/universe arm64 python3-joblib all 1.3.2-5 [206 kB] 112s Get:76 http://ftpmaster.internal/ubuntu plucky/universe arm64 python3-kiwisolver arm64 1.4.7-2build1 [62.0 kB] 112s Get:77 http://ftpmaster.internal/ubuntu plucky/main arm64 libopenjp2-7 arm64 2.5.0-2ubuntu1 [182 kB] 112s Get:78 http://ftpmaster.internal/ubuntu plucky/main arm64 python3-pil arm64 10.4.0-1ubuntu1 [456 kB] 112s Get:79 http://ftpmaster.internal/ubuntu plucky/main arm64 python3.12-tk arm64 3.12.7-3 [115 kB] 112s Get:80 http://ftpmaster.internal/ubuntu plucky/main arm64 python3.13-tk arm64 3.13.0-2 [105 kB] 112s Get:81 http://ftpmaster.internal/ubuntu plucky/main arm64 python3-tk arm64 3.12.7-1 [9752 B] 112s Get:82 http://ftpmaster.internal/ubuntu plucky/universe arm64 python3-pil.imagetk arm64 10.4.0-1ubuntu1 [9504 B] 112s Get:83 http://ftpmaster.internal/ubuntu plucky-proposed/main arm64 python3-packaging all 24.2-1 [51.5 kB] 112s Get:84 http://ftpmaster.internal/ubuntu plucky/universe arm64 python3-matplotlib arm64 3.8.3-3 [4515 kB] 112s Get:85 http://ftpmaster.internal/ubuntu plucky/universe arm64 python3-pandas-lib arm64 2.2.3+dfsg-5 [4422 kB] 112s Get:86 http://ftpmaster.internal/ubuntu plucky/universe arm64 python3-pandas all 2.2.3+dfsg-5 [3112 kB] 113s Get:87 http://ftpmaster.internal/ubuntu plucky/universe arm64 python3-patsy all 0.5.6-1 [181 kB] 113s Get:88 http://ftpmaster.internal/ubuntu plucky/universe arm64 python3-pluggy all 1.5.0-1 [21.0 kB] 113s Get:89 http://ftpmaster.internal/ubuntu plucky/universe arm64 python3-pytest all 8.3.3-1 [251 kB] 113s Get:90 http://ftpmaster.internal/ubuntu plucky/universe arm64 python3-statsmodels-lib arm64 0.14.4+dfsg-1build1 [2512 kB] 113s Get:91 http://ftpmaster.internal/ubuntu plucky/universe arm64 python3-statsmodels all 0.14.4+dfsg-1build1 [5011 kB] 113s Fetched 74.4 MB in 3s (26.1 MB/s) 113s Selecting previously unselected package libtcl8.6:arm64. 113s (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 ... 79970 files and directories currently installed.) 113s Preparing to unpack .../00-libtcl8.6_8.6.15+dfsg-2_arm64.deb ... 113s Unpacking libtcl8.6:arm64 (8.6.15+dfsg-2) ... 114s Selecting previously unselected package fonts-dejavu-mono. 114s Preparing to unpack .../01-fonts-dejavu-mono_2.37-8_all.deb ... 114s Unpacking fonts-dejavu-mono (2.37-8) ... 114s Selecting previously unselected package fonts-dejavu-core. 114s Preparing to unpack .../02-fonts-dejavu-core_2.37-8_all.deb ... 114s Unpacking fonts-dejavu-core (2.37-8) ... 114s Selecting previously unselected package fontconfig-config. 114s Preparing to unpack .../03-fontconfig-config_2.15.0-1.1ubuntu2_arm64.deb ... 114s Unpacking fontconfig-config (2.15.0-1.1ubuntu2) ... 114s Selecting previously unselected package libfontconfig1:arm64. 114s Preparing to unpack .../04-libfontconfig1_2.15.0-1.1ubuntu2_arm64.deb ... 114s Unpacking libfontconfig1:arm64 (2.15.0-1.1ubuntu2) ... 114s Selecting previously unselected package libxrender1:arm64. 114s Preparing to unpack .../05-libxrender1_1%3a0.9.10-1.1build1_arm64.deb ... 114s Unpacking libxrender1:arm64 (1:0.9.10-1.1build1) ... 114s Selecting previously unselected package libxft2:arm64. 114s Preparing to unpack .../06-libxft2_2.3.6-1build1_arm64.deb ... 114s Unpacking libxft2:arm64 (2.3.6-1build1) ... 114s Selecting previously unselected package x11-common. 114s Preparing to unpack .../07-x11-common_1%3a7.7+23ubuntu3_all.deb ... 114s Unpacking x11-common (1:7.7+23ubuntu3) ... 114s Selecting previously unselected package libxss1:arm64. 114s Preparing to unpack .../08-libxss1_1%3a1.2.3-1build3_arm64.deb ... 114s Unpacking libxss1:arm64 (1:1.2.3-1build3) ... 114s Selecting previously unselected package libtk8.6:arm64. 114s Preparing to unpack .../09-libtk8.6_8.6.15-1_arm64.deb ... 114s Unpacking libtk8.6:arm64 (8.6.15-1) ... 114s Selecting previously unselected package tk8.6-blt2.5. 114s Preparing to unpack .../10-tk8.6-blt2.5_2.5.3+dfsg-7build1_arm64.deb ... 114s Unpacking tk8.6-blt2.5 (2.5.3+dfsg-7build1) ... 114s Selecting previously unselected package blt. 114s Preparing to unpack .../11-blt_2.5.3+dfsg-7build1_arm64.deb ... 114s Unpacking blt (2.5.3+dfsg-7build1) ... 114s Selecting previously unselected package fonts-lyx. 115s Preparing to unpack .../12-fonts-lyx_2.4.2.1-1_all.deb ... 115s Unpacking fonts-lyx (2.4.2.1-1) ... 115s Selecting previously unselected package libgomp1:arm64. 115s Preparing to unpack .../13-libgomp1_14.2.0-8ubuntu1_arm64.deb ... 115s Unpacking libgomp1:arm64 (14.2.0-8ubuntu1) ... 115s Selecting previously unselected package libsuitesparseconfig7:arm64. 115s Preparing to unpack .../14-libsuitesparseconfig7_1%3a7.8.3+dfsg-2_arm64.deb ... 115s Unpacking libsuitesparseconfig7:arm64 (1:7.8.3+dfsg-2) ... 115s Selecting previously unselected package libamd3:arm64. 115s Preparing to unpack .../15-libamd3_1%3a7.8.3+dfsg-2_arm64.deb ... 115s Unpacking libamd3:arm64 (1:7.8.3+dfsg-2) ... 115s Selecting previously unselected package libblas3:arm64. 115s Preparing to unpack .../16-libblas3_3.12.0-3build2_arm64.deb ... 115s Unpacking libblas3:arm64 (3.12.0-3build2) ... 115s Selecting previously unselected package libcamd3:arm64. 115s Preparing to unpack .../17-libcamd3_1%3a7.8.3+dfsg-2_arm64.deb ... 115s Unpacking libcamd3:arm64 (1:7.8.3+dfsg-2) ... 115s Selecting previously unselected package libccolamd3:arm64. 115s Preparing to unpack .../18-libccolamd3_1%3a7.8.3+dfsg-2_arm64.deb ... 115s Unpacking libccolamd3:arm64 (1:7.8.3+dfsg-2) ... 115s Selecting previously unselected package libcolamd3:arm64. 115s Preparing to unpack .../19-libcolamd3_1%3a7.8.3+dfsg-2_arm64.deb ... 115s Unpacking libcolamd3:arm64 (1:7.8.3+dfsg-2) ... 115s Selecting previously unselected package libgfortran5:arm64. 115s Preparing to unpack .../20-libgfortran5_14.2.0-8ubuntu1_arm64.deb ... 115s Unpacking libgfortran5:arm64 (14.2.0-8ubuntu1) ... 115s Selecting previously unselected package liblapack3:arm64. 115s Preparing to unpack .../21-liblapack3_3.12.0-3build2_arm64.deb ... 115s Unpacking liblapack3:arm64 (3.12.0-3build2) ... 115s Selecting previously unselected package libcholmod5:arm64. 115s Preparing to unpack .../22-libcholmod5_1%3a7.8.3+dfsg-2_arm64.deb ... 115s Unpacking libcholmod5:arm64 (1:7.8.3+dfsg-2) ... 115s Selecting previously unselected package libdeflate0:arm64. 115s Preparing to unpack .../23-libdeflate0_1.22-1_arm64.deb ... 115s Unpacking libdeflate0:arm64 (1.22-1) ... 115s Selecting previously unselected package libdsdp-5.8t64. 115s Preparing to unpack .../24-libdsdp-5.8t64_5.8-10.1build1_arm64.deb ... 115s Unpacking libdsdp-5.8t64 (5.8-10.1build1) ... 115s Selecting previously unselected package libfftw3-double3:arm64. 115s Preparing to unpack .../25-libfftw3-double3_3.3.10-1ubuntu4_arm64.deb ... 115s Unpacking libfftw3-double3:arm64 (3.3.10-1ubuntu4) ... 115s Selecting previously unselected package libltdl7:arm64. 115s Preparing to unpack .../26-libltdl7_2.4.7-7build1_arm64.deb ... 115s Unpacking libltdl7:arm64 (2.4.7-7build1) ... 115s Selecting previously unselected package libglpk40:arm64. 115s Preparing to unpack .../27-libglpk40_5.0-1build2_arm64.deb ... 115s Unpacking libglpk40:arm64 (5.0-1build2) ... 115s Selecting previously unselected package libgraphite2-3:arm64. 115s Preparing to unpack .../28-libgraphite2-3_1.3.14-2ubuntu1_arm64.deb ... 115s Unpacking libgraphite2-3:arm64 (1.3.14-2ubuntu1) ... 115s Selecting previously unselected package libgslcblas0:arm64. 115s Preparing to unpack .../29-libgslcblas0_2.8+dfsg-5_arm64.deb ... 115s Unpacking libgslcblas0:arm64 (2.8+dfsg-5) ... 115s Selecting previously unselected package libgsl28:arm64. 115s Preparing to unpack .../30-libgsl28_2.8+dfsg-5_arm64.deb ... 115s Unpacking libgsl28:arm64 (2.8+dfsg-5) ... 115s Selecting previously unselected package libharfbuzz0b:arm64. 115s Preparing to unpack .../31-libharfbuzz0b_10.0.1-1_arm64.deb ... 115s Unpacking libharfbuzz0b:arm64 (10.0.1-1) ... 115s Selecting previously unselected package libimagequant0:arm64. 116s Preparing to unpack .../32-libimagequant0_2.18.0-1build1_arm64.deb ... 116s Unpacking libimagequant0:arm64 (2.18.0-1build1) ... 116s Selecting previously unselected package libjpeg-turbo8:arm64. 116s Preparing to unpack .../33-libjpeg-turbo8_2.1.5-2ubuntu2_arm64.deb ... 116s Unpacking libjpeg-turbo8:arm64 (2.1.5-2ubuntu2) ... 116s Selecting previously unselected package libjpeg8:arm64. 116s Preparing to unpack .../34-libjpeg8_8c-2ubuntu11_arm64.deb ... 116s Unpacking libjpeg8:arm64 (8c-2ubuntu11) ... 116s Selecting previously unselected package libjs-jquery. 116s Preparing to unpack .../35-libjs-jquery_3.6.1+dfsg+~3.5.14-1_all.deb ... 116s Unpacking libjs-jquery (3.6.1+dfsg+~3.5.14-1) ... 116s Selecting previously unselected package libjs-jquery-ui. 116s Preparing to unpack .../36-libjs-jquery-ui_1.13.2+dfsg-1_all.deb ... 116s Unpacking libjs-jquery-ui (1.13.2+dfsg-1) ... 116s Selecting previously unselected package liblbfgsb0:arm64. 116s Preparing to unpack .../37-liblbfgsb0_3.0+dfsg.4-1build1_arm64.deb ... 116s Unpacking liblbfgsb0:arm64 (3.0+dfsg.4-1build1) ... 116s Selecting previously unselected package liblcms2-2:arm64. 116s Preparing to unpack .../38-liblcms2-2_2.16-2_arm64.deb ... 116s Unpacking liblcms2-2:arm64 (2.16-2) ... 116s Selecting previously unselected package liblerc4:arm64. 116s Preparing to unpack .../39-liblerc4_4.0.0+ds-4ubuntu2_arm64.deb ... 116s Unpacking liblerc4:arm64 (4.0.0+ds-4ubuntu2) ... 116s Selecting previously unselected package libqhull-r8.0:arm64. 116s Preparing to unpack .../40-libqhull-r8.0_2020.2-6build1_arm64.deb ... 116s Unpacking libqhull-r8.0:arm64 (2020.2-6build1) ... 116s Selecting previously unselected package libraqm0:arm64. 116s Preparing to unpack .../41-libraqm0_0.10.1-1build1_arm64.deb ... 116s Unpacking libraqm0:arm64 (0.10.1-1build1) ... 116s Selecting previously unselected package libsharpyuv0:arm64. 116s Preparing to unpack .../42-libsharpyuv0_1.4.0-0.1_arm64.deb ... 116s Unpacking libsharpyuv0:arm64 (1.4.0-0.1) ... 116s Selecting previously unselected package libjbig0:arm64. 116s Preparing to unpack .../43-libjbig0_2.1-6.1ubuntu2_arm64.deb ... 116s Unpacking libjbig0:arm64 (2.1-6.1ubuntu2) ... 116s Selecting previously unselected package libwebp7:arm64. 116s Preparing to unpack .../44-libwebp7_1.4.0-0.1_arm64.deb ... 116s Unpacking libwebp7:arm64 (1.4.0-0.1) ... 116s Selecting previously unselected package libtiff6:arm64. 116s Preparing to unpack .../45-libtiff6_4.5.1+git230720-4ubuntu4_arm64.deb ... 116s Unpacking libtiff6:arm64 (4.5.1+git230720-4ubuntu4) ... 116s Selecting previously unselected package libumfpack6:arm64. 116s Preparing to unpack .../46-libumfpack6_1%3a7.8.3+dfsg-2_arm64.deb ... 116s Unpacking libumfpack6:arm64 (1:7.8.3+dfsg-2) ... 116s Selecting previously unselected package libwebpdemux2:arm64. 116s Preparing to unpack .../47-libwebpdemux2_1.4.0-0.1_arm64.deb ... 116s Unpacking libwebpdemux2:arm64 (1.4.0-0.1) ... 116s Selecting previously unselected package libwebpmux3:arm64. 116s Preparing to unpack .../48-libwebpmux3_1.4.0-0.1_arm64.deb ... 116s Unpacking libwebpmux3:arm64 (1.4.0-0.1) ... 116s Selecting previously unselected package libxslt1.1:arm64. 116s Preparing to unpack .../49-libxslt1.1_1.1.39-0exp1ubuntu1_arm64.deb ... 116s Unpacking libxslt1.1:arm64 (1.1.39-0exp1ubuntu1) ... 116s Selecting previously unselected package python-matplotlib-data. 116s Preparing to unpack .../50-python-matplotlib-data_3.8.3-3_all.deb ... 116s Unpacking python-matplotlib-data (3.8.3-3) ... 116s Selecting previously unselected package python3-all. 116s Preparing to unpack .../51-python3-all_3.12.6-0ubuntu1_arm64.deb ... 116s Unpacking python3-all (3.12.6-0ubuntu1) ... 116s Selecting previously unselected package python3-appdirs. 116s Preparing to unpack .../52-python3-appdirs_1.4.4-4_all.deb ... 116s Unpacking python3-appdirs (1.4.4-4) ... 117s Selecting previously unselected package python3-brotli. 117s Preparing to unpack .../53-python3-brotli_1.1.0-2build2_arm64.deb ... 117s Unpacking python3-brotli (1.1.0-2build2) ... 117s Selecting previously unselected package python3-colorama. 117s Preparing to unpack .../54-python3-colorama_0.4.6-4_all.deb ... 117s Unpacking python3-colorama (0.4.6-4) ... 117s Selecting previously unselected package python3-numpy. 117s Preparing to unpack .../55-python3-numpy_1%3a1.26.4+ds-11build1_arm64.deb ... 117s Unpacking python3-numpy (1:1.26.4+ds-11build1) ... 117s Selecting previously unselected package python3-contourpy. 117s Preparing to unpack .../56-python3-contourpy_1.3.0-2build1_arm64.deb ... 117s Unpacking python3-contourpy (1.3.0-2build1) ... 117s Selecting previously unselected package python3-cvxopt. 117s Preparing to unpack .../57-python3-cvxopt_1.3.0+dfsg-1build8_arm64.deb ... 117s Unpacking python3-cvxopt (1.3.0+dfsg-1build8) ... 117s Selecting previously unselected package python3-cycler. 117s Preparing to unpack .../58-python3-cycler_0.12.1-1_all.deb ... 117s Unpacking python3-cycler (0.12.1-1) ... 117s Selecting previously unselected package python3-six. 117s Preparing to unpack .../59-python3-six_1.16.0-7_all.deb ... 117s Unpacking python3-six (1.16.0-7) ... 117s Selecting previously unselected package python3-dateutil. 117s Preparing to unpack .../60-python3-dateutil_2.9.0-2_all.deb ... 117s Unpacking python3-dateutil (2.9.0-2) ... 117s Selecting previously unselected package python3-decorator. 117s Preparing to unpack .../61-python3-decorator_5.1.1-5_all.deb ... 117s Unpacking python3-decorator (5.1.1-5) ... 117s Selecting previously unselected package python3-tz. 117s Preparing to unpack .../62-python3-tz_2024.1-2_all.deb ... 117s Unpacking python3-tz (2024.1-2) ... 117s Selecting previously unselected package python3-fs. 117s Preparing to unpack .../63-python3-fs_2.4.16-4_all.deb ... 117s Unpacking python3-fs (2.4.16-4) ... 117s Selecting previously unselected package python3-lxml:arm64. 117s Preparing to unpack .../64-python3-lxml_5.3.0-1_arm64.deb ... 117s Unpacking python3-lxml:arm64 (5.3.0-1) ... 117s Selecting previously unselected package python3-lz4. 117s Preparing to unpack .../65-python3-lz4_4.0.2+dfsg-1build4_arm64.deb ... 117s Unpacking python3-lz4 (4.0.2+dfsg-1build4) ... 117s Selecting previously unselected package python3-scipy. 117s Preparing to unpack .../66-python3-scipy_1.13.1-5_arm64.deb ... 117s Unpacking python3-scipy (1.13.1-5) ... 118s Selecting previously unselected package python3-mpmath. 118s Preparing to unpack .../67-python3-mpmath_1.3.0-1_all.deb ... 118s Unpacking python3-mpmath (1.3.0-1) ... 118s Selecting previously unselected package python3-sympy. 118s Preparing to unpack .../68-python3-sympy_1.13.3-1_all.deb ... 118s Unpacking python3-sympy (1.13.3-1) ... 118s Selecting previously unselected package python3-ufolib2. 118s Preparing to unpack .../69-python3-ufolib2_0.16.1+dfsg1-1_all.deb ... 118s Unpacking python3-ufolib2 (0.16.1+dfsg1-1) ... 118s Selecting previously unselected package unicode-data. 118s Preparing to unpack .../70-unicode-data_15.1.0-1_all.deb ... 118s Unpacking unicode-data (15.1.0-1) ... 119s Selecting previously unselected package python3-fonttools. 119s Preparing to unpack .../71-python3-fonttools_4.54.1-4ubuntu1_arm64.deb ... 119s Unpacking python3-fonttools (4.54.1-4ubuntu1) ... 119s Selecting previously unselected package python3-iniconfig. 119s Preparing to unpack .../72-python3-iniconfig_1.1.1-2_all.deb ... 119s Unpacking python3-iniconfig (1.1.1-2) ... 119s Selecting previously unselected package python3-joblib. 119s Preparing to unpack .../73-python3-joblib_1.3.2-5_all.deb ... 119s Unpacking python3-joblib (1.3.2-5) ... 119s Selecting previously unselected package python3-kiwisolver. 119s Preparing to unpack .../74-python3-kiwisolver_1.4.7-2build1_arm64.deb ... 119s Unpacking python3-kiwisolver (1.4.7-2build1) ... 119s Selecting previously unselected package libopenjp2-7:arm64. 119s Preparing to unpack .../75-libopenjp2-7_2.5.0-2ubuntu1_arm64.deb ... 119s Unpacking libopenjp2-7:arm64 (2.5.0-2ubuntu1) ... 119s Selecting previously unselected package python3-pil:arm64. 119s Preparing to unpack .../76-python3-pil_10.4.0-1ubuntu1_arm64.deb ... 119s Unpacking python3-pil:arm64 (10.4.0-1ubuntu1) ... 119s Selecting previously unselected package python3.12-tk. 119s Preparing to unpack .../77-python3.12-tk_3.12.7-3_arm64.deb ... 119s Unpacking python3.12-tk (3.12.7-3) ... 119s Selecting previously unselected package python3.13-tk. 119s Preparing to unpack .../78-python3.13-tk_3.13.0-2_arm64.deb ... 119s Unpacking python3.13-tk (3.13.0-2) ... 119s Selecting previously unselected package python3-tk:arm64. 119s Preparing to unpack .../79-python3-tk_3.12.7-1_arm64.deb ... 119s Unpacking python3-tk:arm64 (3.12.7-1) ... 119s Selecting previously unselected package python3-pil.imagetk:arm64. 119s Preparing to unpack .../80-python3-pil.imagetk_10.4.0-1ubuntu1_arm64.deb ... 119s Unpacking python3-pil.imagetk:arm64 (10.4.0-1ubuntu1) ... 119s Selecting previously unselected package python3-packaging. 119s Preparing to unpack .../81-python3-packaging_24.2-1_all.deb ... 119s Unpacking python3-packaging (24.2-1) ... 119s Selecting previously unselected package python3-matplotlib. 119s Preparing to unpack .../82-python3-matplotlib_3.8.3-3_arm64.deb ... 119s Unpacking python3-matplotlib (3.8.3-3) ... 119s Selecting previously unselected package python3-pandas-lib:arm64. 119s Preparing to unpack .../83-python3-pandas-lib_2.2.3+dfsg-5_arm64.deb ... 119s Unpacking python3-pandas-lib:arm64 (2.2.3+dfsg-5) ... 119s Selecting previously unselected package python3-pandas. 120s Preparing to unpack .../84-python3-pandas_2.2.3+dfsg-5_all.deb ... 120s Unpacking python3-pandas (2.2.3+dfsg-5) ... 120s Selecting previously unselected package python3-patsy. 120s Preparing to unpack .../85-python3-patsy_0.5.6-1_all.deb ... 120s Unpacking python3-patsy (0.5.6-1) ... 120s Selecting previously unselected package python3-pluggy. 120s Preparing to unpack .../86-python3-pluggy_1.5.0-1_all.deb ... 120s Unpacking python3-pluggy (1.5.0-1) ... 120s Selecting previously unselected package python3-pytest. 120s Preparing to unpack .../87-python3-pytest_8.3.3-1_all.deb ... 120s Unpacking python3-pytest (8.3.3-1) ... 120s Selecting previously unselected package python3-statsmodels-lib:arm64. 120s Preparing to unpack .../88-python3-statsmodels-lib_0.14.4+dfsg-1build1_arm64.deb ... 120s Unpacking python3-statsmodels-lib:arm64 (0.14.4+dfsg-1build1) ... 120s Selecting previously unselected package python3-statsmodels. 120s Preparing to unpack .../89-python3-statsmodels_0.14.4+dfsg-1build1_all.deb ... 120s Unpacking python3-statsmodels (0.14.4+dfsg-1build1) ... 120s Selecting previously unselected package autopkgtest-satdep. 120s Preparing to unpack .../90-1-autopkgtest-satdep.deb ... 120s Unpacking autopkgtest-satdep (0) ... 121s Setting up libgraphite2-3:arm64 (1.3.14-2ubuntu1) ... 121s Setting up liblcms2-2:arm64 (2.16-2) ... 121s Setting up python3-iniconfig (1.1.1-2) ... 121s Setting up libsharpyuv0:arm64 (1.4.0-0.1) ... 121s Setting up liblerc4:arm64 (4.0.0+ds-4ubuntu2) ... 121s Setting up libxrender1:arm64 (1:0.9.10-1.1build1) ... 121s Setting up libgslcblas0:arm64 (2.8+dfsg-5) ... 121s Setting up python3-joblib (1.3.2-5) ... 121s Setting 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../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_conf_int PASSED [ 3%] 218s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_bse PASSED [ 3%] 218s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_aic PASSED [ 3%] 218s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_bic PASSED [ 3%] 218s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_t PASSED [ 3%] 218s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_fit_regularized PASSED [ 3%] 218s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_init_keys PASSED [ 3%] 219s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_null PASSED [ 3%] 219s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_summary PASSED [ 3%] 219s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_names PASSED [ 3%] 219s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedPoisson_predict::test_mean PASSED [ 3%] 219s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedPoisson_predict::test_var PASSED [ 3%] 219s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedPoisson_predict::test_predict_prob PASSED [ 3%] 219s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedPoisson_predict::test_predict_options PASSED [ 3%] 219s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_fit_regularized_invalid_method SKIPPED [ 3%] 219s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_params SKIPPED [ 3%] 219s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_llf SKIPPED [ 3%] 219s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_aic SKIPPED [ 3%] 219s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_fit_regularized SKIPPED [ 3%] 219s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_init_keys SKIPPED [ 3%] 219s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_null SKIPPED [ 3%] 219s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_summary SKIPPED [ 3%] 219s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_bse SKIPPED [ 3%] 219s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_conf_int SKIPPED [ 3%] 219s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_bic SKIPPED [ 3%] 219s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_t SKIPPED [ 3%] 219s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_minimize SKIPPED [ 3%] 223s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson_predict::test_mean PASSED [ 3%] 223s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson_predict::test_var PASSED [ 3%] 223s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson_predict::test_predict_prob PASSED [ 3%] 224s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_fit_regularized_invalid_method PASSED [ 3%] 224s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_llf PASSED [ 3%] 224s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_bse PASSED [ 3%] 224s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_aic PASSED [ 3%] 224s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_t PASSED [ 3%] 224s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_init_keys PASSED [ 3%] 227s 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../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_minimize PASSED [ 3%] 229s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict::test_mean PASSED [ 3%] 230s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict::test_var PASSED [ 3%] 230s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict::test_predict_prob PASSED [ 3%] 230s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict::test_predict_generic_zi PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict2::test_mean PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict2::test_zero_nonzero_mean PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_count_model.py::TestPandasOffset::test_pd_offset_exposure PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_diagnostic.py::TestCountDiagnostic::test_count PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_diagnostic.py::TestCountDiagnostic::test_probs PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_diagnostic.py::TestPoissonDiagnosticClass::test_spec_tests PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_fit_regularized_invalid_method PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_params PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_conf_int PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_zstat PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_pvalues PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_cov_params PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_llf PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_llnull PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_llr PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_llr_pvalue PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_normalized_cov_params XFAIL [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_bse PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_dof PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_aic PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_bic PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_predict PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_predict_xb PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_loglikeobs PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_jac PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_summary_latex PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_distr PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_pred_table PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_resid_dev PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_resid_generalized PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_resid_response PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_init_kwargs PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_fit_regularized_invalid_method PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_params PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_conf_int PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_zstat PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_pvalues PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_cov_params PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_llf PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_llnull PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_llr PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_llr_pvalue PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_normalized_cov_params XFAIL [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_bse PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_dof PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_aic PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_bic PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_predict PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_predict_xb PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_loglikeobs PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_jac PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_summary_latex PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_distr PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_pred_table PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_resid_dev PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_resid_generalized PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_resid_response PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_fit_regularized_invalid_method PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_params PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_conf_int PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_zstat PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_pvalues PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_cov_params PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_llf PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_llnull PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_llr PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_llr_pvalue PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_normalized_cov_params XFAIL [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_bse PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_dof PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_aic PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_bic PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_predict PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_predict_xb PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_loglikeobs PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_jac PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_summary_latex PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_distr PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_pred_table PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_resid_dev PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_resid_generalized PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_resid_response PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_fit_regularized_invalid_method PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_params PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_conf_int PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_zstat PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_pvalues PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_cov_params PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_llf PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_llnull PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_llr PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_llr_pvalue PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_normalized_cov_params XFAIL [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_bse PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_dof PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_aic PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_bic PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_predict PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_predict_xb PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_loglikeobs PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_jac PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_summary_latex PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_distr PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_pred_table PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_resid_dev PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_resid_generalized PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_resid_response PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_fit_regularized_invalid_method PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_params PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_conf_int PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_zstat PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_pvalues PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_cov_params PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_llf PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_llnull PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_llr PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_llr_pvalue PASSED [ 3%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_normalized_cov_params XFAIL [ 4%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_bse PASSED [ 4%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_dof PASSED [ 4%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_aic PASSED [ 4%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_bic PASSED [ 4%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_predict PASSED [ 4%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_predict_xb PASSED [ 4%] 233s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_loglikeobs PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_jac PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_summary_latex PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_distr PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_pred_table PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_resid_dev PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_resid_generalized PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_resid_response PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_fit_regularized_invalid_method PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_params PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_conf_int PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_zstat PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_pvalues PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_cov_params PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_llf PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_llnull PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_llr PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_llr_pvalue PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_normalized_cov_params XFAIL [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_bse PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_dof PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_aic PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_bic PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_predict PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_predict_xb PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_loglikeobs PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_jac PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_summary_latex PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_distr PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_pred_table PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_resid_dev PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_resid_generalized PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_resid_response PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_fit_regularized_invalid_method PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_params PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_conf_int PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_zstat PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_pvalues PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_cov_params PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_llf PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_llnull PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_llr PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_llr_pvalue PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_normalized_cov_params XFAIL [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_bse PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_dof PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_aic PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_bic PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_predict PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_predict_xb PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_loglikeobs PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_jac PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_summary_latex PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_distr PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_pred_table PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_resid_dev PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_resid_generalized PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_resid_response PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_fit_regularized_invalid_method PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_params PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_conf_int PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_zstat PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_pvalues PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_cov_params PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_llf PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_llnull PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_llr PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_llr_pvalue PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_normalized_cov_params XFAIL [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_bse PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_dof PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_aic PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_bic PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_predict PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_predict_xb PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_loglikeobs PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_jac PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_summary_latex PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_distr PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_pred_table PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_resid_dev PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_resid_generalized PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_resid_response PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_fit_regularized_invalid_method PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_params PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_conf_int PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_zstat PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_pvalues PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_cov_params PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_llf PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_llnull PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_llr PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_llr_pvalue PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_normalized_cov_params XFAIL [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_bse PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_dof PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_aic PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_bic PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_predict PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_predict_xb PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_loglikeobs PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_jac PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_summary_latex PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_distr PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_pred_table PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_resid_dev PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_resid_generalized PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_resid_response PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_fit_regularized_invalid_method PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_params PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_conf_int PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_zstat PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_pvalues PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_cov_params PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_llf PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_llnull PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_llr PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_llr_pvalue PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_normalized_cov_params XFAIL [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_bse PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_dof PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_aic PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_bic PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_predict PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_predict_xb PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_loglikeobs PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_jac PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_summary_latex PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_distr PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_pred_table PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_resid_dev PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_resid_generalized PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_resid_response PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_params PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_conf_int PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_bse PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_nnz_params PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_aic PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_bic PASSED [ 4%] 234s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_cov_params PASSED [ 4%] 235s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_params PASSED [ 4%] 235s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_conf_int PASSED [ 4%] 235s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_bse PASSED [ 4%] 235s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_nnz_params PASSED [ 4%] 235s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_aic PASSED [ 4%] 235s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_bic PASSED [ 4%] 235s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_params PASSED [ 4%] 235s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_conf_int PASSED [ 4%] 235s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_bse PASSED [ 4%] 235s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_nnz_params PASSED [ 4%] 235s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_aic PASSED [ 4%] 235s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_bic PASSED [ 4%] 235s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_cov_params PASSED [ 4%] 239s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestCVXOPT::test_cvxopt_versus_slsqp PASSED [ 4%] 239s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestSweepAlphaL1::test_sweep_alpha PASSED [ 4%] 239s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_params PASSED [ 4%] 239s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_cov_params PASSED [ 4%] 239s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_df PASSED [ 4%] 239s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_t_test PASSED [ 4%] 239s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_f_test PASSED [ 4%] 239s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_bad_r_matrix PASSED [ 4%] 239s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_params PASSED [ 4%] 239s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_cov_params PASSED [ 4%] 239s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_df PASSED [ 4%] 239s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_t_test PASSED [ 4%] 239s 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../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_f_test PASSED [ 4%] 239s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_bad_r_matrix PASSED [ 4%] 239s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_params PASSED [ 5%] 239s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_cov_params PASSED [ 5%] 239s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_df PASSED [ 5%] 239s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_t_test PASSED [ 5%] 239s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_f_test PASSED [ 5%] 239s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_bad_r_matrix PASSED [ 5%] 239s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_params PASSED [ 5%] 239s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_cov_params PASSED [ 5%] 239s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_df PASSED [ 5%] 239s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_bad_r_matrix PASSED [ 5%] 239s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_t_test PASSED [ 5%] 239s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_f_test SKIPPED [ 5%] 239s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_params PASSED [ 5%] 239s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_cov_params PASSED [ 5%] 239s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_df PASSED [ 5%] 239s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_t_test PASSED [ 5%] 239s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_f_test PASSED [ 5%] 239s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_bad_r_matrix PASSED [ 5%] 239s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroLogit::test_basic_results PASSED [ 5%] 239s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroLogit::test_tests PASSED [ 5%] 239s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroLogit::test_converged PASSED [ 5%] 239s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroProbit::test_basic_results PASSED [ 5%] 239s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroProbit::test_tests PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroMNLogit::test_basic_results PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dydxoverall PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dydxmean PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dydxmedian PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dydxzero PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dyexoverall PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dyexmean PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dyexmedian PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dyexzero PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eydxoverall PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eydxmean PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eydxmedian PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eydxzero PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eyexoverall PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eyexmean PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eyexmedian PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eyexzero PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_dydxoverall PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_dydxmean PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_eydxoverall PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_eydxmean PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_count_dydxoverall PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_count_dydxmean PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_count_dummy_dydxoverall PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_count_dummy_dydxmean PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_fit_regularized_invalid_method PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_params PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_conf_int PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_zstat PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_pvalues PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_cov_params PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_llf PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_llnull PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_llr PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_llr_pvalue PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_normalized_cov_params XFAIL [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_bse PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dof PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_aic PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_bic PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_predict PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_predict_xb PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_loglikeobs PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_jac PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_summary_latex PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_distr PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_pred_table PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_resid_dev PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_resid_generalized PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_resid_response PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_resid_pearson PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_exog1 PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_exog2 PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_exog1 PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_exog2 PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_diagnostic PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dydxoverall PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dydxmean PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dydxmedian PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dydxzero PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dyexoverall PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dyexmean PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dyexmedian PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dyexzero PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eydxoverall PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eydxmean PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eydxmedian PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eydxzero PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eyexoverall PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eyexmean PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eyexmedian PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eyexzero PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_dydxoverall PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_dydxmean PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_eydxoverall PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_eydxmean PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_count_dydxoverall PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_count_dydxmean PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_count_dummy_dydxoverall PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_count_dummy_dydxmean PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_resid_pearson PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_exog1 PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_exog2 PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_exog1 PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_exog2 PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dydxoverall PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dydxmean PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dydxmedian PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dydxzero PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dyexoverall PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dyexmean PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dyexmedian PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dyexzero PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eydxoverall PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eydxmean PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eydxmedian PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eydxzero PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eyexoverall PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eyexmean PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eyexmedian PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eyexzero PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_dummy_dydxoverall PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_dummy_dydxmean PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_dummy_eydxoverall PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_dummy_eydxmean PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_count_dydxoverall PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_count_dydxmean PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_count_dummy_dydxoverall PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_count_dummy_dydxmean PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_fit_regularized_invalid_method PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_params PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_conf_int PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_zstat PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_pvalues PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_cov_params PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_llf PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_llnull PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_llr PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_llr_pvalue PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_normalized_cov_params XFAIL [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_bse PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_dof PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_aic PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_bic PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_predict PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_predict_xb PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_loglikeobs PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_jac PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_summary_latex PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_distr PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_pred_table PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_resid_dev PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_resid_generalized PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_resid_response PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_fit_regularized_invalid_method PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_params PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_conf_int PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_zstat PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_pvalues PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_llf PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_llnull PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_llr PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_llr_pvalue PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_normalized_cov_params XFAIL [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_bse PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_dof PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_aic PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_bic PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_predict PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_predict_xb PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_loglikeobs PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_jac PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_summary_latex PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_distr PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_margeff_overall PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_margeff_dummy_overall PASSED [ 5%] 240s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_resid PASSED [ 5%] 241s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_predict_prob PASSED [ 6%] 241s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_cov_params XFAIL [ 6%] 241s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_fit_regularized_invalid_method PASSED [ 6%] 241s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_cov_params SKIPPED [ 6%] 241s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_llf PASSED [ 6%] 241s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_llnull PASSED [ 6%] 241s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_llr PASSED [ 6%] 241s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_llr_pvalue PASSED [ 6%] 241s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_normalized_cov_params XFAIL [ 6%] 241s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_dof PASSED [ 6%] 241s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_aic PASSED [ 6%] 241s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_bic PASSED [ 6%] 241s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_loglikeobs PASSED [ 6%] 241s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_jac PASSED [ 6%] 241s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_summary_latex PASSED [ 6%] 241s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_distr PASSED [ 6%] 241s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_pvalues XFAIL [ 6%] 241s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_bse PASSED [ 6%] 241s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_params PASSED [ 6%] 241s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_alpha PASSED [ 6%] 241s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_conf_int PASSED [ 6%] 241s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_zstat PASSED [ 6%] 241s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_fittedvalues PASSED [ 6%] 241s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_predict PASSED [ 6%] 241s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_predict_xb PASSED [ 6%] 242s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_fit_regularized_invalid_method PASSED [ 6%] 242s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_cov_params SKIPPED [ 6%] 242s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_llf PASSED [ 6%] 242s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_llnull PASSED [ 6%] 242s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_llr PASSED [ 6%] 242s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_llr_pvalue PASSED [ 6%] 242s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_normalized_cov_params XFAIL [ 6%] 242s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_bse PASSED [ 6%] 242s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_dof PASSED [ 6%] 242s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_aic PASSED [ 6%] 242s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_bic PASSED [ 6%] 242s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_loglikeobs PASSED [ 6%] 242s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_jac PASSED [ 6%] 242s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_summary_latex PASSED [ 6%] 242s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_distr PASSED [ 6%] 242s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_pvalues XFAIL [ 6%] 242s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_zstat PASSED [ 6%] 242s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_lnalpha PASSED [ 6%] 242s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_params PASSED [ 6%] 242s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_conf_int PASSED [ 6%] 242s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_predict XFAIL [ 6%] 242s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_predict_xb XFAIL [ 6%] 243s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_fit_regularized_invalid_method PASSED [ 6%] 243s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_cov_params SKIPPED [ 6%] 243s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_llf PASSED [ 6%] 243s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_llnull PASSED [ 6%] 243s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_llr PASSED [ 6%] 243s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_llr_pvalue PASSED [ 6%] 243s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_normalized_cov_params XFAIL [ 6%] 243s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_dof PASSED [ 6%] 243s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_aic PASSED [ 6%] 243s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_bic PASSED [ 6%] 243s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_loglikeobs PASSED [ 6%] 243s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_jac PASSED [ 6%] 243s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_summary_latex PASSED [ 6%] 243s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_distr PASSED [ 6%] 243s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_pvalues XFAIL [ 6%] 243s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_bse PASSED [ 6%] 243s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_params PASSED [ 6%] 243s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_alpha PASSED [ 6%] 243s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_conf_int PASSED [ 6%] 243s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_zstat PASSED [ 6%] 243s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_fittedvalues PASSED [ 6%] 243s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_predict PASSED [ 6%] 243s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_predict_xb PASSED [ 6%] 243s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_fit_regularized_invalid_method PASSED [ 6%] 243s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_cov_params SKIPPED [ 6%] 243s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_llf PASSED [ 6%] 244s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_llnull PASSED [ 6%] 244s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_llr PASSED [ 6%] 244s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_llr_pvalue PASSED [ 6%] 244s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_normalized_cov_params XFAIL [ 6%] 244s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_bse PASSED [ 6%] 244s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_dof PASSED [ 6%] 244s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_aic PASSED [ 6%] 244s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_bic PASSED [ 6%] 244s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_loglikeobs PASSED [ 6%] 244s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_jac PASSED [ 6%] 244s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_summary_latex PASSED [ 6%] 244s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_distr PASSED [ 6%] 244s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_pvalues XFAIL [ 6%] 244s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_zstat PASSED [ 6%] 244s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_lnalpha PASSED [ 6%] 244s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_params PASSED [ 6%] 244s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_conf_int PASSED [ 6%] 244s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_predict XFAIL [ 6%] 244s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_predict_xb XFAIL [ 6%] 244s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_fit_regularized_invalid_method PASSED [ 6%] 244s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_cov_params SKIPPED [ 6%] 244s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_llnull PASSED [ 6%] 244s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_llr_pvalue PASSED [ 6%] 244s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_normalized_cov_params XFAIL [ 6%] 244s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_dof PASSED [ 6%] 244s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_loglikeobs PASSED [ 6%] 245s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_jac PASSED [ 6%] 245s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_summary_latex PASSED [ 6%] 245s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_distr PASSED [ 6%] 245s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_pvalues XFAIL [ 6%] 245s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_aic PASSED [ 6%] 245s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_bic PASSED [ 6%] 245s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_conf_int PASSED [ 6%] 245s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_fittedvalues PASSED [ 6%] 245s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_predict PASSED [ 6%] 245s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_params PASSED [ 6%] 245s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_predict_xb PASSED [ 6%] 245s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_zstat PASSED [ 6%] 245s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_llf PASSED [ 6%] 245s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_llr PASSED [ 6%] 245s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_bse PASSED [ 6%] 245s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_fit_regularized_invalid_method PASSED [ 6%] 245s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_params PASSED [ 6%] 245s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_conf_int PASSED [ 6%] 245s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_zstat PASSED [ 6%] 245s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_pvalues PASSED [ 6%] 245s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_llf PASSED [ 6%] 245s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_llnull PASSED [ 6%] 245s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_llr PASSED [ 6%] 245s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_llr_pvalue PASSED [ 6%] 245s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_normalized_cov_params XFAIL [ 6%] 245s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_bse PASSED [ 6%] 245s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_dof PASSED [ 6%] 245s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_aic PASSED [ 6%] 245s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_bic PASSED [ 6%] 245s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_predict PASSED [ 6%] 245s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_predict_xb PASSED [ 6%] 245s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_loglikeobs PASSED [ 6%] 245s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_jac PASSED [ 6%] 245s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_summary_latex PASSED [ 6%] 245s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_margeff_overall PASSED [ 6%] 245s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_margeff_mean PASSED [ 6%] 245s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_margeff_dummy PASSED [ 6%] 245s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_j PASSED [ 6%] 245s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_k PASSED [ 6%] 245s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_endog_names PASSED [ 6%] 245s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_pred_table PASSED [ 6%] 245s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_resid PASSED [ 6%] 246s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_cov_params XFAIL [ 6%] 246s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_distr XFAIL [ 6%] 246s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_fit_regularized_invalid_method PASSED [ 6%] 246s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_params PASSED [ 6%] 246s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_conf_int PASSED [ 6%] 246s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_zstat PASSED [ 6%] 246s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_pvalues PASSED [ 6%] 246s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_llf PASSED [ 6%] 247s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_llnull PASSED [ 6%] 247s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_llr PASSED [ 6%] 247s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_llr_pvalue PASSED [ 6%] 247s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_normalized_cov_params XFAIL [ 6%] 247s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_bse PASSED [ 6%] 247s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_dof PASSED [ 6%] 247s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_aic PASSED [ 6%] 247s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_bic PASSED [ 6%] 247s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_predict PASSED [ 6%] 247s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_predict_xb PASSED [ 6%] 247s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_loglikeobs PASSED [ 6%] 247s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_jac PASSED [ 6%] 247s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_summary_latex PASSED [ 6%] 247s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_margeff_overall PASSED [ 6%] 247s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_margeff_mean PASSED [ 6%] 247s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_margeff_dummy PASSED [ 6%] 247s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_j PASSED [ 6%] 247s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_k PASSED [ 6%] 247s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_endog_names PASSED [ 6%] 247s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_pred_table PASSED [ 6%] 247s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_resid PASSED [ 6%] 247s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_cov_params XFAIL [ 6%] 247s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_distr XFAIL [ 6%] 248s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_mnlogit_basinhopping PASSED [ 6%] 248s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_perfect_prediction PASSED [ 6%] 248s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_poisson_predict PASSED [ 6%] 248s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_poisson_newton PASSED [ 6%] 249s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_issue_339 PASSED [ 6%] 249s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_issue_341 PASSED [ 6%] 249s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_negative_binomial_default_alpha_param PASSED [ 6%] 249s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_iscount PASSED [ 6%] 249s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_isdummy PASSED [ 7%] 249s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_non_binary PASSED [ 7%] 249s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_mnlogit_factor PASSED [ 7%] 249s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_mnlogit_factor_categorical PASSED [ 7%] 249s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_formula_missing_exposure PASSED [ 7%] 249s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_predict_with_exposure PASSED [ 7%] 249s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_binary_pred_table_zeros PASSED [ 7%] 250s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_bse PASSED [ 7%] 250s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_params PASSED [ 7%] 250s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_alpha PASSED [ 7%] 250s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_conf_int PASSED [ 7%] 250s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_aic PASSED [ 7%] 250s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_bic PASSED [ 7%] 250s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_df PASSED [ 7%] 250s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_llf PASSED [ 7%] 250s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_wald PASSED [ 7%] 250s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_t PASSED [ 7%] 250s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_jac PASSED [ 7%] 250s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_distr PASSED [ 7%] 251s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_bse PASSED [ 7%] 251s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_params PASSED [ 7%] 251s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_alpha PASSED [ 7%] 251s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_conf_int PASSED [ 7%] 251s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_aic PASSED [ 7%] 251s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_bic PASSED [ 7%] 251s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_df PASSED [ 7%] 251s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_llf PASSED [ 7%] 252s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_llf PASSED [ 7%] 252s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_score PASSED [ 7%] 252s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_hessian PASSED [ 7%] 252s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_t PASSED [ 7%] 252s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized PASSED [ 7%] 252s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_init_kwds PASSED [ 7%] 252s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_distr PASSED [ 7%] 253s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_basic PASSED [ 7%] 253s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_newton PASSED [ 7%] 253s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_mean_var PASSED [ 7%] 253s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_predict_prob PASSED [ 7%] 253s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_jac PASSED [ 7%] 253s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_distr PASSED [ 7%] 253s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_fit_regularized_invalid_method PASSED [ 7%] 253s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_cov_params SKIPPED [ 7%] 253s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_llf PASSED [ 7%] 253s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_llnull PASSED [ 7%] 253s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_llr PASSED [ 7%] 253s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_llr_pvalue PASSED [ 7%] 253s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_normalized_cov_params XFAIL [ 7%] 253s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_dof PASSED [ 7%] 253s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_aic PASSED [ 7%] 253s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_bic PASSED [ 7%] 253s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_loglikeobs PASSED [ 7%] 253s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_jac PASSED [ 7%] 253s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_summary_latex PASSED [ 7%] 253s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_distr PASSED [ 7%] 253s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_pvalues XFAIL [ 7%] 253s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_bse PASSED [ 7%] 253s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_params PASSED [ 7%] 253s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_alpha PASSED [ 7%] 253s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_conf_int PASSED [ 7%] 253s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_zstat PASSED [ 7%] 253s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_fittedvalues PASSED [ 7%] 253s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_predict PASSED [ 7%] 253s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_predict_xb PASSED [ 7%] 254s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_fit_regularized_invalid_method PASSED [ 7%] 254s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_cov_params SKIPPED [ 7%] 254s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_llf PASSED [ 7%] 254s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_llnull PASSED [ 7%] 254s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_llr PASSED [ 7%] 254s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_llr_pvalue PASSED [ 7%] 254s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_normalized_cov_params XFAIL [ 7%] 254s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_bse PASSED [ 7%] 254s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_dof PASSED [ 7%] 254s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_aic PASSED [ 7%] 254s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_bic PASSED [ 7%] 254s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_loglikeobs PASSED [ 7%] 254s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_jac PASSED [ 7%] 254s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_summary_latex PASSED [ 7%] 254s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_distr PASSED [ 7%] 254s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_pvalues XFAIL [ 7%] 254s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_zstat PASSED [ 7%] 254s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_lnalpha PASSED [ 7%] 254s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_params PASSED [ 7%] 254s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_conf_int PASSED [ 7%] 254s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_predict PASSED [ 7%] 254s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_predict_xb PASSED [ 7%] 254s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_fit_regularized_invalid_method PASSED [ 7%] 254s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_cov_params SKIPPED [ 7%] 254s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_llf PASSED [ 7%] 254s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_llnull PASSED [ 7%] 254s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_llr PASSED [ 7%] 254s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_llr_pvalue PASSED [ 7%] 255s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_normalized_cov_params XFAIL [ 7%] 255s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_dof PASSED [ 7%] 255s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_aic PASSED [ 7%] 255s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_bic PASSED [ 7%] 255s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_loglikeobs PASSED [ 7%] 255s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_jac PASSED [ 7%] 255s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_summary_latex PASSED [ 7%] 255s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_distr PASSED [ 7%] 255s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_pvalues XFAIL [ 7%] 255s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_bse PASSED [ 7%] 255s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_params PASSED [ 7%] 255s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_alpha PASSED [ 7%] 255s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_conf_int PASSED [ 7%] 255s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_zstat PASSED [ 7%] 255s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_fittedvalues PASSED [ 7%] 255s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_predict PASSED [ 7%] 255s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_predict_xb PASSED [ 7%] 255s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_fit_regularized_invalid_method PASSED [ 7%] 255s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_cov_params SKIPPED [ 7%] 255s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_llnull PASSED [ 7%] 255s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_llr_pvalue PASSED [ 7%] 255s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_normalized_cov_params XFAIL [ 7%] 255s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_dof PASSED [ 7%] 255s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_loglikeobs PASSED [ 7%] 255s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_jac PASSED [ 7%] 255s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_summary_latex PASSED [ 7%] 255s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_distr PASSED [ 7%] 256s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_pvalues XFAIL [ 7%] 256s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_bse PASSED [ 7%] 256s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_aic PASSED [ 7%] 256s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_bic PASSED [ 7%] 256s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_llf PASSED [ 7%] 256s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_llr PASSED [ 7%] 256s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_zstat PASSED [ 7%] 256s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_lnalpha PASSED [ 7%] 256s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_params PASSED [ 7%] 256s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_conf_int PASSED [ 7%] 256s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_predict PASSED [ 7%] 256s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_predict_xb PASSED [ 7%] 256s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_init_kwds PASSED [ 7%] 256s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPL1Compatability::test_params PASSED [ 7%] 256s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPL1Compatability::test_cov_params PASSED [ 7%] 256s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPL1Compatability::test_df PASSED [ 7%] 256s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPL1Compatability::test_t_test PASSED [ 7%] 256s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPL1Compatability::test_f_test PASSED [ 7%] 256s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPL1Compatability::test_bad_r_matrix PASSED [ 7%] 256s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPPredictProb::test_predict_prob_p1 PASSED [ 7%] 256s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPPredictProb::test_predict_prob_p2 PASSED [ 7%] 256s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestPoissonNull::test_llnull PASSED [ 7%] 256s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Null::test_llnull PASSED [ 7%] 256s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Null::test_llnull PASSED [ 7%] 256s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNBP2Null::test_llnull PASSED [ 7%] 256s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNBP2Null::test_start_null PASSED [ 7%] 256s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNBP1Null::test_llnull PASSED [ 7%] 256s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNBP1Null::test_start_null PASSED [ 7%] 256s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoissonNull::test_llnull PASSED [ 7%] 256s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_null_options PASSED [ 7%] 256s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_optim_kwds_prelim PASSED [ 7%] 256s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_unchanging_degrees_of_freedom PASSED [ 7%] 256s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_mnlogit_float_name PASSED [ 7%] 256s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_cov_confint_pandas PASSED [ 7%] 256s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_discrete.py::test_mlogit_t_test PASSED [ 7%] 256s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_margins.py::TestPoissonMargin::test_margins_table PASSED [ 7%] 256s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_margins.py::TestPoissonMarginDummy::test_margins_table PASSED [ 7%] 256s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_margins.py::TestNegBinMargin::test_margins_table PASSED [ 7%] 256s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_margins.py::TestNegBinMarginDummy::test_margins_table PASSED [ 7%] 256s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_margins.py::TestNegBinPMargin::test_margins_table PASSED [ 7%] 256s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_predict.py::TestNegativeBinomialPPredict::test_predict_linear PASSED [ 7%] 257s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_predict.py::TestNegativeBinomialPPredict::test_score_test PASSED [ 7%] 257s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_predict.py::TestNegativeBinomialPPredict::test_score_test_alpha PASSED [ 7%] 257s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_predict.py::TestNegativeBinomialPPredict::test_influence PASSED [ 7%] 257s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_predict.py::TestNegativeBinomialPPredict::test_basic PASSED [ 7%] 257s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_predict.py::TestNegativeBinomialPPredict::test_predict PASSED [ 7%] 257s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_predict.py::TestNegativeBinomialPPredict::test_diagnostic PASSED [ 7%] 260s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_predict.py::TestZINegativeBinomialPPredict::test_basic PASSED [ 7%] 260s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_predict.py::TestZINegativeBinomialPPredict::test_predict PASSED [ 7%] 260s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_predict.py::TestZINegativeBinomialPPredict::test_diagnostic PASSED [ 7%] 260s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_predict.py::TestGeneralizedPoissonPredict::test_predict_linear PASSED [ 7%] 260s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_predict.py::TestGeneralizedPoissonPredict::test_score_test PASSED [ 7%] 260s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_predict.py::TestGeneralizedPoissonPredict::test_score_test_alpha PASSED [ 7%] 260s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_predict.py::TestGeneralizedPoissonPredict::test_influence PASSED [ 7%] 260s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_predict.py::test_distr[case0] PASSED [ 7%] 260s ../../../usr/lib/python3/dist-packages/statsmodels/discrete/tests/test_predict.py::test_distr[case1] PASSED [ 7%] 260s 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PASSED [ 15%] 341s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAggregated::test_basic PASSED [ 15%] 341s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAggregated::test_residuals PASSED [ 15%] 341s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAggregated::test_compare_optimizers PASSED [ 15%] 341s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAggregated::test_pearson_chi2 PASSED [ 15%] 341s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAggregated::test_getprediction PASSED [ 15%] 341s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAverage::test_basic PASSED [ 15%] 341s 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15%] 341s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomialVsVarWeights::test_residuals PASSED [ 15%] 341s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomialVsVarWeights::test_compare_optimizers PASSED [ 15%] 341s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomialVsVarWeights::test_pearson_chi2 PASSED [ 15%] 341s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestBinomialVsVarWeights::test_getprediction PASSED [ 15%] 341s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianWLS::test_basic PASSED [ 15%] 341s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianWLS::test_residuals PASSED [ 15%] 341s 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PASSED [ 15%] 348s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct2-fam2] PASSED [ 15%] 348s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_formula[cov_struct0] PASSED [ 15%] 348s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_formula[cov_struct1] PASSED [ 15%] 348s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_qif.py::test_formula[cov_struct2] PASSED [ 15%] 348s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_score_test.py::TestScoreTest::test_wald_score PASSED [ 15%] 348s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_score_test.py::TestScoreTest::test_dispersion PASSED [ 15%] 348s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_score_test.py::TestScoreTestDispersed::test_wald_score PASSED [ 15%] 348s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_score_test.py::TestScoreTestDispersed::test_dispersion PASSED [ 15%] 348s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_score_test.py::TestScoreTestPoisson::test_dispersion PASSED [ 15%] 348s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_score_test.py::TestScoreTestPoisson::test_wald_score PASSED [ 15%] 348s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_score_test.py::TestScoreTestPoissonDispersed::test_dispersion PASSED [ 15%] 348s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_score_test.py::TestScoreTestPoissonDispersed::test_wald_score PASSED [ 15%] 348s ../../../usr/lib/python3/dist-packages/statsmodels/genmod/tests/test_score_test.py::TestScoreTestGaussian::test_wald_score PASSED [ 15%] 349s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_agreement.py::test_mean_diff_plot PASSED [ 15%] 349s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_boxplots.py::test_violinplot PASSED [ 15%] 349s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_boxplots.py::test_violinplot_bw_factor PASSED [ 15%] 349s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_boxplots.py::test_beanplot PASSED [ 15%] 349s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_boxplots.py::test_beanplot_jitter PASSED [ 15%] 349s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_boxplots.py::test_beanplot_side_right PASSED [ 15%] 349s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_boxplots.py::test_beanplot_side_left PASSED [ 15%] 349s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_boxplots.py::test_beanplot_legend_text PASSED [ 15%] 350s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_correlation.py::test_plot_corr PASSED [ 15%] 350s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_correlation.py::test_plot_corr_grid PASSED [ 15%] 353s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_dotplot.py::test_all PASSED [ 15%] 353s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_plot_both PASSED [ 15%] 353s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_plot_rainbow PASSED [ 15%] 353s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_plot_pandas[str] PASSED [ 15%] 353s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_plot_pandas[int] PASSED [ 15%] 353s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_formatting PASSED [ 15%] 353s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_formatting_errors PASSED [ 15%] 353s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_plottype PASSED [ 15%] 353s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_recode_series PASSED [ 15%] 354s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_hdr_basic PASSED [ 15%] 354s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_hdr_basic_brute SKIPPED [ 15%] 354s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_hdr_plot SKIPPED [ 15%] 354s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_hdr_alpha SKIPPED [ 15%] 354s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_hdr_multiple_alpha SKIPPED [ 15%] 354s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_hdr_threshold SKIPPED [ 15%] 354s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_hdr_bw PASSED [ 15%] 354s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_hdr_ncomp SKIPPED [ 15%] 354s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_banddepth_BD2 PASSED [ 15%] 354s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_banddepth_MBD PASSED [ 15%] 354s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_functional.py::test_fboxplot_rainbowplot PASSED [ 15%] 354s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_qqplot PASSED [ 15%] 355s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_ppplot PASSED [ 15%] 355s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_probplot PASSED [ 15%] 355s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_probplot_exceed PASSED [ 15%] 355s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_qqplot_other_array PASSED [ 15%] 355s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_ppplot_other_array PASSED [ 15%] 355s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_probplot_other_array XFAIL [ 15%] 355s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_qqplot_other_prbplt PASSED [ 15%] 355s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_ppplot_other_prbplt PASSED [ 15%] 355s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_probplot_other_prbplt XFAIL [ 15%] 355s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_qqplot_custom_labels PASSED [ 15%] 355s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_ppplot_custom_labels PASSED [ 15%] 355s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_probplot_custom_labels PASSED [ 15%] 355s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_qqplot_pltkwargs PASSED [ 15%] 356s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_ppplot_pltkwargs PASSED [ 15%] 356s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_probplot_pltkwargs PASSED [ 15%] 356s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_fit_params PASSED [ 15%] 356s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_qqplot PASSED [ 15%] 356s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_ppplot PASSED [ 15%] 356s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_probplot PASSED [ 15%] 356s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_probplot_exceed PASSED [ 15%] 356s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_qqplot_other_array PASSED [ 15%] 357s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_ppplot_other_array PASSED [ 15%] 357s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_probplot_other_array XFAIL [ 15%] 357s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_qqplot_other_prbplt PASSED [ 15%] 357s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_ppplot_other_prbplt PASSED [ 15%] 358s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_probplot_other_prbplt XFAIL [ 15%] 358s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_qqplot_custom_labels PASSED [ 15%] 358s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_ppplot_custom_labels PASSED [ 15%] 358s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_probplot_custom_labels PASSED [ 15%] 358s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_qqplot_pltkwargs PASSED [ 15%] 358s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_ppplot_pltkwargs PASSED [ 15%] 358s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_probplot_pltkwargs PASSED [ 15%] 358s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_fit_params PASSED [ 15%] 358s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_qqplot PASSED [ 15%] 358s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_ppplot PASSED [ 15%] 358s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot PASSED [ 15%] 358s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot_exceed PASSED [ 15%] 358s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_qqplot_other_array PASSED [ 15%] 358s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_ppplot_other_array PASSED [ 15%] 359s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot_other_array XFAIL [ 15%] 359s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_qqplot_other_prbplt PASSED [ 15%] 359s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_ppplot_other_prbplt PASSED [ 15%] 359s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot_other_prbplt XFAIL [ 15%] 359s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_qqplot_custom_labels PASSED [ 15%] 359s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_ppplot_custom_labels PASSED [ 15%] 359s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot_custom_labels PASSED [ 15%] 359s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_qqplot_pltkwargs PASSED [ 15%] 359s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_ppplot_pltkwargs PASSED [ 15%] 359s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot_pltkwargs PASSED [ 15%] 359s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_fit_params PASSED [ 15%] 359s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_qqplot PASSED [ 15%] 359s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_ppplot PASSED [ 15%] 360s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot PASSED [ 15%] 360s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot_exceed PASSED [ 15%] 360s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_qqplot_other_array PASSED [ 15%] 360s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_ppplot_other_array PASSED [ 15%] 360s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot_other_array XFAIL [ 15%] 360s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_qqplot_other_prbplt PASSED [ 15%] 360s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_ppplot_other_prbplt PASSED [ 15%] 360s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot_other_prbplt XFAIL [ 15%] 360s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_qqplot_custom_labels PASSED [ 15%] 360s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_ppplot_custom_labels PASSED [ 15%] 360s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot_custom_labels PASSED [ 15%] 360s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_qqplot_pltkwargs PASSED [ 15%] 360s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_ppplot_pltkwargs PASSED [ 15%] 360s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot_pltkwargs PASSED [ 15%] 360s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_fit_params PASSED [ 15%] 360s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_qqplot PASSED [ 15%] 360s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_ppplot PASSED [ 15%] 360s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_probplot PASSED [ 15%] 360s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_probplot_exceed PASSED [ 15%] 360s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_qqplot_other_array PASSED [ 15%] 360s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_ppplot_other_array PASSED [ 15%] 361s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_probplot_other_array XFAIL [ 15%] 361s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_qqplot_other_prbplt PASSED [ 15%] 361s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_ppplot_other_prbplt PASSED [ 15%] 361s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_probplot_other_prbplt XFAIL [ 15%] 361s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_qqplot_custom_labels PASSED [ 15%] 361s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_ppplot_custom_labels PASSED [ 15%] 361s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_probplot_custom_labels PASSED [ 15%] 361s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_qqplot_pltkwargs PASSED [ 16%] 361s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_ppplot_pltkwargs PASSED [ 16%] 362s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_probplot_pltkwargs PASSED [ 16%] 362s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_fit_params PASSED [ 16%] 362s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_loc_set PASSED [ 16%] 362s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_scale_set PASSED [ 16%] 362s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_exceptions PASSED [ 16%] 362s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestCompareSamplesDifferentSize::test_qqplot PASSED [ 16%] 362s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestCompareSamplesDifferentSize::test_ppplot PASSED [ 16%] 362s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_qqplot PASSED [ 16%] 362s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_ppplot PASSED [ 16%] 362s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot PASSED [ 16%] 362s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot_exceed PASSED [ 16%] 362s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_qqplot_other_array PASSED [ 16%] 362s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_ppplot_other_array PASSED [ 16%] 362s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot_other_array XFAIL [ 16%] 362s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_qqplot_other_prbplt PASSED [ 16%] 362s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_ppplot_other_prbplt PASSED [ 16%] 362s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot_other_prbplt XFAIL [ 16%] 362s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_qqplot_custom_labels PASSED [ 16%] 362s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_ppplot_custom_labels PASSED [ 16%] 362s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot_custom_labels PASSED [ 16%] 362s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_qqplot_pltkwargs PASSED [ 16%] 362s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_ppplot_pltkwargs PASSED [ 16%] 362s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot_pltkwargs PASSED [ 16%] 362s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_fit_params PASSED [ 16%] 362s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_loc_set PASSED [ 16%] 362s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_scale_set PASSED [ 16%] 362s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_loc_set_in_dist PASSED [ 16%] 362s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_scale_set_in_dist PASSED [ 16%] 362s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestTopLevel::test_qqplot PASSED [ 16%] 363s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestTopLevel::test_qqplot_pltkwargs PASSED [ 16%] 363s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestTopLevel::test_qqplot_2samples_prob_plot_objects PASSED [ 16%] 363s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestTopLevel::test_qqplot_2samples_arrays PASSED [ 16%] 363s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_invalid_dist_config PASSED [ 16%] 363s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::test_qqplot_unequal PASSED [ 16%] 363s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestCheckDist::test_good PASSED [ 16%] 363s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestCheckDist::test_bad PASSED [ 16%] 363s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_baseline PASSED [ 16%] 363s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_with_ax PASSED [ 16%] 363s ../../../usr/lib/python3/dist-packages/statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_plot_full_options PASSED [ 16%] 363s 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[ 17%] 386s ../../../usr/lib/python3/dist-packages/statsmodels/multivariate/tests/test_ml_factor.py::test_fit_ml_em_random_state PASSED [ 17%] 386s ../../../usr/lib/python3/dist-packages/statsmodels/multivariate/tests/test_ml_factor.py::test_em PASSED [ 17%] 386s ../../../usr/lib/python3/dist-packages/statsmodels/multivariate/tests/test_ml_factor.py::test_1factor PASSED [ 17%] 386s ../../../usr/lib/python3/dist-packages/statsmodels/multivariate/tests/test_ml_factor.py::test_2factor PASSED [ 17%] 386s ../../../usr/lib/python3/dist-packages/statsmodels/multivariate/tests/test_multivariate_ols.py::test_glm_dogs_example PASSED [ 17%] 386s ../../../usr/lib/python3/dist-packages/statsmodels/multivariate/tests/test_multivariate_ols.py::test_specify_L_M_by_string PASSED [ 17%] 386s ../../../usr/lib/python3/dist-packages/statsmodels/multivariate/tests/test_multivariate_ols.py::test_independent_variable_singular PASSED [ 17%] 386s ../../../usr/lib/python3/dist-packages/statsmodels/multivariate/tests/test_multivariate_ols.py::test_from_formula_vs_no_formula PASSED [ 17%] 386s ../../../usr/lib/python3/dist-packages/statsmodels/multivariate/tests/test_multivariate_ols.py::test_L_M_matrices_1D_array PASSED [ 17%] 386s ../../../usr/lib/python3/dist-packages/statsmodels/multivariate/tests/test_multivariate_ols.py::test_exog_1D_array PASSED [ 17%] 386s ../../../usr/lib/python3/dist-packages/statsmodels/multivariate/tests/test_multivariate_ols.py::test_endog_1D_array PASSED [ 18%] 386s ../../../usr/lib/python3/dist-packages/statsmodels/multivariate/tests/test_multivariate_ols.py::test_affine_hypothesis PASSED [ 18%] 387s ../../../usr/lib/python3/dist-packages/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_smoke_plot_and_repr PASSED [ 18%] 388s ../../../usr/lib/python3/dist-packages/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_eig_svd_equiv PASSED [ 18%] 388s ../../../usr/lib/python3/dist-packages/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_options PASSED [ 18%] 388s ../../../usr/lib/python3/dist-packages/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_against_reference PASSED [ 18%] 388s ../../../usr/lib/python3/dist-packages/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_warnings_and_errors PASSED [ 18%] 389s ../../../usr/lib/python3/dist-packages/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_pandas PASSED [ 18%] 389s ../../../usr/lib/python3/dist-packages/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_gls_and_weights PASSED [ 18%] 389s ../../../usr/lib/python3/dist-packages/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_wide SKIPPED [ 18%] 389s ../../../usr/lib/python3/dist-packages/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_projection PASSED [ 18%] 390s ../../../usr/lib/python3/dist-packages/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_replace_missing PASSED [ 18%] 391s ../../../usr/lib/python3/dist-packages/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_rsquare PASSED [ 18%] 391s ../../../usr/lib/python3/dist-packages/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_missing_dataframe SKIPPED [ 18%] 391s ../../../usr/lib/python3/dist-packages/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_equivalence PASSED [ 18%] 391s ../../../usr/lib/python3/dist-packages/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_equivalence_full_matrices PASSED [ 18%] 391s ../../../usr/lib/python3/dist-packages/statsmodels/multivariate/tests/test_pca.py::test_missing PASSED [ 18%] 391s ../../../usr/lib/python3/dist-packages/statsmodels/multivariate/tests/test_pca.py::test_too_many_missing PASSED [ 18%] 391s ../../../usr/lib/python3/dist-packages/statsmodels/multivariate/tests/test_pca.py::test_gls_warning PASSED [ 18%] 391s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels[case0] PASSED [ 18%] 391s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels[case1] PASSED [ 18%] 391s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels[case2] PASSED [ 18%] 392s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels[case3] PASSED [ 18%] 392s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels[case4] PASSED [ 18%] 392s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels[case5] PASSED [ 18%] 392s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels[case6] PASSED [ 18%] 392s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels[case7] PASSED [ 18%] 392s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_vectorized[case0] PASSED [ 18%] 392s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_vectorized[case1] PASSED [ 18%] 392s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_vectorized[case2] PASSED [ 18%] 392s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_vectorized[case3] PASSED [ 18%] 392s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_vectorized[case4] PASSED [ 18%] 392s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_vectorized[case5] PASSED [ 18%] 392s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_vectorized[case6] PASSED [ 18%] 392s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_vectorized[case7] PASSED [ 18%] 392s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case0] PASSED [ 18%] 392s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case1] PASSED [ 18%] 392s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case2] PASSED [ 18%] 392s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case3] PASSED [ 18%] 392s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case4] PASSED [ 18%] 392s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case5] PASSED [ 18%] 392s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case6] PASSED [ 18%] 392s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case7] PASSED [ 18%] 392s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsUnit::test_kernels[case0] PASSED [ 18%] 392s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsUnit::test_kernels[case1] PASSED [ 18%] 392s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsUnit::test_kernels_vectorized[case0] PASSED [ 18%] 392s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsUnit::test_kernels_vectorized[case1] PASSED [ 18%] 392s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsUnit::test_kernels_weights[case0] PASSED [ 18%] 393s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsUnit::test_kernels_weights[case1] PASSED [ 18%] 393s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_bandwidths.py::TestBandwidthCalculation::test_calculate_bandwidth_gaussian PASSED [ 18%] 393s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_bandwidths.py::TestBandwidthCalculation::test_calculate_normal_reference_bandwidth PASSED [ 18%] 393s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_bandwidths.py::TestEpanechnikov::test_calculate_normal_reference_constant PASSED [ 18%] 393s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_bandwidths.py::TestGaussian::test_calculate_normal_reference_constant PASSED [ 18%] 393s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_bandwidths.py::TestBiweight::test_calculate_normal_reference_constant PASSED [ 18%] 393s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_bandwidths.py::TestTriweight::test_calculate_normal_reference_constant PASSED [ 18%] 393s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_bandwidths.py::TestAllBandwidthZero::test_bandwidth_zero PASSED [ 18%] 393s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_bandwidths.py::TestAnyBandwidthZero::test_bandwidth_zero PASSED [ 18%] 393s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEExceptions::test_check_is_fit_exception PASSED [ 18%] 393s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEExceptions::test_non_weighted_fft_exception PASSED [ 18%] 393s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEExceptions::test_wrong_weight_length_exception PASSED [ 18%] 393s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEExceptions::test_non_gaussian_fft_exception PASSED [ 18%] 393s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_density PASSED [ 18%] 393s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_evaluate PASSED [ 18%] 393s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_support_gridded PASSED [ 18%] 393s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_cdf_gridded PASSED [ 18%] 393s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_sf_gridded PASSED [ 18%] 393s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_icdf_gridded PASSED [ 18%] 393s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussPandas::test_density PASSED [ 18%] 393s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussPandas::test_evaluate PASSED [ 18%] 393s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussPandas::test_support_gridded PASSED [ 18%] 393s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussPandas::test_cdf_gridded PASSED [ 18%] 393s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussPandas::test_sf_gridded PASSED [ 18%] 393s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussPandas::test_icdf_gridded PASSED [ 18%] 393s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEEpanechnikov::test_density PASSED [ 18%] 393s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEEpanechnikov::test_evaluate PASSED [ 18%] 393s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDETriangular::test_density PASSED [ 18%] 393s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDETriangular::test_evaluate PASSED [ 18%] 393s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEBiweight::test_density PASSED [ 18%] 394s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEBiweight::test_evaluate PASSED [ 18%] 394s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKdeWeights::test_density PASSED [ 18%] 394s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKdeWeights::test_evaluate PASSED [ 18%] 394s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussFFT::test_density PASSED [ 18%] 394s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussFFT::test_evaluate PASSED [ 18%] 394s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWGauss::test_density XFAIL [ 18%] 394s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWGauss::test_evaluate PASSED [ 18%] 394s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWGauss::test_compare PASSED [ 18%] 394s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWGauss::test_kernel_constants PASSED [ 18%] 394s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWEpa::test_density XFAIL [ 18%] 394s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWEpa::test_evaluate PASSED [ 18%] 394s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWEpa::test_compare PASSED [ 18%] 394s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWEpa::test_kernel_constants PASSED [ 18%] 394s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWTri::test_density XFAIL [ 18%] 394s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWTri::test_evaluate PASSED [ 18%] 394s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWTri::test_compare PASSED [ 18%] 394s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWTri::test_kernel_constants PASSED [ 18%] 394s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWBiw::test_density XFAIL [ 18%] 394s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWBiw::test_evaluate PASSED [ 18%] 394s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWBiw::test_compare PASSED [ 18%] 394s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWBiw::test_kernel_constants PASSED [ 18%] 394s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos::test_density XFAIL [ 18%] 394s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos::test_evaluate SKIPPED [ 18%] 394s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos::test_compare PASSED [ 18%] 394s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos::test_kernel_constants PASSED [ 18%] 394s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos2::test_density XFAIL [ 18%] 394s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos2::test_evaluate PASSED [ 18%] 394s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos2::test_compare PASSED [ 18%] 394s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos2::test_kernel_constants PASSED [ 18%] 394s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestNormConstant::test_norm_constant_calculation PASSED [ 18%] 394s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::test_kde_bw_positive PASSED [ 18%] 394s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::test_fit_self PASSED [ 18%] 394s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDECustomBandwidth::test_check_is_fit_ok_with_custom_bandwidth PASSED [ 18%] 394s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDECustomBandwidth::test_check_is_fit_ok_with_standard_custom_bandwidth PASSED [ 18%] 394s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDECustomBandwidth::test_check_is_fit_ok_with_float_bandwidth[True] PASSED [ 18%] 394s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kde.py::TestKDECustomBandwidth::test_check_is_fit_ok_with_float_bandwidth[False] PASSED [ 18%] 394s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEUnivariate::test_pdf_non_fft PASSED [ 18%] 394s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEUnivariate::test_weighted_pdf_non_fft PASSED [ 18%] 394s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEUnivariate::test_all_samples_same_location_bw PASSED [ 18%] 394s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEUnivariate::test_int PASSED [ 18%] 394s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_pdf_mixeddata_CV_LS SKIPPED [ 18%] 394s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_pdf_mixeddata_LS_vs_ML SKIPPED [ 18%] 395s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_pdf_mixeddata_CV_ML PASSED [ 18%] 395s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_pdf_continuous SKIPPED [ 18%] 395s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_pdf_ordered PASSED [ 18%] 395s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_unordered_CV_LS SKIPPED [ 18%] 395s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_continuous_cdf PASSED [ 18%] 395s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_mixeddata_cdf PASSED [ 18%] 395s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_continuous_cvls_efficient SKIPPED [ 18%] 395s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_continuous_cvml_efficient SKIPPED [ 18%] 395s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_efficient_notrandom SKIPPED [ 18%] 395s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_efficient_user_specified_bw PASSED [ 18%] 395s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_mixeddata_CV_LS SKIPPED [ 18%] 395s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_continuous_CV_ML PASSED [ 18%] 395s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_unordered_CV_LS SKIPPED [ 18%] 395s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_pdf_continuous PASSED [ 18%] 395s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_pdf_mixeddata SKIPPED [ 18%] 395s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_continuous_normal_ref PASSED [ 18%] 395s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_continuous_cdf PASSED [ 18%] 395s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_mixeddata_cdf SKIPPED [ 18%] 395s ../../../usr/lib/python3/dist-packages/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_continuous_cvml_efficient SKIPPED [ 18%] 395s 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../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestMadAxes::test_axisneg1 PASSED [ 26%] 479s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestIqr::test_iqr PASSED [ 26%] 479s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestIqr::test_iqr_empty PASSED [ 26%] 479s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestIqrAxes::test_axis0 PASSED [ 26%] 479s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestIqrAxes::test_axis1 PASSED [ 26%] 479s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestIqrAxes::test_axis2 PASSED [ 26%] 479s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestIqrAxes::test_axisneg1 PASSED [ 26%] 479s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestQn::test_qn_naive PASSED [ 26%] 479s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestQn::test_qn_robustbase PASSED [ 26%] 479s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestQn::test_qn_empty PASSED [ 26%] 479s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestQnAxes::test_axis0 PASSED [ 26%] 479s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestQnAxes::test_axis1 PASSED [ 26%] 479s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestQnAxes::test_axis2 PASSED [ 26%] 480s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestQnAxes::test_axisneg1 PASSED [ 26%] 480s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestHuber::test_huber_result_shape PASSED [ 26%] 480s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestHuberAxes::test_default PASSED [ 26%] 480s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestHuberAxes::test_axis1 PASSED [ 26%] 480s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestHuberAxes::test_axis2 PASSED [ 26%] 480s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::TestHuberAxes::test_axisneg1 PASSED [ 26%] 480s ../../../usr/lib/python3/dist-packages/statsmodels/robust/tests/test_scale.py::test_mad_axis_none PASSED [ 26%] 480s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_extras.py::test_skewnorm PASSED [ 26%] 480s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_extras.py::test_skewt PASSED [ 26%] 480s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_gof_new.py::test_loop_vectorized_batch_equivalence PASSED [ 26%] 480s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_multivariate.py::Test_MVN_MVT_prob::test_mvn_mvt_1 PASSED [ 26%] 480s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_multivariate.py::Test_MVN_MVT_prob::test_mvn_mvt_2 PASSED [ 26%] 480s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_multivariate.py::Test_MVN_MVT_prob::test_mvn_mvt_3 PASSED [ 26%] 480s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_multivariate.py::Test_MVN_MVT_prob::test_mvn_mvt_4 PASSED [ 26%] 480s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_multivariate.py::Test_MVN_MVT_prob::test_mvn_mvt_5 PASSED [ 26%] 480s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_multivariate.py::TestMVDistributions::test_mvn_pdf PASSED [ 26%] 480s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_multivariate.py::TestMVDistributions::test_mvt_pdf PASSED [ 26%] 480s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormMom::test_dist1 PASSED [ 26%] 480s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormMom::test_cdf_ppf_roundtrip PASSED [ 26%] 480s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormMom::test_pdf PASSED [ 26%] 480s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormMom::test_mvsk PASSED [ 26%] 481s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormSample::test_ks PASSED [ 26%] 481s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormSample::test_mvsk PASSED [ 26%] 481s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_transf.py::Test_Transf2::test_equivalent PASSED [ 26%] 481s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/distributions/tests/test_transf.py::Test_Transf2::test_equivalent_negsq PASSED [ 26%] 486s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/nonparametric/tests/test_kernel_extras.py::TestSemiLinear::test_basic PASSED [ 26%] 486s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother1::test_predict PASSED [ 26%] 486s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother1::test_coef PASSED [ 26%] 486s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother1::test_df PASSED [ 26%] 486s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother2::test_predict PASSED [ 26%] 486s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother2::test_coef PASSED [ 26%] 486s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother2::test_df PASSED [ 26%] 486s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother3::test_predict PASSED [ 26%] 486s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother3::test_coef PASSED [ 26%] 486s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother3::test_df PASSED [ 26%] 486s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/panel/tests/test_random_panel.py::test_short_panel PASSED [ 26%] 486s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::test_iv2sls_r PASSED [ 26%] 486s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::test_ivgmm0_r PASSED [ 26%] 486s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::test_ivgmm1_stata PASSED [ 26%] 486s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMOLS::test_basic PASSED [ 26%] 486s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMOLS::test_other XFAIL [ 26%] 486s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt1::test_basic PASSED [ 26%] 486s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt1::test_other PASSED [ 26%] 486s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt1::test_hypothesis PASSED [ 26%] 486s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt1::test_summary PASSED [ 27%] 487s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt1::test_use_t PASSED [ 27%] 487s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostep::test_basic PASSED [ 27%] 487s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostep::test_other PASSED [ 27%] 487s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostep::test_hypothesis PASSED [ 27%] 487s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostep::test_summary PASSED [ 27%] 487s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostep::test_use_t PASSED [ 27%] 487s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostepNO::test_basic PASSED [ 27%] 487s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostepNO::test_other PASSED [ 27%] 487s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostepNO::test_hypothesis PASSED [ 27%] 487s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostepNO::test_summary PASSED [ 27%] 487s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostepNO::test_use_t PASSED [ 27%] 487s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_basic PASSED [ 27%] 487s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_hypothesis PASSED [ 27%] 487s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_summary PASSED [ 27%] 487s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_use_t PASSED [ 27%] 487s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_bse_other PASSED [ 27%] 487s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_other XFAIL [ 27%] 487s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestepNO::test_basic PASSED [ 27%] 487s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestepNO::test_hypothesis PASSED [ 27%] 487s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestepNO::test_summary PASSED [ 27%] 487s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestepNO::test_use_t PASSED [ 27%] 487s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestepNO::test_other XFAIL [ 27%] 487s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_basic PASSED [ 27%] 487s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_hypothesis PASSED [ 27%] 487s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_summary PASSED [ 27%] 487s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_use_t PASSED [ 27%] 487s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_other XFAIL [ 27%] 488s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_bse_other PASSED [ 27%] 488s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO::test_basic PASSED [ 27%] 488s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO::test_hypothesis PASSED [ 27%] 488s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO::test_summary PASSED [ 27%] 488s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO::test_use_t PASSED [ 27%] 488s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO::test_other XFAIL [ 27%] 488s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Linear::test_basic PASSED [ 27%] 488s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Linear::test_hypothesis PASSED [ 27%] 488s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Linear::test_summary PASSED [ 27%] 488s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Linear::test_use_t PASSED [ 27%] 488s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Linear::test_other XFAIL [ 27%] 488s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_basic PASSED [ 27%] 488s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_hypothesis PASSED [ 27%] 488s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_summary PASSED [ 27%] 488s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_use_t PASSED [ 27%] 488s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_other XFAIL [ 27%] 488s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_score PASSED [ 27%] 488s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterOLS_Linear::test_basic PASSED [ 27%] 488s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterOLS_Linear::test_hypothesis PASSED [ 27%] 488s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterOLS_Linear::test_summary PASSED [ 27%] 488s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterOLS_Linear::test_use_t PASSED [ 27%] 488s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterOLS_Linear::test_other XFAIL [ 27%] 488s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt2::test_basic PASSED [ 27%] 488s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_basic PASSED [ 27%] 488s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_other PASSED [ 27%] 488s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_hypothesis PASSED [ 27%] 488s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_hausman PASSED [ 27%] 488s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_summary PASSED [ 27%] 488s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_input_dimensions PASSED [ 27%] 488s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::test_noconstant PASSED [ 27%] 488s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm.py::test_gmm_basic PASSED [ 27%] 488s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddOnestep::test_basic PASSED [ 27%] 488s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddOnestep::test_other PASSED [ 27%] 488s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddOnestep::test_summary PASSED [ 27%] 488s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddTwostep::test_basic PASSED [ 27%] 488s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddTwostep::test_other PASSED [ 27%] 488s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddTwostep::test_summary PASSED [ 27%] 489s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultOnestep::test_basic PASSED [ 27%] 489s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultOnestep::test_other PASSED [ 27%] 489s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultOnestep::test_summary PASSED [ 27%] 489s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostep::test_basic PASSED [ 27%] 489s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostep::test_other PASSED [ 27%] 489s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostep::test_summary PASSED [ 27%] 489s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepDefault::test_basic PASSED [ 27%] 489s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepDefault::test_other PASSED [ 27%] 489s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepDefault::test_summary PASSED [ 27%] 489s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepCenter::test_basic PASSED [ 27%] 489s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepCenter::test_other PASSED [ 27%] 489s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepCenter::test_summary PASSED [ 27%] 489s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepCenter::test_more PASSED [ 27%] 489s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/stats/tests/test_multicomp.py::test_tukey_pvalues PASSED [ 27%] 489s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/stats/tests/test_runs.py::test_mean_cutoff PASSED [ 27%] 489s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/stats/tests/test_runs.py::test_median_cutoff PASSED [ 27%] 489s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/stats/tests/test_runs.py::test_numeric_cutoff PASSED [ 27%] 489s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestAdditiveModel::test_predict PASSED [ 27%] 489s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestAdditiveModel::test_params PASSED [ 27%] 489s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestAdditiveModel::test_df XFAIL [ 27%] 489s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestAdditiveModel::test_fitted PASSED [ 27%] 489s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMPoisson::test_predict PASSED [ 27%] 489s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMPoisson::test_fitted XFAIL [ 27%] 489s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMPoisson::test_params PASSED [ 27%] 489s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMPoisson::test_df XFAIL [ 27%] 489s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMPoisson::test_mu PASSED [ 27%] 489s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMPoisson::test_prediction PASSED [ 27%] 489s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMBinomial::test_predict PASSED [ 27%] 489s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMBinomial::test_fitted XFAIL [ 27%] 489s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMBinomial::test_params PASSED [ 27%] 489s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMBinomial::test_df XFAIL [ 27%] 489s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMBinomial::test_mu PASSED [ 27%] 489s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMBinomial::test_prediction PASSED [ 27%] 490s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_predict XFAIL [ 27%] 490s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_fitted XFAIL [ 27%] 490s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_params XFAIL [ 27%] 490s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_df XFAIL [ 27%] 490s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_mu XFAIL [ 27%] 490s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_prediction XFAIL [ 27%] 490s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGamma::test_predict PASSED [ 27%] 490s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGamma::test_fitted XFAIL [ 27%] 490s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGamma::test_params PASSED [ 27%] 490s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGamma::test_df XFAIL [ 27%] 490s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGamma::test_mu PASSED [ 27%] 490s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMGamma::test_prediction PASSED [ 27%] 490s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_predict XFAIL [ 27%] 490s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_params XFAIL [ 27%] 490s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_mu XFAIL [ 27%] 490s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_prediction XFAIL [ 27%] 491s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_fitted XFAIL [ 27%] 491s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_df XFAIL [ 27%] 491s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_pca.py::test_pca_princomp PASSED [ 27%] 491s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_pca.py::test_pca_svd PASSED [ 27%] 491s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_predict_functional.py::TestPredFunc::test_formula PASSED [ 27%] 491s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_predict_functional.py::TestPredFunc::test_lm_contrast PASSED [ 27%] 491s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_predict_functional.py::TestPredFunc::test_glm_formula_contrast PASSED [ 27%] 491s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_predict_functional.py::TestPredFunc::test_scb PASSED [ 27%] 491s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_predict_functional.py::TestPredFunc::test_glm_formula PASSED [ 27%] 491s ../../../usr/lib/python3/dist-packages/statsmodels/sandbox/tests/test_predict_functional.py::TestPredFunc::test_noformula_prediction PASSED [ 27%] 491s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_scalar PASSED [ 27%] 491s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_vector PASSED [ 27%] 491s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_invalid_parameters PASSED [ 27%] 491s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_handful_to_tbl PASSED [ 27%] 491s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_all_to_tbl SKIPPED [ 27%] 491s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_handful_to_ch PASSED [ 27%] 491s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_10000_to_ch SKIPPED [ 27%] 491s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_scalar PASSED [ 27%] 491s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_vector PASSED [ 27%] 491s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_v_equal_one PASSED [ 27%] 491s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_invalid_parameters PASSED [ 27%] 491s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_handful_to_known_values PASSED [ 27%] 491s ../../../usr/lib/python3/dist-packages/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_100_random_values SKIPPED [ 27%] 491s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnovaLM::test_results PASSED [ 27%] 491s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnovaLMNoconstant::test_results PASSED [ 27%] 491s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnovaLMCompare::test_results PASSED [ 27%] 491s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnovaLMCompareNoconstant::test_results PASSED [ 27%] 491s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova2::test_results PASSED [ 27%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova2Noconstant::test_results PASSED [ 27%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova2HC0::test_results PASSED [ 27%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova2HC1::test_results PASSED [ 27%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova2HC2::test_results PASSED [ 27%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova2HC3::test_results PASSED [ 27%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova3::test_results PASSED [ 27%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova3HC0::test_results PASSED [ 27%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova3HC1::test_results PASSED [ 27%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova3HC2::test_results PASSED [ 27%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova.py::TestAnova3HC3::test_results PASSED [ 27%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_single_factor_repeated_measures_anova PASSED [ 27%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_two_factors_repeated_measures_anova PASSED [ 27%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_three_factors_repeated_measures_anova PASSED [ 27%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_invalid_factor_name PASSED [ 27%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_collinearity PASSED [ 27%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_unbalanced_data PASSED [ 27%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_aggregation PASSED [ 27%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_aggregation_one_subject_duplicated PASSED [ 27%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_aggregate_func PASSED [ 27%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_aggregate_func_mean PASSED [ 27%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_aggregate_compare_with_ezANOVA PASSED [ 27%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_base.py::test_holdertuple PASSED [ 27%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_base.py::test_holdertuple2 PASSED [ 27%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_homogeneity PASSED [ 27%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_SquareTable_from_data PASSED [ 27%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_SquareTable_nonsquare PASSED [ 27%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_cumulative_odds PASSED [ 27%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_local_odds PASSED [ 27%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_shifting PASSED [ 27%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_stratified_table_cube PASSED [ 27%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_resids PASSED [ 27%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_ordinal_association PASSED [ 27%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_chi2_association PASSED [ 27%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_symmetry PASSED [ 27%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_mcnemar PASSED [ 27%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_from_data_stratified PASSED [ 27%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_from_data_2x2 PASSED [ 27%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::test_cochranq PASSED [ 27%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_oddsratio_pooled PASSED [ 28%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_logodds_pooled PASSED [ 28%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_null_odds PASSED [ 28%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_oddsratio_pooled_confint PASSED [ 28%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_logodds_pooled_confint PASSED [ 28%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_equal_odds PASSED [ 28%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_pandas PASSED [ 28%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_from_data PASSED [ 28%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_oddsratio_pooled PASSED [ 28%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_logodds_pooled PASSED [ 28%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_null_odds PASSED [ 28%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_oddsratio_pooled_confint PASSED [ 28%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_logodds_pooled_confint PASSED [ 28%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_equal_odds PASSED [ 28%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_pandas PASSED [ 28%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_from_data PASSED [ 28%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_oddsratio_pooled PASSED [ 28%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_logodds_pooled PASSED [ 28%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_null_odds PASSED [ 28%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_oddsratio_pooled_confint PASSED [ 28%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_logodds_pooled_confint PASSED [ 28%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_equal_odds PASSED [ 28%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_pandas PASSED [ 28%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_from_data PASSED [ 28%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_oddsratio PASSED [ 28%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_log_oddsratio PASSED [ 28%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_log_oddsratio_se PASSED [ 28%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_oddsratio_pvalue PASSED [ 28%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_oddsratio_confint PASSED [ 28%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_riskratio PASSED [ 28%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_log_riskratio PASSED [ 28%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_log_riskratio_se PASSED [ 28%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_riskratio_pvalue PASSED [ 28%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_riskratio_confint PASSED [ 28%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_log_riskratio_confint PASSED [ 28%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_from_data PASSED [ 28%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_summary PASSED [ 28%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contrast.py::TestContrast::test_contrast1 PASSED [ 28%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contrast.py::TestContrast::test_contrast2 PASSED [ 28%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contrast.py::TestContrast::test_contrast3 PASSED [ 28%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contrast.py::TestContrast::test_estimable PASSED [ 28%] 492s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_contrast.py::test_constraints PASSED [ 28%] 493s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_correlation.py::test_kernel_covariance PASSED [ 28%] 493s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::test_corr_psd PASSED [ 28%] 493s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::TestCovPSD::test_cov_nearest PASSED [ 28%] 493s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::TestCorrPSD1::test_nearest PASSED [ 28%] 493s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::TestCorrPSD1::test_clipped PASSED [ 28%] 493s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::TestCorrPSD1::test_cov_nearest PASSED [ 28%] 493s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::test_corrpsd_threshold[0] PASSED [ 28%] 493s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-15] PASSED [ 28%] 493s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-10] PASSED [ 28%] 493s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-06] PASSED [ 28%] 493s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_corr_nearest_factor_arrpack PASSED [ 28%] 494s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_corr_nearest_factor[1] PASSED [ 28%] 496s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_corr_nearest_factor[2] PASSED [ 28%] 496s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_corr_nearest_factor_sparse[1] SKIPPED [ 28%] 496s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_corr_nearest_factor_sparse[2] SKIPPED [ 28%] 497s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_spg_optim PASSED [ 28%] 497s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_decorrelate PASSED [ 28%] 497s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_logdet PASSED [ 28%] 497s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_solve PASSED [ 28%] 497s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_cov_nearest_factor_homog[1] PASSED [ 28%] 497s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_cov_nearest_factor_homog[2] PASSED [ 28%] 497s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_cov_nearest_factor_homog_sparse[1] PASSED [ 28%] 497s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_cov_nearest_factor_homog_sparse[2] PASSED [ 28%] 498s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_corr_thresholded PASSED [ 28%] 498s 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510s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion_types[mnc2mc0] PASSED [ 29%] 510s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion_types[mnc2mc1] PASSED [ 29%] 510s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion_types[mvsk2mc] PASSED [ 29%] 510s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion_types[mvsk2mnc] PASSED [ 29%] 510s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[BH-val0] PASSED [ 29%] 510s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[BY-val1] PASSED [ 30%] 510s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[Bonferroni-val2] PASSED [ 30%] 510s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[Hochberg-val3] PASSED [ 30%] 510s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[Holm-val4] PASSED [ 30%] 510s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[SidakSD-val5] PASSED [ 30%] 510s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[SidakSS-val6] PASSED [ 30%] 510s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[TSBH_0.05-val7] PASSED [ 30%] 510s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[rawp-val8] PASSED [ 30%] 510s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection PASSED [ 30%] 510s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[BH-val0] PASSED [ 30%] 510s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[BY-val1] PASSED [ 30%] 510s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[Bonferroni-val2] PASSED [ 30%] 510s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[Hochberg-val3] PASSED [ 30%] 511s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[Holm-val4] PASSED [ 30%] 511s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[SidakSD-val5] PASSED [ 30%] 511s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[SidakSS-val6] PASSED [ 30%] 511s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[TSBH_0.05-val7] PASSED [ 30%] 511s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[rawp-val8] PASSED [ 30%] 511s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection PASSED [ 30%] 511s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[BH-val0] PASSED [ 30%] 511s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[BY-val1] PASSED [ 30%] 511s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[Bonferroni-val2] PASSED [ 30%] 511s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[Hochberg-val3] PASSED [ 30%] 512s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[Holm-val4] PASSED [ 30%] 512s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[SidakSD-val5] PASSED [ 30%] 512s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[SidakSS-val6] PASSED [ 30%] 512s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[TSBH_0.05-val7] PASSED [ 30%] 512s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[rawp-val8] PASSED [ 30%] 512s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection PASSED [ 30%] 512s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[BH-val0] PASSED [ 30%] 512s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[BY-val1] PASSED [ 30%] 512s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[Bonferroni-val2] PASSED [ 30%] 512s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[Hochberg-val3] PASSED [ 30%] 512s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[Holm-val4] PASSED [ 30%] 512s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[SidakSD-val5] PASSED [ 30%] 512s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[SidakSS-val6] PASSED [ 30%] 512s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[TSBH_0.05-val7] PASSED [ 30%] 512s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[rawp-val8] PASSED [ 30%] 512s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection PASSED [ 30%] 512s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-b-0.01] PASSED [ 30%] 512s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-b-0.05] PASSED [ 30%] 512s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-b-0.1] PASSED [ 30%] 512s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-s-0.01] PASSED [ 30%] 512s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-s-0.05] PASSED [ 30%] 512s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-s-0.1] PASSED [ 30%] 512s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-sh-0.01] PASSED [ 30%] 512s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-sh-0.05] PASSED [ 30%] 512s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-sh-0.1] PASSED [ 30%] 512s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-hs-0.01] PASSED [ 30%] 512s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-hs-0.05] PASSED [ 30%] 512s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-hs-0.1] PASSED [ 30%] 513s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-h-0.01] PASSED [ 30%] 513s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-h-0.05] PASSED [ 30%] 514s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-h-0.1] PASSED [ 30%] 514s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-hommel-0.01] PASSED [ 30%] 514s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-hommel-0.05] PASSED [ 30%] 514s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-hommel-0.1] PASSED [ 30%] 514s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_i-0.01] PASSED [ 30%] 514s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_i-0.05] PASSED [ 30%] 514s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_i-0.1] PASSED [ 30%] 514s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_n-0.01] PASSED [ 30%] 514s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_n-0.05] PASSED [ 30%] 514s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_n-0.1] PASSED [ 30%] 514s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_tsbky-0.01] PASSED [ 30%] 514s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_tsbky-0.05] PASSED [ 30%] 514s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_tsbky-0.1] PASSED [ 30%] 514s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_tsbh-0.01] PASSED [ 30%] 514s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_tsbh-0.05] PASSED [ 30%] 514s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_tsbh-0.1] PASSED [ 30%] 514s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_gbs-0.01] PASSED [ 30%] 514s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_gbs-0.05] PASSED [ 30%] 514s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_gbs-0.1] PASSED [ 30%] 514s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-b-0.01] PASSED [ 30%] 514s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-b-0.05] PASSED [ 30%] 514s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-b-0.1] PASSED [ 30%] 514s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-s-0.01] PASSED [ 30%] 514s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-s-0.05] PASSED [ 30%] 514s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-s-0.1] PASSED [ 30%] 514s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-sh-0.01] PASSED [ 30%] 514s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-sh-0.05] PASSED [ 30%] 514s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-sh-0.1] PASSED [ 30%] 514s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-hs-0.01] PASSED [ 30%] 514s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-hs-0.05] PASSED [ 30%] 514s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-hs-0.1] PASSED [ 30%] 514s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-h-0.01] PASSED [ 30%] 515s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-h-0.05] PASSED [ 30%] 515s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-h-0.1] PASSED [ 30%] 515s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-hommel-0.01] PASSED [ 30%] 515s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-hommel-0.05] PASSED [ 30%] 515s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-hommel-0.1] PASSED [ 30%] 515s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_i-0.01] PASSED [ 30%] 516s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_i-0.05] PASSED [ 30%] 516s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_i-0.1] PASSED [ 30%] 516s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_n-0.01] PASSED [ 30%] 516s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_n-0.05] PASSED [ 30%] 516s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_n-0.1] PASSED [ 30%] 516s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_tsbky-0.01] PASSED [ 30%] 516s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_tsbky-0.05] PASSED [ 30%] 516s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_tsbky-0.1] PASSED [ 30%] 516s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_tsbh-0.01] PASSED [ 30%] 516s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_tsbh-0.05] PASSED [ 30%] 516s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_tsbh-0.1] PASSED [ 30%] 516s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_gbs-0.01] PASSED [ 30%] 516s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_gbs-0.05] PASSED [ 30%] 516s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_gbs-0.1] PASSED [ 30%] 516s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-b-0.01] PASSED [ 30%] 516s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-b-0.05] PASSED [ 30%] 516s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-b-0.1] PASSED [ 30%] 516s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-s-0.01] PASSED [ 30%] 516s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-s-0.05] PASSED [ 30%] 516s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-s-0.1] PASSED [ 30%] 516s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-sh-0.01] PASSED [ 30%] 516s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-sh-0.05] PASSED [ 30%] 516s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-sh-0.1] PASSED [ 30%] 516s 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../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS2::test_roots PASSED [ 33%] 550s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS2::test_power_plot PASSED [ 33%] 550s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS3::test_power PASSED [ 33%] 550s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS3::test_positional PASSED [ 33%] 550s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS3::test_roots PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS3::test_power_plot PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS4::test_power PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS4::test_positional PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS4::test_roots PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS4::test_power_plot PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS5::test_power PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS5::test_positional PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS5::test_roots PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS5::test_power_plot PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS6::test_power PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS6::test_positional PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS6::test_roots PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS6::test_power_plot PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::test_normal_power_explicit PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestNormalIndPower1::test_power PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestNormalIndPower1::test_positional PASSED [ 33%] 551s 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../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestChisquarePower::test_power PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestChisquarePower::test_roots PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestChisquarePower::test_power_plot PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestChisquarePower::test_positional PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::test_ftest_power PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestFtestAnovaPower::test_power PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestFtestAnovaPower::test_positional PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestFtestAnovaPower::test_roots PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestFtestAnovaPower::test_power_plot PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestFtestPower::test_power PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestFtestPower::test_positional PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestFtestPower::test_roots PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestFtestPower::test_power_plot SKIPPED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestFtestPower::test_kwargs PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestFtestPowerF2::test_power PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestFtestPowerF2::test_positional PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestFtestPowerF2::test_roots PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::TestFtestPowerF2::test_power_plot SKIPPED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::test_power_solver PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::test_power_solver_warn XFAIL [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_power.py::test_normal_sample_size_one_tail PASSED [ 33%] 551s 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../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[agresti_coull-case6] PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[agresti_coull-case7] PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[normal-case0] PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[normal-case1] PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[normal-case2] PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[normal-case3] PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[normal-case4] PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[normal-case5] PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[normal-case6] PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[normal-case7] PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case0] PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case1] PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case2] PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case3] PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case4] PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case5] PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case6] PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case7] PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case0] PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case1] PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case2] PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case3] PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case4] PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case5] PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case6] PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case7] PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case0] PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case1] PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case2] PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case3] SKIPPED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case4] SKIPPED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case5] SKIPPED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case6] SKIPPED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case7] SKIPPED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion_ndim[agresti_coull] PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion_ndim[normal] PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion_ndim[beta] PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion_ndim[wilson] PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_proportion_ndim[jeffreys] PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_samplesize_confidenceinterval_prop PASSED [ 33%] 551s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_proportion_effect_size PASSED [ 33%] 553s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_multinomial_proportions PASSED [ 33%] 553s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_multinomial_proportions_errors PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_multinomial_proportions_zeros PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::TestProportion::test_proptest PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::TestProportion::test_pairwiseproptest PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::TestProportion::test_number_pairs_1493 PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::TestProportion::test_default_values PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::TestProportion::test_scalar PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_binom_test PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_binom_rejection_interval PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_binom_tost PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_power_binom_tost PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_power_ztost_prop PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ztost PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_power_ztost_prop_norm PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_proportion_ztests PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_2indep PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_confint_2indep_propcis PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_score_test_2indep PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_test_2indep PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_equivalence_2indep PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_score_confint_koopman_nam PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_power_2indep PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count0] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count1] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count2] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count3] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count4] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count5] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count6] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count7] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count8] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count9] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count10] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count11] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count12] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count13] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count14] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count15] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count0] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count1] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count2] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count3] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count4] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count5] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count6] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count7] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count8] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count9] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count10] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count11] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count12] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count13] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count14] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count15] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count0] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count1] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count2] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count3] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count4] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count5] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count6] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count7] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count8] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count9] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count10] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count11] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count12] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count13] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count14] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count15] PASSED [ 33%] 554s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count0] PASSED [ 33%] 555s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count1] PASSED [ 34%] 555s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count2] PASSED [ 34%] 555s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count3] PASSED [ 34%] 555s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count4] PASSED [ 34%] 555s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count5] PASSED [ 34%] 555s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count6] PASSED [ 34%] 555s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count7] PASSED [ 34%] 555s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count8] PASSED [ 34%] 555s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count9] PASSED [ 34%] 555s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count10] PASSED [ 34%] 555s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count11] PASSED [ 34%] 555s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count12] PASSED [ 34%] 555s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count13] PASSED [ 34%] 555s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count14] PASSED [ 34%] 555s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count15] PASSED [ 34%] 555s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count0] PASSED [ 34%] 555s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count1] PASSED [ 34%] 555s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count2] PASSED [ 34%] 555s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count3] PASSED [ 34%] 555s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count4] PASSED [ 34%] 555s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count5] PASSED [ 34%] 555s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count6] PASSED [ 34%] 555s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count7] PASSED [ 34%] 555s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count8] PASSED [ 34%] 555s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count9] PASSED [ 34%] 555s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count10] PASSED [ 34%] 555s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count11] PASSED [ 34%] 555s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count12] PASSED [ 34%] 555s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count13] PASSED [ 34%] 555s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count14] PASSED [ 34%] 555s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count15] PASSED [ 34%] 555s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count0] PASSED [ 34%] 555s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count1] PASSED [ 34%] 555s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count2] PASSED [ 34%] 555s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count3] PASSED [ 34%] 555s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count4] PASSED [ 34%] 555s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count5] PASSED [ 34%] 556s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count6] PASSED [ 34%] 556s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count7] PASSED [ 34%] 556s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count8] PASSED [ 34%] 556s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count9] PASSED [ 34%] 556s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count10] PASSED [ 34%] 556s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count11] PASSED [ 34%] 556s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count12] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count13] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count14] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count15] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count0] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count1] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count2] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count3] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count4] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count5] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count6] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count7] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count8] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count9] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count10] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count11] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count12] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count13] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count14] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count15] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count0] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count1] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count2] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count3] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count4] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count5] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count6] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count7] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count8] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count9] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count10] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count11] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count12] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count13] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count14] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count15] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count0] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count1] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count2] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count3] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count4] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count5] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count6] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count7] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count8] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count9] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count10] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count11] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count12] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count13] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count14] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count15] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count0] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count1] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count2] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count3] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count4] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count5] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count6] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count7] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count8] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count9] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count10] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count11] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count12] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count13] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count14] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count15] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count0] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count1] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count2] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count3] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count4] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count5] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count6] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count7] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count8] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count9] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count10] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count11] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count12] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count13] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count14] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count15] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count0] PASSED [ 34%] 557s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count1] PASSED [ 34%] 558s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count2] PASSED [ 34%] 558s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count3] PASSED [ 34%] 558s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count4] PASSED [ 34%] 558s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count5] PASSED [ 34%] 558s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count6] PASSED [ 34%] 558s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count7] PASSED [ 34%] 558s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count8] PASSED [ 34%] 559s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count9] PASSED [ 34%] 559s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count10] PASSED [ 34%] 559s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count11] PASSED [ 34%] 559s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count12] PASSED [ 34%] 559s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count13] PASSED [ 34%] 559s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count14] PASSED [ 34%] 559s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count15] PASSED [ 34%] 559s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count0-47] PASSED [ 34%] 560s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count0-50] PASSED [ 34%] 560s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count1-47] PASSED [ 34%] 560s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count1-50] PASSED [ 34%] 560s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count2-47] PASSED [ 34%] 560s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count2-50] PASSED [ 34%] 560s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count3-47] PASSED [ 34%] 560s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count3-50] PASSED [ 34%] 560s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count4-47] PASSED [ 34%] 560s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count4-50] PASSED [ 34%] 561s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count5-47] PASSED [ 34%] 561s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count5-50] PASSED [ 34%] 561s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count6-47] PASSED [ 34%] 561s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count6-50] PASSED [ 34%] 561s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count7-47] PASSED [ 34%] 561s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count7-50] PASSED [ 34%] 561s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count8-47] PASSED [ 34%] 562s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count8-50] PASSED [ 34%] 562s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count9-47] PASSED [ 34%] 562s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count9-50] PASSED [ 34%] 562s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count10-47] PASSED [ 34%] 562s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count10-50] PASSED [ 34%] 562s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count11-47] PASSED [ 34%] 562s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count11-50] PASSED [ 34%] 563s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count12-47] PASSED [ 34%] 563s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count12-50] PASSED [ 34%] 563s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count13-47] PASSED [ 34%] 563s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count13-50] PASSED [ 34%] 563s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count14-47] PASSED [ 34%] 563s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count14-50] PASSED [ 34%] 563s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count15-47] PASSED [ 34%] 564s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count15-50] PASSED [ 34%] 564s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count16-47] PASSED [ 34%] 564s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count16-50] PASSED [ 34%] 564s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count17-47] PASSED [ 34%] 564s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count17-50] PASSED [ 34%] 564s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count18-47] PASSED [ 34%] 564s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count18-50] PASSED [ 35%] 565s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count19-47] PASSED [ 35%] 565s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count19-50] PASSED [ 35%] 565s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count20-47] PASSED [ 35%] 565s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count20-50] PASSED [ 35%] 565s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count21-47] PASSED [ 35%] 565s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count21-50] PASSED [ 35%] 566s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count22-47] PASSED [ 35%] 566s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count22-50] PASSED [ 35%] 566s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count23-47] PASSED [ 35%] 566s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count23-50] PASSED [ 35%] 566s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count24-47] PASSED [ 35%] 566s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count24-50] PASSED [ 35%] 566s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count25-47] PASSED [ 35%] 567s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count25-50] PASSED [ 35%] 567s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count26-47] PASSED [ 35%] 567s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count26-50] PASSED [ 35%] 567s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count27-47] PASSED [ 35%] 567s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count27-50] PASSED [ 35%] 567s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count28-47] PASSED [ 35%] 567s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count28-50] PASSED [ 35%] 568s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count29-47] PASSED [ 35%] 568s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count29-50] PASSED [ 35%] 568s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count30-47] PASSED [ 35%] 568s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count30-50] PASSED [ 35%] 568s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count31-47] PASSED [ 35%] 568s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count31-50] PASSED [ 35%] 569s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count32-47] PASSED [ 35%] 569s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count32-50] PASSED [ 35%] 569s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count33-47] PASSED [ 35%] 569s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count33-50] PASSED [ 35%] 569s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count34-47] PASSED [ 35%] 569s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count34-50] PASSED [ 35%] 569s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count35-47] PASSED [ 35%] 570s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count35-50] PASSED [ 35%] 570s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count36-47] PASSED [ 35%] 570s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count36-50] PASSED [ 35%] 570s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count37-47] PASSED [ 35%] 570s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count37-50] PASSED [ 35%] 570s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count38-47] PASSED [ 35%] 570s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count38-50] PASSED [ 35%] 571s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count39-47] PASSED [ 35%] 571s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count39-50] PASSED [ 35%] 571s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count40-47] PASSED [ 35%] 571s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count40-50] PASSED [ 35%] 571s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count41-47] PASSED [ 35%] 571s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count41-50] PASSED [ 35%] 571s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count42-47] PASSED [ 35%] 572s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count42-50] PASSED [ 35%] 572s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count43-47] PASSED [ 35%] 572s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count43-50] PASSED [ 35%] 572s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count44-47] PASSED [ 35%] 572s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count44-50] PASSED [ 35%] 572s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count45-47] PASSED [ 35%] 572s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count45-50] PASSED [ 35%] 572s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count46-47] PASSED [ 35%] 572s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count46-50] PASSED [ 35%] 573s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count47-47] PASSED [ 35%] 573s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count47-50] PASSED [ 35%] 573s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count0-47] PASSED [ 35%] 573s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count0-50] PASSED [ 35%] 574s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count1-47] PASSED [ 35%] 574s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count1-50] PASSED [ 35%] 574s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count2-47] PASSED [ 35%] 574s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count2-50] PASSED [ 35%] 575s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count3-47] PASSED [ 35%] 575s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count3-50] PASSED [ 35%] 575s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count4-47] PASSED [ 35%] 576s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count4-50] PASSED [ 35%] 576s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count5-47] PASSED [ 35%] 576s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count5-50] PASSED [ 35%] 577s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count6-47] PASSED [ 35%] 577s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count6-50] PASSED [ 35%] 578s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count7-47] PASSED [ 35%] 578s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count7-50] PASSED [ 35%] 579s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count8-47] PASSED [ 35%] 579s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count8-50] PASSED [ 35%] 579s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count9-47] PASSED [ 35%] 580s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count9-50] PASSED [ 35%] 580s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count10-47] PASSED [ 35%] 581s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count10-50] PASSED [ 35%] 581s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count11-47] PASSED [ 35%] 581s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count11-50] PASSED [ 35%] 582s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count12-47] PASSED [ 35%] 582s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count12-50] PASSED [ 35%] 583s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count13-47] PASSED [ 35%] 583s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count13-50] PASSED [ 35%] 584s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count14-47] PASSED [ 35%] 584s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count14-50] PASSED [ 35%] 585s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count15-47] PASSED [ 35%] 585s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count15-50] PASSED [ 35%] 585s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count16-47] PASSED [ 35%] 586s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count16-50] PASSED [ 35%] 586s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count17-47] PASSED [ 35%] 587s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count17-50] PASSED [ 35%] 587s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count18-47] PASSED [ 35%] 588s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count18-50] PASSED [ 35%] 588s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count19-47] PASSED [ 35%] 588s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count19-50] PASSED [ 35%] 589s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count20-47] PASSED [ 35%] 589s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count20-50] PASSED [ 35%] 590s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count21-47] PASSED [ 35%] 590s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count21-50] PASSED [ 35%] 591s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count22-47] PASSED [ 35%] 591s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count22-50] PASSED [ 35%] 591s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count23-47] PASSED [ 35%] 592s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count23-50] PASSED [ 35%] 592s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count24-47] PASSED [ 35%] 593s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count24-50] PASSED [ 35%] 593s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count25-47] PASSED [ 35%] 594s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count25-50] PASSED [ 35%] 594s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count26-47] PASSED [ 35%] 595s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count26-50] PASSED [ 35%] 595s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count27-47] PASSED [ 35%] 596s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count27-50] PASSED [ 35%] 596s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count28-47] PASSED [ 35%] 597s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count28-50] PASSED [ 35%] 597s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count29-47] PASSED [ 35%] 597s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count29-50] PASSED [ 35%] 598s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count30-47] PASSED [ 35%] 598s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count30-50] PASSED [ 35%] 599s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count31-47] PASSED [ 35%] 599s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count31-50] PASSED [ 35%] 600s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count32-47] PASSED [ 35%] 600s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count32-50] PASSED [ 35%] 601s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count33-47] PASSED [ 35%] 601s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count33-50] PASSED [ 35%] 602s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count34-47] PASSED [ 35%] 602s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count34-50] PASSED [ 35%] 602s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count35-47] PASSED [ 35%] 603s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count35-50] PASSED [ 35%] 603s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count36-47] PASSED [ 35%] 604s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count36-50] PASSED [ 35%] 604s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count37-47] PASSED [ 35%] 604s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count37-50] PASSED [ 35%] 605s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count38-47] PASSED [ 35%] 605s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count38-50] PASSED [ 35%] 606s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count39-47] PASSED [ 35%] 606s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count39-50] PASSED [ 35%] 607s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count40-47] PASSED [ 35%] 607s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count40-50] PASSED [ 35%] 607s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count41-47] PASSED [ 35%] 608s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count41-50] PASSED [ 35%] 608s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count42-47] PASSED [ 35%] 609s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count42-50] PASSED [ 35%] 609s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count43-47] PASSED [ 35%] 609s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count43-50] PASSED [ 35%] 610s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count44-47] PASSED [ 35%] 610s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count44-50] PASSED [ 35%] 610s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count45-47] PASSED [ 35%] 611s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count45-50] PASSED [ 35%] 611s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count46-47] PASSED [ 35%] 611s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count46-50] PASSED [ 35%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count47-47] PASSED [ 35%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count47-50] PASSED [ 35%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_int_check PASSED [ 35%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count0] PASSED [ 35%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count1] PASSED [ 35%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count2] PASSED [ 35%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count3] PASSED [ 35%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count4] PASSED [ 35%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count5] PASSED [ 35%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count6] PASSED [ 35%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count7] PASSED [ 35%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count8] PASSED [ 35%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count9] PASSED [ 35%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count10] PASSED [ 35%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count11] PASSED [ 35%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count12] PASSED [ 35%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count13] PASSED [ 35%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count14] PASSED [ 35%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count15] PASSED [ 35%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count0] PASSED [ 35%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count1] PASSED [ 35%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count2] PASSED [ 35%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count3] PASSED [ 35%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count4] PASSED [ 35%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count5] PASSED [ 35%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count6] PASSED [ 35%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count7] PASSED [ 35%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count8] PASSED [ 36%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count9] PASSED [ 36%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count10] PASSED [ 36%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count11] PASSED [ 36%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count12] PASSED [ 36%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count13] PASSED [ 36%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count14] PASSED [ 36%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count15] PASSED [ 36%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count0] PASSED [ 36%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count1] PASSED [ 36%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count2] PASSED [ 36%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count3] PASSED [ 36%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count4] PASSED [ 36%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count5] PASSED [ 36%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count6] PASSED [ 36%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count7] PASSED [ 36%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count8] PASSED [ 36%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count9] PASSED [ 36%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count10] PASSED [ 36%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count11] PASSED [ 36%] 612s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count12] PASSED [ 36%] 613s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count13] PASSED [ 36%] 613s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count14] PASSED [ 36%] 613s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count15] PASSED [ 36%] 613s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count0] PASSED [ 36%] 613s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count1] PASSED [ 36%] 613s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count2] PASSED [ 36%] 613s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count3] PASSED [ 36%] 613s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count4] PASSED [ 36%] 613s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count5] PASSED [ 36%] 613s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count6] PASSED [ 36%] 613s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count7] PASSED [ 36%] 613s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count8] PASSED [ 36%] 613s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count9] PASSED [ 36%] 613s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count10] PASSED [ 36%] 613s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count11] PASSED [ 36%] 613s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count12] PASSED [ 36%] 613s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count13] PASSED [ 36%] 613s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count14] PASSED [ 36%] 613s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count15] PASSED [ 36%] 613s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count0] PASSED [ 36%] 613s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count1] PASSED [ 36%] 613s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count2] PASSED [ 36%] 613s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count3] PASSED [ 36%] 613s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count4] PASSED [ 36%] 613s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count5] PASSED [ 36%] 613s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count6] PASSED [ 36%] 613s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count7] PASSED [ 36%] 613s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count8] PASSED [ 36%] 613s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count9] PASSED [ 36%] 613s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count10] PASSED [ 36%] 613s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count11] PASSED [ 36%] 613s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count12] PASSED [ 36%] 613s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count13] PASSED [ 36%] 613s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count14] PASSED [ 36%] 613s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count15] PASSED [ 36%] 613s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count0] PASSED [ 36%] 613s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count1] PASSED [ 36%] 613s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count2] PASSED [ 36%] 614s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count3] PASSED [ 36%] 614s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count4] PASSED [ 36%] 614s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count5] PASSED [ 36%] 615s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count6] PASSED [ 36%] 615s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count7] PASSED [ 36%] 615s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count8] PASSED [ 36%] 615s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count9] PASSED [ 36%] 616s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count10] PASSED [ 36%] 616s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count11] PASSED [ 36%] 616s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count12] PASSED [ 36%] 617s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count13] PASSED [ 36%] 617s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count14] PASSED [ 36%] 617s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count15] PASSED [ 36%] 617s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k0-0.01] PASSED [ 36%] 617s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k0-0.05] PASSED [ 36%] 617s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k1-0.01] PASSED [ 36%] 618s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k1-0.05] PASSED [ 36%] 618s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k2-0.01] PASSED [ 36%] 618s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k2-0.05] PASSED [ 36%] 618s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k3-0.01] PASSED [ 36%] 618s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k3-0.05] PASSED [ 36%] 618s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k4-0.01] PASSED [ 36%] 618s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k4-0.05] PASSED [ 36%] 618s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k5-0.01] PASSED [ 36%] 618s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k5-0.05] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k6-0.01] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k6-0.05] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k7-0.01] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k7-0.05] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k8-0.01] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k8-0.05] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_consistency[wald] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_consistency[score] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_consistency[exact-c] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_consistency[waldccv] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_consistency[sqrt-a] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_consistency[sqrt-v] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_consistency[midp-c] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_consistency[sqrt] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_r PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_tol_int[case0] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_tol_int[case1] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_tol_int[case2] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_tol_int[case3] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_tol_int[case4] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_test[wald] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_test[score] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_test[exact-c] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_test[midp-c] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_test[waldccv] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_test[sqrt-a] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_test[sqrt-v] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_test[sqrt] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[wald] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[score] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[exact-c] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[midp-c] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[jeff] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[waldccv] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[sqrt-a] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[sqrt-v] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[sqrt] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[sqrt-cent] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[sqrt-centcc] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_diff_consistency[wald] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_diff_consistency[score] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_diff_consistency[waldccv] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_ratio_consistency[wald-log] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_ratio_consistency[score-log] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_diff_ratio_consistency[wald] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_diff_ratio_consistency[score] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_diff_ratio_consistency[etest] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_diff_ratio_consistency[etest-wald] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_twosample_poisson PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_twosample_poisson_diff[case0] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_twosample_poisson_diff[case1] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_twosample_poisson_diff[case2] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_twosample_poisson_diff[case3] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_twosample_poisson_r PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_2indep PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_tost_poisson PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case0] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case1] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case2] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case3] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case4] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case5] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case6] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case7] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case8] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case9] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case10] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case11] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case12] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case13] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case14] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case15] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case16] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case17] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case18] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case19] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case20] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test[ratio-wald] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test[ratio-score] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test[ratio-score-log] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test[ratio-wald-log] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test[ratio-exact-cond] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test[ratio-cond-midp] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test[ratio-sqrt] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test[ratio-etest-score] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test[ratio-etest-wald] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test[diff-wald] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test[diff-score] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test[diff-waldccv] PASSED [ 36%] 619s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test[diff-etest-score] PASSED [ 36%] 620s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test[diff-etest-wald] PASSED [ 36%] 620s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_confint[ratio-waldcc] PASSED [ 36%] 620s ../../../usr/lib/python3/dist-packages/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_confint[ratio-score] PASSED [ 36%] 620s 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627s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_decorators.py::test_deprecated_alias[None-None-UserWarning] PASSED [ 37%] 627s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_decorators.py::test_deprecated_alias[None-0.11-FutureWarning] PASSED [ 37%] 627s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_decorators.py::test_deprecated_alias[None-0.11-UserWarning] PASSED [ 37%] 627s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_docstring.py::test_remove_parameter PASSED [ 37%] 627s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_docstring.py::test_insert_parameters PASSED [ 37%] 627s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_docstring.py::test_set_unknown PASSED [ 37%] 627s ../../../usr/lib/python3/dist-packages/statsmodels/tools/tests/test_docstring.py::test_replace_block PASSED [ 37%] 627s 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PASSED [ 38%] 629s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_right_squeeze PASSED [ 38%] 629s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_wrap_pandas[True] PASSED [ 38%] 629s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_wrap_pandas[False] PASSED [ 38%] 629s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_wrap_pandas_append PASSED [ 38%] 629s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_wrap_pandas_append_non_string PASSED [ 38%] 629s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_optional_dict_like[dict] PASSED [ 38%] 629s ../../../usr/lib/python3/dist-packages/statsmodels/tools/validation/tests/test_validation.py::test_optional_dict_like[OrderedDict] PASSED [ 38%] 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PASSED [ 47%] 700s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_stitch_fixed_and_free_params[fixed_lags0-free_lags0-fixed_params0-free_params0-spec_lags0-expected_all_params0] PASSED [ 47%] 700s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_stitch_fixed_and_free_params[fixed_lags1-free_lags1-fixed_params1-free_params1-spec_lags1-expected_all_params1] PASSED [ 47%] 700s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_stitch_fixed_and_free_params[fixed_lags2-free_lags2-fixed_params2-free_params2-spec_lags2-expected_all_params2] PASSED [ 47%] 700s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_stitch_fixed_and_free_params[fixed_lags3-free_lags3-fixed_params3-free_params3-spec_lags3-expected_all_params3] PASSED [ 47%] 700s 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../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-False-True-None] PASSED [ 49%] 708s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-False-True-4] PASSED [ 49%] 708s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-False-True-12] PASSED [ 49%] 708s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-False-False-None] PASSED [ 49%] 708s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-False-False-4] PASSED [ 49%] 708s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-False-False-12] PASSED [ 49%] 708s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-True-True-None] PASSED [ 49%] 708s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-True-True-4] PASSED [ 49%] 708s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-True-True-12] PASSED [ 49%] 708s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-True-False-None] PASSED [ 49%] 709s 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../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-False-False-None] PASSED [ 49%] 709s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-False-False-4] PASSED [ 49%] 709s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-False-False-12] PASSED [ 49%] 709s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-True-True-None] PASSED [ 49%] 709s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-True-True-4] PASSED [ 49%] 709s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-True-True-12] PASSED [ 49%] 709s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-True-False-None] PASSED [ 49%] 709s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-True-False-4] PASSED [ 49%] 709s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-True-False-12] PASSED [ 49%] 709s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-False-True-None] PASSED [ 49%] 709s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-False-True-4] PASSED [ 49%] 709s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-False-True-12] PASSED [ 49%] 709s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-False-False-None] PASSED [ 49%] 709s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-False-False-4] PASSED [ 49%] 709s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-False-False-12] PASSED [ 49%] 709s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-True-True-None] PASSED [ 49%] 709s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-True-True-4] PASSED [ 49%] 709s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-True-True-12] PASSED [ 49%] 709s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-True-False-None] PASSED [ 49%] 709s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-True-False-4] PASSED [ 49%] 709s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-True-False-12] PASSED [ 49%] 709s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-False-True-None] PASSED [ 49%] 709s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-False-True-4] PASSED [ 49%] 709s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-False-True-12] PASSED [ 49%] 709s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-False-False-None] PASSED [ 49%] 709s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-False-False-4] PASSED [ 49%] 709s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-False-False-12] PASSED [ 49%] 709s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-True-True-None] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-True-True-4] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-True-True-12] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-True-False-None] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-True-False-4] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-True-False-12] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-False-True-None] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-False-True-4] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-False-True-12] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-False-False-None] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-False-False-4] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-False-False-12] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-True-True-None] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-True-True-4] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-True-True-12] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-True-False-None] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-True-False-4] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-True-False-12] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-False-True-None] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-False-True-4] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-False-True-12] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-False-False-None] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-False-False-4] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-False-False-12] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-True-True-None] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-True-True-4] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-True-True-12] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-True-False-None] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-True-False-4] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-True-False-12] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-False-True-None] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-False-True-4] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-False-True-12] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-False-False-None] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-False-False-4] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-False-False-12] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-True-True-None] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-True-True-4] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-True-True-12] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-True-False-None] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-True-False-4] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-True-False-12] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-False-True-None] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-False-True-4] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-False-True-12] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-False-False-None] PASSED [ 49%] 710s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-False-False-4] PASSED [ 49%] 711s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-False-False-12] PASSED [ 49%] 711s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-True-True-None] PASSED [ 49%] 711s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-True-True-4] PASSED [ 49%] 711s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-True-True-12] PASSED [ 49%] 711s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-True-False-None] PASSED [ 49%] 711s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-True-False-4] PASSED [ 50%] 711s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-True-False-12] PASSED [ 50%] 711s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-False-True-None] PASSED [ 50%] 711s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-False-True-4] PASSED [ 50%] 711s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-False-True-12] PASSED [ 50%] 711s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-False-False-None] PASSED [ 50%] 711s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-False-False-4] PASSED [ 50%] 711s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-False-False-12] PASSED [ 50%] 711s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-True-True-None] PASSED [ 50%] 711s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-True-True-4] PASSED [ 50%] 711s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-True-True-12] PASSED [ 50%] 711s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-True-False-None] PASSED [ 50%] 711s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-True-False-4] PASSED [ 50%] 711s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-True-False-12] PASSED [ 50%] 711s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-False-True-None] PASSED [ 50%] 711s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-False-True-4] PASSED [ 50%] 711s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-False-True-12] PASSED [ 50%] 711s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-False-False-None] PASSED [ 50%] 711s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-False-False-4] PASSED [ 50%] 711s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-False-False-12] PASSED [ 50%] 711s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-True-True-None] PASSED [ 50%] 711s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-True-True-4] PASSED [ 50%] 711s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-True-True-12] PASSED [ 50%] 711s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-True-False-None] PASSED [ 50%] 711s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-True-False-4] PASSED [ 50%] 711s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-True-False-12] PASSED [ 50%] 711s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-False-True-None] PASSED [ 50%] 711s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-False-True-4] PASSED [ 50%] 711s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-False-True-12] PASSED [ 50%] 711s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-False-False-None] PASSED [ 50%] 711s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-False-False-4] PASSED [ 50%] 711s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-False-False-12] PASSED [ 50%] 711s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-True-True-None] PASSED [ 50%] 711s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-True-True-4] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-True-True-12] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-True-False-None] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-True-False-4] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-True-False-12] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-False-True-None] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-False-True-4] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-False-True-12] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-False-False-None] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-False-False-4] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-False-False-12] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-True-True-None] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-True-True-4] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-True-True-12] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-True-False-None] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-True-False-4] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-True-False-12] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-False-True-None] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-False-True-4] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-False-True-12] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-False-False-None] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-False-False-4] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-False-False-12] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-True-True-None] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-True-True-4] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-True-True-12] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-True-False-None] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-True-False-4] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-True-False-12] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-False-True-None] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-False-True-4] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-False-True-12] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-False-False-None] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-False-False-4] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-False-False-12] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-True-True-None] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-True-True-4] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-True-True-12] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-True-False-None] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-True-False-4] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-True-False-12] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-False-True-None] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-False-True-4] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-False-True-12] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-False-False-None] PASSED [ 50%] 712s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-False-False-4] PASSED [ 50%] 713s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-False-False-12] PASSED [ 50%] 713s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-True-True-None] PASSED [ 50%] 713s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-True-True-4] PASSED [ 50%] 713s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-True-True-12] PASSED [ 50%] 713s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-True-False-None] PASSED [ 50%] 713s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-True-False-4] PASSED [ 50%] 713s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-True-False-12] PASSED [ 50%] 713s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-False-True-None] PASSED [ 50%] 713s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-False-True-4] PASSED [ 50%] 713s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-False-True-12] PASSED [ 50%] 713s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-False-False-None] PASSED [ 50%] 713s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-False-False-4] PASSED [ 50%] 713s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-False-False-12] PASSED [ 50%] 713s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-True-True-None] PASSED [ 50%] 713s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-True-True-4] PASSED [ 50%] 713s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-True-True-12] PASSED [ 50%] 713s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-True-False-None] PASSED [ 50%] 713s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-True-False-4] PASSED [ 50%] 713s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-True-False-12] PASSED [ 50%] 713s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-False-True-None] PASSED [ 50%] 713s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-False-True-4] PASSED [ 50%] 713s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-False-True-12] PASSED [ 50%] 713s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-False-False-None] PASSED [ 50%] 713s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-False-False-4] PASSED [ 50%] 713s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-False-False-12] PASSED [ 50%] 713s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-True-True-None] PASSED [ 50%] 713s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-True-True-4] PASSED [ 50%] 714s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-True-True-12] PASSED [ 50%] 714s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-True-False-None] PASSED [ 50%] 714s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-True-False-4] PASSED [ 50%] 714s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-True-False-12] PASSED [ 50%] 714s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-False-True-None] PASSED [ 50%] 714s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-False-True-4] PASSED [ 50%] 714s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-False-True-12] PASSED [ 50%] 714s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-False-False-None] PASSED [ 50%] 714s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-False-False-4] PASSED [ 50%] 714s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-False-False-12] PASSED [ 50%] 714s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-True-True-None] PASSED [ 50%] 714s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-True-True-4] PASSED [ 50%] 714s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-True-True-12] PASSED [ 50%] 714s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-True-False-None] PASSED [ 50%] 714s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-True-False-4] PASSED [ 50%] 714s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-True-False-12] PASSED [ 50%] 714s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-False-True-None] PASSED [ 50%] 714s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-False-True-4] PASSED [ 50%] 714s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-False-True-12] PASSED [ 50%] 714s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-False-False-None] PASSED [ 50%] 714s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-False-False-4] PASSED [ 50%] 714s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-False-False-12] PASSED [ 50%] 714s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-True-True-None] PASSED [ 50%] 715s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-True-True-4] PASSED [ 50%] 715s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-True-True-12] PASSED [ 50%] 715s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-True-False-None] PASSED [ 50%] 715s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-True-False-4] PASSED [ 50%] 715s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-True-False-12] PASSED [ 50%] 715s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-False-True-None] PASSED [ 50%] 715s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-False-True-4] PASSED [ 50%] 715s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-False-True-12] PASSED [ 50%] 715s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-False-False-None] PASSED [ 50%] 715s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-False-False-4] PASSED [ 50%] 715s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-False-False-12] PASSED [ 50%] 715s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-True-True-None] PASSED [ 50%] 715s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-True-True-4] PASSED [ 50%] 715s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-True-True-12] PASSED [ 50%] 715s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-True-False-None] PASSED [ 50%] 715s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-True-False-4] PASSED [ 50%] 715s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-True-False-12] PASSED [ 50%] 715s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-False-True-None] PASSED [ 50%] 715s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-False-True-4] PASSED [ 50%] 715s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-False-True-12] PASSED [ 50%] 715s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-False-False-None] PASSED [ 50%] 715s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-False-False-4] PASSED [ 50%] 715s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-False-False-12] PASSED [ 50%] 716s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-True-True-None] PASSED [ 50%] 716s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-True-True-4] PASSED [ 50%] 716s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-True-True-12] PASSED [ 50%] 716s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-True-False-None] PASSED [ 50%] 716s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-True-False-4] PASSED [ 50%] 716s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-True-False-12] PASSED [ 50%] 716s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-False-True-None] PASSED [ 50%] 716s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-False-True-4] PASSED [ 50%] 716s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-False-True-12] PASSED [ 50%] 716s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-False-False-None] PASSED [ 50%] 716s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-False-False-4] PASSED [ 50%] 716s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-False-False-12] PASSED [ 50%] 716s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-True-True-None] PASSED [ 50%] 716s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-True-True-4] PASSED [ 50%] 717s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-True-True-12] PASSED [ 50%] 717s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-True-False-None] PASSED [ 50%] 717s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-True-False-4] PASSED [ 50%] 717s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-True-False-12] PASSED [ 50%] 717s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-False-True-None] PASSED [ 50%] 717s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-False-True-4] PASSED [ 50%] 717s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-False-True-12] PASSED [ 50%] 717s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-False-False-None] PASSED [ 50%] 717s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-False-False-4] PASSED [ 50%] 717s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-False-False-12] PASSED [ 50%] 717s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-True-True-None] PASSED [ 50%] 717s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-True-True-4] PASSED [ 50%] 717s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-True-True-12] PASSED [ 50%] 717s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-True-False-None] PASSED [ 50%] 717s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-True-False-4] PASSED [ 51%] 717s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-True-False-12] PASSED [ 51%] 717s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-False-True-None] PASSED [ 51%] 717s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-False-True-4] PASSED [ 51%] 717s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-False-True-12] PASSED [ 51%] 717s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-False-False-None] PASSED [ 51%] 717s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-False-False-4] PASSED [ 51%] 717s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-False-False-12] PASSED [ 51%] 717s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-True-True-None] PASSED [ 51%] 717s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-True-True-4] PASSED [ 51%] 717s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-True-True-12] PASSED [ 51%] 717s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-True-False-None] PASSED [ 51%] 717s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-True-False-4] PASSED [ 51%] 717s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-True-False-12] PASSED [ 51%] 717s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-False-True-None] PASSED [ 51%] 717s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-False-True-4] PASSED [ 51%] 718s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-False-True-12] PASSED [ 51%] 718s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-False-False-None] PASSED [ 51%] 718s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-False-False-4] PASSED [ 51%] 718s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-False-False-12] PASSED [ 51%] 718s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-True-True-None] PASSED [ 51%] 718s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-True-True-4] PASSED [ 51%] 718s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-True-True-12] PASSED [ 51%] 718s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-True-False-None] PASSED [ 51%] 718s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-True-False-4] PASSED [ 51%] 718s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-True-False-12] PASSED [ 51%] 718s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-False-True-None] PASSED [ 51%] 718s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-False-True-4] PASSED [ 51%] 718s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-False-True-12] PASSED [ 51%] 718s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-False-False-None] PASSED [ 51%] 718s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-False-False-4] PASSED [ 51%] 718s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-False-False-12] PASSED [ 51%] 718s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-True-True-None] PASSED [ 51%] 718s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-True-True-4] PASSED [ 51%] 718s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-True-True-12] PASSED [ 51%] 718s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-True-False-None] PASSED [ 51%] 718s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-True-False-4] PASSED [ 51%] 718s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-True-False-12] PASSED [ 51%] 718s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-False-True-None] PASSED [ 51%] 719s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-False-True-4] PASSED [ 51%] 719s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-False-True-12] PASSED [ 51%] 719s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-False-False-None] PASSED [ 51%] 719s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-False-False-4] PASSED [ 51%] 719s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-False-False-12] PASSED [ 51%] 719s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-True-True-None] PASSED [ 51%] 719s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-True-True-4] PASSED [ 51%] 719s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-True-True-12] PASSED [ 51%] 719s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-True-False-None] PASSED [ 51%] 719s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-True-False-4] PASSED [ 51%] 719s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-True-False-12] PASSED [ 51%] 719s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-False-True-None] PASSED [ 51%] 719s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-False-True-4] PASSED [ 51%] 719s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-False-True-12] PASSED [ 51%] 719s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-False-False-None] PASSED [ 51%] 719s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-False-False-4] PASSED [ 51%] 719s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-False-False-12] PASSED [ 51%] 719s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-True-True-None] PASSED [ 51%] 719s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-True-True-4] PASSED [ 51%] 719s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-True-True-12] PASSED [ 51%] 719s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-True-False-None] PASSED [ 51%] 719s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-True-False-4] PASSED [ 51%] 719s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-True-False-12] PASSED [ 51%] 719s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-False-True-None] PASSED [ 51%] 720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-False-True-4] PASSED [ 51%] 720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-False-True-12] PASSED [ 51%] 720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-False-False-None] PASSED [ 51%] 720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-False-False-4] PASSED [ 51%] 720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-False-False-12] PASSED [ 51%] 720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-True-True-None] PASSED [ 51%] 720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-True-True-4] PASSED [ 51%] 720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-True-True-12] PASSED [ 51%] 720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-True-False-None] PASSED [ 51%] 720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-True-False-4] PASSED [ 51%] 720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-True-False-12] PASSED [ 51%] 720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-False-True-None] PASSED [ 51%] 720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-False-True-4] PASSED [ 51%] 720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-False-True-12] PASSED [ 51%] 720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-False-False-None] PASSED [ 51%] 720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-False-False-4] PASSED [ 51%] 720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-False-False-12] PASSED [ 51%] 720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-True-True-None] PASSED [ 51%] 720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-True-True-4] PASSED [ 51%] 720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-True-True-12] PASSED [ 51%] 720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-True-False-None] PASSED [ 51%] 720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-True-False-4] PASSED [ 51%] 720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-True-False-12] PASSED [ 51%] 720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-False-True-None] PASSED [ 51%] 720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-False-True-4] PASSED [ 51%] 720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-False-True-12] PASSED [ 51%] 720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-False-False-None] PASSED [ 51%] 720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-False-False-4] PASSED [ 51%] 720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-False-False-12] PASSED [ 51%] 720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-True-True-None] PASSED [ 51%] 720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-True-True-4] PASSED [ 51%] 720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-True-True-12] PASSED [ 51%] 720s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-True-False-None] PASSED [ 51%] 721s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-True-False-4] PASSED [ 51%] 721s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-True-False-12] PASSED [ 51%] 721s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-False-True-None] PASSED [ 51%] 721s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-False-True-4] PASSED [ 51%] 721s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-False-True-12] PASSED [ 51%] 721s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-False-False-None] PASSED [ 51%] 721s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-False-False-4] PASSED [ 51%] 721s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-False-False-12] PASSED [ 51%] 721s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-True-True-None] PASSED [ 51%] 721s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-True-True-4] PASSED [ 51%] 721s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-True-True-12] PASSED [ 51%] 721s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-True-False-None] PASSED [ 51%] 721s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-True-False-4] PASSED [ 51%] 721s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-True-False-12] PASSED [ 51%] 721s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-False-True-None] PASSED [ 51%] 721s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-False-True-4] PASSED [ 51%] 721s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-False-True-12] PASSED [ 51%] 721s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-False-False-None] PASSED [ 51%] 721s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-False-False-4] PASSED [ 51%] 721s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-False-False-12] PASSED [ 51%] 721s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-True-True-None] PASSED [ 51%] 721s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-True-True-4] PASSED [ 51%] 721s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-True-True-12] PASSED [ 51%] 721s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-True-False-None] PASSED [ 51%] 721s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-True-False-4] PASSED [ 51%] 721s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-True-False-12] PASSED [ 51%] 721s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-False-True-None] PASSED [ 51%] 721s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-False-True-4] PASSED [ 51%] 721s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-False-True-12] PASSED [ 51%] 722s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-False-False-None] PASSED [ 51%] 722s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-False-False-4] PASSED [ 51%] 722s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-False-False-12] PASSED [ 51%] 722s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-True-True-None] PASSED [ 51%] 722s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-True-True-4] PASSED [ 51%] 722s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-True-True-12] PASSED [ 51%] 722s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-True-False-None] PASSED [ 51%] 722s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-True-False-4] PASSED [ 51%] 722s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-True-False-12] PASSED [ 51%] 722s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-False-True-None] PASSED [ 51%] 722s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-False-True-4] PASSED [ 51%] 722s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-False-True-12] PASSED [ 51%] 722s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-False-False-None] PASSED [ 51%] 722s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-False-False-4] PASSED [ 51%] 722s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-False-False-12] PASSED [ 51%] 722s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-True-True-None] PASSED [ 51%] 722s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-True-True-4] PASSED [ 51%] 722s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-True-True-12] PASSED [ 51%] 722s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-True-False-None] PASSED [ 51%] 722s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-True-False-4] PASSED [ 51%] 722s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-True-False-12] PASSED [ 51%] 722s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-False-True-None] PASSED [ 51%] 722s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-False-True-4] PASSED [ 51%] 722s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-False-True-12] PASSED [ 51%] 722s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-False-False-None] PASSED [ 51%] 722s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-False-False-4] PASSED [ 51%] 722s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-False-False-12] PASSED [ 51%] 722s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-True-True-None] PASSED [ 51%] 723s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-True-True-4] PASSED [ 51%] 723s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-True-True-12] PASSED [ 51%] 723s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-True-False-None] PASSED [ 51%] 723s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-True-False-4] PASSED [ 51%] 723s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-True-False-12] PASSED [ 51%] 723s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-False-True-None] PASSED [ 51%] 723s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-False-True-4] PASSED [ 51%] 723s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-False-True-12] PASSED [ 51%] 723s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-False-False-None] PASSED [ 51%] 723s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-False-False-4] PASSED [ 51%] 723s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-False-False-12] PASSED [ 51%] 723s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-True-True-None] PASSED [ 51%] 723s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-True-True-4] PASSED [ 51%] 723s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-True-True-12] PASSED [ 51%] 723s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-True-False-None] PASSED [ 51%] 723s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-True-False-4] PASSED [ 51%] 723s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-True-False-12] PASSED [ 51%] 723s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-False-True-None] PASSED [ 51%] 723s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-False-True-4] PASSED [ 51%] 723s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-False-True-12] PASSED [ 51%] 723s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-False-False-None] PASSED [ 51%] 723s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-False-False-4] PASSED [ 51%] 723s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-False-False-12] PASSED [ 51%] 723s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-True-True-None] PASSED [ 51%] 723s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-True-True-4] PASSED [ 51%] 723s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-True-True-12] PASSED [ 51%] 723s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-True-False-None] PASSED [ 51%] 723s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-True-False-4] PASSED [ 52%] 723s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-True-False-12] PASSED [ 52%] 723s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-False-True-None] PASSED [ 52%] 723s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-False-True-4] PASSED [ 52%] 724s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-False-True-12] PASSED [ 52%] 724s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-False-False-None] PASSED [ 52%] 724s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-False-False-4] PASSED [ 52%] 724s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-False-False-12] PASSED [ 52%] 724s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-True-True-None] PASSED [ 52%] 724s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-True-True-4] PASSED [ 52%] 724s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-True-True-12] PASSED [ 52%] 724s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-True-False-None] PASSED [ 52%] 724s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-True-False-4] PASSED [ 52%] 724s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-True-False-12] PASSED [ 52%] 724s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-False-True-None] PASSED [ 52%] 724s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-False-True-4] PASSED [ 52%] 724s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-False-True-12] PASSED [ 52%] 724s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-False-False-None] PASSED [ 52%] 724s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-False-False-4] PASSED [ 52%] 724s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-False-False-12] PASSED [ 52%] 724s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-True-True-None] PASSED [ 52%] 724s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-True-True-4] PASSED [ 52%] 724s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-True-True-12] PASSED [ 52%] 724s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-True-False-None] PASSED [ 52%] 724s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-True-False-4] PASSED [ 52%] 724s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-True-False-12] PASSED [ 52%] 724s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-False-True-None] PASSED [ 52%] 724s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-False-True-4] PASSED [ 52%] 724s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-False-True-12] PASSED [ 52%] 724s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-False-False-None] PASSED [ 52%] 724s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-False-False-4] PASSED [ 52%] 724s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-False-False-12] PASSED [ 52%] 725s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-True-True-None] PASSED [ 52%] 725s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-True-True-4] PASSED [ 52%] 725s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-True-True-12] PASSED [ 52%] 725s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-True-False-None] PASSED [ 52%] 725s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-True-False-4] PASSED [ 52%] 725s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-True-False-12] PASSED [ 52%] 725s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-False-True-None] PASSED [ 52%] 725s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-False-True-4] PASSED [ 52%] 725s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-False-True-12] PASSED [ 52%] 725s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-False-False-None] PASSED [ 52%] 725s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-False-False-4] PASSED [ 52%] 725s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-False-False-12] PASSED [ 52%] 725s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-True-True-None] PASSED [ 52%] 725s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-True-True-4] PASSED [ 52%] 725s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-True-True-12] PASSED [ 52%] 725s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-True-False-None] PASSED [ 52%] 725s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-True-False-4] PASSED [ 52%] 725s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-True-False-12] PASSED [ 52%] 725s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-False-True-None] PASSED [ 52%] 725s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-False-True-4] PASSED [ 52%] 725s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-False-True-12] PASSED [ 52%] 726s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-False-False-None] PASSED [ 52%] 726s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-False-False-4] PASSED [ 52%] 726s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-False-False-12] PASSED [ 52%] 726s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-True-True-None] PASSED [ 52%] 726s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-True-True-4] PASSED [ 52%] 726s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-True-True-12] PASSED [ 52%] 726s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-True-False-None] PASSED [ 52%] 726s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-True-False-4] PASSED [ 52%] 726s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-True-False-12] PASSED [ 52%] 726s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-False-True-None] PASSED [ 52%] 726s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-False-True-4] PASSED [ 52%] 726s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-False-True-12] PASSED [ 52%] 726s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-False-False-None] PASSED [ 52%] 726s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-False-False-4] PASSED [ 52%] 726s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-False-False-12] PASSED [ 52%] 726s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-True-True-None] PASSED [ 52%] 726s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-True-True-4] PASSED [ 52%] 726s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-True-True-12] PASSED [ 52%] 726s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-True-False-None] PASSED [ 52%] 726s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-True-False-4] PASSED [ 52%] 726s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-True-False-12] PASSED [ 52%] 726s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-False-True-None] PASSED [ 52%] 726s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-False-True-4] PASSED [ 52%] 727s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-False-True-12] PASSED [ 52%] 727s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-False-False-None] PASSED [ 52%] 727s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-False-False-4] PASSED [ 52%] 727s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-False-False-12] PASSED [ 52%] 727s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-True-True-None] PASSED [ 52%] 727s 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../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-True-False-12] PASSED [ 52%] 729s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-False-True-None] PASSED [ 52%] 729s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-False-True-4] PASSED [ 52%] 729s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-False-True-12] PASSED [ 52%] 729s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-False-False-None] PASSED [ 52%] 729s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-False-False-4] PASSED [ 52%] 729s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-False-False-12] PASSED [ 52%] 729s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-True-True-None] PASSED [ 52%] 729s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-True-True-4] PASSED [ 52%] 729s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-True-True-12] PASSED [ 52%] 729s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-True-False-None] PASSED [ 52%] 729s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-True-False-4] PASSED [ 52%] 729s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-True-False-12] PASSED [ 52%] 729s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-False-True-None] PASSED [ 52%] 729s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-False-True-4] PASSED [ 52%] 729s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-False-True-12] PASSED [ 52%] 729s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-False-False-None] PASSED [ 52%] 729s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-False-False-4] PASSED [ 52%] 729s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-False-False-12] PASSED [ 52%] 729s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-True-True-None] PASSED [ 52%] 729s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-True-True-4] PASSED [ 52%] 729s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-True-True-12] PASSED [ 52%] 730s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-True-False-None] PASSED [ 52%] 730s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-True-False-4] PASSED [ 52%] 730s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-True-False-12] PASSED [ 52%] 730s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-False-True-None] PASSED [ 52%] 730s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-False-True-4] PASSED [ 52%] 730s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-False-True-12] PASSED [ 52%] 730s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-False-False-None] PASSED [ 52%] 730s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-False-False-4] PASSED [ 52%] 730s 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../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-True-False-4] PASSED [ 52%] 730s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-True-False-12] PASSED [ 52%] 730s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-False-True-None] PASSED [ 52%] 730s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-False-True-4] PASSED [ 52%] 730s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-False-True-12] PASSED [ 52%] 730s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-False-False-None] PASSED [ 52%] 730s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-False-False-4] PASSED [ 52%] 730s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-False-False-12] PASSED [ 52%] 730s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-True-True-True-None] PASSED [ 52%] 730s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-True-True-True-4] PASSED [ 52%] 731s 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../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-True-True-False-None] PASSED [ 53%] 731s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-True-True-False-4] PASSED [ 53%] 731s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-True-True-False-12] PASSED [ 53%] 731s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-True-False-True-None] PASSED [ 53%] 731s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-True-False-True-4] PASSED [ 53%] 731s 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../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_state_autocov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_measurement_disturbance PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_state_disturbance PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_state_disturbance_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothing_error SKIPPED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_scaled_smoothed_estimator PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_scaled_smoothed_estimator_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_forecasts_error_diffuse_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_predicted_diffuse_state_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_simulation_smoothed_state XFAIL [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_nobs_diffuse PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_initialization PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_initialization_approx PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_forecasts PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_forecasts_error PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_forecasts_error_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_filtered_state PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_filtered_state_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_predicted_state PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_predicted_state_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_kalman_gain PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_loglike PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_state PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_state_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_state_autocov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_measurement_disturbance PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_measurement_disturbance_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_state_disturbance PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_state_disturbance_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothing_error SKIPPED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_scaled_smoothed_estimator PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_scaled_smoothed_estimator_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_forecasts_error_diffuse_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_predicted_diffuse_state_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_scaled_smoothed_diffuse_estimator PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_simulation_smoothed_state XFAIL [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_simulation_smoothed_measurement_disturbance XFAIL [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_simulation_smoothed_state_disturbance XFAIL [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_nobs_diffuse PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_initialization PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_forecasts PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_forecasts_error PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_forecasts_error_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_filtered_state PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_filtered_state_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_predicted_state PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_predicted_state_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_kalman_gain PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_loglike PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_state PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_state_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_state_autocov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_measurement_disturbance PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_state_disturbance PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_state_disturbance_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothing_error SKIPPED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_scaled_smoothed_estimator PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_scaled_smoothed_estimator_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_forecasts_error_diffuse_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_predicted_diffuse_state_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_simulation_smoothed_state XFAIL [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_nobs_diffuse PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_initialization PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_initialization_approx PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_forecasts PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_forecasts_error PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_forecasts_error_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_filtered_state PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_filtered_state_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_predicted_state PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_predicted_state_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_kalman_gain PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_loglike PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_state PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_state_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_state_autocov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_measurement_disturbance PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_measurement_disturbance_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_state_disturbance PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_state_disturbance_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothing_error SKIPPED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_scaled_smoothed_estimator PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_scaled_smoothed_estimator_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_forecasts_error_diffuse_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_predicted_diffuse_state_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_scaled_smoothed_diffuse_estimator PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_simulation_smoothed_state XFAIL [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_simulation_smoothed_measurement_disturbance XFAIL [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_simulation_smoothed_state_disturbance XFAIL [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_nobs_diffuse PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_initialization PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_forecasts PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_forecasts_error PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_forecasts_error_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_filtered_state PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_filtered_state_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_predicted_state PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_predicted_state_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_kalman_gain PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_loglike PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_state PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_state_autocov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_measurement_disturbance PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_state_disturbance PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_state_disturbance_cov PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothing_error SKIPPED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_scaled_smoothed_estimator PASSED [ 59%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_scaled_smoothed_estimator_cov PASSED [ 60%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_forecasts_error_diffuse_cov PASSED [ 60%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_predicted_diffuse_state_cov PASSED [ 60%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 60%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 60%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 60%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_simulation_smoothed_state XFAIL [ 60%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 60%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 60%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_initialization PASSED [ 60%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_nobs_diffuse PASSED [ 60%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_initialization_approx PASSED [ 60%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_state_cov PASSED [ 60%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_forecasts PASSED [ 60%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_forecasts_error PASSED [ 60%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_filtered_state PASSED [ 60%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_filtered_state_cov PASSED [ 60%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_predicted_state PASSED [ 60%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_predicted_state_cov PASSED [ 60%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_kalman_gain PASSED [ 60%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_loglike PASSED [ 60%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_state PASSED [ 60%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_state_cov PASSED [ 60%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_state_autocov PASSED [ 60%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_measurement_disturbance PASSED [ 60%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_measurement_disturbance_cov PASSED [ 60%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_state_disturbance PASSED [ 60%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_state_disturbance_cov PASSED [ 60%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothing_error SKIPPED [ 60%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_scaled_smoothed_estimator PASSED [ 60%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_scaled_smoothed_estimator_cov PASSED [ 60%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_forecasts_error_diffuse_cov PASSED [ 60%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_predicted_diffuse_state_cov PASSED [ 60%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_scaled_smoothed_diffuse_estimator PASSED [ 60%] 793s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_simulation_smoothed_state XFAIL [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_simulation_smoothed_measurement_disturbance XFAIL [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_simulation_smoothed_state_disturbance XFAIL [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_initialization PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_nobs_diffuse PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_forecasts_error_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_forecasts PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_forecasts_error PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_forecasts_error_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_filtered_state PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_filtered_state_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_predicted_state PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_predicted_state_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_kalman_gain PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_loglike PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_state PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_state_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_state_autocov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_measurement_disturbance PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_state_disturbance PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_state_disturbance_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothing_error SKIPPED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_scaled_smoothed_estimator PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_scaled_smoothed_estimator_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_forecasts_error_diffuse_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_predicted_diffuse_state_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_simulation_smoothed_state XFAIL [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_nobs_diffuse PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_initialization PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_initialization_approx PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_forecasts PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_forecasts_error PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_forecasts_error_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_filtered_state_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_predicted_state_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_kalman_gain PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_loglike PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_state_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_state_autocov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_measurement_disturbance PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_measurement_disturbance_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_state_disturbance PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_state_disturbance_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothing_error SKIPPED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_scaled_smoothed_estimator PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_scaled_smoothed_estimator_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_forecasts_error_diffuse_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_predicted_diffuse_state_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_scaled_smoothed_diffuse_estimator PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_simulation_smoothed_state XFAIL [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_simulation_smoothed_measurement_disturbance XFAIL [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_simulation_smoothed_state_disturbance XFAIL [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_nobs_diffuse PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_initialization PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_predicted_state PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_filtered_state PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_state PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_forecasts PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_forecasts_error PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_forecasts_error_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_filtered_state PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_filtered_state_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_predicted_state PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_predicted_state_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_kalman_gain PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_loglike PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_state PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_state_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_state_autocov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_measurement_disturbance PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_state_disturbance PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_state_disturbance_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothing_error SKIPPED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_scaled_smoothed_estimator PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_scaled_smoothed_estimator_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_forecasts_error_diffuse_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_predicted_diffuse_state_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_simulation_smoothed_state XFAIL [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_nobs_diffuse PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_initialization PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_initialization_approx PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_forecasts PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_forecasts_error PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_forecasts_error_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_filtered_state_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_predicted_state_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_kalman_gain PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_loglike PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_state_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_state_autocov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_measurement_disturbance PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_measurement_disturbance_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_state_disturbance PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_state_disturbance_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothing_error SKIPPED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_scaled_smoothed_estimator PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_scaled_smoothed_estimator_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_forecasts_error_diffuse_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_predicted_diffuse_state_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_scaled_smoothed_diffuse_estimator PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_simulation_smoothed_state XFAIL [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_simulation_smoothed_measurement_disturbance XFAIL [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_simulation_smoothed_state_disturbance XFAIL [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_nobs_diffuse PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_initialization PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_predicted_state PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_filtered_state PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_state PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_forecasts PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_forecasts_error PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_forecasts_error_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_filtered_state PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_filtered_state_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_predicted_state PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_predicted_state_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_kalman_gain PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_loglike PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_state PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_state_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_state_autocov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_measurement_disturbance PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_state_disturbance PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_state_disturbance_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothing_error SKIPPED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_scaled_smoothed_estimator PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_scaled_smoothed_estimator_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_forecasts_error_diffuse_cov PASSED [ 60%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_predicted_diffuse_state_cov PASSED [ 61%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 61%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 61%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 61%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_simulation_smoothed_state XFAIL [ 61%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 61%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 61%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_nobs_diffuse PASSED [ 61%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_initialization PASSED [ 61%] 794s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_initialization_approx PASSED [ 61%] 795s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::test_irrelevant_state XFAIL [ 61%] 795s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::test_nondiagonal_obs_cov PASSED [ 61%] 795s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_fitted PASSED [ 61%] 795s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_output PASSED [ 61%] 795s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_forecasts PASSED [ 61%] 795s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_conf_int PASSED [ 61%] 795s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_initial_states PASSED [ 61%] 795s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_states PASSED [ 61%] 795s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_misc PASSED [ 61%] 795s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_fitted PASSED [ 61%] 795s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_output PASSED [ 61%] 795s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_forecasts PASSED [ 61%] 795s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_conf_int PASSED [ 61%] 795s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_initial_states PASSED [ 61%] 795s 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../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 73%] 878s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 73%] 878s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 73%] 878s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-bse] PASSED [ 73%] 878s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 73%] 878s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-df_model] PASSED [ 73%] 878s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 73%] 878s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 73%] 878s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-llf] PASSED [ 73%] 878s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-nobs] PASSED [ 73%] 878s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-params] PASSED [ 73%] 878s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-resid] PASSED [ 73%] 878s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-scale] PASSED [ 73%] 878s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 73%] 878s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-use_t] PASSED [ 73%] 878s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 73%] 878s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 73%] 878s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 73%] 878s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 73%] 878s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-bse] PASSED [ 73%] 878s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 73%] 878s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 73%] 878s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 73%] 878s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 73%] 878s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-llf] PASSED [ 73%] 878s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 73%] 878s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-params] PASSED [ 73%] 878s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-resid] PASSED [ 73%] 878s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-scale] PASSED [ 73%] 878s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-bse] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-cov_params] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-df_model] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-df_resid] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-llf] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-nobs] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-params] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-resid] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-scale] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-tvalues] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-use_t] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-params] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-bse] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-df_model] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-llf] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-nobs] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-params] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-resid] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-scale] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-use_t] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-bse] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-llf] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-params] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-resid] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-scale] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-bse] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-cov_params] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-df_model] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-df_resid] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-llf] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-nobs] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-params] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-resid] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-scale] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-tvalues] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-use_t] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-params] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-bse] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-df_model] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-llf] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-nobs] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-params] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-resid] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-scale] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-use_t] PASSED [ 73%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-bse] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-llf] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-params] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-resid] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-scale] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-bse] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-cov_params] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-df_model] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-df_resid] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-llf] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-nobs] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-params] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-resid] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-scale] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-tvalues] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-use_t] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-params] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-bse] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-df_model] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-llf] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-nobs] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-params] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-resid] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-scale] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-use_t] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 74%] 879s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-params] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-bse] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-df_model] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-llf] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-nobs] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-params] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-resid] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-scale] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-use_t] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-bse] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-llf] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-params] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-resid] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-scale] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-bse] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-cov_params] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-df_model] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-df_resid] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-llf] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-nobs] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-params] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-resid] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-scale] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-tvalues] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-use_t] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-params] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-bse] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-df_model] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-llf] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-nobs] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-params] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-resid] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-scale] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-use_t] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-bse] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-llf] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-params] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-resid] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-scale] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 74%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-bse] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-cov_params] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-df_model] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-df_resid] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-llf] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-nobs] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-params] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-resid] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-scale] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-tvalues] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-use_t] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-params] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-bse] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-df_model] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-llf] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-nobs] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-params] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-resid] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-scale] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-use_t] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-bse] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-llf] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-params] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-resid] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-scale] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-bse] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-cov_params] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-df_model] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-df_resid] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-llf] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-nobs] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-params] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-resid] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-scale] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-tvalues] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-use_t] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-params] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-bse] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-df_model] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-llf] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-nobs] PASSED [ 75%] 880s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-params] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-resid] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-scale] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-use_t] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-bse] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-llf] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-params] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-resid] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-scale] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-bse] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-cov_params] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-df_model] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-df_resid] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-llf] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-nobs] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-params] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-resid] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-scale] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-tvalues] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-use_t] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-params] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-bse] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-df_model] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-llf] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-nobs] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-params] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-resid] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-scale] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-use_t] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-bse] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 75%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-llf] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-params] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-resid] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-scale] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-bse] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-cov_params] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-df_model] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-df_resid] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-llf] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-nobs] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-params] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-resid] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-scale] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-tvalues] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-use_t] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-params] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-bse] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-df_model] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-llf] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-nobs] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-params] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-resid] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-scale] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-use_t] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-bse] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-llf] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-params] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-resid] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-scale] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-bse] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-cov_params] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-df_model] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-df_resid] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-llf] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-nobs] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-params] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-resid] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-scale] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-tvalues] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-use_t] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-params] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 76%] 881s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-bse] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-df_model] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-llf] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-nobs] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-params] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-resid] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-scale] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-use_t] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-bse] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-llf] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-params] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-resid] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-scale] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-bse] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-cov_params] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-df_model] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-df_resid] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-llf] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-nobs] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-params] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-resid] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-scale] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-tvalues] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-use_t] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-params] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-bse] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-df_model] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-llf] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-nobs] PASSED [ 76%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-params] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-resid] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-scale] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-use_t] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-bse] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-llf] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-params] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-resid] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-scale] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-bse] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-cov_params] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-df_model] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-df_resid] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-llf] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-nobs] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-params] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-resid] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-scale] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-tvalues] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-use_t] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-params] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-bse] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-df_model] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-llf] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-nobs] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-params] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-resid] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-scale] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-use_t] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-bse] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-llf] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-params] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-resid] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-scale] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-bse] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-cov_params] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-df_model] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-df_resid] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-llf] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-nobs] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-params] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-resid] PASSED [ 77%] 882s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-scale] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-tvalues] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-use_t] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-params] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-bse] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-df_model] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-llf] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-nobs] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-params] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-resid] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-scale] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-use_t] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-bse] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-llf] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-params] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-resid] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-scale] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-bse] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-cov_params] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-df_model] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-df_resid] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-llf] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-nobs] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-params] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-resid] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-scale] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-tvalues] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-use_t] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-params] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 77%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-bse] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-df_model] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-llf] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-nobs] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-params] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-resid] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-scale] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-use_t] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-bse] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-llf] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-params] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-resid] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-scale] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-bse] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-cov_params] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-df_model] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-df_resid] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-llf] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-nobs] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-params] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-resid] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-scale] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-tvalues] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-use_t] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-params] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-bse] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-df_model] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-llf] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-nobs] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-params] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-resid] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-scale] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-use_t] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-bse] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-llf] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 78%] 883s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-params] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-resid] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-scale] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-bse] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-cov_params] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-df_model] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-df_resid] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-llf] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-nobs] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-params] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-resid] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-scale] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-tvalues] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-use_t] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-params] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-bse] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-df_model] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-llf] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-nobs] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-params] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-resid] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-scale] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-use_t] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-bse] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-llf] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-params] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-resid] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-scale] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-bse] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-cov_params] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-df_model] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-df_resid] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-llf] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-nobs] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-params] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-resid] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-scale] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-tvalues] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-use_t] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 78%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-params] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-bse] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-df_model] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-llf] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-nobs] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-params] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-resid] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-scale] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-use_t] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-bse] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-llf] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-params] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-resid] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-scale] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-bse] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-cov_params] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-df_model] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-df_resid] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-llf] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-nobs] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-params] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-resid] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-scale] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-tvalues] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-use_t] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 79%] 884s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-params] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-bse] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-df_model] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-llf] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-nobs] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-params] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-resid] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-scale] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-use_t] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-bse] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-llf] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-params] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-resid] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-scale] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-bse] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-cov_params] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-df_model] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-df_resid] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-llf] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-nobs] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-params] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-resid] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-scale] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-tvalues] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-use_t] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-params] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-bse] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-df_model] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-llf] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-nobs] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-params] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-resid] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-scale] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-use_t] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-bse] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-llf] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-params] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-resid] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-scale] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-bse] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-cov_params] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-df_model] PASSED [ 79%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-df_resid] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-llf] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-nobs] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-params] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-resid] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-scale] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-tvalues] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-use_t] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-params] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-bse] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-df_model] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-llf] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-nobs] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-params] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-resid] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-scale] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-use_t] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 80%] 885s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-bse] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-llf] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-params] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-resid] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-scale] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-bse] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-cov_params] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-df_model] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-df_resid] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-llf] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-nobs] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-params] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-resid] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-scale] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-tvalues] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-use_t] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-params] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-bse] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-df_model] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-llf] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-nobs] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-params] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-resid] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-scale] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-use_t] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-bse] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-llf] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-params] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-resid] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-scale] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-bse] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-cov_params] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-df_model] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-df_resid] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-llf] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-nobs] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-params] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-resid] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-scale] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-tvalues] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-use_t] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-params] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-bse] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-df_model] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-llf] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-nobs] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-params] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-resid] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-scale] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-use_t] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-bse] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-llf] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 80%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-params] PASSED [ 81%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-resid] PASSED [ 81%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-scale] PASSED [ 81%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 81%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 81%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 81%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 81%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 81%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 81%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-bse] PASSED [ 81%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-cov_params] PASSED [ 81%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-df_model] PASSED [ 81%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-df_resid] PASSED [ 81%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 81%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-llf] PASSED [ 81%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-nobs] PASSED [ 81%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-params] PASSED [ 81%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-resid] PASSED [ 81%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-scale] PASSED [ 81%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-tvalues] PASSED [ 81%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-use_t] PASSED [ 81%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 81%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 81%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 81%] 886s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-params] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-bse] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-df_model] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-llf] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-nobs] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-params] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-resid] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-scale] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-use_t] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-bse] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-llf] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-params] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-resid] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-scale] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-bse] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-cov_params] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-df_model] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-df_resid] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-llf] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-nobs] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-params] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-resid] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-scale] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-tvalues] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-use_t] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-params] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-bse] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-df_model] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-llf] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-nobs] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-params] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-resid] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-scale] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-use_t] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-bse] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-llf] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-params] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-resid] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-scale] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-bse] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-cov_params] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-df_model] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-df_resid] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-llf] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-nobs] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-params] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-resid] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-scale] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-tvalues] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-use_t] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-params] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-bse] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-df_model] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-llf] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-nobs] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-params] PASSED [ 81%] 887s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-resid] PASSED [ 81%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-scale] PASSED [ 81%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 81%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-use_t] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-bse] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-llf] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-params] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-resid] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-scale] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-bse] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-cov_params] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-df_model] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-df_resid] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-llf] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-nobs] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-params] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-resid] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-scale] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-tvalues] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-use_t] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-params] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-bse] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-df_model] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-llf] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-nobs] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-params] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-resid] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-scale] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-use_t] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-bse] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-llf] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-params] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-resid] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-scale] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-bse] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-cov_params] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-df_model] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-df_resid] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-llf] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-nobs] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-params] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-resid] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-scale] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-tvalues] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-use_t] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-params] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-bse] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-df_model] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-llf] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-nobs] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-params] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-resid] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-scale] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-use_t] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-bse] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-llf] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-params] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-resid] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-scale] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 82%] 888s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 82%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 82%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 82%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-bse] PASSED [ 82%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-cov_params] PASSED [ 82%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-df_model] PASSED [ 82%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-df_resid] PASSED [ 82%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 82%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-llf] PASSED [ 82%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-nobs] PASSED [ 82%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-params] PASSED [ 82%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-resid] PASSED [ 82%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-scale] PASSED [ 82%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-tvalues] PASSED [ 82%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-use_t] PASSED [ 82%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 82%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 82%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 82%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 82%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 82%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 82%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 82%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 82%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 82%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 82%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 82%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-params] PASSED [ 82%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 82%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 82%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 82%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 82%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 82%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 82%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 82%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-bse] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-df_model] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-llf] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-nobs] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-params] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-resid] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-scale] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-use_t] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-bse] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-llf] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-params] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-resid] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-scale] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-bse] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-cov_params] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-df_model] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-df_resid] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-llf] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-nobs] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-params] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-resid] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-scale] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-tvalues] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-use_t] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-params] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-bse] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-df_model] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-llf] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-nobs] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-params] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-resid] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-scale] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-use_t] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-bse] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-llf] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-params] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-resid] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-scale] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-bse] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-cov_params] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-df_model] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-df_resid] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-llf] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-nobs] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-params] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-resid] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-scale] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-tvalues] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-use_t] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-params] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 83%] 889s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-bse] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-df_model] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-llf] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-nobs] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-params] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-resid] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-scale] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-use_t] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-bse] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-llf] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-params] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-resid] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-scale] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-bse] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-cov_params] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-df_model] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-df_resid] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-llf] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-nobs] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-params] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-resid] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-scale] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-tvalues] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-use_t] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 83%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 84%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 84%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 84%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 84%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-params] PASSED [ 84%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 84%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 84%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 84%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 84%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 84%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 84%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 84%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 84%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-bse] PASSED [ 84%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 84%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-df_model] PASSED [ 84%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 84%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 84%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-llf] PASSED [ 84%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-nobs] PASSED [ 84%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-params] PASSED [ 84%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-resid] PASSED [ 84%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-scale] PASSED [ 84%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 84%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-use_t] PASSED [ 84%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 84%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 84%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 84%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 84%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: 0, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back: None] PASSED [ 84%] 890s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back: 12] PASSED [ 84%] 891s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back: None] PASSED [ 84%] 891s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back: 12] PASSED [ 84%] 891s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back: None] PASSED [ 84%] 891s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: 3, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back: 12] PASSED [ 84%] 891s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back: None] PASSED [ 84%] 891s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back: 12] PASSED [ 84%] 891s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back: None] PASSED [ 84%] 891s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back: 12] PASSED [ 84%] 892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back: None] PASSED [ 84%] 892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back: 12] PASSED [ 84%] 892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back: None] PASSED [ 84%] 892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back: 12] PASSED [ 84%] 892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 84%] 892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 84%] 892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%] 892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%] 892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] 892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] 892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%] 892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%] 892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%] 892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%] 892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%] 892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%] 892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%] 892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%] 892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%] 892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%] 892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] 892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] 892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] 892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] 892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] 892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] 892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%] 892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%] 892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 84%] 892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 84%] 892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%] 892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%] 892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] 892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] 892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%] 892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%] 892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%] 892s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%] 893s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 84%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 84%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 84%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 84%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 84%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 84%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 84%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 84%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 85%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 85%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 85%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 85%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 85%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 85%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 85%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 85%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%] 894s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 85%] 895s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 86%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 86%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 86%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 86%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] 896s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 86%] 897s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 87%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 87%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 87%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 87%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 87%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 87%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 87%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 87%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 87%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 87%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 87%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 87%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 87%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 87%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 87%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 87%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 87%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 87%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 87%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 87%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 87%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 87%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 87%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 87%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 87%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 87%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 87%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 87%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 87%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 87%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 87%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 87%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 87%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 87%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 87%] 898s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 87%] 899s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 87%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 87%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 87%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 87%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 87%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 87%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 87%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 87%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 87%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 87%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 87%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 87%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 87%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 87%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 87%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 87%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 87%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 87%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 87%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 87%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 87%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 87%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 87%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 87%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 87%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 87%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 87%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 87%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 87%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 87%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 87%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 88%] 900s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 88%] 901s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 88%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 88%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 88%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 88%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 88%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 88%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 88%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 88%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 88%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 88%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 88%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 88%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 88%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 88%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 88%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 88%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 88%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 88%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 88%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 88%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 88%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 88%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 88%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 89%] 902s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 89%] 903s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 89%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 89%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 89%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 89%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 89%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 89%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 89%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 89%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 89%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 89%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 89%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 89%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 89%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 89%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] 904s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 90%] 905s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 90%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 91%] 906s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 91%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 92%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 92%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 92%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 92%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 92%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 92%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 92%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 92%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 92%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 92%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 92%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 92%] 907s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 92%] 908s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 93%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 93%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 93%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 93%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 93%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 93%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 93%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 93%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 93%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 93%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 93%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 93%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 93%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 93%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 93%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 93%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 93%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 93%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 93%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 93%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 93%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 93%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 93%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 93%] 909s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 93%] 910s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 93%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_parameterless_autoreg PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_predict_errors PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_spec_errors PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_ar_select_order_smoke PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_params PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_llf PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_fpe PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_pickle PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_summary PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_pvalues PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_bse PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_predict PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSNoConstant::test_params PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSNoConstant::test_llf PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSNoConstant::test_fpe PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSNoConstant::test_pickle PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSNoConstant::test_summary PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSNoConstant::test_pvalues PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSNoConstant::test_bse PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSNoConstant::test_predict PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag0] PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag1] PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag2] PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag3] PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag4] PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag5] PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag6] PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag7] PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag8] PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag9] PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag10] PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag11] PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag12] PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag13] PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag14] PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag15] PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_named_series[True] PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_named_series[False] PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_series PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_ar_order_select PASSED [ 94%] 911s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_constant_column_trend PASSED [ 94%] 912s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_summary_corner[True] PASSED [ 94%] 912s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_summary_corner[False] PASSED [ 94%] 912s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_score PASSED [ 94%] 912s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_roots PASSED [ 94%] 912s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_equiv_dynamic PASSED [ 94%] 912s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_against_sarimax PASSED [ 94%] 912s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_predict_seasonal PASSED [ 94%] 912s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_predict_exog PASSED [ 94%] 912s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_predict_irregular_ar PASSED [ 94%] 912s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_forecast_start_end_equiv[True] PASSED [ 94%] 912s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_forecast_start_end_equiv[False] PASSED [ 94%] 912s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_start[21] PASSED [ 94%] 912s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_start[25] PASSED [ 94%] 912s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_deterministic PASSED [ 94%] 912s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_forecast_equiv PASSED [ 94%] 912s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_forecast_period_index PASSED [ 94%] 912s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_plot_err PASSED [ 94%] 912s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_resids PASSED [ 94%] 912s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_predictions PASSED [ 94%] 912s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_dynamic_predictions_oos PASSED [ 94%] 912s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_invalid_dynamic PASSED [ 94%] 912s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_exog_prediction PASSED [ 94%] 912s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_old_names PASSED [ 94%] 912s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_diagnostic_summary_short PASSED [ 94%] 912s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_ar_model_predict PASSED [ 94%] 912s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_no_variables PASSED [ 94%] 912s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_removal PASSED [ 94%] 912s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply_exception PASSED [ 94%] 912s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-0-True-n] PASSED [ 94%] 912s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-0-True-ct] PASSED [ 94%] 912s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-0-False-n] PASSED [ 94%] 912s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-0-False-ct] PASSED [ 94%] 912s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-1-True-n] PASSED [ 94%] 912s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-1-True-ct] PASSED [ 94%] 912s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-1-False-n] PASSED [ 94%] 912s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-1-False-ct] PASSED [ 94%] 912s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-3-True-n] PASSED [ 94%] 912s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-3-True-ct] PASSED [ 94%] 913s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-3-False-n] PASSED [ 94%] 913s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-3-False-ct] PASSED [ 94%] 913s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-0-True-n] PASSED [ 94%] 913s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-0-True-ct] PASSED [ 94%] 913s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-0-False-n] PASSED [ 94%] 913s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-0-False-ct] PASSED [ 94%] 913s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-1-True-n] PASSED [ 94%] 913s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-1-True-ct] PASSED [ 94%] 913s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-1-False-n] PASSED [ 94%] 913s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-1-False-ct] PASSED [ 94%] 913s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-3-True-n] PASSED [ 94%] 913s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-3-True-ct] PASSED [ 94%] 913s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-3-False-n] PASSED [ 94%] 913s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-3-False-ct] PASSED [ 94%] 913s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_ar.py::test_autoreg_append_deterministic PASSED [ 94%] 913s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_arima_process.py::test_arma_acovf PASSED [ 94%] 913s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_arima_process.py::test_arma_acovf_persistent PASSED [ 94%] 913s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_arima_process.py::test_arma_acf PASSED [ 94%] 913s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_arima_process.py::test_arma_acf_compare_R_ARMAacf PASSED [ 94%] 913s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_arima_process.py::test_arma_acov_compare_theoretical_arma_acov PASSED [ 94%] 913s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[standard_normal-ma0-ar0] PASSED [ 94%] 913s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[standard_normal-ma0-ar1] PASSED [ 94%] 913s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[standard_normal-ma0-ar2] PASSED [ 94%] 913s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[standard_normal-ma0-ar3] PASSED [ 94%] 913s 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PASSED [ 95%] 914s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_deterministic.py::test_seasonality[range] PASSED [ 95%] 914s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_deterministic.py::test_fourier[range] PASSED [ 95%] 914s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_deterministic.py::test_calendar_time_trend_smoke[None] PASSED [ 95%] 914s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_deterministic.py::test_calendar_fourier_smoke[None] PASSED [ 95%] 914s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[None-freq_period0] PASSED [ 95%] 914s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[None-freq_period1] PASSED [ 95%] 914s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[None-freq_period2] PASSED [ 95%] 914s 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../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_var_to_vecm PASSED [ 99%] 969s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_log_like PASSED [ 99%] 969s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_fc PASSED [ 99%] 969s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_granger_causality PASSED [ 99%] 969s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_inst_causality PASSED [ 99%] 969s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_impulse_response PASSED [ 99%] 969s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_lag_order_selection PASSED [ 99%] 969s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_normality PASSED [ 99%] 970s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_whiteness PASSED [ 99%] 970s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_summary PASSED [ 99%] 970s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_exceptions PASSED [ 99%] 970s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_select_coint_rank PASSED [ 99%] 970s ../../../usr/lib/python3/dist-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_VECM_seasonal_forecast PASSED [100%] 970s 970s =============================== warnings summary =============================== 970s base/tests/test_penalized.py: 2 warnings 970s base/tests/test_shrink_pickle.py: 3 warnings 970s discrete/tests/test_count_model.py: 1 warning 970s discrete/tests/test_discrete.py: 9 warnings 970s tsa/forecasting/tests/test_stl.py: 1 warning 970s tsa/statespace/tests/test_exponential_smoothing.py: 1 warning 970s tsa/statespace/tests/test_impulse_responses.py: 2 warnings 970s tsa/statespace/tests/test_sarimax.py: 1 warning 970s tsa/tests/test_exponential_smoothing.py: 1 warning 970s tsa/vector_ar/tests/test_svar.py: 101 warnings 970s /usr/lib/python3/dist-packages/statsmodels/base/model.py:607: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals 970s warnings.warn("Maximum Likelihood optimization failed to " 970s 970s discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_fit_regularized 970s discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_fit_regularized 970s discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_fit_regularized 970s /usr/lib/python3/dist-packages/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 4 out of 4 parameters 970s Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers 970s warnings.warn(message, ConvergenceWarning) 970s 970s discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_fit_regularized 970s discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_fit_regularized 970s discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_fit_regularized 970s discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_fit_regularized 970s discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_fit_regularized 970s discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized 970s discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized 970s discrete/tests/test_truncated_model.py::TestZeroTruncatedNBPModel::test_fit_regularized 970s /usr/lib/python3/dist-packages/statsmodels/base/l1_solvers_common.py:144: ConvergenceWarning: Could not trim params automatically due to failed QC check. Trimming using trim_mode == 'size' will still work. 970s warnings.warn(msg, ConvergenceWarning) 970s 970s discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_fit_regularized 970s discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_fit_regularized 970s discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_fit_regularized 970s /usr/lib/python3/dist-packages/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 3 out of 6 parameters 970s Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers 970s warnings.warn(message, ConvergenceWarning) 970s 970s discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_null 970s discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict2::test_mean 970s /usr/lib/python3/dist-packages/statsmodels/base/model.py:595: HessianInversionWarning: Inverting hessian failed, no bse or cov_params available 970s warnings.warn('Inverting hessian failed, no bse or cov_params ' 970s 970s discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_fit_regularized 970s /usr/lib/python3/dist-packages/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 1 out of 2 parameters 970s Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers 970s warnings.warn(message, ConvergenceWarning) 970s 970s discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_fit_regularized 970s /usr/lib/python3/dist-packages/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 1 out of 3 parameters 970s Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers 970s warnings.warn(message, ConvergenceWarning) 970s 970s discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_fit_regularized 970s /usr/lib/python3/dist-packages/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 2 out of 5 parameters 970s Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers 970s warnings.warn(message, ConvergenceWarning) 970s 970s discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_params 970s discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_params 970s discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized 970s discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized 970s discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized 970s /usr/lib/python3/dist-packages/numpy/core/fromnumeric.py:88: RuntimeWarning: overflow encountered in reduce 970s return ufunc.reduce(obj, axis, dtype, out, **passkwargs) 970s 970s discrete/tests/test_discrete.py::test_perfect_prediction 970s discrete/tests/test_discrete.py::test_perfect_prediction 970s discrete/tests/test_discrete.py::test_perfect_prediction 970s /usr/lib/python3/dist-packages/statsmodels/discrete/discrete_model.py:227: PerfectSeparationWarning: Perfect separation or prediction detected, parameter may not be identified 970s warnings.warn(msg, category=PerfectSeparationWarning) 970s 970s discrete/tests/test_discrete.py::test_negative_binomial_default_alpha_param 970s /usr/lib/python3/dist-packages/statsmodels/genmod/families/links.py:13: FutureWarning: The nbinom link alias is deprecated. Use NegativeBinomial instead. The nbinom link alias will be removed after the 0.15.0 release. 970s warnings.warn( 970s 970s discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized 970s /usr/lib/python3/dist-packages/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 8 out of 10 parameters 970s Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers 970s warnings.warn(message, ConvergenceWarning) 970s 970s discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized 970s /usr/lib/python3/dist-packages/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 2 out of 11 parameters 970s Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers 970s warnings.warn(message, ConvergenceWarning) 970s 970s discrete/tests/test_predict.py::TestNegativeBinomialPPredict::test_influence 970s discrete/tests/test_predict.py::TestNegativeBinomialPPredict::test_predict 970s discrete/tests/test_predict.py::TestGeneralizedPoissonPredict::test_influence 970s discrete/tests/test_truncated_model.py::TestHurdlePoissonR::test_predict 970s /usr/lib/python3/dist-packages/statsmodels/base/_prediction_inference.py:782: UserWarning: using default log-link in get_prediction 970s warnings.warn("using default log-link in get_prediction") 970s 970s discrete/tests/test_predict.py::test_distr[case9] 970s discrete/tests/test_predict.py::test_distr[case10] 970s discrete/tests/test_predict.py::test_distr[case11] 970s /usr/lib/python3/dist-packages/statsmodels/stats/outliers_influence.py:545: RuntimeWarning: invalid value encountered in sqrt 970s return sf / np.sqrt(hf) / np.sqrt(1 - self.hat_matrix_diag) 970s 970s discrete/tests/test_truncated_model.py::TestZeroTruncatedNBPModel::test_fit_regularized 970s /usr/lib/python3/dist-packages/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 1 out of 4 parameters 970s Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers 970s warnings.warn(message, ConvergenceWarning) 970s 970s genmod/tests/test_gee.py::TestGEE::test_invalid_args[False-True] 970s genmod/tests/test_gee.py::TestGEE::test_invalid_args[True-True] 970s /usr/lib/python3/dist-packages/statsmodels/genmod/generalized_linear_model.py:314: RuntimeWarning: divide by zero encountered in log 970s exposure = np.log(exposure) 970s 970s graphics/tests/test_functional.py: 16 warnings 970s /usr/lib/python3.12/multiprocessing/popen_fork.py:66: DeprecationWarning: This process (pid=3799) is multi-threaded, use of fork() may lead to deadlocks in the child. 970s self.pid = os.fork() 970s 970s nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_continuousdata_lc_cvls 970s /usr/lib/python3/dist-packages/statsmodels/nonparametric/kernel_regression.py:251: RuntimeWarning: invalid value encountered in divide 970s B_x = (G_numer * d_fx - G_denom * d_mx) / (G_denom**2) 970s 970s nonparametric/tests/test_lowess.py::TestLowess::test_duplicate_xs 970s /usr/lib/python3/dist-packages/statsmodels/nonparametric/smoothers_lowess.py:226: RuntimeWarning: invalid value encountered in divide 970s res, _ = _lowess(y, x, x, np.ones_like(x), 970s 970s regression/tests/test_dimred.py::test_covreduce 970s /usr/lib/python3/dist-packages/statsmodels/regression/dimred.py:694: ConvergenceWarning: CovReduce optimization did not converge, |g|=1.287955 970s warnings.warn(msg, ConvergenceWarning) 970s 970s robust/tests/test_scale.py::TestHuberAxes::test_axis1 970s /usr/lib/python3/dist-packages/statsmodels/robust/scale.py:292: RuntimeWarning: divide by zero encountered in divide 970s subset = np.less_equal(np.abs((a - mu) / scale), self.c) 970s 970s sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_predict 970s /usr/lib/python3/dist-packages/statsmodels/sandbox/gam.py:327: IterationLimitWarning: 970s Maximum iteration reached. 970s 970s warnings.warn(iteration_limit_doc, IterationLimitWarning) 970s 970s sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_predict 970s /usr/lib/python3/dist-packages/statsmodels/genmod/families/family.py:1367: ValueWarning: Negative binomial dispersion parameter alpha not set. Using default value alpha=1.0. 970s warnings.warn("Negative binomial dispersion parameter alpha not " 970s 970s stats/tests/test_corrpsd.py::TestCovPSD::test_cov_nearest 970s stats/tests/test_corrpsd.py::TestCorrPSD1::test_nearest 970s stats/tests/test_corrpsd.py::test_corrpsd_threshold[0] 970s stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-15] 970s stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-10] 970s stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-06] 970s /usr/lib/python3/dist-packages/statsmodels/stats/correlation_tools.py:89: IterationLimitWarning: 970s Maximum iteration reached. 970s 970s warnings.warn(iteration_limit_doc, IterationLimitWarning) 970s 970s stats/tests/test_power.py::test_power_solver_warn 970s /usr/lib/python3/dist-packages/statsmodels/stats/power.py:132: RuntimeWarning: invalid value encountered in sqrt 970s pow_ = stats.norm.sf(crit - d*np.sqrt(nobs)/sigma) 970s 970s stats/tests/test_tost.py::test_tost_asym 970s /usr/lib/python3/dist-packages/statsmodels/stats/weightstats.py:1479: RuntimeWarning: invalid value encountered in log 970s low = transform(low) 970s 970s tsa/base/tests/test_tsa_indexes.py::test_instantiation_valid 970s tsa/base/tests/test_tsa_indexes.py::test_instantiation_valid 970s tsa/base/tests/test_tsa_indexes.py::test_instantiation_valid 970s tsa/base/tests/test_tsa_indexes.py::test_instantiation_valid 970s /usr/lib/python3/dist-packages/statsmodels/tsa/base/tsa_model.py:559: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. 970s _index = to_datetime(index) 970s 970s tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_holt_damp_r 970s tsa/holtwinters/tests/test_holtwinters.py::test_no_params_to_optimize 970s /usr/lib/python3/dist-packages/pandas/util/_decorators.py:213: EstimationWarning: Model has no free parameters to estimate. Set optimized=False to suppress this warning 970s return func(*args, **kwargs) 970s 970s tsa/holtwinters/tests/test_holtwinters.py::test_start_params[add-mul] 970s tsa/holtwinters/tests/test_holtwinters.py::test_start_params[add-mul] 970s tsa/holtwinters/tests/test_holtwinters.py::test_start_params[mul-mul] 970s tsa/holtwinters/tests/test_holtwinters.py::test_start_params[mul-mul] 970s tsa/holtwinters/tests/test_holtwinters.py::test_start_params[None-mul] 970s tsa/holtwinters/tests/test_holtwinters.py::test_float_boxcox[add-mul] 970s tsa/holtwinters/tests/test_holtwinters.py::test_float_boxcox[add-mul] 970s tsa/holtwinters/tests/test_holtwinters.py::test_equivalence_cython_python[add-mul] 970s tsa/holtwinters/tests/test_holtwinters.py::test_equivalence_cython_python[mul-mul] 970s /usr/lib/python3/dist-packages/statsmodels/tsa/holtwinters/model.py:84: RuntimeWarning: overflow encountered in matmul 970s return err.T @ err 970s 970s tsa/holtwinters/tests/test_holtwinters.py::test_alternative_minimizers[trust-constr] 970s /usr/lib/python3/dist-packages/scipy/optimize/_differentiable_functions.py:231: UserWarning: delta_grad == 0.0. Check if the approximated function is linear. If the function is linear better results can be obtained by defining the Hessian as zero instead of using quasi-Newton approximations. 970s self.H.update(self.x - self.x_prev, self.g - self.g_prev) 970s 970s tsa/holtwinters/tests/test_holtwinters.py::test_forecast_index_types[irregular] 970s tsa/holtwinters/tests/test_holtwinters.py::test_invalid_index 970s /usr/lib/python3/dist-packages/statsmodels/tsa/base/tsa_model.py:837: FutureWarning: No supported index is available. In the next version, calling this method in a model without a supported index will result in an exception. 970s return get_prediction_index( 970s 970s tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py::test_em_nonstationary 970s tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py::test_em_nonstationary 970s /usr/lib/python3/dist-packages/statsmodels/genmod/generalized_linear_model.py:898: RuntimeWarning: divide by zero encountered in scalar divide 970s return np.sum(resid / self.family.variance(mu)) / self.df_resid 970s 970s tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py::test_em_nonstationary 970s /usr/lib/python3/dist-packages/statsmodels/tsa/statespace/dynamic_factor_mq.py:2695: UserWarning: EM reached maximum number of iterations (2), without achieving convergence: llf=-23.123, convergence criterion=1.8362 (while specified tolerance was 1e-06) 970s warn(f'EM reached maximum number of iterations ({maxiter}),' 970s 970s tsa/statespace/tests/test_mlemodel.py::test_integer_params 970s /usr/lib/python3/dist-packages/statsmodels/tsa/statespace/kalman_filter.py:1762: RuntimeWarning: invalid value encountered in scalar divide 970s self.scale = np.sum(scale_obs[d:]) / nobs_k_endog 970s 970s tsa/statespace/tests/test_sarimax.py::test_plot_too_few_obs 970s /usr/lib/python3/dist-packages/statsmodels/tsa/statespace/mlemodel.py:1235: RuntimeWarning: invalid value encountered in divide 970s np.inner(score_obs, score_obs) / 970s 970s tsa/statespace/tests/test_sarimax.py::test_plot_too_few_obs 970s /usr/lib/python3/dist-packages/numpy/core/fromnumeric.py:3787: RuntimeWarning: Degrees of freedom <= 0 for slice 970s return _methods._var(a, axis=axis, dtype=dtype, out=out, ddof=ddof, 970s 970s tsa/statespace/tests/test_sarimax.py::test_plot_too_few_obs 970s /usr/lib/python3/dist-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide 970s arrmean = um.true_divide(arrmean, div, out=arrmean, 970s 970s tsa/statespace/tests/test_sarimax.py::test_plot_too_few_obs 970s /usr/lib/python3/dist-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide 970s ret = ret.dtype.type(ret / rcount) 970s 970s tsa/statespace/tests/test_sarimax.py::test_sarimax_starting_values_few_obsevations_long_ma 970s /usr/lib/python3/dist-packages/statsmodels/tsa/statespace/sarimax.py:978: UserWarning: Non-invertible starting MA parameters found. Using zeros as starting parameters. 970s warn('Non-invertible starting MA parameters found.' 970s 970s tsa/stl/tests/test_mstl.py::test_number_of_seasonal_components[data-periods2-None-2] 970s tsa/stl/tests/test_mstl.py::test_output_invariant_to_period_order[data-periods_ordered1-windows_ordered1-periods_not_ordered1-windows_not_ordered1] 970s /usr/lib/python3/dist-packages/statsmodels/tsa/stl/mstl.py:218: UserWarning: A period(s) is larger than half the length of time series. Removing these period(s). 970s warnings.warn( 970s 970s tsa/tests/test_exponential_smoothing.py::test_hessian 970s /usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_exponential_smoothing.py:669: PrecisionWarning: Calculation of the Hessian using finite differences is usually subject to substantial approximation errors. 970s austourists_model_fit.model.hessian( 970s 970s tsa/tests/test_stattools.py::TestBreakvarHeteroskedasticityTest::test_2d_input_with_missing_values 970s /usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_stattools.py:461: UserWarning: Later subset of data for variable 2 has too few non-missing observations to calculate test statistic. 970s actual_statistic, actual_pvalue = breakvar_heteroskedasticity_test( 970s 970s tsa/tests/test_stattools.py::TestKPSS::test_none 970s /usr/lib/python3/dist-packages/statsmodels/tsa/tests/test_stattools.py:890: InterpolationWarning: The test statistic is outside of the range of p-values available in the 970s look-up table. The actual p-value is smaller than the p-value returned. 970s 970s kpss(self.x, nlags=None) 970s 970s tsa/tests/test_stattools.py::test_pacf_1_obs 970s /usr/lib/python3/dist-packages/statsmodels/regression/linear_model.py:1483: RuntimeWarning: invalid value encountered in scalar divide 970s r[k] = (x[0:-k] * x[k:]).sum() / (n - k * adj_needed) 970s 970s tsa/tests/test_stattools.py::test_pacf_1_obs 970s /usr/lib/python3/dist-packages/statsmodels/regression/linear_model.py:1490: ValueWarning: Matrix is singular. Using pinv. 970s warnings.warn("Matrix is singular. Using pinv.", ValueWarning) 970s 970s ../../../usr/lib/python3/dist-packages/_pytest/cacheprovider.py:475 970s /usr/lib/python3/dist-packages/_pytest/cacheprovider.py:475: PytestCacheWarning: could not create cache path /usr/lib/python3/dist-packages/statsmodels/.pytest_cache/v/cache/nodeids: [Errno 13] Permission denied: '/usr/lib/python3/dist-packages/statsmodels/pytest-cache-files-g1iz1jwv' 970s config.cache.set("cache/nodeids", sorted(self.cached_nodeids)) 970s 970s ../../../usr/lib/python3/dist-packages/_pytest/stepwise.py:51 970s /usr/lib/python3/dist-packages/_pytest/stepwise.py:51: PytestCacheWarning: could not create cache path /usr/lib/python3/dist-packages/statsmodels/.pytest_cache/v/cache/stepwise: [Errno 13] Permission denied: '/usr/lib/python3/dist-packages/statsmodels/pytest-cache-files-69kjcg1v' 970s session.config.cache.set(STEPWISE_CACHE_DIR, []) 970s 970s -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html 970s == 17462 passed, 396 skipped, 138 xfailed, 228 warnings in 808.16s (0:13:28) === 974s autopkgtest [02:02:33]: test upstreamtests: -----------------------] 975s upstreamtests PASS 975s autopkgtest [02:02:34]: test upstreamtests: - - - - - - - - - - results - - - - - - - - - - 975s autopkgtest [02:02:34]: @@@@@@@@@@@@@@@@@@@@ summary 975s upstreamtests PASS 979s nova [W] Skipping flock in bos03-arm64 979s Creating nova instance adt-plucky-arm64-statsmodels-20241117-014619-juju-7f2275-prod-proposed-migration-environment-15-948b6a22-0088-4365-bde9-b31d74c4ea4d from image adt/ubuntu-plucky-arm64-server-20241116.img (UUID b01758a6-21f8-4caa-9834-062ee0544e32)...